Next Article in Journal
Mangrove Dieback and Leaf Disease in Sonneratia apetala and Sonneratia caseolaris in Vietnam
Next Article in Special Issue
Litterfall and Element Return in an Abies faxoniana Forest in Tibet—A Five-Year Study
Previous Article in Journal
On the Mismatches between the Monetary and Social Values of Air Purification in the Colombian Andean Region: A Case Study
Previous Article in Special Issue
A Stand-Level Comparison of Carbon and Nitrogen Distribution in an Exotic Japanese Cedar Plantation and a Natural Oak Stand
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Forests
Volume 12
Issue 9
10.3390/f12091276
forests-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles thumb_up
...
Endorse textsms
...
Comment
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

How Can Litter Modify the Fluxes of CO2 and CH4 from Forest Soils? A Mini-Review

by
Anna Walkiewicz
1,*,
Adrianna Rafalska
1,
Piotr Bulak
1,
Andrzej Bieganowski
1 and
Bruce Osborne
2
1
Institute of Agrophysics, Polish Academy of Sciences, Doświadczalna 4, 20-290 Lublin, Poland
2
UCD School of Biology and Environmental Science, UCD Earth Institute, University College Dublin (UCD), Belfield, 4 Dublin, Ireland
*
Author to whom correspondence should be addressed.
Forests 2021, 12(9), 1276; https://doi.org/10.3390/f12091276
Submission received: 2 August 2021 / Revised: 10 September 2021 / Accepted: 13 September 2021 / Published: 17 September 2021
(This article belongs to the Special Issue Carbon and Nutrient Accumulation and Decomposition in Forests)
Browse Figures
Versions Notes

Abstract

:
Forests contribute strongly to global carbon (C) sequestration and the exchange of greenhouse gases (GHG) between the soil and the atmosphere. Whilst the microbial activity of forest soils is a major determinant of net GHG exchange, this may be modified by the presence of litter through a range of mechanisms. Litter may act as a physical barrier modifying gas exchange, water movement/retention and temperature/irradiance fluctuations; provide a source of nutrients for microbes; enhance any priming effects, and facilitate macro-aggregate formation. Moreover, any effects are influenced by litter quality and regulated by tree species, climatic conditions (rainfall, temperature), and forest management (clear-cutting, fertilization, extensive deforestation). Based on climate change projections, the importance of the litter layer is likely to increase due to an litter increase and changes in quality. Future studies will therefore have to take into account the effects of litter on soil CO2 and CH4 fluxes for various types of forests globally, including the impact of climate change, insect infestation, and shifts in tree species composition, as well as a better understanding of its role in monoterpene production, which requires the integration of microbiological studies conducted on soils in different climatic zones.

1. Introduction

Forest ecosystems are a critical component of the global carbon (C) budget through their ability to sequester and retain large amounts of CO2 [1]. An elucidation of the functioning of forest ecosystems, including their contribution to greenhouse gas (GHG) exchange, is crucial for the development of adaptation and mitigation strategies. In Europe, forests cover about 35% of the total land area, corresponding to 227 million ha with a decreasing share of coniferous (46%), broadleaved (37%), and mixed (17%) tree species [2].
Forest soils influence the GHG balance, with carbon dioxide (CO2) and methane (CH4) as key elements of the global C cycle. Of the three major GHGs the CO2 flux is quantitatively often the most important and its concentration has increased by 1.9 ppm yr−1 in the last 10 years [3]. The biogenic sources of CO2 efflux from soil are root respiration, rhizomicrobial respiration, priming-related effects, and basal respiration associated with the microbial decomposition of organic matter in soils [4]. Forest ecosystems also significantly contribute to the increase in CO2 emission through forest fires, deforestation [5,6,7], and CO2 release by soil microorganisms colonizing dead trees [7]. For many forests, soil CH4 is another important GHG with a global warming potential (GWP) 28 times greater than that of CO2 [8]. Soils may be a source or sink for CH4 depending on the balance between CH4 production (methanogenesis in an anaerobic environment) and CH4 oxidation (methanotrophy in aerobic conditions) [9,10]. The process of methanotrophy has significant mitigating potential since methanotrophs can contribute to the reduction in atmospheric CH4 (high affinity methanotrophy) on the one hand, but, on the other hand, can also oxidize the higher soil CH4 concentrations before this reaches the atmosphere (low affinity methanotrophy) [11]. Methanotrophy in forest soils is of particular importance, as these soils show high activity compared to soils from other ecosystems due to the dominance of high affinity methanotrophs [12].
In addition to soil, the surface litter layer can make an important contribution to C and nutrient cycling in forest ecosystems [13], changing the soil microclimate [14,15] and affecting soil microbiota. Forest litter is a layer of dead plant material present on the soil surface [16], which may be a source of nutrients and energy for soil microorganisms [17] but can also act as a bidirectional (from the atmosphere to the soil profile and vice versa) barrier to gas diffusion [3,18,19]. The presence of litter may modify soil–atmosphere fluxes of GHGs through different mechanisms. Due to the predicted increase in both atmospheric CO2 concentration and litterfall, the importance of the litter layer as a source of C is likely to rise [20,21], as would any indirect effects associated, for instance, with litter acting as a barrier to gas diffusion. Additionally, management practices in forests, e.g., cultivation or extensive deforestation, often result in enhanced litter fall combined with soil mixing, which accelerates its decomposition and may affect CO2 emission [1,13,22,23,24,25,26]. Thus, the litter layer could be used as an indicator of the likely amount of trace gas emissions, such as CO2, from the forest soil [18]. In terms of CH4 oxidation, it has been reported that litter is more important in regulating CH4 uptake from soil than from roots [27]. The effect of litter on CH4 consumption by forests soils has been documented to be strongly dependent on hydrologic conditions [18,19,28]. Moreover, the regulation of soil processes and the litter layer itself may be a source or sink of GHGs [29,30,31], although this has received little attention in studies [32].
Although litter can have a major impact on the C and GHG balance in forest ecosystems, this has not always been fully recognized. In this review we summarize the available information on the effects of litter on CO2 emission and CH4 uptake in forest soils, including forest-specific impacts, environmental drivers, quantification, the influence of human activity, and the likely effects of climate change. Based on the recent research, we identify a number of knowledge gaps, and directions for future research are highlighted for a better understanding of the relationship between litter and soil–atmosphere GHG (CO2, CH4) exchange, as part of the C cycle.

2. Litter as a Controller of GHG (CO2, CH4) Fluxes

Litter can modify GHG fluxes in different gas-specific ways, although there are also common mechanisms of its effect, regulated by climatic conditions, forest management and climate change factors, summarized in Figure 1.

2.1. Carbon Dioxide (CO2)

There are two essential processes that contribute to the total CO2 efflux from the soil: production and transport [33]. The processes of autotrophic respiration (related to roots and rhizospheric microorganisms) and heterotrophic respiration (from non-rhizospheric microorganisms, bacteria and fungi, including the litter layer) are the soil sources of CO2 [34,35,36]. Respiration is very sensitive to climatic changes and can be influenced by various environmental factors, such as soil moisture and temperature, microbial communities, the type of vegetation, or soil surface litter [13,36,37,38]. It is documented in many studies that aboveground litter inputs have a significant effect on soil respiration in various types of forests (see [13,39,40,41,42]). Moreover, modifications of soil-based CO2 fluxes and decomposed litter are also important CO2 sources [32].
Different mechanisms for the effects of litter on soil CO2 fluxes are presented in the literature. They can generally be classified based on the following impacts (Table 1):
(i)
An alteration in the availability of substrates for soil microbes;
(ii)
modifications in soil microbial communities;
(iii)
a priming effect;
(iv)
the creation of a physical barrier that decreases gas exchange and/or water movement/water retention and acts as an insulating layer that modifies soil temperature.
However, none of these effects are mutually exclusive and a litter-related increase in C substrate availability, for instance, could occur in agreement with an alteration in the microbial communities of the soil and/or a lower soil temperature, as indicated in Table 1.
The litter layer in different forest types can act as a reservoir of organic (e.g., sugars, phenolics, hydrocarbons and glycerides) and inorganic compounds (e.g., N, P, Ca) that can be used as substrates for soil microbes and plants [16,18,41]. Removal of the litter layer in an eastern Amazonian regrowth forest resulted in a significantly lower soil CO2 efflux due to a decrease in substrate availability [43]. The litter layer which accumulated during the drier season may be a source of C and N for soil microbes through decay in the wetter season. Therefore, the decrease in CO2 flux was caused by the withdrawal of fresh substrates for heterotrophic respiration associated with the litter decomposition processes [44]. The removal of litter also resulted in a reduction in the dissolved organic carbon (DOC) concentration, one of the easily mineralizable substrates for microorganisms resulting in a decrease in CO2 emission from subtropical forest soil [3]. The CO2 fluxes from the soils of an Acacia mangium deciduous forest were linked with the amount of litter and the total soil C content both in the dry and wet seasons. It is also known that litter removal can significantly reduce microbial biomass C (MBC), as well as microbial biomass nitrogen (MBN), in (sub-)tropical forests [15]. In turn, it is shown that the addition of litter increases soil microbial biomass in a coniferous forest in China [53]. On the other hand, the depletion of C substrates for microorganisms because of litter removal did not affect the microbial biomass in a sclerophyll forest in Chile, which was explained by topsoil resilience in this type of ecosystem where litter removal is a common practice due to its use in gardens [45].
The structure of soil microorganisms determines the efficiency of C use, since fungi are more effective in assimilating C from litter than bacteria because they can store more C than is necessary for their metabolic processes [54,55]. These microbes can also decompose some recalcitrant compounds like lignin, as well as cellulose and hemicellulose, contained in fallen leaves and/or needles with the use of fungal polymer-degrading enzymes [56,57]. Fungi are more resistant to decomposition processes than bacteria, as their cell walls contain more durable compounds (i.e., carbon polymers such as chitin and melatin) than bacterial cell walls (i.e., phospholipids and peptidoglycan) [55]. The combination of N [58,59] with an increased fungal biomass was found to decrease the soil respiration rate [13,60], since when the litter layer is N-deficient, decomposing microbes are less capable of utilizing the available C [61]. The vegetation type also influences the structure of microbe populations in the litter. Fungi are more tolerant to tannins than bacteria, and it is known that needle litter contains greater amounts of these compounds than leaf litter [62,63]. Fernández-Alonso et al. [64] reported that leaf litter was dominated by Gram-negative bacteria in contrast to needle litter, which was dominated by Gram-positive bacteria and saprophytic fungi, and also had a higher ratio of fungi to bacteria. The community of microorganisms inhabiting beech forest litter was dominated by fungi [56], and litter removal in subtropical pine forest resulted in an increased ratio of fungi to bacteria [13], while the addition of litter in a nutrient-deficient Pinus sylvestris var. mongolica plantation significantly reduced the ratio of Gram-positive to Gram-negative bacteria [53]. Based on the information presented above, it can be concluded that changes in microbial communities (e.g., the reduction in microbial biomass and activities) caused by litter manipulations are one of the main factors which decreases soil respiration in coniferous forests [13,39,41,65].
Higher CO2 emissions related to the addition of litter may have been caused by the so-called priming effect, which resulted in an increased mineralization of fresh organic C residues present in the litter [66,67,68,69,70]. During the priming effect, the contribution of fresh organic matter to the soil increased, the decomposition processes were stimulated, and the older stored C was released from the soil as CO2 [52,71]. This effect occurred when the activity of microorganisms or the community composition was changed due to the impact of litter manipulations on the decomposition processes associated with organic matter in soil [52,64]. Leaf litter chemistry strongly influenced the magnitude of the soil priming effect, which was positively influenced by the concentrations of several cations (Ca, K, and Mg) in the later stage of litter decomposition [71]. Although the CO2 emissions were higher in the tropical forest, the addition of litter due to the priming effect had a greater impact on soil respiration in the temperate deciduous forest. In subtropical and tropical forests, priming effects could occur when nutrients were limited and soil microorganisms had a sufficient substrate (C) which was a source of energy [72].
The litter layer acted as a physical barrier for O2 diffusion and, especially under wet conditions (e.g., after rainfall), could result in an anaerobic environment for GHG production [32,41]. Generally, both very low and very high water contents resulted in lower soil CO2 emissions by limiting the substrate supply to microorganisms (under conditions which were too dry) and the reduction in O2 (under conditions which were too wet) [73]. In a study including different initial soil moisture contents, it was shown that, initially, CO2 emissions were higher in flooded soil compared with wet soil. In contrast, after 5 days of the experiment, CO2 emissions were lower since flooding conditions restricted microbial growth and activity. However, at day 20, CO2 emissions from the flooded soil, which had become wet again, increased and then decreased gradually. The higher CO2 emissions were explained by enhanced activities of microbes due to the higher DOC contents in the flooded, as opposed to, wet soil [74].
Water fluctuations regulated CH4 fluxes by afffecting soil microorganisms involved in CH4 balance. CH4 emissions from soil increased with increased moisture and flood conditions which were preferential for methanogenes producing CH4, while such conditions limited the process of methanotrophs oxidizing CH4 under O2 availability [10]. But methanotrophs needed both O2 and water, although the optimum moisture for methanotrophy was determined by soil properties [10]. The effect of water on the CH4 cycle depended on the original soil moisture content. Periodic rainfall events could stimulate methanotrophy (when the soil is dry) and stimulate methanogenes (and CH4 emission) when the soil was wet.

2.2. Methane (CH4)

The diffusion of CH4 from the atmosphere into the soil strongly affects CH4 consumption, since the upper-most well-aerated mineral soil located immediately underneath the organic layer exhibits the highest methanotrophic activity [28,75]. The mechanisms associated with the effects of litter atmospheric CH4 uptake by soils are regulated by moisture [19,27,32], as CH4 diffusion is 104 times slower in water than in air [76].
The litter layer may influence soil CH4 uptake in opposing ways as summarized in Table 2:
(i)
decrease the uptake by acting as a physical barrier to gas diffusion and reduced aeration due to faster litter decomposition in wet conditions;
(ii)
increase the uptake through the maintenance of soil gas diffusivity under wetter/high rainfall conditions;
(iii)
influence the capability of the soil for oxidizing CH4;
(iv)
provide a source of nutrients for methanotrophs;
(v)
improve the formation of macro-aggregates, which facilitates CH4 transport for methanotrophs.
The role of litter as a physical barrier that restricts the uptake of atmospheric CH4 is confirmed in studies on forests with different tree species, e.g., pine forests (P. strobus L.) [78], Scots pine [79], evergreen slash pine [19], pure and mixed stands of Norway spruce and European beech [28,80], and beech and oak forests [75,81]. Since the litter layer may serve as a moisture-dependent bidirectional buffer for atmospheric CH4 uptake, various effects of litter on CH4 uptake by forest soils are observed in different ecoregions of China [19,31]. The increase in CH4 oxidation after litter removal is the result of an effect on the availability of both CH4 and O2 for methanotrophs through an impact on gas diffusion, which may be limited, particularly under wet conditions [3,18,19,75,80,81,82]. Since O2 diffusivity in water (2.1 × 10−5 cm2 s−1) is lower compared to CH4 (2.6 × 10−5 cm2 s−1), it is more likely that O2 availability is the major factor influencing soil microbiological processes in wet soil. The diffusivity of O2 in air is also lower than CH4, corresponding to 0.205 cm2 s−1 and 0.250 cm2 s−1, respectively. The diffusion of CH4 into soil was facilitated by litter removal, especially under the higher soil moisture contents found in autumn and winter in pure mature beech forests [32]. With a higher water content, litter may impede CH4 and O2 permeation into the soil [81]. Therefore, CH4 oxidation can be independent of the presence of litter in the dry season, as reported by Wu et al. [27] and Yan et al. [82]. Furthermore, in its role as a physical barrier, the litter layer may facilitate gas diffusion in soil by increasing the formation of macropores [27] since the transformation of litter into organic matter affects soil porosity [85,86]. However, under higher moisture levels, particularly during rainfall events, the presence of litter may increase CH4 uptake by storing water, which cannot penetrate into the soil profile, as suggested by Borken and Beese [28] in a study on loamy silt soil (under mixed and pure beech stands) and Wang et al. [19] in a study on sandy loam (under evergreen slash pine). The lower CH4 oxidation in the wet season is a consequence of the lower aeration and the limited diffusion of atmospheric CH4 due to the reduced diffusion of gases through the litter layer [82] as a consequence of the lower diffusivity of O2 than CH4. On the other hand, there are reports showing an increased CH4 uptake in litter-covered soils. A few studies demonstrate that the litter layer may show a substantial high affinity of CH4 oxidation that occurs in the deepest organic layer overlying the mineral soil [87], which is partly supported by the results of Wu et al. [27]. In contrast, a study on the effect of litter from deciduous and coniferous forests shows that the litter itself is not a significant sink or source of CH4 [88] but may be a source of labile C compounds that can be used by methanotrophs [27,89,90,91].
Despite the suggested mechanisms for litter-related regulation of GHG exchange, there are also studies that show a litter-induced reduction in CH4 uptake from the atmosphere, but they do not explain the mechanisms involved in this process [83,92], which underlines the need for further research in this area.
It is difficult to quantify the effects of litter or litter quality on GHG emissions because of the paucity of reliable data. Two examples (the Figure A1 in Appendix A) indicate that the effects of litter can vary depending on the GHG under consideration, with a positive effect of litter amount on CO2 fluxes but a negative effect on CH4 fluxes, assuming that litter thickness reflects the amount of litter present. The correlations are significant but could be influenced by all the other factors, e.g., variation in soil conditions, tree species, and climate zones.

3. Tree Species-Specific Mechanisms of the Litter Effect on GHG Fluxes

Tree species and age may also influence the effect of litter on GHG fluxes through differences in litter quality [42,93] that may modify both the soil characteristics and microbial activity. In tropical forests, the C/N ratio in leaf litter differed significantly among four sites with dominant Leuceana leucocephala, Acacia, Cereus, and Pilosocereus species varying among different forests [94]. In contrast, a study on litter from tree species common in temperate forests (Norway spruce, Sitka spruce, Douglas-fir, European beech, and common oak) reveals that the total litterfall and nutrient concentrations does not differ significantly among the tree species but is affected by site characteristics [95]. The production of leaf litter of a forest predominance of beech (Fagus sylvatica L.), with three deciduous-tree species (beech, ash (Fraxinus excelsior L.), and lime (Tilia cordata Mill. and/or T. platyphyllos Scop.) was also similar to which dominated by five deciduous-tree species (beech, ash, lime, hornbeam Carpinus betulus L.), and maple (Acer pseudoplatanus L. and/or A. platanoides L.). The increasing tree–species diversity (and decreasing the abundance of beech) is accompanied by an increase in the total quantity of Ca and Mg deposited on the soil surface by leaf litter [96]. The increased base status influences microbial populations, biomass and activity through changes in pH. The interpretation of the effect of litter on GHG exchange is improved when studies include accurate and detailed information on ground vegetation. Although studies to date focus mainly on dominant tree species, a few studies also report ground cover, e.g., natural growths and shrubs (Lantana camara, Eupatroim odoratum, Hyptis suavelons) [40], herbs, grasses, scattered patches of mosses [78] and vegetation (Camellia oleifera, Itea yunnanensis), and some low-rise herbs (Artemisia sp.) [18].

3.1. Carbon Dioxide (CO2)

The contribution of the litter layer to respiration ranged from 5% to 45% of the total CO2 emissions from temperate forests soils [3]. The emissions of CO2 were confirmed to be often lower in coniferous forest soils than in deciduous forests [97]. A meta-analysis revealed that natural and doubled litter inputs increased soil respiration in forest ecosystems by 36% and 55%, respectively. The effect of litter inputs on the increase in soil respiration in different types of forests assumed the following order: coniferous forests (50.7%) > broad-leaved forests (41.3%) > mixed forests (31.9%) [89]. In coniferous forests, the removal of litter caused a reduction in CO2 emissions, ranging from 2.61% in a fir forest in Poland to 68% in a Pinus caribeae plantation in Puerto Rico [39]. After the litter layer removal in a pine forest, CO2 emissions were reduced by 43%, while CH4 uptake increased more than twofold under dry and warm soil conditions [78].
These differences may result from the characteristics of the litter layer. Coniferous litter often contains more phenolic acids (e.g., ferulic and p-coumaric acids) than deciduous litter, which can only be used in small concentrations by microbes as substrates for metabolism. At higher concentrations, phenolic acids may inhibit bacterial and fungal activity [62]. Monoterpenes are biogenic volatile organic compounds produced especially by coniferous trees and released through root and litter [98]. Moreover, monoterpenes as well as phenolic compounds belong to secondary plant metabolites [99]. The presence of monoterpenes may increase CO2 production due to their microbial mineralization, as reported in a Norway spruce site, in contrast to European beech samples [77].
The effect of litter on CO2 fluxes can also be influenced by tree age. The removal of litter in deciduous forests lowered CO2 emissions by 5% and 16% in old-growth and 85-year-old forests, respectively [100]. The CO2 fluxes were found to be higher in a newly established (one-year-old) and a mature (38-years-old) stand, than in young (12-years-old), P. radiate plantations. The new and mature stands had more ground vegetation cover (80–90%) than the young radiata pine stands (30%). Together with a lower soil ammonium content (and lower mineralization rate) in the young stand, poor vegetation coverage may have resulted in lower CO2 emissions [25]. The newly established pine stand also showed significantly higher CO2 emissions than the mature stand, due to clear-cut harvesting practices, which result in a lower C/N ratio in the top 10 cm of the soil and lower organic matter quantity. It is known that the maximum CO2 flux occurs in the top 15 cm of soil depth [40]. A reduced amount of litter and a lower C/N ratio cause rapid C mineralization, which results in increased litter respiration [101].
Broadleaf forests were found to have a relatively higher mean annual litterfall and a higher litter quality compared to mixed or pine forests [102,103]. The removal of litter reduced CO2 emissions, to varying extents, depended on the type of deciduous tree species. In hornbeam oak forests, soil respiration decreased only slightly: from 2.88 kg CO2 m−2 year−1 (research point with litter) to 2.78 kg CO2 m−2 year−1 (litter-free research point), but in the acidophilous beech forest, CO2 emissions decreased from 2.18 kg CO2 m−2 year−1 to 1.32 kg CO2 m−2 year−1 after excluding litter. The amount of CO2 emitted from forest soils also depended on the speed of litter decomposition, which differed in different types of forests [42]. A beech stand was found to have the slowest litter decomposition, and its accumulation was approximately two to three times higher than in mixed stands of deciduous tree species [104]. Similarly, in a hornbeam oak forest litter decomposition, processes were faster and CO2 was released more rapidly than in a beech forest. It was estimated that the average decrease in soil respiration globally after litter removal was 27% for different types of forests. The litter decomposition rate, along with soil respiration decreased after litter removal, in a seasonally flooded gallery forest and an upland forest where litter removal resulted in a 10–20% reduction in soil respiration [105]. Therefore, it can be concluded that the rate of litter decomposition had a significant impact on many differences in soil CO2 emissions between various ecosystems. Tropical forests were very important in this context [50], as may have contributed about 67% to the total annual global CO2 efflux [105]. These forests could react differently to litter manipulations, since they differed from temperate forests in terms of soil age, biotic composition, erosion, and/or uplift rates [106,107]. Tropical and subtropical forests may also have varied significantly in soil abiotic (e.g., soil moisture and temperature) and biotic (e.g., litter quantity and quality, tree species) factors, which also influenced the impact of litter inputs on CO2 emissions [39,106,108,109].

3.2. Methane (CH4)

Similar to CO2 emission, forest types differ in soil CH4 uptake ability. The high consumption of atmospheric CH4 by forest soils confirms the involvement of high affinity methanotrophs [12] and the process is carried out by different groups of methanotrophs [110]. Among the most abundant methanotrophs, Methylocystis spp. and Methylococcus more often populate deciduous forest soils than mixed and coniferous forest soils [111]. A number of studies conducted under the same climatic conditions also indicate that tree species affect CH4 uptake in forest soils, with deciduous forests consuming more CH4 than coniferous forests [28,48,112,113]. One of the explanations for this is that it is due to vegetation and soil-related differences in the structure and activity of methanotroph communities [111,114]. Of the factors that could be important, litter and soils from coniferous forests have a lower pH than deciduous stands, typically ranging between 3 and 4 in pine-dominated forests [115,116,117,118]. Such conditions are below the optimum typical level for methanotrophs [119] and may result in a lower CH4 uptake; however, some methanotrophs have adapted to such conditions in forest soils [120]. A study on different temperate tree species shows that soil under beech trees is more acidic and has lower inputs of Ca and Mg via litter in comparison with mixed stands of deciduous tree species [96,104].
The properties of the litter itself are also an important element. Litter in deciduous forests is characterized by a higher degradability than in coniferous forests, which results in higher soil N turnover rates [121]. Strong interactions between CH4 oxidation and soil N have also been reported [122,123,124]. In temperate forests, N fertilization is reported to reduce the CH4 sink [125] due to a salt effect [126] or a higher nitrification rate [127]. In subtropical forests, N deposition can suppress CH4 uptake by altering methanotroph and methanogen abundance, diversity, and community structure [128].
The presence of monoterpenes may be a largely conifer-specific mechanism responsible for the negative effect of the litter layer on methanotroph activity [3,77]. The concentrations of monoterpenes are negligible in European beech leaves (as well as the roots and soil samples) compared with samples from Norway spruce [77]. Monoterpenes are highly volatile but are initially present at relatively high concentrations in recently fallen litter [99,129,130]. They are released during the long-term decomposition of needle litter (or released by roots), and involve rapid changes in their composition [99,129]. Although the rates of monoterpene loss from needle litter are found to vary initially between conifers, most of the monoterpene content is lost after 4–6 months [99] and decreases sharply by 40–85.4% after 90–120 days [129]. Some compounds are also detected in soils and may interact with soil microorganisms, inhibiting methanotrophs, and decreasing soil CH4 oxidation [3,77,131,132]. Methanotrophs may differ in their response to monoterpenes at the same concentration [133]. Among the most abundant monoterpenes, α-pinene is the major inhibitor of CH4 oxidation in soils from a pine, aspen, and mixed stand in Canada [131], while β-pinene has the greatest inhibitory effect on the process in Norway spruce soil [77]. Among conifers, different monoterpene compounds may dominate. For example, α-pinen is found to be the dominant form in needles of Pinus densiflora, Pinus rigida, and Pinus sylvestris, while β-pinene is dominant in needles of Pinus thunbergii, Picea sitchensis, and Picea abies [129]. The removal of the organic layer in a German coniferous mixed forest causes a significant increase in CH4 oxidation rates by a factor of 1.4–2.5 [80]. In Chinese pine stands, the removal of the litter layer reduces soil CO2 emission by 17% and increases CH4 uptake by 24% [18]. This is even higher in a study reported by Fan et al. [3] where the CO2 emissions decrease by 24–32%, while CH4 uptake increases by 55%. Although the litter layer reduces the atmospheric CH4 uptake by dry soil, the removal of the layer has a minimal effect (+0.7%) on the annual CH4 budget, through compensating effects during the wet and dry seasons [19].

4. Environmental Controllers of the Impact of Litter on GHG Fluxes

Consideration of the litter effect on soil GHG fluxes should include the role of climatic conditions, mostly temperature and precipitation. Due to the dynamics of these parameters, the litter effect on GHG fluxes may show significant seasonal variability.
Rainfall in an oak forest is reported to increase CO2 emissions, which results in the rapid reactivation of litter-associated microorganisms [46]. On the other hand, in a tropical montane cloud forest in Peru, lower moisture levels do not change the soil respiration after litter removal, which is explained by the fact that the litter and organic matter are decomposed by microorganisms with different moisture sensitivities [47]. Litter respiration also depends largely on moisture content, and the contribution of litter to soil respiration is influenced by the frequency and amount of precipitation [46,48,134,135]. Warm and humid climatic conditions accelerate organic matter decomposition, resulting in increased rates of soil respiration [100]. Changes in the water content of the litter layer are often transient, since litter is directly exposed to wind and solar radiation [136]; nevertheless, they can influence CO2 emissions, and therefore the overall forest CO2 budget [137]. Continuous cycles of wetting and drying of the litter layer led to transient CO2 emission [136,138]. An increase in CO2 emissions followed by an increase in the litter moisture content due to rainfall was also reported in a semi-deciduous old-growth tropical forest (with mostly evergreen species) [49] and in a forest dominated by Quercus serrata Thunb. [136]. Studies carried out in coniferous and deciduous forests in different locations in Europe (Italy, the Netherlands, and Finland) show that leaf litter is the main source of CO2 and the emissions peak at the higher moisture contents for all types of litter, temperatures, or sites, while the optimum soil CO2 emissions are achieved at intermediate moisture contents (40–70% WFPS) [88]. Litter removal causes a decrease in soil moisture [15] (compared to soil with litter) and when soil moisture is low, both the transport of nutrients and the metabolism of decomposing microbes are reduced [139,140].
Hydrological conditions are a strong regulator of the CH4 cycle since saturated (flooded) soil can be a source of methane, while well-aerated soil can be a sink of this gas [10]. After a high rainfall in the temperate zone or during the wet season in a tropical climate, soil may also emit CH4, although the net exchange between soils and the atmosphere depends on how this impacts the balance between CH4 production and consumption [19]. The strong dependence of CH4 oxidation on water content is confirmed as litter addition during the dry season, as this does not significantly affect CH4 uptake, while it decreases by 47.1 ± 4.9% during the wet season after doubling the litter level [27]). The litter effect may result from enhanced microbial activity and/or from changes in litter quality and decomposition rate [16]. It is reported that litter may store water during rainfall events. Since water cannot penetrate the mineral soil, a high soil diffusivity is maintained [28]. However, a study on different types of needleleaf and broadleaf litters revealed that the rainfall interception storage capacity of the litter layer varied with physical features and rainfall characteristics [93]. The interception-related storage capacity of needle litters varied significantly with the litter type, while there were no significant differences in water storage across the broadleaf litter types. It was reported that a higher intensity or longer duration of rainfall events could increase the interception storage capacity in all broadleaf and needleleaf litters [93].
The litter layer was an effective insulator, isolating the soil from the effects of variations in irradiance, consequently lowering soil temperature [21]. In a deciduous forest, litter and soil temperatures were responsible for 68% to 81% of the variability in CO2 emissions, respectively [100]. When there was no litter on the soil surface, the influence of temperature on soil respiration was higher, the activity of soil microbes and their enzymes increased, and the degradation of organic matter was greater. Thus, under these conditions, an increase in soil CO2 emission could often be observed [21,141,142,143]. After the removal of litter in a Quercetum petraeae-cerris forest in northeastern Hungary, the soil was found to reach higher temperatures in summer and lower temperatures in winter [37]. The greatest reductions in CO2 emissions after litter exclusion were observed in a Cinnamomum camphora forest in China (39.2%) [144], in a beech (Fagus sylvatica) forest in Poland (about 39.45%) [42], and in a wet tropical forest dominated by Tabebuia heterophylla in Puerto Rico (54%) [39].

5. Forest Management

In addition to environmental regulators, forest management can also control the contribution of litter to GHG emissions, via their effect on litter inputs through management practices involving tree removal, grazing, extensive deforestation, or fertilization [13,22,23,24]. Soil disturbance, as well as the mixing and movement of litter and organic material deeper into the mineral soil layer during the mechanical site preparation in clear-cut sites results in a decrease or no increase in CO2 emissions, although litter decomposition accelerates [1,25,26]. It is reported that clear-cut harvesting results in an up to 50% decrease in soil C [1,25], but a low or insignificant impact on C stocks is also reported [145,146]. In spruce forests after clear-cutting, soil respiration is higher in undisturbed plots than in plots with a disturbed upper soil layer and this is influenced by the thickness of the litter layer, the degree of upper soil damage, and the presence of logging residues on the soil surface [147]. Different management practices modify the soil conditions for methanotrophic bacteria and may differently affect CH4 uptake in forest soils. Clear-cutting is found to weaken the capability of methanotrophs to oxidize CH4 through alterations in soil temperature, water content, and C decomposition, while selective cutting stimulates, suppresses, or has no effect on CH4 uptake [148]. Similar to agricultural soils, fertilization inhibited soil CH4 uptake in N-rich forest soils but promoted consumption in N-deficient forest soils [148]. Forest conversion, which has an important effect on all GHG fluxes, significantly affects CH4 absorption capacity through plant allelopathy (including the release of monoterpenes from litter and roots), changes in soil properties (e.g., temperature, moisture, pH, C and N availability), and has an effect on soil microorganisms [132]. The conversion of a naturally grown beech forest into a pure spruce and a mixed stand in Germany reduces the mean CH4 uptake rates by 58% and 22% during the growing season and by 54% and 20% during the dormant season. This is associated with the formation of a distinct O horizon during the succession and changes in the population density or activity of methanotrophs [28].

6. Effect of Climate Change

Climate change influences CH4 and CO2 fluxes and the net ecosystem C balance through its effect on abiotic and biotic drivers [149,150]. The predicted increases in CO2, N deposition, temperature, elevated ozone concentrations, drought, and acid deposition will have an impact on net primary production (NPP), which in turn will affect both the quality and quantity of aboveground litter [15]. An increase in atmospheric CO2 concentration may stimulate plant growth and thus increase litterfall [20,21,51,144]. The increased litter input will influence soil nutrient content and substrate availability, thereby impacting on microbial community structure and activity with associated increases in CO2 efflux [14,52,105,151,152,153,154,155,156]. Natural and doubled litter inputs tend to increase soil microbial biomass C and soil DOC by 21.0–33.6% and 60.3–87.7%, respectively. Litter inputs also increase the total phospholipid fatty acid (PLFA) content, which are linearly related to soil respiration, whilst decreasing the fungal/bacterial PLFA ratio, which decreases soil respiration [89]. A doubling of needle litter input in old-growth western hemlock (Tsuga heterophylla (Rafinesque) and Douglas fir (Pseudotsua menziessi Mirb.) forests results in increased soil respiration [23] while it does not increase CO2 emissions in a European deciduous forest due to low soil moisture contents, which impede the litter decomposition processes [37]. Higher litter amounts can promote soil C release through the priming effect [70]. It is found that litter addition has a stronger effect on soil respiration in subtropical broadleaf forests than in pine and mixed forests, which is a result of the quantity and quality of the litterfall [13] reflected in the foliar N content, soil C:N ratio, lignin:N ratio, and phenolic content [157]. Climatic factors can also change the chemistry of the litter and affect its susceptibility to decomposition. Elevated CO2 levels decrease the quality of Populus tremuloides leaf litter by increasing the C:N ratio, the phenolic, and the lignin content [158]. In a study on Molinia caerulea litter, N fertilization increases the N and decreases the C concentration, whereas elevated CO2 decreases litter quality (increases C:N) and increases the lignin and saturated fatty acid content [159]. As a consequence, CH4 production in laboratory incubation experiments decreases when litter from N-fertilized plants is used, whereas the litter from elevated CO2 treatments has no effect [159]. Litter addition, in combination with warming, significantly increases CH4 uptake rates due to a soil drying effect and increases the availability of DOC [159]. In turn, the repeated addition of beech litter impedes the diffusion of CH4 and significantly reduces the annual uptake rate; due to their shape, broad beech leaves reduce CH4 uptake more efficiently than spruce needles [160]. Future increases in N deposition may modify monoterpene fluxes in subtropical forests, as demonstrated in a study on a Masson pine forest and a monsoon evergreen broad-leaved forest, where long-term N addition results in an increased monoterpene release from litter [98]. Higher monoterpene contents in the future may reduce methanotrophic activity, as reported previously [3,77].
An increase in the range and impact of alien pests, particularly in Northern and Eastern Europe, is another likely consequence of climate change that may decrease C sequestration in forests, reduce forest structural and functional redundancy, and affect their resilience to future climate change [161,162]. Insect defoliation increases the organic inputs into the soil in the form of insect feces, cadavers, litter (changed in quality), and other plant material, and may result in an increase in soil CO2 emission via a transformation of tree biomass into fast decomposable organic matter [163]. Aside from defoliators, wood-boring infestations can shift forests from C sinks to sources [162].

7. Future Research

The complex and multi-level influences of litter on the soil-atmosphere GHG exchange in forests shows a strong relationship between above- and below-ground processes. Given the important contribution of forest ecosystems to climate change mitigation, an understanding of the, interactions between litter production, CO2 emissions and CH4 uptake, is essential for a more complete understanding of the underlying controls and drivers of the GHG budget in these ecosystems. In turn, this will provide information on how best to utilize forest ecosystems to sequester carbon and reduce GHG emissions. This approach also needs to consider the effects of human activity and associated management interventions and how these are impacted by climate change. Based on this review, we propose that future research should focus on the following areas:
(i)
Due to the sensitivity of soil CO2 efflux to climatic factors, it is important to focus on the multiple effects of climate change (e.g., increased CO2 and CH4 concentrations, increased temperature, drought, extreme precipitation events) on GHG exchange between the atmosphere and the litter-covered soil (or soil without litter) in various types of forests, globally. The litter may have direct or indirect effects on GHG emissions and decomposition processes [144], and even small changes can alter the global C balance, and atmospheric CO2 concentrations, or nutrient cycling, with the potential to exacerbate the effects of climate change [21,105].
(ii)
Equally noteworthy is the need to have a better understanding of global change-driven forest succession, where broad-leaved trees have begun to appear in needle-leaved ecosystems. Due to the shifts in tree composition, a number of ecosystem (e.g., litterfall rates, litter quality and soil-related processes, soil organic matter decomposition, and GHGs production) are changing [64].
(iii)
Climate change affects the primary productivity of forests, and elevated CO2 concentrations in the atmosphere may result in increased litterfall and increased organic matter inputs into the soil, resulting in increased C sequestration [52,144]. Large amounts of aboveground litter can also lead to a priming effect—a complex but not fully understood (especially in situ) soil–plant interaction [68]. As a result of the increased contribution of fresh organic matter to the soil, the decomposition processes are stimulated and the older stored C is released from the soil as CO2 [52]. A better understanding of this phenomenon is important in the context of future climatic scenarios, according to which litter inputs will be increased [52] and the occurrence of priming effects may intensify.
(iv)
The effect of monoterpenes on CH4 uptake is a largely uninvestigated topic and we propose several research areas that require attention: (a) the better recognition and identification of monoterpenes dominant in litter from different tree species, combined with the recognition of methanotroph responses; (b) understanding the longevity of any effects of monoterpenes in litter since recently fallen litter has a higher content of monoterpenes [129,130,164]; (c) finding out whether there are inhibitors that reduce the emissions of terpenes from litter, since monoterpenes can decrease the activity of methanotrophs; (d) the verification of whether methanotrophs produce monoterpenes [165] would be worthwhile with the objective of stimulating CH4 uptake in coniferous forests, as terpenes are generally widespread in both plant and bacterial metabolism [166]; (e) further work is also required on the effect of increasing the N deposition on monoterpene fluxes [98] in all climatic zones.
(v)
The effect of forest pests on GHG emissions, including their impact on litter quality and quantity, is poorly understood [162,163] and requires further investigation.
(vi)
The identification of the underlying processes through which litter influences soil processes requires research into the species composition of microbial consortia occurring in different forest types in a range of climatic zones.
(vii)
Finally, the characteristics of the investigated litter needs to be specified in more detail, including the thickness of the litter, its morphology, temperature, number of layers and the degree of decomposition.

Author Contributions

Conceptualization, A.W., A.R. and P.B.; methodology, A.W., P.B., A.B. and A.R.; software, A.W. and A.R.; validation, B.O. and A.B.; writing—original draft preparation, A.W., P.B. and A.R.; writing—review and editing, B.O. and A.B.; visualization, A.W. and A.R.; supervision, B.O.; project administration, B.O.; funding acquisition, B.O. and A.W. All authors have read and agreed to the published version of the manuscript.

Funding

The research was partly financed by the Polish National Centre for Research and Development within of ERA-NET CO-FUND ERA-GAS Program (contract number ERA-GAS/I/GHG-MANAGE/01/2018) “GHG-Manage”.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author. The data are not publicly available due to privacy.

Conflicts of Interest

The authors declare no conflict of interest. The funders had no role in the design of the review; in the collection, analyses, or interpretation of data; in the writing of the manuscript, or in the decision to publish the review.

Appendix A

Forests 12 01276 g0a1 550
Figure A1. Relationship between (a) annual CO2 emission and litter input (based on: [27,28,33,78,81,86,167,168]); (b) annual CH4 uptake rates and thickness of litter layer (based on: [13,18,20,21,37,44,53,65,74,143,169,170,171,172,173,174]) from different forests.
Figure A1. Relationship between (a) annual CO2 emission and litter input (based on: [27,28,33,78,81,86,167,168]); (b) annual CH4 uptake rates and thickness of litter layer (based on: [13,18,20,21,37,44,53,65,74,143,169,170,171,172,173,174]) from different forests.
Forests 12 01276 g0a1

References

  1. Lal, R. Forest soils and carbon sequestration. For. Ecol. Manag. 2005, 220, 242–258. [Google Scholar] [CrossRef]
  2. Forest Europe. State of Europe’s Forests 2020; Forest Europe: Bonn, Germany, 2020. [Google Scholar]
  3. Fan, J.; Luo, R.; McConkey, B.G.; Ziadi, N. Effects of nitrogen deposition and litter layer management on soil CO2, N2O, and CH4 emissions in a subtropical pine forestland. Nat. Sci. Rep. 2020, 10, 8959. [Google Scholar] [CrossRef]
  4. Kuzyakov, Y. Sources of CO2 efflux from soil and review of partitioning methods. Soil Biol. Biochem. 2006, 38, 425–448. [Google Scholar] [CrossRef]
  5. Baccini, A.; Goetz, S.J.; Walker, W.S.; Laporte, N.T.; Sun, M.; Sulla-Menashe, D.; Hackler, J.; Beck, P.S.A.; Dubayah, R.; Friedl, M.A.; et al. Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps. Nat. Clim. 2012, 2, 182–185. [Google Scholar] [CrossRef]
  6. Carvalho, J.A., Jr.; Amaral, S.S.; Costa, M.A.M.; Soares Neto, T.G.; Veras, C.A.G.; Costa, F.S.; Van Leeuwen, T.T.; Krieger Filho, G.C.; Tourigny, E.; Forti, M.C.; et al. CO2 and CO emission rates from three forest fire controlled experiments in Western Amazonia. Atmos. Environ. 2016, 135, 73–83. [Google Scholar] [CrossRef]
  7. Waheed, R.; Chang, D.; Sarwar, S.; Chen, W. Forest, agriculture, renewable energy, and CO2 emission. J. Clean. Prod. 2018, 172, 4231–4238. [Google Scholar] [CrossRef]
  8. IPCC. Climate Change 2014: Synthesis Report. Contribution of Working Groups I, II and III to the Fifth Assessment Report of the Intergovernmental Panel on Climate Change; IPCC: Geneva, Switzerland, 2014. [Google Scholar]
  9. Le Mer, J.; Roger, P. Production, oxidation, emission and consumption of methane by soils: A review. Eur. J. Soil Biol. 2001, 37, 25–50. [Google Scholar] [CrossRef]
  10. Wnuk, E.; Walkiewicz, A.; Bieganowski, A. Methanogenesis and aerobic methanotrophy in arable soils contaminated with cadmium. Catena 2020, 189, 104480. [Google Scholar] [CrossRef]
  11. Reay, D.S.; Nadwell, D.B. Methane oxidation in temperate soils: Effects of inorganic N. Soil Biol. Biochem. 2004, 36, 2059–2065. [Google Scholar] [CrossRef]
  12. Nazaries, L.; Murrell, J.C.; Millard, P.; Baggs, L.; Singh, B.K. Methane, microbes implication for landscape-integrated CH4 budget. Glob. Change Biol. 2013, 23, 966–976. [Google Scholar]
  13. Han, T.; Huang, W.; Liu, J.; Zhou, G.; Xiao, Y. Different soil respiration responses to litter manipulation in three subtropical successional forests. Sci. Rep. 2015, 5, 18166. [Google Scholar] [CrossRef]
  14. Sayer, E.J. Using experimental manipulation to assess the roles of leaf litter in the function of forest ecosystems. Biol. Rev. 2006, 81, 1–31. [Google Scholar] [CrossRef]
  15. Xu, S.; Liu, L.L.L.; Sayer, E.J. Variability of above-ground litter inputs alters soil physicochemical and biological processes: A meta-analysis of litterfall-manipulation. Biogeosciences 2013, 10, 7423–7433. [Google Scholar] [CrossRef] [Green Version]
  16. Krishna, M.P.; Mohan, M. Litter decomposition in forest ecosystems: A review. Energ. Ecol. Environ. 2017, 2, 236–249. [Google Scholar] [CrossRef]
  17. Thoms, C.; Gleixner, G. Seasonal differences in tree species’ influence on soil microbial communities. Soil Biol. Biochem. 2013, 66, 239–248. [Google Scholar] [CrossRef]
  18. Cheng, J.; Lee, X.; Zhou, Z.; Wang, B.; Xing, Y.; Cheng, H.; Tang, Y. The effects of litter layer and soil properties on the soil-atmosphere fluxes of greenhouse gases in karst forest, southwest China. Pol. J. Ecol. 2013, 61, 79–92. [Google Scholar]
  19. Wang, Y.; Wang, H.; Ma, Z.; Dai, X.; Wen, X.; Liu, Y.; Wang, Z.L. The litter layer acts a moisture-induced bidirectional buffers for atmospheric methane uptake by soil of a subtropical pine plantation. Soil Biol. Biochem. 2013, 66, 45–50. [Google Scholar] [CrossRef]
  20. Prévost-Bouré, N.C.; Soudani, K.; Damesin, C.; Berveiller, D.; Lata, J.C.; Dufrêne, E. Increase in aboveground fresh litter quantity over-stimulates soil respiration in a temperate deciduous forest. Appl. Soil Ecol. 2010, 46, 26–34. [Google Scholar] [CrossRef]
  21. Kotroczó, Z.; Veres, Z.; Biró, B.; Tóth, J.A.; Fekete, I. Influence of temperature and organic matter content on soil respiration in a deciduous oak forest. Eurasian, J. Soil Sci. 2014, 3, 303–310. [Google Scholar] [CrossRef] [Green Version]
  22. Holmes, K.W.; Chadwick, O.A.; Kyriakidis, P.C.; Silva de Filho, E.P.; Soares, J.V.; Roberts, D.A. Large-area spatially explicit estimates of tropical soil carbon stocks and response to land-cover change. Glob. Biogeochem. Cycles 2006, 20, GB3004. [Google Scholar] [CrossRef]
  23. Crow, S.E.; Lajtha, K.; Bowden, R.D.; Yano, Y.; Brant, J.B.; Caldwell, B.A.; Sulzman, E.W. Increased coniferous needle inputs accelerate decomposition of soil carbon in an old-growth forest. For. Ecol. Manag. 2009, 258, 2224–2232. [Google Scholar] [CrossRef]
  24. Huang, W.; Spohn, M. Effects of long-term litter manipulation on soil carbon, nitrogen, and phosphorus in a temperate deciduous forest. Soil Biol. Biochem. 2015, 83, 12–18. [Google Scholar] [CrossRef]
  25. Barrena, I.; Menéndez, S.; Duñabeitia, M.; Merino, P.; Stange, C.F.; Spott, O.; González-Muria, C.; Estavillo, J.M. Greenhouse gas fluxes (CO2, N2O and CH4) from forest soils in the Basque Country: Comparison of different tree species and growth stages. For. Ecol. Manag. 2013, 310, 600–611. [Google Scholar] [CrossRef] [Green Version]
  26. Mjöfors, K.; Strömgren, M.; Nohrstedt, H.Ö.; Gärdenäs, A.I. Impact of site-preparation on soil-surface CO2 fluxes and litter decomposition in a clear-cut in Sweden. Silva Fenn. 2015, 49, 1–20. [Google Scholar] [CrossRef] [Green Version]
  27. Wu, J.; Lu, M.; Feng, J.; Zhang, D.; Chen, Q.; Li, Q.; Long, C.; Zhang, Q.; Cheng, X. Soil net methane uptake rates in response to short-term litter input change in a coniferous forest ecosystem of central China. Agric. For. Meteorol. 2019, 271, 307–315. [Google Scholar] [CrossRef]
  28. Borken, W.; Beese, F. Methane and nitrous oxide fluxes of soils in pure and mixed stands of European beech and Norway spruce. Eur. J. Soil Sci. 2006, 57, 617–625. [Google Scholar] [CrossRef]
  29. Eickenscheidt, N.; Brumme, R. Regulation of N2O and NOx emission patterns in six acid temperate beech forest soils by soil gas diffusivity, N turnover, and atmospheric NOx concentrations. Plant Soil 2013, 369, 515–529. [Google Scholar] [CrossRef] [Green Version]
  30. Epron, D.; Nouvellon, Y.; Roupsard, O.; Mouvondy, W.; Mabiala, A.; Saint-André, L.; Joffre, R.; Jourdan, C.; Bonnefond, J.; Berbigier, P.; et al. Spatial and temporal variations of soil respiration in a Eucalyptus plantation in Congo. For. Ecol. Manag. 2004, 202, 149–160. [Google Scholar] [CrossRef]
  31. Wang, Y.; Chen, H.; Zhu, Q.; Peng, C.; Wu, N.; Yang, G.; Zhu, D.; Tian, J.; Tian, L.; Kang, X.; et al. Soil methane uptake by grasslands and forests in China. Soil Biol. Biochem. 2014, 74, 70–81. [Google Scholar] [CrossRef]
  32. Leitner, S.; Sae-Tun, O.; Kranzinger, L.; Zechmeister-Boltenstern, S.; Zimmermann, M. Contribution of litter layer to soil greenhouse gas emissions in a temperate beech forest. Plant Soil 2016, 403, 455–469. [Google Scholar] [CrossRef] [Green Version]
  33. Liu, H.; Zhao, P.; Lu, P.; Wang, Y.S.; Lin, Y.B.; Rao, X.Q. Greenhouse gas fluxes from soils of different land-use types in a hilly area of South China. Agric. Ecosyst. Environ. 2008, 124, 125–135. [Google Scholar] [CrossRef]
  34. Andersson, M.; Kjøller, A.; Struwe, S. Microbial enzyme activities in leaf litter, humus and mineral soil layers of European forests. Soil Biol. Biochem. 2004, 36, 1527–1537. [Google Scholar] [CrossRef]
  35. Bond-Lamberty, B.; Wang, C.; Gower, S.T. A global relationship between the heterotrophic and autotrophic components of soil respiration? Glob. Change Biol. 2004, 10, 1756–1766. [Google Scholar] [CrossRef]
  36. Hanson, P.J.; Edwards, N.T.; Garten, C.T.; Andrews, J.A. Separating root and soil microbial contributions to soil respiration: A review of methods and observations. Biogeochemistry 2000, 48, 115–146. [Google Scholar] [CrossRef]
  37. Fekete, I.; Kotroczó, Z.; Varga, C.; Nagy, P.T.; Várbíró, G.; Bowden, R.D.; Tóth, J.A.; Lajtha, K. Alterations in forest detritus inputs influence soil carbon concentration and soil respiration in a Central-European deciduous forest. Soil Biol. Biochem. 2014, 74, 106–114. [Google Scholar] [CrossRef] [Green Version]
  38. Ivanov, A.V.; Braun, M.; Zamolodchikov, D.G.; Lynov, D.V.; Panfilova, E.V. Forest litters as a link in the carbon cycle in coniferous-broadleaved forests of southern far east of Russia. Eurasian Soil Sci. 2018, 51, 1164–1171. [Google Scholar] [CrossRef]
  39. Li, Y.; Xu, M.; Sun, O.J.; Cui, W. Effects of root and litter exclusion on soil CO2 efflux and microbial biomass in wet tropical forests. Soil Biol. Biochem. 2004, 36, 2111–2114. [Google Scholar] [CrossRef]
  40. Mukhopadhyay, S.; Maiti, S.K. Soil CO2 flux in grasslands, afforested land and reclaimed coalmine overburden dumps: A case study. Land Degrad. Develop. 2014, 25, 216–227. [Google Scholar] [CrossRef]
  41. Dou, X.; Zhou, W.; Zhang, Q.; Cheng, X. Greenhouse gas (CO2, CH4, N2O) emissions from soils following afforestation in central China. Atmos. Environ. 2016, 126, 98–106. [Google Scholar] [CrossRef]
  42. Wroński, K.T. Spatial variability of CO2 fluxes from meadow and forest soils in western part of Wzniesienia Łódzkie (Łódź Hills). For. Res. Pap. 2018, 79, 45–58. [Google Scholar] [CrossRef] [Green Version]
  43. Vasconcelos, S.S.; Zarin, D.J.; Capanu, M.; Littell, R.; Davidson, E.A.; Ishida, F.Y.; Santos, E.B.; Araújo, M.M.; Aragão, D.V.; Rangel-Vasconcelos, L.G.T.; et al. Moisture and substrate availability constrain soil trace gas fluxes in an eastern Amazonian regrowth forest. Glob. Biogeochem. Cycle 2004, 18, GB2009. [Google Scholar] [CrossRef]
  44. Konda, R.; Ohta, S.; Ishizuka, S.; Heriyanto, J.; Wicaksono, A. Seasonal changes in the spatial structures of N2O, CO2, and CH4 fluxes from Acacia mangium plantation soils in Indonesia. Soil Biol. Biochem. 2010, 42, 1512–1522. [Google Scholar] [CrossRef]
  45. Fuentes, J.P.; Bown, H.E.; Perez-Quezada, J.F.; Franck, N. Litter removal in a sclerophyll forest: Short- and medium-term consequences for soil properties. Soil Sci. Soc. Am. J. 2014, 78, 634–644. [Google Scholar] [CrossRef]
  46. Sun, W.; Maseyk, K.; Lett, C.; Seibt, U. Litter dominates surface fluxes of carbonyl sulfide in a Californian oak woodland. J. Geophys. Res. Biogeo. 2016, 121, 438–450. [Google Scholar] [CrossRef] [Green Version]
  47. Zimmermann, M.; Meir, P.; Bird, M.; Malhi, Y.; Ccahuana, A. Litter contribution to diurnal and annual soil respiration in a tropical montane cloud forest. Soil Biol. Biochem. 2009, 41, 1338–1340. [Google Scholar] [CrossRef]
  48. Borken, W.; Davidson, E.A.; Savage, K.; Gaudinski, J.; Trumbore, S.E. Drying and wetting effects on carbon dioxide release from organic horizons. Soil Sci. Soc. Am. J. 2003, 67, 1888–1896. [Google Scholar] [CrossRef] [Green Version]
  49. Goulden, M.L.; Miller, S.C.; Da Rocha, H.R.; Menton, M.C.; De Freitas, H.C.; Silva Figueira, M.; Dias de Sousa, C.A. Diel and seasonal patterns of tropical forest CO2 exchange. Ecol. Appl. 2004, 14, S42–S54. [Google Scholar] [CrossRef] [Green Version]
  50. Sayer, E.J.; Powers, J.S.; Tanner, E.V.J. Increased litterfall in tropical forests Boosts the transfer of soil CO2 to the atmosphere. PLoS ONE 2007, 2, e1299. [Google Scholar] [CrossRef] [Green Version]
  51. Sulzman, E.W.; Brant, J.B.; Bowden, R.D.; Lajtha, K. Contribution of aboveground litter, belowground litter, and rhizosphere respiration to total soil CO2 efflux in an old growth coniferous forest. Biogeochemistry 2005, 73, 231–256. [Google Scholar] [CrossRef]
  52. Bréchet, L.M.; Lopez-Sangil, L.; George, C.; Birkett, A.J.; Baxendale, C.; Castro Trujillo, B.; Sayer, E.J. Distinc responses of soil respiration to experimental litter manipulation in temperate woodland and tropical forest. Ecol. Evol. 2018, 8, 3787–3796. [Google Scholar] [CrossRef]
  53. Zhao, Q.; Classen, A.T.; Wang, W.W.; Zhao, X.R.; Mao, B.; Zeng, D.H. Asymmetric effects of litter removal and litter addition on the structure and function of soil microbial communities in a managed pine forest. Plant Soil 2017, 414, 81–93. [Google Scholar] [CrossRef]
  54. Keiblinger, K.M.; Hall, E.K.; Wanek, W.; Szukics, U.; Hämmerle, I.; Ellersdorfer, G.; Böck, S.; Strauss, J.; Sterflinger, K.; Richter, A.; et al. The effect of resource quantity and the resource stoichiometry on microbial carbon-use-efficiency. FEMS Microbiol. Ecol. 2010, 73, 430–440. [Google Scholar] [CrossRef]
  55. Singh, B.K.; Bardgett, R.D.; Smith, P.; Reay, D.S. Microorganisms and climate change: Terrestrial feedbacks and mitigation options. Nat. Rev. Microbiol. 2010, 8, 779–790. [Google Scholar] [CrossRef] [PubMed]
  56. Schneider, T.; Keiblinger, K.M.; Schmid, E.; Sterflinger-Gleixner, K.; Ellersdorfer, G.; Roschitzki, B.; Richter, A.; Eberl, L.; Zechmeister-Boltenstern, S.; Riedel, K. Who is who in litter decomposition? Metaproteomics reveals major microbial players and their biogeochemical functions. ISME J. 2012, 6, 1749–1762. [Google Scholar] [CrossRef] [Green Version]
  57. Bonanomi, G.; De Filippis, F.; Cesarano, G.; La Storia, A.; Zotti, M.; Mazzoleni, S.; Incerti, G. Linking bacterial and eukaryotic microbiota to litter chemistry: Combining next generation sequencing with 13C CPMAS NMR spectroscopy. Soil Biol. Biochem. 2019, 129, 110–121. [Google Scholar] [CrossRef] [Green Version]
  58. Janssens, I.A.; Luyssaert, S. Nitrogen’s carbon bonus. Nat. Geosci. 2009, 2, 318–319. [Google Scholar] [CrossRef]
  59. Reay, D.; Sabine, C.; Smith, P.; Hymus, G. Spring-time for sinks. Nature 2007, 446, 727–728. [Google Scholar] [CrossRef]
  60. Mo, J.; Zhang, W.; Zhu, W.; Fang, Y.; Li, D.; Zhao, P. Response of soil respiration to stimulated N deposition in a disturbed and rehabilitated tropical forest in southern China. Plant Soil 2007, 296, 125–135. [Google Scholar] [CrossRef]
  61. Manzoni, S.; Jackson, R.B.; Trofymow, J.A.; Porporatio, A. The global stoichiometry of litter nitrogen mineralization. Science 2008, 321, 684–686. [Google Scholar] [CrossRef]
  62. Smolander, A.; Loponen, J.; Suominen, K.; Kitunen, V. Organic matter characteristics and C and N transformations in the humus layer under two tree species, Betula pendula and Picea abies. Soil Biol. Biochem. 2005, 37, 1309–1318. [Google Scholar] [CrossRef]
  63. Ushio, M.; Balser, T.C.; Kitayama, K. Effects of condensed tannins in conifer leaves on the composition and activity of the soil microbial community in a tropical montane forest. Plant Soil 2013, 365, 157–170. [Google Scholar] [CrossRef] [Green Version]
  64. Fernández-Alonso, M.; Curiel Yuste, J.; Kitzler, B.; Oritz, C.; Rubio, A. Changes in litter chemistry associated with global change-driven forests succession resulted in time-decoupled responses of soil carbon and nitrogen cycles. Soil Biol. Biochem. 2018, 120, 200–211. [Google Scholar] [CrossRef]
  65. Tang, X.; Liu, S.; Zhou, G.; Zhang, D.; Zhou, C. Soil-atmospheric exchange of CO2, CH4, and N2O in three subtropical forest ecosystems in southern China. Glob. Chang. Biol. 2006, 12, 546–560. [Google Scholar] [CrossRef]
  66. Kuzyakov, Y.; Friedel, J.K.; Stahr, K. Review of mechanisms and quantification of priming effects. Soil Biol. Biochem. 2000, 32, 1485–1498. [Google Scholar] [CrossRef]
  67. Nottingham, A.T.; Griffiths, H.; Chamberlain, P.M.; Stott, A.W.; Tanner, E.V.J. Soil priming by sugar and leaf-litter substrates: A link to microbial groups. Appl. Soil Ecol. 2009, 42, 183–190. [Google Scholar] [CrossRef]
  68. Kuzyakov, Y. Priming effects: Interactions between living and dead organic matter. Soil Biol. Biochem. 2010, 42, 1363–1371. [Google Scholar] [CrossRef]
  69. Lyu, M.; Nie, Y.; Giardina, C.P.; Vadeboncoeur, M.A.; Ren, Y.; Fu, Z.; Wang, M.; Jin, C.; Liu, X.; Xie, J. Litter quality and site characteristics interact to affect the response of priming effect to temperature in subtropical forests. Funct. Ecol. 2019, 33, 2226–2238. [Google Scholar] [CrossRef]
  70. Naldini, M.B.; Harguindeguy, N.P.; Kowaljow, E. Soil carbon release enhanced by increased litter input in a degraded semi-arid forest soil. J. Arid Environ. 2021, 186, 104400. [Google Scholar] [CrossRef]
  71. Chao, L.; Liu, Y.; Freschet, G.T.; Zhang, W.; Yu, X.; Zheng, W.; Guan, X.; Yang, Q.; Chen, L.; Dijkstra, F.A. Litter carbon and nutrient chemistry control the magnitude of soil priming effect. Funct. Ecol. 2019, 33, 876–888. [Google Scholar] [CrossRef]
  72. Nottingham, A.T.; Turner, B.L.; Chamberlain, P.M.; Stott, A.W.; Tanner, E.V.J. Priming and microbial nutrient limitation in lowland tropical forest soils of contrasting fertility. Biogeochemistry 2012, 111, 219–237. [Google Scholar] [CrossRef]
  73. Luo, Y.; Zhou, X. Soil Respiration and the Environment; Academic Press: London, UK, 2006; p. 328. [Google Scholar]
  74. Khalid, M.S.; Shaaban, M.; Hu, R. N2O, CH4, and CO2 emissions from continuous flooded, wet, and flooded converted to wet soils. J. Plant Nutr. Soil Sci. 2019, 19, 342–351. [Google Scholar] [CrossRef]
  75. Price, S.J.; Sherlock, R.R.; Kelliher, F.M.; Mcseveny, T.M.; Tate, K.R.; Condron, L.M. Pristine New Zealand forest soil is a strong methane sink. Glob. Chang. Biol. 2004, 10, 16–26. [Google Scholar] [CrossRef]
  76. Marrero, T.R.; Mason, E.A. Gaseous diffusion coefficients. J. Phys. Chem. Ref. 1972, 1, 3–118. [Google Scholar] [CrossRef]
  77. Maurer, D.; Kolb, S.; Haumaier, L.; Borken, W. Inhibition of atmospheric methane oxidation by monoterpenes in Norway spruce and European beech soils. Soil Biol. Biochem. 2008, 40, 3014–3020. [Google Scholar] [CrossRef]
  78. Peichl, M.; Arain, M.A.; Ullah, S.; Moore, T.R. Carbon dioxide, methane, and nitrous oxide exchanges in an age-sequence of temperate pine forests. Glob. Change Biol. 2010, 16, 2198–2212. [Google Scholar] [CrossRef]
  79. Saari, A.; Heiskanen, J.; Martikainen, P.J. Effect of the organic horizon on methane oxidation and uptake in soil of a boreal Scots pine forest. FEMS Microbiol. Ecol. 1998, 26, 245–255. [Google Scholar] [CrossRef]
  80. Steinkamp, R.; Butterbach-Bahl, K.; Papen, H. Methane oxidation by soils of an N limited and N fertilized spruce forest in the Black Forest, Germany. Soil Biol. Biochem. 2001, 33, 145–153. [Google Scholar] [CrossRef]
  81. Dong, Y.; Scharffe, D.; Lobert, J.M.; Crutzen, P.J.; Sanhueza, E. Fluxes of CO2, CH4 and N2O from temperate forest soil: The effects of leaves and humus layers. Tellus B Chem. Phys. Meteorol. 1998, 50, 243–252. [Google Scholar] [CrossRef]
  82. Yan, Y.; Sha, L.; Cao, M.; Zheng, Z.; Tang, J.; Wang, Y.; Zhang, Y.; Wang, R.; Liu, G.; Wang, Y.; et al. Fluxes of CH4 and N2O from soil under a tropical seasonal rain forest in Xishuangbanna, Southwest China. J. Environ. Sci. 2008, 20, 207–215. [Google Scholar] [CrossRef]
  83. Xiao, D.M.; Wang, M.; Wang, Y.S.; Ji, L.Z.; Han, S.J. Fluxes of soil carbon dioxide, nitrous oxide and firedamp in broadleaved/Korean pine forest. J. For. Res. 2004, 15, 107–112. [Google Scholar]
  84. Pedersen, E.P.; Elberling, B.; Michelsen, A. Seasonal variations in methane fluxes in response to summer warming and leaf litter addition in a subarctic heath ecosystem. J. Geophys. Res. Biogeosci. 2017, 122, 2137–2153. [Google Scholar] [CrossRef]
  85. Liu, Y.; Cui, Z.; Huang, Z.; Miao, H.T.; Wu, G.L. The influence of litter crusts on soil properties and hydrological processes in a sandy ecosystem. Hydrol. Earth Syst. Sci. 2019, 23, 2481–2490. [Google Scholar] [CrossRef] [Green Version]
  86. Zhao, S.W.; Zhao, Y.G.; Wu, J.S. Quantitative analysis of soil pores under natural vegetation successions on the Loess Plateau. Sci. China Earth Sci. 2010, 53, 617–625. [Google Scholar] [CrossRef]
  87. Wolf, K.; Flessa, H.; Veldkamp, E. Atmospheric methane uptake by tropical montane forest soils and the contribution of organic layers. Biogeochemistry 2012, 111, 469–483. [Google Scholar] [CrossRef] [Green Version]
  88. Gritsch, C.; Egger, F.; Zehetner, F.; Zechmeister-Boltenstern, S. The effect of temperature and moisture on trace gas emissions from deciduous and coniferous leaf litter. Biogeosciences 2016, 121, 1339–1351. [Google Scholar] [CrossRef] [Green Version]
  89. Zhang, Y.; Zou, J.; Meng, D.; Dang, S.; Zhou, J.; Osborne, B.; Ren, Y.; Liang, T.; Yu, K. Effect of soil microorgnisms and labile C availability on soil respiration in response to litter inputs in forest ecosystems: A meta-analysis. Ecol. Evol. 2020, 10, 13602–13612. [Google Scholar] [CrossRef]
  90. Sullivan, B.W.; Selmants, P.C.; Hart, S.C. What is the relationship between soil methane oxidation and other C compounds? Glob. Change Biol. 2014, 20, 2381–2382. [Google Scholar] [CrossRef]
  91. Hensgens, G.; Lechtenfeld, O.J.; Guillemette, F.; Laudon, H.; Berggren, M. Impacts of litter decay on organic leachate composition and reactivity. Biogeochemistry 2021, 154, 99–117. [Google Scholar] [CrossRef]
  92. Liu, X.P.; Zhang, W.J.; Hu, C.S.; Tang, X.G. Soil greenhouse gas fluxes from different tree species on Taihang Mountain, North China. Biogeosciences 2014, 11, 1649–1666. [Google Scholar] [CrossRef] [Green Version]
  93. Li, Q.; Lee, Y.E.; Im, S. Characterizing the interception capacity of floor litter with rainfall simulation experiments. Water 2020, 12, 3145. [Google Scholar] [CrossRef]
  94. Erickson, H.; Davidson, E.A.; Keller, M. Former land-use and tree species affect nitrogen oxide emissions from a tropical dry forest. Oecologia 2002, 130, 297–308. [Google Scholar] [CrossRef]
  95. Hansen, K.; Vesterdal, L.; Schmidt, I.K.; Gundersen, P.; Sevel, L.; Bastrup-Birk, A.; Pedersen, L.B.; Bille-Hansen, J. Litter fall and nutrient return in five tree species in a common garden experiment. For. Ecol. Manag. 2009, 257, 2133–2144. [Google Scholar] [CrossRef]
  96. Guckland, A.; Brauns, M.; Flessa, H.; Thomas, F.; Leuschner, C. Acidity, nutrient stocks and organic matter content in soils of a temperate deciduous forest with different abundance of European beech (Fagus sylvatica L.). J. Plant Nutr. Soil Sci. 2009, 172, 500–511. [Google Scholar] [CrossRef]
  97. Longdoz, B.; Yernaux, M.; Aubinet, M. Soil CO2 efflux measurements in a mixed forest: Impact of chamber disturbances, spatial variability and seasonal evolution. Glob. Change Biol. 2000, 6, 907–917. [Google Scholar] [CrossRef]
  98. Huang, X.; Zheng, L.; Guo, P.; Yi, Z. Nitrogen addition inhibits total monoterpene emissions in subtropical forest floor of South China. Soil Ecol. Lett. 2021, 3, 63–72. [Google Scholar] [CrossRef]
  99. Huang, J.; Hammerbacher, A.; Weinhold, A.; Reichelt, M.; Gleixner, G.; Behrendt, T.; van Dam, N.M.; Sala, A.; Gershenzon, J.; Trumbore, S.E.; et al. Eyes on the future—Evidence for trade-offs between growth, storage and defense in Norway spruce. N. Phytol. 2019, 222, 144–158. [Google Scholar] [CrossRef] [PubMed]
  100. Vose, J.M.; Bolstad, P.V. Biotic and abiotic factors regulating forest floor CO2 flux across a range of forest age classes in the southern Appalachians. Pedobiologia 2007, 50, 577–587. [Google Scholar] [CrossRef]
  101. Parfitt, R.L.; Salt, G.J.; Saggar, S. Post-harvest residue decomposition and nitrogen dynamics in Pinus radiata plantations of different N status. For. Ecol. Manag. 2001, 154, 55–67. [Google Scholar] [CrossRef]
  102. Zhou, G.; Guan, L.; Wei, X.; Zhang, D.; Zhang, Q.; Yan, J.; Wen, D.; Liu, J.; Liu, S.; Huang, Z.; et al. Litterfall production along successional and altitudinal gradients of subtropical monsoon evergreen broadleaved forests in Guangdong, China. Plant Ecol. 2007, 188, 77–89. [Google Scholar] [CrossRef]
  103. Chen, H.; Gurmesa, G.A.; Liu, L.; Zhang, T.; Fu, S.; Liu, Z.; Dong, S.; Ma, C.; Mo, J. Effects of litter manipulation on litter decomposition in a successional gradients of tropical forests in southern China. PLoS ONE 2014, 9, e99018. [Google Scholar] [CrossRef] [PubMed]
  104. Guckland, A.; Flessa, H.; Prenzel, J. Controls of temporal and spatial variability of methane uptake in soils of a temperate deciduous forest with different abundance of European beech (Fagus sylvatica L.). Soil Biol. Biochem. 2009, 41, 1659–1667. [Google Scholar] [CrossRef]
  105. Borges Pinto, O., Jr.; Vourlitis, G.L.; De Souza Carneiro, E.M.; De França Dias, M.; Hentz, C.; De Souza Nogueira, J. Interactions between vegetation, hydrology, and litter inputs on decomposition and soil CO2 efflux of tropical forests in the Brazilian Pantanal. Forests 2018, 9, 281. [Google Scholar] [CrossRef] [Green Version]
  106. Townsend, A.R.; Asner, G.P.; Cleveland, C.C. The biogeochemical heterogeneity of tropical forests. Trends Ecol. Evol. 2008, 23, 424–431. [Google Scholar] [CrossRef]
  107. Leff, J.W.; Wieder, W.R.; Taylor, P.G.; Townsend, A.R.; Nemergut, D.R.; Grandy, A.S.; Cleveland, C.C. Experimental litterfall manipulation drives large and rapid changes in soil carbon cycling in a wet tropical forest. Glob. Change Biol. 2012, 18, 2969–2979. [Google Scholar] [CrossRef] [PubMed]
  108. Binkley, D.; Giardina, C. Why do tree species affect soils? The Warp and Woof of tree-soil interactions. Biogeochemistry 1998, 42, 89–106. [Google Scholar] [CrossRef]
  109. Hasselquist, N.J.; Allen, M.F.; Santiago, L.S. Water relations of evergreen and drought-deciduous trees along a seasonally dry tropical forest chronosequence. Oecologia 2010, 164, 881–890. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  110. Kolb, S.; Knief, C.; Dunfield, P.F.; Conrad, R. Abundance and activity of uncultured methanotrophic bacteria involved in the consumption of atmospheric methane in two forest soils. Environ. Microbiol. 2005, 7, 1150–1161. [Google Scholar] [CrossRef] [PubMed]
  111. Kolb, S. The quest for atmospheric methane oxidizers in forest soils. Environ. Microbiol. Rep. 2009, 1, 336–346. [Google Scholar] [CrossRef] [PubMed]
  112. Menyailo, O.V.; Hungate, B.A. Interactive effects of tree species and soil moisture on methane consumption. Soil Biol. Biochem. 2003, 35, 625–628. [Google Scholar] [CrossRef]
  113. Degelmann, D.M.; Kolb, S.; Borken, W. Methane oxidation kinetics differ in European beech and Norway spruce soils. Eur. J. Soil Sci. 2009, 60, 499–506. [Google Scholar] [CrossRef]
  114. Zeng, L.; Tian, J.; Chen, H.; Wu, N.; Yan, Z.; Du, L.; Shen, Y.; Wang, X. Changes in methane oxidation ability and methanotrophic community composition across different climatic zones. J. Soils Sediments 2019, 19, 533–543. [Google Scholar] [CrossRef]
  115. Burgess-Conforti, J.R.; Moore, P.A., Jr.; Owens, P.R.; Miller, D.M.; Ashworth, A.J.; Hays, P.D.; Evans-White, M.A.; Anderson, K.R. Are soils beneath coniferous tree stands more acidic than soils beneath deciduous tree stands? Environ. Sci. Pollut. Res. Int. 2019, 15, 14920–14929. [Google Scholar] [CrossRef]
  116. Lau, E.; Ahmad, A.; Steudler, P.A.; Cavanaugh, C.M. Molecular characterization of methanotrophic communities in forest soils that consume atmospheric methane. FEMS Microbiol. Ecol. 2007, 60, 490–500. [Google Scholar] [CrossRef] [Green Version]
  117. Megonigal, J.P.; Guenther, A.B. Methane emissions from upland forest soils and vegetation. Tree Physiol. 2008, 28, 491–498. [Google Scholar] [CrossRef] [Green Version]
  118. Machacova, K.; Bäck, J.; Vanhatalo, A.; Halmeenmäki, E.; Kolari, P.; Mammarella, I.; Pumpanen, J.; Acosta, M.; Urban, O.; Pihlatie, M. Pinus sylvestris as a missing source of nitrous oxide and methane in boreal forest. Sci. Rep. 2016, 6, 23410. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  119. Hanson, R.S.; Hanson, T.E. Methanotrophic bacteria. Microbiol. Rev. 1996, 60, 439–471. [Google Scholar] [CrossRef]
  120. Nguyen, N.L.; Yu, W.J.; Gwak, J.H.; Kim, S.J.; Park, S.J.; Herbold, C.W.; Kim, J.G.; Jung, M.Y.; Rhee, S.K. Genomic insights into the acid adaptation of novel methanotrophs enriched from acidic forest soils. Front. Microbiol. 2018, 9, 1982. [Google Scholar] [CrossRef] [Green Version]
  121. Ambus, P.; Zechmeister-Boltenstern, S.; Butterbach-Bahl, K. Sources of nitrous oxide emitted from European forest soils. Biogeosciences 2006, 3, 135–145. [Google Scholar] [CrossRef] [Green Version]
  122. Bodelier, P.L.E.; Laanbroek, H.J. Nitrogen as regulatory factor of methane oxidation in soils and sediments. FEMS Microbiol. Ecol. 2004, 47, 265–277. [Google Scholar] [CrossRef]
  123. Bodelier, P.L.E.; Steenbergh, A.K. Interactions between methane and the nitrogen cycle in light of climate change. Curr. Opin. Env. Sustain. 2014, 9, 26–36. [Google Scholar] [CrossRef] [Green Version]
  124. Mochizuki, Y.; Koba, K.; Yoh, M. Strong inhibitory effect of nitrate on atmospheric methane oxidation in forest soils. Soil Biol. Biochem. 2012, 50, 164–166. [Google Scholar] [CrossRef]
  125. Steudler, P.A.; Bowden, R.D.; Melillo, J.M.; Aber, J.D. Influence of nitrogen fertilization on methane uptake in temperate forest soils. Nature 1989, 341, 314–316. [Google Scholar] [CrossRef]
  126. Saari, A.; Rinnan, R.; Martikainena, P.J. Methane oxidation in boreal forest soils: Kinetics and sensitivity to pH and ammonium. Soil Biol. Biochem. 2004, 36, 1037–1046. [Google Scholar] [CrossRef]
  127. Reay, D.S.; Nedwell, D.B.; McNamara, N.; Ineson, P. Effect of tree species on methane and ammonium oxidation capacity in forest soils. Soil Biol. Biochem. 2005, 37, 719–730. [Google Scholar] [CrossRef]
  128. Li, Q.; Peng, H.; Zhang, J.; Li, Y.; Song, X. Nitrogen addition decreases methane uptake caused by methanotroph and methanogen imbalances in a Moso bamboo forest. Sci. Rep. 2021, 11, 5578. [Google Scholar] [CrossRef]
  129. Jo, G.G.; Kim, J.H. Changes in terpenes of three kinds of pine needles during litter decomposition. J. Ecol. Field Biol. 2010, 33, 175–186. [Google Scholar] [CrossRef]
  130. Wilt, F.M.; Miller, G.C.; Everett, R.L.; Hackett, M. Monoterpene concentrations in fresh, senescent and decaying foliage of single-leaf pinyon (Pinus monophylla Torr. & Frem.: Pinaceae) from the western great Basin. J. Chem. Ecol. 1993, 19, 185–194. [Google Scholar]
  131. Amaral, J.A.; Knowles, R. Inhibition of methane consumption in forest soils by monoterpenes. J. Chem. Ecol. 1998, 24, 723–734. [Google Scholar] [CrossRef]
  132. Wu, B.; Mu, C. Effects on Greenhouse Gas (CH4, CO2, N2O) Emissions of Conversion from Over-Mature Forest to Secondary Forest and Korean Pine Plantation in Northeast China. Forests 2019, 10, 788. [Google Scholar] [CrossRef] [Green Version]
  133. Pacheco, A.; Lindner, A.S. Effects of Alpha-pinene and trichloroethylene on oxidation potentials of methanotrophic bacteria. Bull. Environ. Contamin. Toxicol. 2005, 74, 133–140. [Google Scholar] [CrossRef]
  134. Dannenmann, M.; Gasche, R.; Ledebuhr, A.; Holst, T.; Mayer, H.; Papen, H. The effect of forest management on trace gas exchange at the pedosphere-atmosphere interface in beech (Fagus sylvatica L.) forests stocking on calcareous soils. Eur. J. For. Res. 2007, 126, 331–346. [Google Scholar] [CrossRef]
  135. Hanson, P.J.; O’Neill, E.G.; Chambers, M.L.S.; Riggs, J.S.; Joslin, J.D.; Wolfe, M.H. Soil respiration and litter decomposition. In North American Temperate Deciduous Forest Response to Changing Precipitation Regimes. Ecological Studies (Analysis and Synthesis); Hanson, P.J., Wullschleger, S.D., Eds.; Springer: New York, NY, USA, 2003; Volume 166, pp. 163–189. [Google Scholar]
  136. Ataka, M.; Kominami, Y.; Jomura, M.; Yoshimura, K.; Miyama, T.; Kosugi, Y.; Tani, M. CO2 efflux from decomposing leaf litter stack is influenced by the vertical distribution of leaf litter water content and its temporal variation. J. Agric. Meterol. 2015, 71, 263–270. [Google Scholar] [CrossRef] [Green Version]
  137. Wilson, T.B.; Kochendorfer, J.; Meyers, T.P.; Heuer, M.; Sloop, K.; Miller, J. Leaf litter water content and soil surface CO2 fluxes in a deciduous forest. Agric. For. Meteor. 2014, 192, 42–50. [Google Scholar] [CrossRef]
  138. Ataka, M.; Kominami, Y.; Yoshimura, K.; Miyama, T.; Jomura, M.; Tani, M. In situ CO2 efflux from leaf litter layer showed large temporal variation induced by rapid wetting and drying cycle. PLoS ONE 2014, 9, e108404. [Google Scholar] [CrossRef] [PubMed]
  139. Sardans, J.; Peñuelas, J. Drought decreases soil enzyme activity in a Mediterranean Quercus ilex L. forest. Soil Biol. Biochem. 2005, 37, 455–461. [Google Scholar] [CrossRef]
  140. Fekete, I.; Kotroczó, Z.; Varga, C.; Hargitai, R.; Townsend, K.; Csányi, G.; Várbiró, G. Variability of organic matter inputs affects soil moisture and soil biological parameters in a European detritus manipulation experiment. Ecosystems 2012, 15, 792–803. [Google Scholar] [CrossRef]
  141. Veres, Z.; Ktroczó, Z.; Magyaros, K.; Tóth, J.A.; Tóthmérész, B. Dehydrogenase activity in a litter manipulation experiment in temperate forest soil. Acta Silv. Lignaria Hung. 2013, 9, 25–33. [Google Scholar] [CrossRef] [Green Version]
  142. Beni, A.; Soki, E.; Lajtha, K.; Fekete, I. An optimized HPLC method for soil fungal biomass determination and its application to a detritus manipulation study. J. Microbiol. Methods 2014, 103, 124–130. [Google Scholar] [CrossRef]
  143. Buchmann, N. Biotic and abiotic factors controlling soil respiration rates in Picea abies stands. Soil Biol. Biochem. 2000, 32, 1625–1635. [Google Scholar] [CrossRef]
  144. Yan, W.; Peng, Y.; Zhan, C.; Chen, X. The manipulation of aboveground litter input affects soil CO2 efflux in a subtropical liquidambar forest in China. iForest 2019, 12, 181–186. [Google Scholar] [CrossRef]
  145. Tate, K.R.; Ross, D.J.; Scott, N.A.; Rodda, N.J.; Townsend, J.A.; Arnold, G.C. Post-harvest patterns of carbon dioxide production, methane uptake and nitrous oxide production in a Pinus radiata D. Don plantation. For. Ecol. Manag. 2006, 228, 40–50. [Google Scholar] [CrossRef]
  146. Huang, Z.; Clinton, P.W.; Davis, M.R.; Yang, Y. Impacts of plantation forest management on soil organic matter quality. J. Soils Sediments 2011, 11, 1309–1316. [Google Scholar] [CrossRef]
  147. Molchanov, A.G.; Kurbatova, Y.A.; Olchev, A.V. Effect of clear-cutting on soil CO2 emission. Biol. Bull. 2017, 44, 218–223. [Google Scholar] [CrossRef]
  148. Wang, H.L.; Liu, J.; Jiang, P.K.; Zhou, G.M.; Li, Y.F.; Wu, J. Effect of management practices on methane uptake in forest soils. Sci. Silvae Sin. 2017, 53, 156–163. [Google Scholar]
  149. Ström, L.; Falk, J.M.; Skov, K.; Jackowicz-Korcynski, M.; Mastepanov, M.; Christensen, T.R.; Lund, M.; Schmidt, N.M. Controls of spatial and temporal variability in CH4 flux in a high arctic fen over three years. Biogeochemistry 2015, 125, 21–35. [Google Scholar] [CrossRef]
  150. Tate, K.R. Soil methane oxidation and land-use change-From process to mitigation. Soil Biol. Biochem. 2015, 80, 260–272. [Google Scholar] [CrossRef]
  151. Fontaine, S.; Bardoux, G.; Abbadie, L.; Mariotti, A. Carbon input to soil may decrease soil carbon content. Ecol. Lett. 2004, 7, 314–320. [Google Scholar] [CrossRef]
  152. Schaefer, D.A.; Feng, W.; Zou, X. Plant carbon inputs and environmental factors strongly affect soil respiration in a subtropical forest of southwestern China. Soil Biol. Biochem. 2009, 41, 1000–1007. [Google Scholar] [CrossRef]
  153. Graglia, E.; Jonasson, S.; Michelsen, A.; Schmidt, I.K.; Havström, M.; Gustavsson, L. Effects of environmental perturbations on abundance of subarctic plants after three, seven and ten years of treatments. Ecography 2001, 24, 5–12. [Google Scholar] [CrossRef]
  154. Cornelissen, J.H.; Van Bodegom, P.M.; Aerts, R.; Callaghan, T.V.; Van Logtestijn, R.S.P.; Alatalo, J.; Chapin, F.S.; Gerdol, R.; Gudmundsson, J.; Gwynn-Jones, D.; et al. Team. Global negative vegetation feedback to climate warming responses of leaf litter decomposition in cold biomes, Ecol. Lett. 2007, 10, 619–627. [Google Scholar]
  155. Rinnan, R.; Michelsen, A.; Bååth, E.; Jonasson, S. Mineralization and carbon turnover in subarctic heath soil as affected by warming and additional litter. Soil Biol. Biochem. 2007, 39, 3014–3023. [Google Scholar] [CrossRef]
  156. Rinnan, R.; Michelsen, A.; Jonasson, S. Effects of litter addition and warming on soil carbon, nutrient pools, and microbial communities in a subarctic heath ecosystem. Appl. Soil Ecol. 2008, 39, 271–281. [Google Scholar] [CrossRef]
  157. Venterea, R.T.; Groffman, P.M.; Verchot, L.V.; Magill, A.H.; Aber, J.D. Gross nitrogen process rates in temperate forest soils exhibiting symptoms of nitrogen saturation. For. Ecol. Manag. 2004, 194, 129–142. [Google Scholar] [CrossRef]
  158. Tuchman, N.C.; Wetzel, R.G.; Rier, S.T.; Wahtera, K.A.; Teeri, J.A. Elevated atmospheric CO2 lowers leaf litter nutritional quality for stream ecosystem food webs. Glob. Chang. Biol. 2002, 8, 163–170. [Google Scholar]
  159. Pancotto, V.A.; van Bodegom, P.M.; van Hal, J.; van Logtestijn, R.S.P.; Blokker, P.; Toet, S.; Aerts, R. N deposition and elevated CO2 on methane emissions: Differential responses of indirect effects compared to direct effects through litter chemistry feedbacks. J. Geophys. Res. 2010, 115, G02001. [Google Scholar]
  160. Brumme, R.; Borken, W. Site variation in methane oxidation as affected by atmospheric deposition and type of temperate forest ecosystem. Glob. Biogeochem. Cycles 1999, 13, 493–501. [Google Scholar] [CrossRef]
  161. Seidl, R.; Klonner, G.; Rammer, W.; Essl, F.; Moreno, A.; Neumann, M.; Dullinger, S. Invasive alien pests threaten the carbon stored in Europe’s forests. Nat. Commun. 2018, 9, 1626. [Google Scholar] [CrossRef]
  162. Flower, C.E.; Gonzalez-Meler, M.A. Responses of temperate forest productivity to insect and pathogen disturbances. Annu. Rev. Plant Biol. 2015, 66, 547–569. [Google Scholar] [CrossRef] [PubMed]
  163. Grüning, M.M.; Germeshausen, F.; Thies, C. Increased forest soil CO2 and N2O emissions during insect infestation. Forests 2018, 9, 612. [Google Scholar] [CrossRef] [Green Version]
  164. Kainulainen, P.; Holopainen, J.K. Concentrations of secondary compounds in Scots pine needles at different stages of decomposition. Soil Biol. Biochem. 2002, 34, 37–42. [Google Scholar] [CrossRef]
  165. Veraart, A.J.; Garbeva, P.; van Beersum, F.; Ho, A.; Hordijk, C.A.; Meima-Franke, M.; Zweers, A.J.; Bodelier, P.L.E. Living apart together-bacterial volatiles influence methanotrophic growth and activity. ISME J. 2018, 12, 1163–1166. [Google Scholar] [CrossRef]
  166. Yamada, Y.; Kuzuyama, T.; Komatsu, M.; Shin-ya, K.; Omura, S.; Cane, D.E.; Ikeda, H. Terpene synthases are widely distributed in bacteria. Proc. Natl. Acad. Sci. USA 2015, 112, 857–862. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  167. Butterbach-Bahl, K.; Kock, M.; Willibald, G.; Hewett, B.; Buhagiar, S.; Papen, H.; Kiese, R. Temporal variations of fluxes of NO, NO2, N2O, CO2, and CH4 in a tropical rain forest ecosystem. Glob. Biogeochem. Cycles 2004, 18, GB3012. [Google Scholar] [CrossRef]
  168. Menyailo, O.V.; Hungate, B.A.; Abraham, W.-R.; Conrad, R. Changing land use reduces soil CH4 uptake by altering biomass and activity but not composition of high-affinity methanotrophs. Glob. Change Biol. 2008, 14, 2405–2419. [Google Scholar] [CrossRef]
  169. Bowden, R.D.; Nadelhoffer, K.J.; Boone, R.D.; Melillo, J.M.; Garrison, J.B. Contributions of aboveground litter, belowground litter, and root respiration to total soil respiration in a temperate mixed hardwood forest. Can. J. For. Res. 1993, 23, 1402–1407. [Google Scholar] [CrossRef]
  170. Sun, L.; Teramoto, M.; Liang, N.; Yazaki, T.; Hirano, T. Comparison of litter-bag and chamber methods for measuring CO2 emissions from leaf litter decomposition in a temperate forest. J. Agric. Meteorol. 2017, 73, 68–76. [Google Scholar] [CrossRef] [Green Version]
  171. Xiao, W.; Ge, X.; Zeng, L.; Huang, Z.; Lei, J.; Zhou, B.; Li., M. Rates of litter decompostion and soil respiration in relation to soil temperature and water in dfferent-aged Pinus massoniana forests in the Three Gorges Reservoir area, China. PLoS ONE 2014, 9, e101890. [Google Scholar]
  172. Yan, W.D.; Chen, X.Y.; Tian, D.L.; Peng, Y.Y.; Wang, G.J.; Zheng, W. Impacts of changed litter inputs on soil CO2 efflux in three forest types in central south China. Chin. Sci. Bull. 2013, 58, 750–757. [Google Scholar] [CrossRef] [Green Version]
  173. Ming, A.; Yang, Y.; Liu, S.; Wang, H.; Li, Y.; Li, H.; Nong, Y.; Cai, D.; Jia, H.; Tao, Y.; et al. Effects of near natural forest management on soil greenhouse gas flux in Pinus massoniana (Lamb.) and Cunninghamia lanceolata (Lamb.) Hook plantations. Forests 2018, 9, 229. [Google Scholar] [CrossRef] [Green Version]
  174. Wang, H.; Liu, S.; Mo, J.; Zhang, T. Soil-atmosphere exchange of greenhouse gases in subtropical plantations of indigenous tree species. Plant Soil 2010, 335, 213–227. [Google Scholar] [CrossRef]
Forests 12 01276 g001 550
Figure 1. Diagram showing general drivers of litter effects on CO2 emissions and CH4 uptake, including regulating factors.
Figure 1. Diagram showing general drivers of litter effects on CO2 emissions and CH4 uptake, including regulating factors.
Forests 12 01276 g001
Table
Table 1. The main drivers underlying the effects of litter on CO2 emission in different forest soils from different regions based on field studies.
Table 1. The main drivers underlying the effects of litter on CO2 emission in different forest soils from different regions based on field studies.
The Main DriverForest TypeDominant Tree SpeciesTree Age [Years]Tree Height [m]DBH [cm]Tree Density [Trees/ha]Litter Input
[g/m2/year]		MAT [°C]MAP [mm]Soil TypeSoil Texture
(Sand/Silt/Clay [%])		Soil Temperature [°C]Soil Moisture
[%]		Effect of Litter on CO2 FluxesLandscape TypeLocationRef.
Litter as a source of nutrient for microbesPlantationT. grandis (92%)~10n/a10.72 ± 2.1429n/an/a1598n/an/a28.78 ± 1.7510.60 ± 2.42Increased by 14.4% **n/aJharkhand, Eastern India[40]
PlantationEucalyptus sp.312n/a700n/a251200Arenosol (FAO)Sandy~24–33n/aIncreased **coastalPointe Noire, Southwestern Congo[30]
regrowth forestL. pubescens,
M. sylvatica,
V. guianensis,
C. scrobiculata (all species represent 71% of all stems in the stand)		124.9 ± 0.4n/a21,300n/a24–272539 ± 280Distrophic Yellow Latosol Stony Phase I (Brazilian Classification), Sombriustox (U.S. Soil Taxonomy)Sandy clay loam (74/6/20)n/an/aIncreased by 28% **n/aNorthern Brazil (1°19′ S, 47°57′ W)[43]
PlantationAc. mangium823.622.5n/a20–270 (fresh litter); 780–1130 (decayed litter); 1050–1160 (fresh + decayed litter) in wet and dry season27.32750Acrisols (WRB 1998)n/an/a55.5–66.3% WFPSIncreased *Undulating topography (upper and lower plateau, upper and foot slope)South Sumatra (3°52′40″ S, 103°58′40″ E) Indonesia[44]
Pine forestP. massoniana305n/a2600n/a17.81785Ferric Acrisols (USDA soil taxonomy)Loamy clay (21/43/36)24.260.3% WFPSIncreased by 24–32% *Hilly regionYingtan, Jiangxi Province, Southeastern China (28°15′ N, 116°55′ E)[3]
Sclerophyll forestCr.alba, Q. saponaria, Pe. boldus, L. caustican/a5.06 ± 0.876.51 ± 1.392600 ± 978314 ± 30n/a503Pachic HumixereptsSandy
(62.4/26.4/11.2)		n/an/aIncreased by 21.2–33% **Top slope (<4% slope)Central Chile (34°7″ S, 71°11′18″ W)[45]
Mixed pine-broadleaf forestCs. chinensis (50.9%), S. superba,
P. massoniana		100n/an/an/a86122.31680Ultisol (USDA soil taxonomy)Lateritic17.5–24.020.8–27.8Increased by 33–38% **n/aDinghushan Biosphere Reserver, Southern China (23°09′21″ N–23°11′30″ N, 112°30′39″ E–112°33′41″ E)[13]
Pine forestP. massoniana Lamb. (90%)50n/an/an/a35622.31680Ultisol (USDA soil taxonomy)Lateritic18.2–24.817.1–20.9Increased by 37–42% **n/a
Monsoon evergreen broadleaf forestCs. chinensis;
Cr. chinensis,
S. superba,
Cr. concinna,
Ap. yunnanensis,
Ac. acuminatissima,
G. subaequalis (all these species represent >60% of the community biomass)		>400n/an/an/a84922.31680Ultisol (USDA soil taxonomy)Lateritic16.2–23.126.4–28.7Increased by 29–35% **n/a
Enhancement of anaerobic conditions by litterPlantationPl. orientalisn/an/an/an/an/a15.7834Yellow brown soilSilty clay (11/41/48)16.31 ± 1.0512.34 ± 0.80Increased by 18.84% *n/aDanjiangkou Reservoir, Central China (32°45′ N, 111°13′ E)[41]
Soil moisture retention by litterMediterranean oak woodlandQr. agrifolian/an/an/an/an/a19180n/aGravelly loamn/an/aIncreased by 34.2–44.8% ***n/aSanta Monica Mountains, California (34°05′38″ N, 118°39′26″ W) USA[46]
Montane cloud forestClusiaceae, Cunoniaceae, Myrsinaceae, Rosaceae, Clethraceae familiesn/an/an/an/an/a12.5n/an/aAcidicn/an/aNo effect **n/aPeruvian Andes (13°11′28″ S, 71°35′24″ E)[47]
Pine forestP. massoniana50n/an/an/a35622.31680Ultisol (USDA soil taxonomy)Lateritic18.2–24.817.1–20.9Increased by 37–42% **n/aDinghushan Biosphere Reserver, Southern China (23°09′21″ N–23°11′30″ N, 112°30′39″ E–112°33′41″ E)[13]
Mixed deciduous forestAr. rubrum, Qr. rubran/an/an/an/an/a8.51050Typic DystrochreptFine sandy loamn/an/aIncreased **n/aHarvard Forest, Petersham, Massachusetts (42°32′ N, 72°11′ W) USA[48]
Old-growth semidecidous tropical forestn/an/an/a>35n/an/an/a>2000n/an/an/an/aIncreased **Flat plateau (the planalto)Pará, Northern Brazil (3°0′37 S, 54°34′53″ W)[49]
Priming effectOld-growth moist lowland tropical forestn/an/an/an/an/an/a272600Oxisoln/an/an/aIncreased by 20% **n/aGigante Peninsula, central Panama (9°06′ N, 79°54′ W)[50]
Undisturbed old-growth forestTs. heterophylla,
Ps. menziesii		n/an/an/an/an/a8.72370Typic HapludandsCoarse loamy9.529Increased **n/aH.J. Andrews Experimental Forest, Oregon (44°13′ N, 122°13′ W) USA[23]
Undisturbed old-growth forestP. menziesii,
T. heterophylla		n/an/an/an/an/a8.72370Typic HapludandsCoarse loamy
(13% clay)		9.529Increased by 19% and 58% **n/aH.J. Andrews Experimental Forest, Oregon (44°15′ N, 122°10′ W) USA[51]
Temperate deciduous forestQ. petraea (70%),
Cp. betulus (30%)		100–150n/an/an/an/a10.7680Gleyic Luvisol (WRB 2006)Loam
(41.9/38.8/19.3)		2.7 ± 0.520.4 ± 0.6Increased **n/aBarbeau National Forest, Northern Central France (48°29′ N, 02°47′ E)[20]
Mixed deciduous temperate woodlandAr. pseudoplatanus,
Fr. excelsior		n/an/an/an/an/a10714Stagni-vertic Cambisol (FAO/WRB)Clay loamn/an/aIncreased by 30% **n/a Wytham Woods, Oxfordshire (51°43′42″ N, 1°19′42″ W) UK[52]
Semi-deciduous lowland tropical forestArecaceae, Burseraceae, Olacaceae families200n/a≥10n/an/a272600Clay-rich Oxisoln/an/an/aIncreased by 10% **n/aGigante Peninsula, central Panama (9°06′ N, 79°54′ W)[52]
Litter can act as an insulating layer that also buffers the effects of variations in light, temperature and irradiationTemperate deciduous forestQt. petraeae-cerris communityn/an/an/an/a293010.7615.6Brown forest soil, Cambisols (FAO)n/a9.9425.4Reduction ****n/aBükk Mountains, Northeastern Hungary (47°55′ N, 20°26′ E)[21]
Temperate deciduous forestQt. petraeae-cerris communityn/an/an/an/a2754 ± 206 kg C ha−1 yr−110.8599Cambisoln/a11.4 ± 0.93–16.1 ± 0.7812.8 ± 0.78–28.4 ± 1.39% v/v (soil)Reduction ****n/aBükk Mountains, Northeastern Hungary (47°55′ N, 20°26′ E)[37]
T.—Tectona; Ac.—Acacia; L.—Lacistema; M.—Myrcia; V.—Vismia; C.—Cupania; P.—Pinus; Pc.—Picea; Cr.—Cryptocarya; Cs.—Castanopsis; Q—Quillaja; Pe.—Peumus; L.—Lithraea; S.—Schima; Ap.—Aporosa; Ac.—Acmena; G.—Gironniera; Pl.—Plactycladus; Qr—Quercus; Ar.—Acer; Ts.—Tsuga; Cp.—Carpinus; Fr.—Fraxinus; Qt.—Quercetum; Ps.—Pseudotsuga; DBH—diameter at breast height; n/a—data not available; Methods: * gas chromatography (GC); ** infrared gas analyzer (IRGA); *** quantum cascade laser (QCL) spectrometer **** soda-lime technique.
Table
Table 2. The main litter-related drivers of CH4 uptake in different forest soils from different regions based on field studies (except [77]—laboratory incubations).
Table 2. The main litter-related drivers of CH4 uptake in different forest soils from different regions based on field studies (except [77]—laboratory incubations).
The Main DriverForest TypeDominant Tree SpeciesTree Age [Years]Tree Height [m]DBH [cm]Tree Density [Trees/ha]Litter Specification
(Thickness/Input)		MAT [°C]MAP [mm]Soil TypeSoil Texture
(Sand/Silt/Clay [%])		Soil Temperature [°C]Soil MoistureEffect of Litter on CH4 UptakeLandscape TypeLocationRef.
Litter as a diffusion barrierConiferous forestP. strobus (87–100%)4–67n/a19.31265.5 (421–1683)2.5 cm/
267–2324 g m−2		7.81010Brunisolic Gray Brown Luvisol and Gleyed Brunisolic Gray Brown Luvisol (Canadian System of Classification)Sand, loamy sand (80–90/8–18/<5)n/an/aReduction (in June–September period) *Lake shoreSouthern Ontario, Canada[78]
Boreal coniferous forestP. sylvestris27n/an/an/a2–3 cm/n/an/an/aPodzolCoarse sandn/a10.9%Reduction by 50% *n/aCentral Finland (62°39′ N, 27°03′ E)[79]
Temperate coniferous forestPc. abies, Ab. alba,
P. sylvestris		110n/an/an/an/a61200Acid brownn/an/an/a *Reduction by 17%n/aBlack Forest, Southwestern Germany (48°03′ N, 8°22′ E)[80]
Deciduous forestFg. sp., Qr. sp.n/an/an/a~6001–2 cm/~570 g dm m−2 yr−1n/an/aCambisolSandyn/an/aReduction by 17%n/aSouth Central Germany, (49°86′ N, 8°65′ E)[81]
Temperate deciduous forestFg. sylvatican/an/an/an/an/a6.5796Pseudo-gleyic Cambisoln/an/an/aReduction by 16% *n/aRosalien Mountains, Eastern Austria (47°42′26″ N, 16°17′59″ E)[32]
Karst forestP. massonianan/an/a152000n/a14.81118Limestone soilSand siltn/a76.0 ± 7.2% WFPSReduction by 24% *Karst areaGuizhou Province, Southern China (26°32′ N, 106°46′ E)[18]
Lower aeration and limited diffusion of atmospheric CH4 due to fast litter decompositionTropical seasonal rain forestPm. tomentosa,
Br. macrostachya,
G. subaequalis,
Tr. myriocarpa		n/a18.6≥10386n/a21.71557Oxisoln/an/an/aReduction by 29% *Plot located between two hillsXishuangbanna, Southern China (21°56′ N, 101°1′ E)[82]
Monoterpenes released from needles decompositionSubtropical pine forestP. massoniana305n/a2600n/a17.81785Ferric Acrisols (USDA soil taxonomy)Loamy clay (21/43/36)24.260.3% WFPS in wet seasonReduction by 55% *Hilly regionYingtan, Jiangxi Province, Southeastern China (28°15′ N, 116°55′ E)[3]
Temperate deciduous and coniferous forestsF. sylvatica
Pc. abies		n/an/an/an/an/an/an/aHaplic Cambisoln/an/an/aReduction *n/aSteigerwald, South Central Germany (49°51′ N, 10°27′ E; 49°52′ N, 10°27′ E)[77]
Mechanism not knownBroad-leaved pine forestP. koraiensis,
Ar. mono,
Tl. amurensis,
Ul. mongolica,
Fr. mandshurica,
Qr. mongolica		n/a2528.9560 −7.3–4.9600–900Dark brown forest soiln/an/an/aReduction*SlopeChangbai Mountain. Antu County, Northeastern China (42°24′ N, 128°28′ E)[83]
A soil moisture > 15.8% v/v—dependence on soil water contentPlantationP. elliottii201516.1n/an/a17.91469Typic Dystrudepts (USDA Soil Taxonomy)Sandy loam
(68/17/15)		n/an/aIncreased *n/aQianyanzhou Ecological Research Station, Jiangxi Province, Southeastern China (26°44′39″ N, 115°03′33″ E)[19]
Litter as a source of labile C compounds and the improve formation of macro-aggregatesConiferous forestPl. orientalisn/an/an/an/a1–2 cm/n/a15.7749.3Yellow-brown soil (Chinese soil classification), Haplic Luvisols (USDA Soil Taxonomy)Sand (Silt and clay: 9.6%)19.24 ± 2.6959.02 ± 3.81% WFPSIncreased by 37.7% *n/aWulongchi Experiment Station, Hubei Province, Central China (32°45′ N, 111°13′ E)[27]
Improving gas diffusion in soil surface due to water retention by litterTemperate coniferous forestPc. abies (100%)121n/an/a317>8 cm/n/a7.5900Dystric Cambisol (FAO)Loamy silt9.80.42 cm3 cm−3Increased by 11.5% *n/aSolling (51°46′ N, 9°35′ W) Germany[28]
Temperate deciduous forestFg. sylvatica (100%)130n/an/a342<3 cm/n/a7.5900Dystric Cambisol (FAO)Loamy silt10.00.48 cm3 cm−3Increased by 39% *n/a
Temperate mixed forestPc. abies (70%),
Fg. sylvatica (30%)		121n/an/a96n/a7.5900Dystric Cambisol (FAO)Loamy silt9.80.39 cm3 cm−3Increased by 24.3% *n/a
Temperate mixed forestPc. abies (30%),
Fg. sylvatica (70%)		129n/an/a93n/a7.5900Dystric Cambisol (FAO)Loamy silt9.90.42 cm3 cm−3Increased by 19.4% *n/a
PlantationP. massoniana20 n/an/a3–5 cm/7.30 t h m−2 yr−121.71600OxisolSandy clay loam7.7–30.14.67–36.91 cm3 H2O cm−3No effect *Hilly areaHesjan, Guangdong Province (112°54′ E, 22°41′ N) China[33]
Pine forestP. massoniana73n/an/an/an/a/1.8 mg C ha−2 yr−121.41927Lateritic red earth, OxisolLoamy21.8 ± 1.012.3 ± 1.9 cm3 H2O cm−3No effect *Hilly landGuangdong Province, Southern China (112°30′39″–112°33′41″ E, 23°09′21″–23°11′30″ N)[65]
Conifer and broadleaf mixed forestP. massoniana;
S. superba,
C. chinensis,
Cb. kwangtungense		n/an/an/an/an/a/4.3 mg C ha−1 yr−121.41927Lateritic red earth, OxisolLoamy20.1 ± 0.923.3 ± 1.5 cm3 H2O cm−3No effect *n/a
Evergreen broadleaf forestC. chinensis,
Cs. chinensis,
C. concinna,
Er. fordii,
Cy.podophylla		n.an/an/an/an/a/4.2 mg C ha−1 yr−121.41927Lateritic red earth, OxisolLoamy19.9 ± 0.926.1 ± 1.6 cm3 H2O cm−3No effect *n/a
PlantationPl. orientalisn/an/an/an/an/a15.7834Yellow brown soilSilty clay (11/41/48)16.31 ± 1.05 (soil)12.34 ± 0.80%No effect *n/aDanjiangkou Reservoir, Central China (32°45′ N, 111°13′ E)[41]
Water retention by litterSubarctic wet heath ecosystemB. pubescensn/an/an/an/an/a0.2337Organic soiln/an/an/aIncreasedSlightly slopin terrain **Northern Sweden (68°20′47″ N, 18°49′34″ E)[84]
Acting as a diffusion barrier for soil moisture < 15.8% v/vPlantationP. elliottii201516.1n/an/a17.91469Typic Dystrudepts (USDA taxonomy)Sandy loamn/an/aMin Increased +0.7%n/a *Qianyanzhou Ecological Research Station, Jiangxi Province, Southeastern China (26°44′39″ N, 115°03′33″ E)[19]
P.—Pinus; Pc.—Picea; Ab.—Abies; Fg.—Fagus; Pm.—Pometia; Br.—Barringtonia; Tr.—Terminalia; Tl—Tilia; Ul.—Ulmus; Cb.—Craibiodendron; Er.—Erythrophleum; Cy.—Cyathea; B.—Betula; DBH—diameter at breast height; n/a—data not available; Methods: * gas chromatography (GC); ** Ultraportable Greenhouse Gas Analyzer (UGGA).
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Walkiewicz, A.; Rafalska, A.; Bulak, P.; Bieganowski, A.; Osborne, B. How Can Litter Modify the Fluxes of CO2 and CH4 from Forest Soils? A Mini-Review. Forests 2021, 12, 1276. https://doi.org/10.3390/f12091276

AMA Style

Walkiewicz A, Rafalska A, Bulak P, Bieganowski A, Osborne B. How Can Litter Modify the Fluxes of CO2 and CH4 from Forest Soils? A Mini-Review. Forests. 2021; 12(9):1276. https://doi.org/10.3390/f12091276

Chicago/Turabian Style

Walkiewicz, Anna, Adrianna Rafalska, Piotr Bulak, Andrzej Bieganowski, and Bruce Osborne. 2021. "How Can Litter Modify the Fluxes of CO2 and CH4 from Forest Soils? A Mini-Review" Forests 12, no. 9: 1276. https://doi.org/10.3390/f12091276

APA Style

Walkiewicz, A., Rafalska, A., Bulak, P., Bieganowski, A., & Osborne, B. (2021). How Can Litter Modify the Fluxes of CO2 and CH4 from Forest Soils? A Mini-Review. Forests, 12(9), 1276. https://doi.org/10.3390/f12091276

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop