Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.7
3.9
Journals
Land
Special Issues
Land Use Effects on Carbon Storage and Greenhouse Gas Emissions
share announcement

Land Use Effects on Carbon Storage and Greenhouse Gas Emissions

A special issue of Land (ISSN 2073-445X). This special issue belongs to the section "Land–Climate Interactions".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 9182

Special Issue Editors

Dr. Cole D. Gross

E-Mail Website
Guest Editor
Yale School of the Environment, 195 Prospect Street, New Haven, CT 06511, USA
Interests: agroforestry; carbon cycling; forest, grassland, and agricultural soils and their management; soil health; soil organic carbon; subsoil
Dr. Zhengfeng An

E-Mail Website
Guest Editor
Departmemnt of Renewable Resources, University of Alberta, Edmonton, AB T6G 2E3, Canada
Interests: remote sensing; climate change; soil organic carbon
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Scott X. Chang

E-Mail Website
Guest Editor
Department of Renewable Resources, Faculty of Agricultural, Life and Environmental Sciences, University of Alberta, 442 Earth Sciences Building, Edmonton, AB T6G 2E3, Canada
Interests: forest soils; soil nutrient cycling and plant nutrition and the application of soil science in land reclamation, agriculture, forestry and rangeland management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Agricultural soils can contribute to global climate change by acting as an important source of greenhouse gas emissions to the atmosphere. According to the IPCC (2019) report, agriculture contributed 12% of the total global anthropogenic greenhouse gas emissions between 2007 and 2016. An effective means to reduce greenhouse gas emissions and increase carbon sequestration in agroecosystems is through land-use management. This includes incorporation of perennial crops, the adoption of agroforestry systems, or conversion of annually cropped land to perennial ecosystems, such as grassland or secondary forest. Gaining a better understanding of the interdependence of land use, carbon cycling, and greenhouse gas emissions is critical to the development of climate mitigation policies that can increase carbon sequestration, and reduce greenhouse gas emissions from agroecosystems.

The aim of this Special Issue is to encourage scientists to publish their research at the intersection of land use change/management and climate change.

We are interested in contributions that focus on land use effects on carbon storage and greenhouse gas emissions from soils. This includes empirical research, conceptual/theoretical work, meta-analyses, or reviews that examine key processes affected by land use change/management, including (but not limited to) carbon cycling, greenhouse gas emissions, and/or their interactions.

Dr. Cole D. Gross
Dr. Zhengfeng An
Prof. Dr. Scott X. Chang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Land is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • land use change
  • land use management
  • carbon cycling
  • carbon sequestration
  • greenhouse gas emissions
  • climate change
  • soil health

Published Papers (7 papers)

Download All Papers
Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

20 pages, 6815 KiB  
Article
Tracking Land-use Trajectory and Other Potential Drivers to Uncover the Dynamics of Carbon Stocks of Terrestrial Ecosystem in the Songnen Plain
by Lei Chang, Han Luo, Huijia Liu, Wenxin Xu, Lixin Zhang and Yuefen Li
Land 2024, 13(5), 618; https://doi.org/10.3390/land13050618 - 03 May 2024
Viewed by 170
Abstract
Land-use change is an important factor affecting terrestrial carbon balance, and it is crucial to explore the response of terrestrial carbon stocks to land-use change, especially in the Songnen Plain, which faces a fierce conflict between the rapid growth of production activities and [...] Read more.
Land-use change is an important factor affecting terrestrial carbon balance, and it is crucial to explore the response of terrestrial carbon stocks to land-use change, especially in the Songnen Plain, which faces a fierce conflict between the rapid growth of production activities and ecosystem degradation. In this study, we measured soil organic carbon and vegetation biocarbon stocks in the Songnen Plain based on IPCC-recommended methodologies, and explored the characteristics of carbon stock changes in land-use trajectories, land-use drivers, and specific land-use change scenarios (cropland cultivation, returning cropland to forests, the expansion of land for construction, deforestation, greening, and land degradation). The results showed that soil organic carbon stock in the Songnen Plain decreased by 1.63 × 105 t, and vegetation biocarbon stock increased by 2.10 × 107 t from 2005 to 2020. Human factors and natural factors jointly contributed to the land-use change, but the extent of the role of human factors was greater than that of natural factors. The increase in land-use trajectory led to the decrease in soil organic carbon stock and the increase in vegetation biocarbon stock. There was no difference in the effects of human-induced and natural-induced land-use changes on vegetation biocarbon stocks, but the effects on soil organic carbon stocks were diametrically opposite, increasing by 43.27 t/km2 and decreasing by 182.02 t/km2, respectively. The reclamation of arable land, returning cropland to forests, and greening led to a net increase in terrestrial carbon stocks (+813,291.84 t), whereas land degradation, deforestation, and land-use expansion led to a decrease in terrestrial carbon stocks (−460,710.2 t). The results of this study can provide a reference for the adjustment of land-use structure and the increase in terrestrial carbon stock in the Songnen Plain. Full article
(This article belongs to the Special Issue Land Use Effects on Carbon Storage and Greenhouse Gas Emissions)
►▼ Show Figures

Figure 1

15 pages, 2874 KiB  
Article
Multi-Temporal Change of LULC and Its Impact on Carbon Storage in Jiangsu Coastal, China
by Huanhuan Yuan, Jianliang Zhang, Zhi Wang, Zhedong Qian, Xiaoyue Wang, Wanggu Xu and Haonan Zhang
Land 2023, 12(10), 1943; https://doi.org/10.3390/land12101943 - 20 Oct 2023
Cited by 3 | Viewed by 969
Abstract
Coastal is the coupling of socio-economic and fragile ecosystems area existing development and protection problems, with lots of reserve land resources (i.e., bottomland and tidal flats). Analyzing and predicting the carbon storage changes caused by land use/land cover (LULC) on the Jiangsu coast [...] Read more.
Coastal is the coupling of socio-economic and fragile ecosystems area existing development and protection problems, with lots of reserve land resources (i.e., bottomland and tidal flats). Analyzing and predicting the carbon storage changes caused by land use/land cover (LULC) on the Jiangsu coast were critical for revealing the potential problems of land surface changes and sustainable development. Then, we utilized the single dynamic degree and transfer in/out contribution, exploring the characteristics of LULC change in the study area from 1980 to 2018. Using the InVEST model, PLUS-LEAS model, and PLUS-Markov chain module, we assessed the spatiotemporal of the study area at the county level to reveal the LULC change strategy and driving factor contribution, as well as the composition of LULC and carbon storage in 2036. The results show that the LULC structure in the study area significantly changed from 1980 to 2018, in which the tidal flat and high coverage grassland decreased by 552.84 km2 and 383.71 km2 while the reservoir ponds and urban residential land increased by 1210.69 km2 and 101.70 km2. The major driving factor of LULC change has shifted from a single-factor to multi-factor coupling, and the influence contribution of human activity increased by 6.73%, especially the population. The carbon storage of study areas showed a significant decrease trend during 1980–2010, followed by a slight increase during 2010–2018. High-density carbon storage was mainly distributed in Lianyungang and Nantong and presented a decreasing trend along the coastline extending inland. The dry land and reservoir ponds are the main composition of LULC types in 2036, and the carbon storage increased to 2.39 × 108 t. In addition, more than decades of LULC change will cover part or all of the land use change process and trends, especially high-covered grasslands, so we suggest a 10-year LULC change to analyze coastal areas with lots of tidal flats and bottomlands. Therefore, this study can provide reference and theoretical guidance for ecologically sustainable development and future LULC evolution in coastal cities. Full article
(This article belongs to the Special Issue Land Use Effects on Carbon Storage and Greenhouse Gas Emissions)
►▼ Show Figures

Figure 1

17 pages, 6108 KiB  
Article
Spatial and Temporal Variability Characteristics of Future Carbon Stocks in Anhui Province under Different SSP Scenarios Based on PLUS and InVEST Models
by Shuaijun Yue, Guangxing Ji, Weiqiang Chen, Junchang Huang, Yulong Guo and Mingyue Cheng
Land 2023, 12(9), 1668; https://doi.org/10.3390/land12091668 - 25 Aug 2023
Cited by 3 | Viewed by 1051
Abstract
With the rapid development of the social economy, human activities have had a severe impact on the environment. The global climate issue caused by CO2 emissions has attracted the attention of various countries around the world, and reducing CO2 emissions is [...] Read more.
With the rapid development of the social economy, human activities have had a severe impact on the environment. The global climate issue caused by CO2 emissions has attracted the attention of various countries around the world, and reducing CO2 emissions is urgent. This article simulates the changes in carbon storage in Anhui Province from 2030 to 2070 based on SSP1-2.5, SSP2-4.5, and SSP5-5.8 scenarios. First, based on the land use data of Anhui Province in 2010, the PLUS model was used to simulate the land use data of 2015, and the accuracy of the simulation results was verified against real data. Then, the land use data of Anhui Province were simulated in the future period from 2030 to 2070 under different SSP scenarios. Finally, based on the InVEST model, the spatiotemporal changes in future carbon storage were calculated. The research showed that, during the period of 2030 to 2070, the spatial distribution of carbon storage in Anhui Province under three scenario simulations generally showed a distribution pattern of high carbon storage in the north and south, and low carbon storage in the central region. Under the SSP1-2.6 scenario, Anhui Province’s carbon storage decreased by 0.33 million tons, a decrease of 0.029%. Under the SSP2-4.5 scenario, carbon storage increased by 0.25 million tons, an increase of 0.021%. Under the SSP5-8.5 scenario, carbon storage decreased by 1.54 million tons, a decrease of 0.133%. The reasons for the changes in carbon storage were related to the areas of arable land, forest land, and grassland. This study can provide a reference for future low-carbon land use planning. Full article
(This article belongs to the Special Issue Land Use Effects on Carbon Storage and Greenhouse Gas Emissions)
►▼ Show Figures

Figure 1

14 pages, 5888 KiB  
Article
Analysis of Soil Carbon Stock Dynamics by Machine Learning—Polish Case Study
by Artur Łopatka, Grzegorz Siebielec, Radosław Kaczyński and Tomasz Stuczyński
Land 2023, 12(8), 1587; https://doi.org/10.3390/land12081587 - 11 Aug 2023
Cited by 1 | Viewed by 912
Abstract
A simplified differential equation for the dynamics of soil organic carbon (SOC) that describes the rate of SOC change (dSOC/dt) was constructed using the LASSO regression—a regularized linear regression machine learning method. This method selects the best predefined explanatory variables and empirically evaluates [...] Read more.
A simplified differential equation for the dynamics of soil organic carbon (SOC) that describes the rate of SOC change (dSOC/dt) was constructed using the LASSO regression—a regularized linear regression machine learning method. This method selects the best predefined explanatory variables and empirically evaluates the relevant parameters of the equation. The result, converted into a formula for the long-term equilibrium level of soil carbon, indicates the existence of carbon sequestration potential in the studied regions of Poland. In particular, the model predicts high SOC content in regions with a high Topographic Wetness Index (TWI), such as river valleys or areas with high cattle density, as expected. Full article
(This article belongs to the Special Issue Land Use Effects on Carbon Storage and Greenhouse Gas Emissions)
►▼ Show Figures

Figure 1

16 pages, 3701 KiB  
Article
Biochar and Manure from Cattle Fed Biochar as Agricultural Amendments Alter CH4 Oxidation in a Gray Luvisol
by Tien L. Weber, Guillermo Hernandez-Ramirez, Sylvie Quideau and M. Derek MacKenzie
Land 2023, 12(7), 1353; https://doi.org/10.3390/land12071353 - 06 Jul 2023
Cited by 1 | Viewed by 980
Abstract
Greenhouse gases (GHG) emissions from agricultural practices contribute 14% of anthropogenic emissions to the atmosphere, and novel practices to reduce these emissions, including feeding cattle a modified diet, are of interest. This study examines how additions of manure from cattle fed a regular [...] Read more.
Greenhouse gases (GHG) emissions from agricultural practices contribute 14% of anthropogenic emissions to the atmosphere, and novel practices to reduce these emissions, including feeding cattle a modified diet, are of interest. This study examines how additions of manure from cattle fed a regular diet or a diet supplemented with 2% biochar, and biochar at 5 or 10 Mg ha−1, impact GHG emissions in a Gray Luvisol agricultural field experiment. Emissions of CH4 and N2O were monitored, and soil samples were collected to analyze exchangeable NPKS, microbial biomass, total C and N, electrical conductivity, and pH. Wheat (Triticum aestivum) was planted, and grain yield measured. We calculated the yield-based emission factor (EFyield) and cumulative area-based GHG emissions emission factor (EFarea). The results showed an up to 98.5% change in the inhibition of CH4 oxidation from biochar-manure + biochar at 5 and 10 Mg ha−1 compared to the CT. The biochar in biochar-manure may have acted as a biocide to methanotrophs, causing a reduction in the release of CH4 over time. Yet, there were no significant differences in N2O emissions amongst treatments. Therefore, biochar-manure + biochar at 5 and 10 Mg ha−1 applications may impact total GHG emissions and improve grain productivity and protein content compared to BM alone. Full article
(This article belongs to the Special Issue Land Use Effects on Carbon Storage and Greenhouse Gas Emissions)
►▼ Show Figures

Figure 1

14 pages, 2184 KiB  
Article
Storage and Stability of Soil Organic Carbon in Two Temperate Forests in Northeastern China
by Dongwei Liu, Shanlong Li, Weixing Zhu, Yongyang Wang, Shasha Zhang and Yunting Fang
Land 2023, 12(5), 1019; https://doi.org/10.3390/land12051019 - 06 May 2023
Cited by 1 | Viewed by 2039
Abstract
Forests worldwide store large quantities of carbon (C), particularly in soils as soil organic C (SOC). In northeastern China, two dominant forest types, secondary mixed forest (MF) and larch plantation forest (LF), cover extensive areas. However, we lack an understanding of the patterns [...] Read more.
Forests worldwide store large quantities of carbon (C), particularly in soils as soil organic C (SOC). In northeastern China, two dominant forest types, secondary mixed forest (MF) and larch plantation forest (LF), cover extensive areas. However, we lack an understanding of the patterns and the mechanisms of SOC storage and stabilization in MF and LF, especially in deep soil layers. This research aims to illustrate the vertical distribution and mineral protection of SOC over soil depth; we also used δ13C values of soil fractions to evaluate SOC stability. Samples from the surface litter (Oi), organic layer (Oa+e), and 0–40 cm mineral soils were collected from both MF and LF plots. We used two different methods to separate bulk soils into distinguished fractions: (1) macro- and micro-aggregates and the non-aggregated fraction, and (2) particulate organic matter (POM) and mineral-associated organic matter (MAOM). The C concentrations, C stocks, and δ13C of all soil fractions were determined. Our findings were as follows: (1) SOC was mainly stored in mineral soils and was 13.6% lower in LF (8609 ± 1180 g C m−2) than MF (9969 ± 2084 g C m−2). (2) In both MF and LF, the SOC stock was mainly stored in aggregates (averaged 92.7%); macroaggregates dominated in the surface layers (Oa+e layer and 0–10 cm) but microaggregates dominated in the deep layers (10–20 cm and 20–40 cm). In mineral soils, MAOM was the dominant fraction of the C stock (averaged 81.6%). (3) The proportion of C distributed in microaggregates and MAOM increased from Oa+e to the 20–40 cm layer. (4) The C/N ratios and δ13C values of MAOM were smaller and heavier compared to those of POM. Our study demonstrated that in both forests, aggregate formation and mineral association predominantly contributed to SOC storage, and large stocks of SOC were distributed in the deep soil. The increasing proportion of SOC in microaggregates and MAOM along the soil depth, most likely derived from microbial turnover and microbial necromass, influenced SOC stability in both forest types. Full article
(This article belongs to the Special Issue Land Use Effects on Carbon Storage and Greenhouse Gas Emissions)
►▼ Show Figures

Figure 1

18 pages, 1085 KiB  
Article
The Impact of the Digital Economy on Carbon Emissions from Cultivated Land Use
by Jie Li, Zhengchuan Sun, Jie Zhou, Yaya Sow, Xufeng Cui, Haipeng Chen and Qianling Shen
Land 2023, 12(3), 665; https://doi.org/10.3390/land12030665 - 11 Mar 2023
Cited by 4 | Viewed by 2004
Abstract
Is digitalization conducive to promoting carbon reduction in cultivated land use while empowering high-quality socio-economic development and intelligent territorial spatial planning? Derived from China’s provincial panel data from the period 2011 to 2019, in this paper, we employ a fixed-effect model to study [...] Read more.
Is digitalization conducive to promoting carbon reduction in cultivated land use while empowering high-quality socio-economic development and intelligent territorial spatial planning? Derived from China’s provincial panel data from the period 2011 to 2019, in this paper, we employ a fixed-effect model to study the impact of the digital economy on carbon emissions from cultivated land use and apply an intermediary-effect model to estimate the impact that the structure of the digital economy has on carbon emissions from cultivated land use. The results indicate the following: (1) The expansion of the digital economy can significantly decrease the carbon emissions caused by cultivated land use. This conclusion is still valid after considering endogenous issues and conducting a series of robustness tests. (2) Green technical renovation has played a significant intermediary role in the effect the digital economy has on the amount of carbon emissions from cultivated land use. (3) Digital economy development has significantly promoted innovation in green technology by increasing the size of green invention patent applications and authorizations, thus effectively curbing carbon emissions from cultivated land use and achieving the carbon emission reduction effect of the digital economy. However, some suggestions are put forward, including speeding up the deep integration of digital technology and cultivated land use planning, strengthening the application of green technical renovation achievements in the agricultural field, and enhancing the government’s function in the institutional guarantee of the growth of the digital economy. Full article
(This article belongs to the Special Issue Land Use Effects on Carbon Storage and Greenhouse Gas Emissions)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-7
Back to TopTop