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Article

A Pedological Catenal Characterization along Steeply Sloped and Perhumid Regions: The Case Study of Piedemonte Llanero, Colombia

by
Juan Manuel Trujillo-González
1,*,
Marco Aurelio Torres-Mora
1,
Francisco J. García-Navarro
2 and
Raimundo Jiménez-Ballesta
3
1
Instituto de Ciencias Ambientales de la Orinoquia Colombiana ICAOC, Facultad de Ciencias Básicas e Ingeniería, Campus Barcelona, Universidad de los Llanos, Villavicencio 500001, Colombia
2
Higher Technical School of Agricultural Engineers, University of Castilla-La Mancha, 13007 Ciudad Real, Spain
3
Department of Geology and Geochemistry, Autonomous University of Madrid, 28019 Madrid, Spain
*
Author to whom correspondence should be addressed.
Agriculture 2022, 12(3), 401; https://doi.org/10.3390/agriculture12030401
Submission received: 17 January 2022 / Revised: 6 March 2022 / Accepted: 11 March 2022 / Published: 13 March 2022
(This article belongs to the Section Agricultural Soils)

Abstract

:
Owing to data scarcity, the soil properties of the Colombian “Piedemonte Llanero” are poorly quantified. To provide basic information about how pedogenic properties along a steeply sloped and perhumid landscape are related to its use (which can help lead toward better management and establishment of a sustainable crop production system), this work addresses the characterization of the morphogenetic and chemical features of selected Piedemonte Llanero soils. Research was conducted in a sequence of soils composed of four profiles located in a transect of 200–1800 m of altitude. After macromorphologically identifying, describing, and analyzing soils based on these data, soil weathering and general fertility were interpreted. Ultisols, Inceptisols, Entisols and Oxisols were fundamentally identified according to Soil Taxonomy; that is, Lixisols, Cambisols, Umbrisols, and Ferralsols, according to IUSS Working Group WRB (2015). The dominant effect of humidity attributes in soil formation, with slope and slope gradients, was the major controlling factor for the contrasting soil genesis and properties along the watershed sequence. The acid character, low cation exchange capacity, and degree of saturation stood out, and, including the inherent increase in Al3+ of change, were the most outstanding characters. The data obtained by this study present a substantial basis for good land use planning and will facilitate technology to be transferred from one area to another with a similar environmental picture.

1. Introduction

To date, several research works have been carried out on land management impacts on soil properties, but results vary according to soil type, land use scenario (cropping systems, waste management), and climate in the area [1,2]. Soils of the tropics often have a low inherent fertility due to advanced stage of weathering, leaching of soil nutrients, and also rapid mineralization of organic matter [3].
It has probably not been recognized that site differences in processes can be attributed only to differences in cultivation practices if those sites were identical in soil quality, topography, land-use history, climate, and biota terms before cultivation began [4,5,6].
The conversion of forests into agricultural land is a common practice in Africa, Asia and America [7], and contributes to more than 50% of total deforestation [8]. Fragile ecosystems, land use change, and soil organic carbon (SOC) interaction, are significant for sustaining land productivity [9].
The perhumid intertropical zone constitutes a different extreme morpho-edaphic milieu because bioclimatic weathering mechanisms mostly develop on the earth’s surface [10,11]. Despite notable agricultural development in equatorial or tropical countries, the study of soils has generally fallen behind that of temperate regions, especially as regards to the inclusion of the edaphic profile [12,13]. More recently, such studies have been treated more profusely, albeit generally. So, it is worth mentioning the critical soil genesis studies related to climate, rock, and vegetation by [14,15], which address selected aspects of tropical soils. However, the properties and potential of soils in tropics are poorly understood [16].
Of the greatest challenges of the tropical and subtropical Colombian, more crop production is necessary, as well as caring for and improving environmental quality. For this purpose, knowledge on soil resources and their agricultural potentials is important to define proper and appropriate land use and management. We, thus, investigated the status of soil quality in the Meta area to understand and monitor the impact of soil physico-chemical properties.
Indeed, in some regions of Colombia, soil fertility and soil quality management remain a major agricultural production problem. Hence, knowledge on soil resources and their agricultural potentials is required for proper and sustainable agricultural land use planning and management. The study of land resources in Colombia for agricultural activities has been limited, and is normally performed on large, exploratory and/or reconnaissance scales. Therefore, information on soil resources is required to manage soil fertility. Presently, soil surveys are being conducted in the Piedemonte Llanero of Colombia, in the central–east part of this country.
In rainy tropical regions, such as the Colombian Lowlands foothills, the nutrient loss rate due to leaching is expected. Natural ecosystems can become cultivated fields, in which case increases can be marked. If to this factor the fact that we expect to find acidic soils is added, then studies should focus the effect of this property on acidic soils subjected to crop production.
Therefore, Piedemonte Llanero of Colombia is a paradigmatic example of a steeply sloped and perhumid landscape (more than 6000 mm/year) about which hardly any studies on soils from the morphological point of view, and on their chemical and physico-chemical properties, are available. With these premises, the main objectives of this study are to seek the variance in explored soils related to soil uses in a perhumid climate, and to provide a baseline for future research about edaphic acidifying processes. To do so, we intend to: (i) characterize the macromorphological and physico-chemical properties of the soil profiles along the landscape; (ii) determine how soil properties vary as a result of complex interactions between altitude gradient and land use, in an attempt to identify the factors controlling soil weathering processes and properties in these tropical zone reliefs, characterized by steep environmental gradients; (iii) classify soils following major soil classification schemes.

2. Materials and Methods

2.1. Site Descriptions

Here we focus on distinctive shifting cultivation features in steeply sloping regions, such as Piedemonte Llanero, in Colombia (Figure 1). The present study was carried out in the Piedemonte Llanero of Colombia, located in the central–eastern part of Colombia. The highest elevation was 1800 m above sea level (m.a.s.l.) and the lowest was 200 m.a.s.l. [17]. There are mountain and Piedemonte landscapes in this area with heterogeneous geological features, which is why sandstones and shales are the dominant lithological materials in mountain areas. Clays, conglomerates, and mixed sediments are the dominant materials in Piedemonte areas [18]. This area encompasses an ecological transition zone between montane forests and savannas, supplied by drainage water networks of the mountain range’s eastern slope, that generate sedimentary soils with superior fertility to that of those found in Orinoquía [18]. Geologically speaking, two regions are differentiated in the study area: (a) mountainous, made up of sedimentary rocks from the Cretaceous and Paleogene; (b) plain, made up of recent sediments that cover Precambrian, Paleozoic, Mesozoic, and Paleogene rocks [19,20,21]. The Llanero piedmont is characterized by being an area of active deformation that is expressed by morphotectonic evidence, such as fault scarps, folding in alluvial terraces deposits of Quaternary age, and inversions of the drainage networks by tilting and thick fans. The Meta River is the main fluvial artery in the region, in which large and thick lateral, longitudinal, and transverse bars of fine-grained sand and mud–clay matrices form, with sloping stratification at a very low angle, and gray to brown in color.
The economy of this area is based on livestock and crops, specifically the pastures in the upper, middle, and lower areas of the basin, which cover an approximate area of 78,982.26 ha that corresponds to 84.8% of the total basin area. The distribution is as follows: areas with pasture for livestock comprise 39,977.32 hectares (42.9%), Palm oil systems occupy 22%, with approximately 20,470 ha, transitory rice crops stand out that cover 18,029.6 ha and correspond to 19.3% of the total area, and 0.6% corresponds to areas with production of minor species (poultry, fish, and pig) [17]. The monomodal rainfall pattern involves a wet season from April to November and a dry season from December to March, which is, at the same time, determined by the Intertropical Convergence Zone (ITCZ). Consequently, average annual precipitation is almost 6000 mm/year in the mountain areas and 2500 mm/year in the plain areas of Piedemonte. May and June are the months with the highest rainfall levels. Temperatures vary between 22.5 °C and 28.5 °C (Figure 2). According to the Caldas-Lang classifications, the study area contains the following topics: superhumid temperate, warm superhumid, warm humid, and warm midhumid [18].
Tropical mountain ecosystems make up an important gradient of ecological vegetation, as their structure is similar to tropical lowland forests [22,23] report the importance of these forests, mainly in the face of climate regulation, water flows, and the exchange of fauna species.

2.2. Field Survey and Sampling

The recognition and sampling of soils and their mapping were carried out by an “inductive” method before moving to a “deductive” phase. Specifically, the study area was subdivided into the two major physiographic environments: plain and mountain. Subsequently, units were established based on the nature of the original materials, slope, erosion, landform, and land use.
Soil morphological properties were established in situ. Genetic horizons and checkpoints were established. The first profile is located at an altitude of 204 m and the highest at an altitude of 856 m. Samples were taken from each identified horizon.

2.3. Analytical Procedure

When soil samples arrived at the laboratory, they were air-dried and subsequently sieved (<2 mm) to exclude litter, roots, and coarse particles to analyze all the soil properties. For the organic matter determinations, the samples were passed through a 0.5 mm sieve. The selected soil properties were determined by the following methods: particle size distribution was established by the hydrometer method [24]; soil pH was measured at a soil: distilled water ratio of 1:2.5; electrical conductivity (EC) was measured with a conductivity meter at a soil: water ratio of 1:2.5 [25]; organic matter was analyzed by the wet digestion method [26]; phosphorus (P) was determined by the Olsen method [27].
Exchangeable aluminum (AlKCl) was extracted with a soil: potassium chloride (1.0 M KCl) ratio of 1:10 and analyzed by ICP spectrometry. To calculate Al saturation (Alsat), first, the Al extraction methodology proposed by [28] was employed to ascertain the effective cation exchange capacity (ECEC). For each sample, 2 g of the soil sample was placed inside a disposable 60 mL vessel. Next, 20 mL of 1.0 M KCl was added to each vessel. Vessels were then oscillated on a reciprocal shaker for 30 min. Using Whatman # 1 filter paper, extracts from samples were percolated in a 103 mL plastic cup. Finally, the total Al extracted with 1 M KCl was measured by ICP. Following the protocols described by [28], the following equation was used to calculate the ECEC of each ICP-analyzed soil extract: ECEC (cmol/kg) = [Na] + [K] + [Ca] + [Mg] + [AlKCl]. All samples were analysed in duplicate.
Regarding metal oxides, determination it is obtained in this way: sub-boiling, double-distilled HNO3 was added at 50% v/v to all samples and analytical targets, and the final determination was performed using an inductively coupled optical emission plasma spectrometer, Optima 2100DV (Perkin-Elmer), ICP-OES. For quality assurance and quality control (QA/QC), the accepted recoveries ranged from 70% and 130%. The analytical method presents the evaluation of blanks (n = 20) and duplicated samples (n = 25) for each group. The relative deviation of the duplicated samples was <15% for all batch treatments.

2.4. Soil Index

Some soil properties are used to calculate soil fertility parameters, such as: sum of base cations (S); Soil Aggregate Stability Index (ISS); Forestier Index (IF); Soil Sealing Index (IB); Kamprath Index (m). S is obtained by summing the exchangeable cations, which were: Ca, Mg, K, and Na.
For computing soil fertility, several parametric indices were proposed and used. They included the so-called Soil Aggregate Stability Index (ISS) [29], which relates soil resistance to external disruption forces, and was assessed with the Pieri’s formula in Equation (1) [29] below:
ISS = 1.724 ×   OC ( L + A ) × 100
where OC is soil organic carbon; L is the silt fraction; A is the clay fraction.
The IB related to the soil erosion and compaction risks was estimated by Remy’s formula in Equation (2) [30]:
IB = ( 1.5 ×   Lf ) + ( 0.75 ×   Lg ) ( A 10 ×   OM )   C  
where C equals 0.2 × (pH 7); Lf is fine silt; Lg is coarse silt; A is clay; OM is soil organic matter content.
The IF was assessed using the following formula in Equation (3) [31]:
IF = S 2 ( A + Lf )
where S is the sum of base cations; A is the clay fraction; Lf is fine silt fractions.
Finally, it is worth mentioning aluminum toxicity (Al) as defined by the Kamprath Index (m), Equation (4) [32], to determine the degrees of toxicity of exchangeable aluminum. Calculations for Alsat were done with the following equation:
Al = ( Al 3 + × 100 S + Al 3 + ) .
where Al3+ is exchangeable aluminum in cmol/kg of soil; S is the sum of exchangeable base cation in cmol/kg of soil. Table 1 shows the values and categories to interpret these indices: ISS, IF, IB, and m.
In addition to the other soil fertility paremeters, the sum of exchangeable bases (S) and efective cation exchange capacity (ECEC) were grouped into classes to better represent these results. When S < 2 (cmol/kg), it indicates very low values; 2 < S (cmol/kg) < 5 denotes low values; 5 < S (cmol/kg) > 10 implies average values; 10 < S (cmol/kg) < 15 indicates high values; S > 15 (cmol/kg) denotes very high values [33]. When ECEC < 5 (cmol/kg), it implies very low values; 5 < ECEC (cmol/kg) < 10 indicates low values; 10 < ECEC (cmol/kg) < 25 suggests average values; 25 < ECEC (cmol/kg) <40 represents high values; ECEC > 40 (cmol/kg) indicates very high values [33].

3. Results and Discussion

3.1. Soil Characteristics

The macromophological characteristics of the four selected soil profiles appear in Table 2. The photos in Figure 3 are images of them.
Table 2 shows the main soil types and their macromorphological properties, while Table 3 provides the analytical results. Pedon 1 was characterized by the initial stage of subsoil horizon differentiation, as evidenced by changes in color and structure. This soil has started to form as indicated by the modest development of structure, color, consistency, etc. It is a Bw horizon with a redder hue, moderately developed soil structure, and friable consistency. The horizon thickness met the cambic diagnostic horizon requirements. Therefore, they are younger than Ultisols and Oxisols. Then, there is Ochric epipedon and Cambic horizon as the diagnostic horizons, classified, therefore, as Inceptisol by USDA Soil Taxonomy [34], or Cambisol (IUSS Working Group WRB 2015) [35].
Pedon 2 has an Ochric epipedon and a relatively deep Oxic horizon (ferralic B) as the diagnostic horizons, classified, hence, as an Oxisol or Ferralsol according to the USDA Soil Taxonomy and the IUSS Working Group WRB (2015) classification, respectively. Oxic horizons characterize highly weathered soils.
Pedon 3 had Ochric epipedons and Cambic horizons as diagnostic horizons. The profile shows some Oxic horizon characteristics (highly weathered soils, but not genetically as old as Oxisols). Soil was classified as Inceptisol or Cambisol according to the USDA Soil Taxonomy and the the IUSS Working Group WRB (2015), respectively.
Pedon 4 (at a higher altitude) had fairly young soils with no diagnostic horizons other than an Ochric epipedon and were, hence, classified as Entisols (USDA Soil Taxonomy). As Pedons showed lithic contact, they were classified as Entisol (Soil Taxonomy) and Leptic Regosols (IUSS Working Group WRB (2015). Some Pedons had fluvic material, as affirmed by stratification and irregular decreasing OC contents with depth, but with no diagnostic horizons other than an Ochric epipedon [34,35].
Regarding their color, soils (dry, humid) were found in a dark, reddish brown (5YR3/4) to a yellowish, red-color (7.5YR 5/6) environment (Table 2, Figure 3) due to the oxidation of iron oxides, responsible for the dark reddish brown color. Certain color and chroma nuances indicated the presence of soil moisture, and mottling was detected in the subsoil layers of certain pedons, which confirms poor drainage conditions. A moderate-to-high degree of structuring was observed on the surface horizons, which gives way to massive subsurface horizons. Some structural deterioration attributed to prolonged agricultural use was observed.
The granulometric analyses indicated that the soils are of sandy–clay–loamy, sandy–loam, and sandy texture (according to Soil Taxonomy). The electrical conductivity (EC) of the soils in all the pedons was well below unity and CaCO3 was not detected on soil horizons. The obtained results about soil reaction (pH) generally showed acidic or very acidic values (Table 3). The acidic nature of soil through the transect was due to either considerable rainfall, which causes base cations to leach from soil colloids, or slow organic matter decomposition, with low-molecular acids being continuously released, which might be another reason for these soils’ acidic nature. Soil pH (a measure of the concentration of protons in soil solution) is a very important parameter that directly influences the chemical reactions in soil and the availability of nutrients for plants [3]. Soil pH is closely related to the sum of the bases present in soil. So, the more acidic soil is, the fewer bases it contains. Soil pH reflects the saturation state in the bases of the absorbing complex [15]. The summation of processes results in soil cation exchange sites being dominated by Al3+. As a result, base cations on the soil surface are replaced with Al3+. Intrinsic variations between edaphic environments can markedly affect the amount of exchangeable Al that is present [36].
Kochian et al. [37], stated that approximately 50% of the world’s suitable farmland is deemed acidic, for which a critical pH for most plant species grown in an acidic edaphic environment is <5.5. According to Påhlsson [38], for many crops, the onset of toxicity symptoms means that Al3+ must be present at concentrations of around 2–3 mg kg−1.
For organic matter content, an apparent change was observed in the transit from the soils in the low topography to those of high topographies. This is attributed to the fact that lower parts are subjected to cultivation, while original plant covers still remain in higher parts. Organic matter content showed a limited difference between soil types, but an increase was observed that could be due to the altitude effect or to more pronounced human activities at lower altitudes. Perhaps it could also be explained by the double protection found between the latter and free aluminum. Upper layers are characterized by moderate humus accumulation.
The results showed that the ECC were very low <5 cmol/kg (Table 3). The sum of base cations was also very low, as was the base saturation. Lower base saturation (BS) values could be due to the depletion of base cations by intense rain. It can be interpreted that BS indicates the degree of leaching of base cations, and that, therefore, this meant that the studied pedons were weakly leached soils (60–80%) according to the ratings set by Hazelton, P.; Murphy [39]. The variation observed in ECEC, base cations and sum of bases BS in the studied districts could be attributed to a combination of intrinsic (weathering, erosion, deposition, and soil-forming processes) or local extrinsic (anthropogenic practices) factors.
Phosphorus is an important primary nutrient required by plants in large quantities. In tropical soils, phosphorus adsorption is a major process that controls its availability to crops. The results obtained (Table 3) show that there are low contents. Fertilization practices such as the addition of organic manure, crop residues, rock phosphate, water-soluble P fertilizers, and incorporation of a phosphorus solubilizing organism are highly recommended to increase P solubility and availability in highly weathered soil. According to Wang [40] and Guedes [41], adding organic matter to tropical soils can be an efficient strategy to optimize P fertilization by reducing P sorption, and enhancing sorbed P reversibility in soils. P adsorption is likely to increase in tropical soil with a low pH and prevalence of kaolinite and Fe and Al oxides in the clay fraction [42].
The studied soils are subject to leaching and showed low organic matter content. Therefore, it is not strange that they present low contents in total sulfur (Table 3); The highest value is 12.57 (mg/kg). Olson [43] provided the following average topsoil values for total sulfur (in the temperate region): 500 mg/kg for Mollisols, 400 mg/kg for Alfisols, and 200 mg/kg for Ultisols. Following this reasoning, they assumed that most tropical soils would average about 100 mg/kg. Abounding in this matter, clayey Oxisol under native savanna contained 251 mg/kg S and sandy Ultisol only 40 mg/kg S, the latter of the two from Brazil [44].

3.2. Application of the Soil Index

An analysis of each soil type’s fertility showed these soils’ poor fertility statuses, which is related to the physico-chemical parameters (Table 4). The soils with a lower ECEC had a marked deficit nutrient reserve. This limited nutrient reserve and the low CEC are associated with low levels of organic matter of OM in these soils, and, fundamentally, with extremely high rainfall, which is one of the highest in the world (>6000 mm/year). The ISS showed a slight difference between soil types, although most were prone to degradation. From Table 4, ISS ≤ 5% indicates structurally degraded soil in profiles one, two, and four. Only profile three had a high degradation risk value.
Since the percentage of coarse silt is negligible, in the calculation of the IF parameter, the value of the percentage of total silt has been introduced. In all cases, the IF values were <1.5, which denotes soils with low nutrient reserves. Similarly, Al always obtained values over 50%, which means that all the soils had very high Al.
The balance between the saturation rate and acidity highlights the impact of pH on the evolution of exchangeable aluminium and bases in soils. By way of conclusion, it can be stated that most soils can be included as poor fertility soils detrimental to crop production. Therefore, it is essential to encourage farmers to practice fallow systems after cultivation to maintain soil fertility and to alternate culture types, and to especially promulgate new soil nutrient supply mechanisms from inputs (composts, chemical fertilizers, and mineral fertilizers).
The large amount of rainwater that falls on the landform’s surface in this perhumid region (more than 6000 mm/year in some places) determines deterioration rates. Therefore, water largely dominates weathering, favoring formation of deeply weathered profiles, [45,46] especially if, as is the case, temperature influences dominant types and weathering rates. Topography, altitude, rainfall, and temperature come over as the main factors responsible for soil spatial variation.
On chemical weathering indices, we should remember that climate is a major influence on the weathering processes that affect soil parent materials. Therefore, a climate that is as pluviometrically exacerbated as that on the foothills of Colombian plains should have a clear influence. According to Duzgoren-Aydın et al., Price and Velbel, and Dengiz et al. [47,48,49], chemical weathering indices estimate soil chemical weathering intensity by comparing changes in major and trace metal concentrations as mobile-to-immobile elements ratios in soil and rock or parent material. Although the pedological evaluation of the four soil profiles initially indicates pronounced weathering, the truth is that the applied indices (Chemical Index of Alteration, CIA; Chemical Index of Weathering, CIW; Plagioclase Index of Alteration, PIA) reveal progressive weathering.
(a) Chemical Index of Alteration, CIA 44 (Nesbitt and Young [50])
CIA = [ Al 2 O 3 Al 2 O 3 + CaO +   Na 2 O +   K 2 O ] 100
The CIA can vary from around 35–55 (for unweathered rocks) to 100 (highly weathered). Nesbitt and Young [50] classified the CIA values as very slightly weathered (50 to 60), slightly weathered (60 to 70), moderately weathered (70 to 80), highly weathered (80 to 90), and extremely weathered (90 to 100).
(b) Chemical Index of Weathering, CIW (Harnois) [51]:
CIW = [ Al 2 O 3 Al 2 O 3 + CaO +   Na 2 O ] 100
This index modifies CIA by excluding K2O from assessments and
(c) Plagioclase Index of Alteration, PIA [52].
PIA = [ Al 2 O 3   K 2 O Al 2 O 3 + CaO +   Na 2 O   K 2 O ] 100  
This index was proposed by Fedo et al. [52], as an alternative to the CIW.
Thus, soil formation in this region is a dynamic rather than a static process. Based on the literature [53,54], rocks from the upper crust and unweathered igneous rocks generally have CIA values of about 50, whereas the soils and sediments that derive from intensely weathered rocks and contain residual clay minerals have CIA values that approach 100. This is the case of the four studied soil profiles (Table 5), where the CIA values varied from 94.0 to 98.8. The CIW, PIA, and CIA display similar behavior, which means that the weathering process is very intense and is due to the heavy rainfall in this place.
Finally, the SOC/clay ratio thresholds of [55] were calculated for each soil profile. The SOC/clay index is a simple measure to evaluate the SOC status, and it allows the soils to be evaluated on a scale from degraded-to-good soil conditions.
The literature contains physical soil properties (bulk density, water retention characteristics, and clay dispersibility), which can be better explained by the amounts of SOC and clay content in relation to one another than by their total contents [56,57].
SOC/clay ratio thresholds of 1/8 = 0.125, 1/10 = 0.1 and 1/13 = 0.076, respectively, indicated that boundaries between them had “very good”, “good”, “moderate” and “degraded” levels of structural condition. The obtained values were 0.045, 0.038, 0.065, and 0.037 of the surface horizons of profiles one, two, three, and four, respectively, and were 0.027, 0.008, 0.04 and 0.118 for the subsurface horizons of profiles one, two, three, and four, respectively. On the above-cited scale, all these values (except the subsurface horizon of profile four, located at a higher altitude) clearly fell short of 1/13 and were, therefore, degraded, which means that their SOC contents are unable to protect SOC by interacting with clay particles.

4. Conclusions

This paper is the first to provide chemical and morphological properties of the soils in the perhumid Piedemonte Llanero region of Colombia, and to demonstrate the dominant effect of humidity attributes on soil formation. The following conclusions can be drawn from the study results. Differences in slope gradient and land management across the landscape influence the characteristics of the soils at the studied site. Slope and slope gradient also contribute to verify soil genesis and properties along the sequence in the watershed. These results revealed a significant effect of slope positions, mainly on thickness of the soil profile and solum, clay, and organic carbon, which lead to change of type, depth, and sequence of soil horizons along the altitudinal transect. The four studied Pedons across the landscape are variable in terms of their profile depth, horizon features, and some physico-chemical properties. Soils are slightly acidic to acidic, with low-to-very-poor cation exchange capacity, and base cations that could have implications for nutrient uptake and, consequently, nutrient imbalances. Some soils are weathered with profiles showing advanced weathering stages (Oxic character as a diganostic feature). Finally, the study results indicate that the soils from Piedemonte Llanero area are classifed as Ultisols, Oxisols, Inceptisols, and Entisols (Soil Taxonomy); that is, Cambisols, Lixisols, Ferralsols and Umbrisols (IUSS Working Group WRB). From the obtained data, the adoption and promotion of the best management options may be required for different land uses and erosion control, with the aim to increase SOC stocks and overall soil quality.

Author Contributions

J.M.T.-G. and R.J.-B. conceived and designed this study; J.M.T.-G. and M.A.T.-M. participated in the collection of soil samples; software, J.M.T.-G.; formal analysis, J.M.T.-G. and M.A.T.-M.; writing—original draft preparation R.J.-B. and J.M.T.-G.; writing—review and editing all authors. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Fondo Social de Educación Superior del Gobierno del Meta (FSES-Gobernación del Meta), grant number-2015).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

Not applicable.

Acknowledgments

The authors are grateful to the Fondo Social de Educación Superior del Gobierno del Meta (FSES-Gobernación del Meta), and to the Instituto de Ciencias Ambientales de la Orinoquía Colombiana (ICAOC) of the Universidad de los Llanos.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Wakene, N.; Heluf, G. Influence of land management on morphological, physical and chemical properties of some soils of Bako, Western Ethiopia. Agropedology 2003, 13, 1–9. [Google Scholar]
  2. Fantaw, Y.; Yimer, A. The effect of crop land fall owing on soil nutrient restoration in the Bale Mountain. Sci. Dev. J. 2011, 1, 43–51. [Google Scholar]
  3. Sanchez, P.A. Properties and Management of Soils in the Tropics. Soil Sci. 1977, 124, 187. [Google Scholar] [CrossRef]
  4. Cairns, M.; Garrity, D.P. Improving shifting cultivation in Southeast Asia by building on indigenous fallow management strategies. Agrofor. Syst. 1999, 47, 37–48. [Google Scholar] [CrossRef]
  5. Foote, R.L.; Grogan, P. Soil carbon accumulation during temperate forest succession on abandoned low productivity agricultural lands. Ecosystems 2010, 13, 795–812. [Google Scholar] [CrossRef]
  6. Knops, J.M.H.; Tilman, D. Dynamics of soil nitrogen and carbon accumulation for 61 years after agricultural abandonment. Ecology 2000, 81, 88–98. [Google Scholar] [CrossRef]
  7. Garrett, R.D.; Koh, I.; Lambin, E.F.; le Polain de Waroux, Y.; Kastens, J.H.; Brown, J.C. Intensification in agriculture-forest frontiers: Land use responses to development and conservation policies in Brazil. Glob. Environ. Chang. 2018, 53, 233–243. [Google Scholar] [CrossRef]
  8. Grogan, P.; Lalnunmawia, F.; Tripathi, S.K. Shifting cultivation in steeply sloped regions: A review of management options and research priorities for Mizoram state, Northeast India. Agrofor. Syst. 2012, 84, 163–177. [Google Scholar] [CrossRef]
  9. Choudhury, B.U.; Fiyaz, A.R.; Mohapatra, K.P.; Ngachan, S. Impact of Land Uses, Agrophysical Variables and Altitudinal Gradient on Soil Organic Carbon Concentration of North-Eastern Himalayan Region of India. Land Degrad. Dev. 2014, 27, 1163–1174. [Google Scholar] [CrossRef]
  10. Tricart, J. Les caractéristiques fondamentales du système morpho-génétique des pays tropicaux humides. L’inf. Géogr. 1961, 25, 155–169. [Google Scholar] [CrossRef]
  11. Harcombe, P.A. Soil Nutrient Loss as a Factor in Early Tropical Secondary Succession. Biotropica 1980, 12, 8–15. [Google Scholar] [CrossRef]
  12. Buringh, P. Introduction to the Study of Soils in Tropical and Subtropical Regions, 3rd ed.; Centre for Agricultural Publishing and Documentation: Wageningen, The Netherlands, 1979; p. 148. [Google Scholar]
  13. Mahecha-Pulido, J.D.; Trujillo-González, J.M.; Torres-Mora, M.A. Análisis de estudios en metales pesados en zonas agrícolas de Colombia. Orinoquia 2017, 21, 83–93. [Google Scholar] [CrossRef]
  14. Muir, A. The Soils of Equatorial Regions. Nature 1945, 156, 93–95. [Google Scholar] [CrossRef]
  15. Mohr, E.C.J.; Van Baren, F.A.; Van Sehuylenborgh, J. Tropical soils. Soil Sci. 1975, 119, 472. [Google Scholar] [CrossRef]
  16. Sanchez, P.A.; Buol, S.W. Soils of the Tropics and the World Food Crisis. Science 1975, 188, 598–603. [Google Scholar] [CrossRef]
  17. CORMACARENA. Plan de Ordenación y Manejo de la Cuenca del río Acacias–Pajure; Villavicencio, Documento técnico; Corporación para el Desarrollo Sostenible del Área de Manejo Especial La Macarena, 2012; 160p. Available online: https://www.cormacarena.gov.co/gestion-de-planificacion/pomcas/ (accessed on 15 December 2021).
  18. IGAC. Estudio General de Suelos y Zonificación de Tierras de Meta. Estudio General; Instituto Geográfico Agustín Codazzi: Bogotá, Colombia, 2004.
  19. Alvarado, S. Cartografía Geológica de la Zona Centro y Sur del Departamento del Meta Planchas 217, 286, 287, 288, 289, 290, 307, 308 y 309 a Escala 1:100.000; INGEOMINAS: Bogotá, Colombia, 2009. Available online: https://catalogo.sgc.gov.co/cgi-bin/koha/opac-detail.pl?biblionumber=48919 (accessed on 3 March 2021).
  20. Gómez, J. Mapa Geológico de Colombia; INGEOMINAS: Bogotá, Colombia, 2007.
  21. López, E. Aspectos más Relevantes de la Geomorfología y Geología del Piedemonte Llanero de Colombia; INGEOMINAS: Bogotá, Colombia, 2004.
  22. Cuatrecasas, J. Aspectos de la vegetación natural de Colombia. Perez-Arbelaezia 1989, 2, 155–283. [Google Scholar]
  23. Cuesta, F.; Peralvo, M.; Valarezo, N. Programa Regional ECOBONA-Intercooperation. Los bosques montanos de los Andes Tropicales; ECOBONA: Quito, Ecuador.
  24. Bouyoucos, G. Hydrometer method improvement for making particle size analysis of soils. Agron. J. 1962, 54, 179–181. [Google Scholar] [CrossRef]
  25. van Reeuwijk, L. Procedures for Soil Analysis, 6th ed.; FAO: Rome, Italy, 2002. [Google Scholar]
  26. Walkley, A.; Black, C. An examination of the Degtjareff method for determining soil organic matter and modifying the chromic acid method. Soil Sci. 1934, 37, 29–33. [Google Scholar] [CrossRef]
  27. Olsen, S.; Cole, C.; Watanabe, F.; Dean, L. Estimation of Available Phosphorus in Soils by Extraction with Sodium Bicarbonate. USDA Circular 93; U.S. Govt. Printing: Washington, DC, USA, 1954; pp. 1–19.
  28. Sumner, M.E.; Miller, W.P. Cation exchange capacity and exchange coefficients. In Methods of Soil Analysis. Part 3. Chemical Methods; Bingham, J.M., Ed.; ASA-SSSA: Madison, WI, USA, 1996. [Google Scholar]
  29. Pieri, C.J. Fertility of Soils: A Future for Farming in the West African Savannah; Springer Science & Business Media: Berlin/Heidelberg, Germany, 2012; Volume 10. [Google Scholar]
  30. Remy, J.C. Marin-Laflèche. L’analyse de terre: Réalisation d’un program d’interpretation automatique. Ann. Agron. 1974, 25, 607–632. [Google Scholar]
  31. Forestier, J. Fertilite des sols des cafeieres en RCA. Agron. Trop. 1960, XIV, 306–348. [Google Scholar]
  32. Kamprath, E.J. Exchangeable aluminium as a criterion for limiting leached mineral soils. Soils Soc. Am. Proc. 1970, 24, 252–254. [Google Scholar] [CrossRef]
  33. Beernaert, F.; Bitondo, D. Simple and practical methods to evaluate analytical data of soil profiles. Maputo Mozamb. 1990, 25, 145–150. [Google Scholar]
  34. Soil Survey Staff Keys to Soil Taxonomy, 12th ed.; United States Govt Printing Office: Washington, DC, USA, 2014; pp. 161–323.
  35. IUSS Working Group WRB. World Reference Base for Soil Resources 2014, Update 2015. International Soil Classification System for Naming Soils and Creating Legends for Soil Maps. World Soil Resources Reports No. 106. FAO, 2015, Rome. Available online: http://www.fao.org/3/i3794en/I3794en.pdf (accessed on 4 March 2022).
  36. Sutradhar, A.; Lollato, R.; Butchee, K.; Arnall, D.B. Determining Critical Soil pH for Sunflower Production. Int. J. Agron. 2014, 2014, 1–13. [Google Scholar] [CrossRef] [Green Version]
  37. Kochian, L.V.; Piñeros, M.A.; Hoekenga, O.A. The Physiology, Genetics and Molecular Biology of Plant Aluminum Resistance and Toxicity. Plant Soil 2005, 274, 175–195. [Google Scholar] [CrossRef]
  38. Påhlsson, A.M.B. Influence of aluminium on biomass, nutrients, soluble carbohydrates and phenols in beech (Fagus sylvatica). Physiol. Plant. 1990, 78, 79–84. [Google Scholar] [CrossRef]
  39. Hazelton, P.; Murphy, B. Interpreting Soil Test Results: What Do All the Numbers Mean? CSIRO: 2016. Available online: http://www.agrifs.ir/sites/default/files/Interpreting%20Soil%20Test%20Results,%20What%20Do%20All%20The%20Numbers%20Mean%20%7BPam%20Hazelton%7D%20%5B9780643092259%5D%20(CSIRO%20Publishing%20-%202007).pdf (accessed on 4 March 2022).
  40. Wang, Q.; Li, Y. Phosphorus adsorption and desorption behavior on sediments of different origins. J. Soils Sediments 2010, 10, 1159–1173. [Google Scholar] [CrossRef]
  41. Guedes, R.S.; Melo, L.; Vergutz, L.; Rodríguez-Vila, A.; Covelo, E.F.; Fernandes, A.R. Adsorption and desorption kinetics and phosphorus hysteresis in highly weathered soil by stirred flow chamber experiments. Soil Tillage Res. 2016, 162, 46–54. [Google Scholar] [CrossRef]
  42. Fink, J.R.; Inda, A.V.; Bayer, C. Mineralogy and phosphorus adsorption in soils of south and central-west Brazil under conventional and no-tillage systems. Acta Scientiarum. Agron. 2014, 36, 379. [Google Scholar] [CrossRef] [Green Version]
  43. Olson, R.A.; Englestad, O.P. Soil Phosphorus and Sulfur. Soils of the Humid Tropics; National Academy of Sciences: Washington, DC, USA, 1972; pp. 82–101. [Google Scholar]
  44. McClung, A.C.; de Freitas, L.M.M.; Lott, W.L. Analysis of several Brazilian soils in relation to plant responses to sulfur. Soil Sci. Soc. Am. Proc. 1959, 23, 221–224. [Google Scholar] [CrossRef]
  45. Nahon, D. Weathering in tropical zone. Significance through ancient and still active mechanisms. Comptes Rendus Géosci. 2003, 335, 1109–1119. [Google Scholar] [CrossRef]
  46. Tardy, Y. Pétrologie des latérites et des sols tropicaux. Masson 1993, 459. Available online: https://www.documentation.ird.fr/hor/fdi:38818 (accessed on 10 March 2022).
  47. Duzgoren-Aydin, N.; Aydin, A.; Malpas, J. Re-assessment of chemical weathering indices: Case study on pyroclastic rocks of Hong Kong. Eng. Geol. 2002, 63, 99–119. [Google Scholar] [CrossRef]
  48. Price, J.R.; Velbel, M.A. Chemical weathering indices applied to weathering profiles developed on heterogeneous felsic metamorphic parent rocks. Chem. Geol. 2003, 202, 397–416. [Google Scholar] [CrossRef]
  49. Dengiz, O.; Sağlam, M.; Özaytekin, H.H.; Baskan, O. Weathering rates and some physico-chemical characteristics of soils developed on a calcic toposequences. Carpathian J. Earth Environ. Sci. 2013, 8, 13–24. [Google Scholar]
  50. Nesbitt, Y.W.; Young, G.M. Early Proterozoic climates and plate motions inferred from major element chemistry of lutites. Nature 1982, 299, 715–717. [Google Scholar] [CrossRef]
  51. Harnois, L. The CIW index: A new chemical index of weathering. Sediment. Geol. 1988, 55, 319–322. [Google Scholar] [CrossRef]
  52. Fedo, C.M.; Nesbitt, H.W.; Young, G.M. Unraveling the effects of potassium metasomatism in sedimentary rocks and paleosols with implications for paleoweathering conditions and provenance. Geology 1995, 23, 921–924. [Google Scholar] [CrossRef]
  53. Ao, H.; Deng, C.; Dekkers, M.J.; Sun, Y.; Liu, Q.; Zhu, R. Pleistocene environmental evoluation in the Nihewan Basin and implication for early human colonization of North China. Quat. Int. 2010, 223, 472–478. [Google Scholar] [CrossRef]
  54. Johannes, A.; Matter, A.; Schulin, R.; Weisskopf, P.; Baveye, P.; Boivin, P. Corrigendum to “Optimal organic carbon values for soil structure quality of arable soils. Does clay content matter?”. Geoderma 2017, 302, 111. [Google Scholar] [CrossRef]
  55. Wei, J.; Fan, W.; Yu, Y.; Mao, X. Polarimetric Decomposition Parameters for Artificial Forest Canopy Biomass Estimation Using GF-3 Fully Polarimetric SAR Data. Sci. Silvae Sin. 2020, 56, 174–183. (In Chinese) [Google Scholar] [CrossRef]
  56. Schjønning, P.; de Jonge, L.; Munkholm, L.; Moldrup, P.; Christensen, B.; Olesen, J. Clay Dispersibility and Soil Friability-Testing the Soil Clay-to-Carbon Saturation Concept. Vadose Zone J. 2012, 11. [Google Scholar] [CrossRef]
  57. Jensen, J.L.; Schjønning, P.; Watts, C.; Christensen, B.T.; Peltre, C.; Munkholm, L.J. Relating soil C and organic matter fractions to soil structural stability. Geoderma 2018, 337, 834–843. [Google Scholar] [CrossRef]
Figure 1. Study area. Note the dense vegetation layer (transition between the vegetation of the mountain and plain, or Piedemonte), and the strong escarpment, transverse to the N-S line, which acts as a screen against clouds. JMTG owns image.
Figure 1. Study area. Note the dense vegetation layer (transition between the vegetation of the mountain and plain, or Piedemonte), and the strong escarpment, transverse to the N-S line, which acts as a screen against clouds. JMTG owns image.
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Figure 2. Climadiagram of the Acacias River Basin in the Piedemonte Llanero of Colombia.
Figure 2. Climadiagram of the Acacias River Basin in the Piedemonte Llanero of Colombia.
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Figure 3. Detailed photographs of the analyzed soil profiles in Piedmonte Llanero of Colombia.
Figure 3. Detailed photographs of the analyzed soil profiles in Piedmonte Llanero of Colombia.
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Table 1. Interpretation of soil categories according to the Soil Aggregate Stability Index (ISS), the Forestier Index (IF), the Soil Sealing Index (IB), and the Kamprath Index (m).
Table 1. Interpretation of soil categories according to the Soil Aggregate Stability Index (ISS), the Forestier Index (IF), the Soil Sealing Index (IB), and the Kamprath Index (m).
Soil Aggregate Stability Index (ISS)Soil Sealing Index (IB)
ValueCategoryValueCategory
ISS > 9%Stable structure IB < 1.4Soils with no thrust risk and with no erosion risk
7% < ISS ≤ 9 Low structural degradation risk 1.4 < IB ≤ 1.6Soils with a low erosion risk
5% < ISS ≤ 7%High degradation risk 1.6 < IB ≤ 1.8Soils with a medium erosion riskf
ISS ≤ 5% Structurally degraded soil IB ≥ 1.8Soils with high erosion risk
Forestier Index (IF)Kamprath Index (m)
ValueCategoryValueCategory
IF < 1.5Soils with low nutrient reservesm < 20%Soils with aluminium toxicity
IF > 1.5Soils with good nutrient reserves.20 < m (%) < 50 Soils with high aluminium toxicity
m > 50%Soils with very high aluminium toxicity
Table 2. Essential macromorphological and diagnostic features of the studied soil profiles.
Table 2. Essential macromorphological and diagnostic features of the studied soil profiles.
ProfileAltitude (m.a.s.l.)CoordinatesSoil UseParent Material/
Relief
Soil Type
(Soil Taxonmy)
MorphologyColor
12043°52′47.2″ N 73°08′13.0″ WPalm oil cultivationAlluvial sediments
/Flat
Oxic DystrudeptsAp (0–25 cm)
Bw (25–56 cm)
C (56–100 cm)
5YR3/2 5YR5/3
23693°54′51.5″ N 73°36′06.3″ WBanana cultivationSandstone/
Flat
Typic HapludoxAp (0–21 cm)
Bw (21–54 cm)
C (54–80 cm)
5YR3/2 5YR5/6
33963°56′39.1″ N 73°47′08.6″ WPasturesSandstone/Somewhat steep (>30%)Oxic DystrudeptsAh (0–13 cm)
Bw (13–43 cm)
C (43–100 cm)
5YR4/4 7,5YR7/4
48563°57′0.8″ N 73°49′42.3″ WPasturesSandstone/Steep
(>30%)
Typic Udorthent A (0–25 cm)
C (25–75 cm)
5YR3/2 5YR7/4
Table 3. Main soil chemical, physical, and physico-chemical properties in the Piedemonte Llanero of Colombia.
Table 3. Main soil chemical, physical, and physico-chemical properties in the Piedemonte Llanero of Colombia.
Altitude (m)204369396856
Profile 1 Oxic DystrudeptsProfile 2 Typic HapludoxProfile 3 Oxic DystrudeptsProfile 4 Typic Udorthent
ApABwApBwAhABwAhC
Depth (cm)0–2525–560–2121–540–1313–460–2424–100
Sand (%)31.9629.8356.2838.0270.4354.1151.5790.74
Fine silt (%)42.0337.5120.1135.3512.5219.6717.456.39
Coarse silt (%)1.001.000.502.000.001.001.000.00
Clay (%)25.0131.6623.1124.6317.0525.2229.982.87
TextureLoamSandy loamSandy-Clay-Loam Sandy-Clay-
Loam
Sandy-LoamSandy-Clay-
Loam
Sandy-Clay-LoamSandy
Organic Matter (%)1.971.481.550.21.931.902.240.55
Soil Organic Carbon (%)1.140.860.900.21.121.101.130.34
pH (destilled water 1:2.5)4.744.944.644.774.944.115.004.09
Electrical conductivity (dS/m)0.160.100.170.110.100.270.100.20
P (mg/kg)8.367.905.76<3.8754.1123.8112.57.15
S (mg/kg)12.576.114.232.371.820.763.012.11
ECEC (cmol/kg)3.774.973.224.143.414.0310.848.91
S (bases) (cmol/kg)1.35nd 2.80nd 0.58nd 2.05nd
H + Al Int. (cmol/kg)2.42nd 2.23nd2.83nd 8.79nd
Al(KCl) (cmol/kg)2.09nd 1.60nd 2.18nd8.59nd
AlSat55.0nd60.0nd 64.0nd70.0nd
Sand 2–0.05 mm; silt 0.05–0.002 mm; clay < 0.002 mm; P (mg/kg) = phosphorus; S (mg/kg) = sulfur; S (bases) = sum of base cations.
Table 4. Application of soil indices (surface horizons) to the Piedemonte Llanero of Colombia.
Table 4. Application of soil indices (surface horizons) to the Piedemonte Llanero of Colombia.
Soil Index
Soil ProfileISSIFAlSoil Fertility (CEC)S
1 Oxic Dystrudepts2.890.0355Very low valueVery low value
2 Typic Hapludox3.540.1860Very low valueLow value
3 Oxic Dystrudepts6.520.0164Very low valueVery low value
4 Typic Udorthent4.620.0870Average valueHigh value
Table 5. Evaluation of the geochemical weathering indices in surface horizons.
Table 5. Evaluation of the geochemical weathering indices in surface horizons.
ProfileOxides (mg/kg)Weathering Index
Al2O3CaONa2OK2OCIACIWPIASOC/Clay Ratio
125,640209.4139.0928.396.899.094.60.045
245,040192.670.42498.798.910098.20.038
313,330121.877.33112194.098.989.00.065
430,260552.113028.7798.39898.30.037
CIA = Chemical Index of Alteration; CIW = Chemical Index of Weathering; PIA = Plagioclase Index of Alteration.
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Trujillo-González, J.M.; Torres-Mora, M.A.; García-Navarro, F.J.; Jiménez-Ballesta, R. A Pedological Catenal Characterization along Steeply Sloped and Perhumid Regions: The Case Study of Piedemonte Llanero, Colombia. Agriculture 2022, 12, 401. https://doi.org/10.3390/agriculture12030401

AMA Style

Trujillo-González JM, Torres-Mora MA, García-Navarro FJ, Jiménez-Ballesta R. A Pedological Catenal Characterization along Steeply Sloped and Perhumid Regions: The Case Study of Piedemonte Llanero, Colombia. Agriculture. 2022; 12(3):401. https://doi.org/10.3390/agriculture12030401

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Trujillo-González, Juan Manuel, Marco Aurelio Torres-Mora, Francisco J. García-Navarro, and Raimundo Jiménez-Ballesta. 2022. "A Pedological Catenal Characterization along Steeply Sloped and Perhumid Regions: The Case Study of Piedemonte Llanero, Colombia" Agriculture 12, no. 3: 401. https://doi.org/10.3390/agriculture12030401

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