Temporal and spatial distribution of soil water repellency in grassland soils and its relation to soil moisture, hydrophobic matter, and particle size

Gao, Yongfei; Yang, Pengyuan

doi:10.1016/j.scitotenv.2023.166700

Cited by 3 publications

(2 citation statements)

References 57 publications

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“…Additionally, rural population loss, cropland quality, and economic benefits have led to frequent abandonment of cropland. According to surveys, 80% of villages have abandoned 15% of their cropland area, with some converting to grassland, thus reducing soil loss [63][64][65]. This fully illustrates that soil erosion is a complex phenomenon influenced by various factors, such as topography, vegetation cover, and human activities.…”

Section: Impact Of Land Use Changes On Soil Erosionmentioning

confidence: 96%

Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Lai,

Li,

Liu

2024

Forests

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Revealing the relationship between land use changes and soil erosion provides a reference for formulating future land use strategies. This study simulated historical and future soil erosion changes based on the RULSE and GeoSOS-FLUS models and used a random forest model to explain the relative importance of natural and anthropogenic factors on soil erosion. The main conclusions are as follows: (1) From 1990 to 2020, significant changes in land use occurred in Kunming, with a continuous reduction in woodland, grassland, and cropland, being converted into construction land, which grew by 195.18% compared with 1990. (2) During this period, the soil erosion modulus decreased from 133.85 t/(km²·a) in 1990 to 130.32 t/(km²·a) in 2020, with a reduction in soil loss by 74,485.46 t/a, mainly due to the conversion of cropland to construction and ecological lands (woodland, grassland). (3) The expansion of construction land will continue, and it is expected that by 2050, the soil erosion modulus will decrease by 3.77 t/(km²·a), 4.27 t/(km²·a), and 3.27 t/(km²·a) under natural development, rapid development, and ecological protection scenarios, respectively. However, under the cropland protection scenario, the soil erosion modulus increased by 0.26 t/(km²·a) compared with 2020. (4) The spatial pattern of soil erosion is influenced by both natural and anthropogenic factors, and as human activities intensify in the future, the influence of anthropogenic factors will further increase. Traditionally, the expansion of construction land is thought to increase soil loss. Our study may offer a new perspective and provide a reference for future land use planning and soil loss management in Kunming.

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Section: Impact Of Land Use Changes On Soil Erosionmentioning

confidence: 96%

Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Lai,

Li,

Liu

2024

Forests

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“…The aggregate composition of soils is an important indicator of their resistance to wind erosion (Le Bissonnais et al, 2017;Zheng et al, 2023), and the water resistance of aggregates is an important indicator of resistance to water erosion (Liang et al, 2023). The aggregate composition and content of water-resistant aggregates in the soil depends on many factorsparticle size distribution (Gao & Yang, 2023), characteristics of soil organic matter (Li et al, 2017;Yang et al, 2023), type of vegetation, ecosystems and land use (Dou et al, 2020;Yang et al, 2024).…”

Section: Introductionmentioning

confidence: 99%

Mechanisms of influence of forest ecosystems on the aggregate composition and water stability of soil aggregates in the semi-arid area of southeast Ukraine

Gorban,

Poleva,

Bilova

et al. 2024

Regul. Mech. Biosyst.

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Modern processes of climate change are accompanied by a number of negative factors, which include aridization, desertification, soil degradation and erosion. The research was were carried out on the territory that is the southern border of the distribution of the late glacial phase of the Dnieper glaciation (Middle Pleistocene, 100–230 thousand years ago). The influence of forest ecosystems on the aggregate composition and water stability of soil aggregates, the features of which determine the protection of soils from erosion and other degradation processes in semiarid conditions, was assessed. It has been established that luvic chernozems of forest ecosystems are characterized by an increased content of aggregates of fractions 2–3, 1–2 and 0.5–1.0 mm, as well as water-stable aggregates of fractions > 5, 0.5–1.0 and 0.25–0.5 mm in the 0–20 cm layer compared to ordinary chernozems of steppe ecosystems. The content of soil organic matter is a determining factor on which the aggregate composition and content of water-stable aggregates in luvic chernozems of forest ecosystems depends. The existence of close direct relationships has been established between the content of soil organic matter and the content of aggregates of the 0.5–1.0 mm fraction, as well as between the content of soil organic matter and the content of water-stable aggregates of fractions 3–5, 2–3 and 1–2 mm in chernozems of steppe and forest ecosystems. The existence of close direct relationships between the sand content and the content of water-stable aggregates of fractions 3–5 and 2–3 mm was revealed. The established increase in the content of soil organic matter and sand in luvic chernozems of forest ecosystems compared to ordinary chernozems of steppe ecosystems is the reason for the improvement in the aggregate composition and the increase in the content of water-stable aggregates. This is a key aspect of increasing the resistance of soils in forest ecosystems to various negative factors, such as desertification, degradation, wind and water soil erosion.

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Land-use-driven changes in functional profiles of microbial lipid metabolism affect soil water repellency

Chai,

Qu,

et al. 2024

CATENA

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Temporal and spatial distribution of soil water repellency in grassland soils and its relation to soil moisture, hydrophobic matter, and particle size

Cited by 3 publications

References 57 publications

Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Predicting Soil Erosion Using RUSLE and GeoSOS-FLUS Models: A Case Study in Kunming, China

Mechanisms of influence of forest ecosystems on the aggregate composition and water stability of soil aggregates in the semi-arid area of southeast Ukraine

Land-use-driven changes in functional profiles of microbial lipid metabolism affect soil water repellency

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