Identification of soil erosion risk patterns in a watershed based on source-sink landscape units

Jinliang, 王金亮 Wang; Deti, 谢德体 Xie; Jiupai, 倪九派 Ni; Jing'an, 邵景安 Shao

doi:10.5846/stxb201611022234

Cited by 2 publications

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“…Different land use types exhibit different “source-sink” risk attributes in terms of soil erosion. In soil erosion risk research, landscape units based on land use are considered as the mosaic units, and the spatial distribution pattern of land use within the region can affect runoff and sediment loss (Wang et al, 2017). For defining “source” and “sink” landscape types, land use types with strong human interference, such as cultivated and construction land, are considered as “source” due to their extensive external input of materials and energy.…”

Section: Methodsmentioning

confidence: 99%

“…The specific parameters have been described by Sun et al (2012). In this study, the weights for the source and sink landscapes were determined based on previous research (Wang et al, 2017). The weight values assigned to the different landscape types are 0.3, 0.4, 0.6 0.7, 0.5, 0.6, 0.8, and 0.8 for cultivated land, construction land, other land, low vegetation-covered grassland, low vegetation-covered forest, medium-high vegetation-covered grassland, medium-high vegetation-covered forest, and garden plot, respectively.…”

Section: Methodsmentioning

confidence: 99%

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Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

Du,

Zhang,

Gao

et al. 2023

Transactions in Earth, Environment, and Sustainability

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The karst regions in southwest China are integral to maintaining regional ecological security. However, escalating human activities in these areas have intensified soil erosion and landscape fragmentation. Clarifying the role of landscape patterns in karst regions as drivers of soil erosion processes is essential for providing crucial support in mitigating regional soil erosion. By utilizing unmanned aerial vehicle detection, this study examined the soil erosion characteristics, driving factors, and interaction effects in peak-cluster depression landscapes. The investigation was conducted at multiple scales, including peak-cluster depression, grid, and patch levels, under the combined ecology–agriculture, ecology–economy and near–nature landscape utilization types. Furthermore, an optimal landscape pattern for alleviating soil erosion was identified. The research findings indicate that the proportions of mild and moderate erosion were higher in the ecology-agriculture landscape utilization type compared to the other two landscapes. In the ecology-economy type, slight soil erosion predominated. Increasing vegetation cover led to a decrease in soil erosion risk in the near-nature landscape utilization type. The interaction effects among factors contributed to an enhanced explanatory power for soil erosion. Particularly, the synergistic effect between vegetation coverage and land use exhibited the most significant influence on soil erosion. The mosaic distribution pattern of soil erosion sources and sinks, as well as the distribution pattern of fragmented source and aggregated sink distribution pattern, effectively mitigated soil loss, leading to reduced soil erosion rates.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

Du,

Zhang,

Gao

et al. 2023

Transactions in Earth, Environment, and Sustainability

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Exploring the scale effect of nonpoint source pollution risk on water quality in Lake Basins of Central Yunnan Plateau using the Minimum Cumulative Resistance model

Fu,

Ma,

Peng

et al. 2024

PeerJ

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Nonpoint source (NPS) pollution has emerged as the predominant water environment issue confronting plateau lakes in central Yunnan. Quantitative analysis of the impact of NPS pollution on water quality constitutes the key to preventing and controlling water pollution. However, currently, there is a dearth of research on identifying NPS pollution risks and exploring their relationship with water quality based on the Minimum Cumulative Resistance (MCR) model in the plateau lake basins of central Yunnan. Particularly, studies on the spatial heterogeneity of the impact of NPS pollution on water quality from a multi-scale perspective are scarce. Therefore, this study focuses on three typical lake basins in the Central Yunnan Plateau–Fuxian Lake, Xingyun Lake, and Qilu Lake (the Three Lakes). Utilizing the MCR model to identify NPS pollution risks, the study analyzes seven different scales, including sub-basins, riparian buffer zones (100 m, 300 m, 500 m, 700 m, and 1,000 m) and lakeshore zones, to reveal the multi-scale effects of NPS pollution on water quality through correlation analysis. The results indicate that: (1) Over 60% of the areas in the Three Lakes Basin are at high or extremely high risk, mainly concentrated in flat terrain and around inflow rivers; (2) The area of NPS pollution from paddy field source landscape (PFSL) is greater than that from construction land source landscape (CLSL), and the high-risk areas of NPS pollution are also larger for PFSL compared to CLSL; (3) The mean resistance values of PFSL and CLSL show a significant negative correlation with monthly mean values of water quality indexes (NH3-N, TP, CODCr), with the 1,000 m riparian buffer zone scale showing the greatest correlation with most water quality indexes, especially NH3-N; (4) The correlation between the mean resistance value of CLSL and the monthly mean values of water quality indexes is significantly higher than that of PFSL, indicating a greater impact of CLSL on water quality compared to PFSL. In summary, PFSL and CLSL are the primary sources of NPS pollution in the Three Lakes Basins. The 1,000 m riparian buffer zone scale is the most sensitive to the impact of NPS pollution on water quality. This study provides scientific references for landscape pattern optimization and precise control of NPS pollution risks in the Central Yunnan Plateau lake basins and offers a new research perspective for exploring multi-scale effects of NPS pollution on water quality.

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Identification of soil erosion risk patterns in a watershed based on source-sink landscape units

Cited by 2 publications

References 0 publications

Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

Soil erosion effects and mechanisms in the karst peak-cluster depression area from a multi-scale landscape perspective

Exploring the scale effect of nonpoint source pollution risk on water quality in Lake Basins of Central Yunnan Plateau using the Minimum Cumulative Resistance model

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