The Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China
Controlling soil erosion is beneficial to the conservation of soil resources and ecological restoration. Understanding the spatial distribution characteristics of soil erosion helps find the key areas for soil control projects and optimal scale for investing in a soil and water conservation project...
Guardado en:
| Autores principales: | , , , , , , , , |
|---|---|
| Formato: | article |
| Lenguaje: | EN |
| Publicado: |
MDPI AG
2021
|
| Materias: | |
| Acceso en línea: | https://doaj.org/article/6b938b7dbdbf44d7b2b9939d2e88850a |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| id |
oai:doaj.org-article:6b938b7dbdbf44d7b2b9939d2e88850a |
|---|---|
| record_format |
dspace |
| spelling |
oai:doaj.org-article:6b938b7dbdbf44d7b2b9939d2e88850a2021-11-11T16:11:52ZThe Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China10.3390/ijerph1821110441660-46011661-7827https://doaj.org/article/6b938b7dbdbf44d7b2b9939d2e88850a2021-10-01T00:00:00Zhttps://www.mdpi.com/1660-4601/18/21/11044https://doaj.org/toc/1661-7827https://doaj.org/toc/1660-4601Controlling soil erosion is beneficial to the conservation of soil resources and ecological restoration. Understanding the spatial distribution characteristics of soil erosion helps find the key areas for soil control projects and optimal scale for investing in a soil and water conservation project at the lowest cost. This study aims to answer the question of how the spatial distribution of soil erosion in Hubei Province changed between 2000 and 2020. Moreover, how do the effects of natural factors and human activities on soil erosion vary over the years? What are the differences in landscape pattern characteristics and the spatial cluster of soil erosion at multiple administrative scales? We simulated the spatial distribution of soil erosion in Hubei province from 2000 to 2020 by the Chinese Soil Loss Equation model at three administrative scales. We investigated the relationship between soil erosion and driving factors by Geodector. We explored the landscape pattern and hotspots of land at different levels of soil erosion by Fragstat and hotspot analysis. The results show that: (1) The average soil erosion rate decreased from 2000 to 2020. Soil erosion is severe in the mountainous areas of western Hubei province, while it is less severe in the central plains. (2) Land-cover type, precipitation, and normalized difference vegetation index are the most influencing factors of soil erosion in 2000–2010, 2015, and 2020, respectively. (3) The aggregation index values at the town scale are higher than those at the city and county scales, while the fractal dimension index values at the town scale are lower, which indicates that soil erosion projects are most efficient when the project unit is ‘town’. (4) At the town scale, if the hotspot area (6.84% of the total area) is treated as the protection target, it can reduce 50.42% of the total soil erosion of Hubei province. Hotspots of soil erosion overlap with high erosion zones, mainly in the northwestern, northeastern, and southwestern parts of Hubei province in 2000, while the hotspots in northwestern Hubei disappear in 2020. In conclusion, land managers in Hubei should optimize the land-use structure, soil and water conservation in slope land, and eco-engineering controls at the town scale.Qing LiYong ZhouLi WangQian ZuoSiqi YiJingyi LiuXueping SuTao XuYan JiangMDPI AGarticlelandscape pattern analysismulti-scalehotspot analysisgeodetectorChinese soil loss equationMedicineRENInternational Journal of Environmental Research and Public Health, Vol 18, Iss 11044, p 11044 (2021) |
| institution |
DOAJ |
| collection |
DOAJ |
| language |
EN |
| topic |
landscape pattern analysis multi-scale hotspot analysis geodetector Chinese soil loss equation Medicine R |
| spellingShingle |
landscape pattern analysis multi-scale hotspot analysis geodetector Chinese soil loss equation Medicine R Qing Li Yong Zhou Li Wang Qian Zuo Siqi Yi Jingyi Liu Xueping Su Tao Xu Yan Jiang The Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China |
| description |
Controlling soil erosion is beneficial to the conservation of soil resources and ecological restoration. Understanding the spatial distribution characteristics of soil erosion helps find the key areas for soil control projects and optimal scale for investing in a soil and water conservation project at the lowest cost. This study aims to answer the question of how the spatial distribution of soil erosion in Hubei Province changed between 2000 and 2020. Moreover, how do the effects of natural factors and human activities on soil erosion vary over the years? What are the differences in landscape pattern characteristics and the spatial cluster of soil erosion at multiple administrative scales? We simulated the spatial distribution of soil erosion in Hubei province from 2000 to 2020 by the Chinese Soil Loss Equation model at three administrative scales. We investigated the relationship between soil erosion and driving factors by Geodector. We explored the landscape pattern and hotspots of land at different levels of soil erosion by Fragstat and hotspot analysis. The results show that: (1) The average soil erosion rate decreased from 2000 to 2020. Soil erosion is severe in the mountainous areas of western Hubei province, while it is less severe in the central plains. (2) Land-cover type, precipitation, and normalized difference vegetation index are the most influencing factors of soil erosion in 2000–2010, 2015, and 2020, respectively. (3) The aggregation index values at the town scale are higher than those at the city and county scales, while the fractal dimension index values at the town scale are lower, which indicates that soil erosion projects are most efficient when the project unit is ‘town’. (4) At the town scale, if the hotspot area (6.84% of the total area) is treated as the protection target, it can reduce 50.42% of the total soil erosion of Hubei province. Hotspots of soil erosion overlap with high erosion zones, mainly in the northwestern, northeastern, and southwestern parts of Hubei province in 2000, while the hotspots in northwestern Hubei disappear in 2020. In conclusion, land managers in Hubei should optimize the land-use structure, soil and water conservation in slope land, and eco-engineering controls at the town scale. |
| format |
article |
| author |
Qing Li Yong Zhou Li Wang Qian Zuo Siqi Yi Jingyi Liu Xueping Su Tao Xu Yan Jiang |
| author_facet |
Qing Li Yong Zhou Li Wang Qian Zuo Siqi Yi Jingyi Liu Xueping Su Tao Xu Yan Jiang |
| author_sort |
Qing Li |
| title |
The Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China |
| title_short |
The Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China |
| title_full |
The Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China |
| title_fullStr |
The Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China |
| title_full_unstemmed |
The Link between Landscape Characteristics and Soil Losses Rates over a Range of Spatiotemporal Scales: Hubei Province, China |
| title_sort |
link between landscape characteristics and soil losses rates over a range of spatiotemporal scales: hubei province, china |
| publisher |
MDPI AG |
| publishDate |
2021 |
| url |
https://doaj.org/article/6b938b7dbdbf44d7b2b9939d2e88850a |
| work_keys_str_mv |
AT qingli thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT yongzhou thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT liwang thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT qianzuo thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT siqiyi thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT jingyiliu thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT xuepingsu thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT taoxu thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT yanjiang thelinkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT qingli linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT yongzhou linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT liwang linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT qianzuo linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT siqiyi linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT jingyiliu linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT xuepingsu linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT taoxu linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina AT yanjiang linkbetweenlandscapecharacteristicsandsoillossesratesoverarangeofspatiotemporalscaleshubeiprovincechina |
| _version_ |
1718432360563736576 |