Articles | Volume 8, issue 3
https://doi.org/10.5194/se-8-661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-8-661-2017
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Evaluating of the spatial heterogeneity of soil loss tolerance and its effects on erosion risk in the carbonate areas of southern China
Yue Li
State Key Laboratory of Environmental Geochemistry, Institute of
Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou, 550002, PR
China
Puding Comprehensive Karst Research and Experimental Station,
Institute of Geochemistry, CAS and Science and Technology Department of
Guizhou Province, Puding, Guizhou, 562100, PR China
Xiao Yong Bai
CORRESPONDING AUTHOR
State Key Laboratory of Environmental Geochemistry, Institute of
Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou, 550002, PR
China
Puding Comprehensive Karst Research and Experimental Station,
Institute of Geochemistry, CAS and Science and Technology Department of
Guizhou Province, Puding, Guizhou, 562100, PR China
Institute of Mountain Hazards and Environment, Chinese Academy of
Sciences,Chengdu, Sichuan, 610041, PR China
Shi Jie Wang
State Key Laboratory of Environmental Geochemistry, Institute of
Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou, 550002, PR
China
Puding Comprehensive Karst Research and Experimental Station,
Institute of Geochemistry, CAS and Science and Technology Department of
Guizhou Province, Puding, Guizhou, 562100, PR China
Luo Yi Qin
State Key Laboratory of Environmental Geochemistry, Institute of
Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou, 550002, PR
China
Puding Comprehensive Karst Research and Experimental Station,
Institute of Geochemistry, CAS and Science and Technology Department of
Guizhou Province, Puding, Guizhou, 562100, PR China
Yi Chao Tian
State Key Laboratory of Environmental Geochemistry, Institute of
Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou, 550002, PR
China
Graduate School of Chinese Academy of Sciences, Beijing 100029, PR
China
Guang Jie Luo
State Key Laboratory of Environmental Geochemistry, Institute of
Geochemistry, Chinese Academy of Sciences, Guiyang, Guizhou, 550002, PR
China
Graduate School of Chinese Academy of Sciences, Beijing 100029, PR
China
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22 citations as recorded by crossref.
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- ‘Tolerable’ Hillslope Erosion Targets To Maintain Sustainable Land Management Across New South Wales, Australia X. Yang et al. https://doi.org/10.2139/ssrn.3923536
- Assessment of multiple and interacting modes of soil loss in the karst critical zone, Southwest China (SWC) F. Zeng et al. https://doi.org/10.1016/j.geomorph.2018.08.043
- A Comparative Analysis of Soil Loss Tolerance and Productivity of the Olive Groves in the Protected Designation of Origin (PDO) Areas Norte Alentejano (Portugal) and Estepa (Andalusia, Spain) A. Rodríguez Sousa et al. https://doi.org/10.3390/agronomy11040665
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- Assessment of soil erosion risk using an integrated approach of GIS and Analytic Hierarchy Process (AHP) in Erzurum, Turkiye D. Kucuker & D. Cedano Giraldo https://doi.org/10.1016/j.ecoinf.2022.101788
- Analysis Long-Term and Spatial Changes of Forest Cover in Typical Karst Areas of China F. Chen et al. https://doi.org/10.3390/land11081349
- Limitations of soil moisture and formation rate on vegetation growth in karst areas S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2021.151209
- Assessment of the soil protection function of forest ecosystems using GIS-based Multi-Criteria Decision Analysis: A case study in Adıyaman, Turkey N. Bozali https://doi.org/10.1016/j.gecco.2020.e01271
- Influences of phosphate addition on fungal weathering of carbonate in the red soil from karst region D. Tian et al. https://doi.org/10.1016/j.scitotenv.2020.142570
- Hillslope erosion improvement targets: Towards sustainable land management across New South Wales, Australia X. Yang et al. https://doi.org/10.1016/j.catena.2021.105956
- Relationship among land surface temperature and LUCC, NDVI in typical karst area Y. Deng et al. https://doi.org/10.1038/s41598-017-19088-x
- Change Detection of Soil Formation Rate in Space and Time Based on Multi Source Data and Geospatial Analysis Techniques Q. Li et al. https://doi.org/10.3390/rs12010121
- Hydrological effects of vegetation restoration in karst areas research: Progress and challenges Q. Zhou et al. https://doi.org/10.1177/2754124X231199565
- Dam construction impacts on multiscale characterization of sediment discharge in two typical karst watersheds of southwest China Z. Li et al. https://doi.org/10.1016/j.jhydrol.2018.01.034
- Integrating mitigation measures for karst rocky desertification land in the Southwest mountains of China Y. Li et al. https://doi.org/10.1007/s13146-018-0478-2
- Response of Runoff Change to Extreme Climate Evolution in a Typical Watershed of Karst Trough Valley, SW China L. Wu et al. https://doi.org/10.3390/atmos14060927
- Spatio-Temporal Analysis of Erosion Risk Assessment Using GIS-Based AHP Method: A Case Study of Doğancı Dam Watershed in Bursa (Türkiye) E. Erdoğan Yüksel et al. https://doi.org/10.3390/f15071135
- Bridging GRACE/GRACE-FO data gaps with ESTConvS2S for enhanced water storage monitoring S. Gu et al. https://doi.org/10.1080/17538947.2025.2576922
- Estimates of Soil Renewal Rates: Applications for Anti-Erosion Arrangement of the Agricultural Landscape F. Lisetskii https://doi.org/10.3390/geosciences9060266
- Soil loss tolerance in calcareous soils of a semiarid region: evaluation, prediction, and influential parameters Y. Ostovari et al. https://doi.org/10.1002/ldr.3597
22 citations as recorded by crossref.
- Assessing spatial-temporal evolution processes and driving forces of karst rocky desertification F. Chen et al. https://doi.org/10.1080/10106049.2019.1595175
- Reconstructing recent changes in sediment yields from a typical karst watershed in southwest China Z. Li et al. https://doi.org/10.1016/j.agee.2018.09.024
- ‘Tolerable’ Hillslope Erosion Targets To Maintain Sustainable Land Management Across New South Wales, Australia X. Yang et al. https://doi.org/10.2139/ssrn.3923536
- Assessment of multiple and interacting modes of soil loss in the karst critical zone, Southwest China (SWC) F. Zeng et al. https://doi.org/10.1016/j.geomorph.2018.08.043
- A Comparative Analysis of Soil Loss Tolerance and Productivity of the Olive Groves in the Protected Designation of Origin (PDO) Areas Norte Alentejano (Portugal) and Estepa (Andalusia, Spain) A. Rodríguez Sousa et al. https://doi.org/10.3390/agronomy11040665
- Spatio-temporal evolution and future scenario prediction of karst rocky desertification based on CA–Markov model F. Chen et al. https://doi.org/10.1007/s12517-021-07584-4
- Assessment of soil erosion risk using an integrated approach of GIS and Analytic Hierarchy Process (AHP) in Erzurum, Turkiye D. Kucuker & D. Cedano Giraldo https://doi.org/10.1016/j.ecoinf.2022.101788
- Analysis Long-Term and Spatial Changes of Forest Cover in Typical Karst Areas of China F. Chen et al. https://doi.org/10.3390/land11081349
- Limitations of soil moisture and formation rate on vegetation growth in karst areas S. Zhang et al. https://doi.org/10.1016/j.scitotenv.2021.151209
- Assessment of the soil protection function of forest ecosystems using GIS-based Multi-Criteria Decision Analysis: A case study in Adıyaman, Turkey N. Bozali https://doi.org/10.1016/j.gecco.2020.e01271
- Influences of phosphate addition on fungal weathering of carbonate in the red soil from karst region D. Tian et al. https://doi.org/10.1016/j.scitotenv.2020.142570
- Hillslope erosion improvement targets: Towards sustainable land management across New South Wales, Australia X. Yang et al. https://doi.org/10.1016/j.catena.2021.105956
- Relationship among land surface temperature and LUCC, NDVI in typical karst area Y. Deng et al. https://doi.org/10.1038/s41598-017-19088-x
- Change Detection of Soil Formation Rate in Space and Time Based on Multi Source Data and Geospatial Analysis Techniques Q. Li et al. https://doi.org/10.3390/rs12010121
- Hydrological effects of vegetation restoration in karst areas research: Progress and challenges Q. Zhou et al. https://doi.org/10.1177/2754124X231199565
- Dam construction impacts on multiscale characterization of sediment discharge in two typical karst watersheds of southwest China Z. Li et al. https://doi.org/10.1016/j.jhydrol.2018.01.034
- Integrating mitigation measures for karst rocky desertification land in the Southwest mountains of China Y. Li et al. https://doi.org/10.1007/s13146-018-0478-2
- Response of Runoff Change to Extreme Climate Evolution in a Typical Watershed of Karst Trough Valley, SW China L. Wu et al. https://doi.org/10.3390/atmos14060927
- Spatio-Temporal Analysis of Erosion Risk Assessment Using GIS-Based AHP Method: A Case Study of Doğancı Dam Watershed in Bursa (Türkiye) E. Erdoğan Yüksel et al. https://doi.org/10.3390/f15071135
- Bridging GRACE/GRACE-FO data gaps with ESTConvS2S for enhanced water storage monitoring S. Gu et al. https://doi.org/10.1080/17538947.2025.2576922
- Estimates of Soil Renewal Rates: Applications for Anti-Erosion Arrangement of the Agricultural Landscape F. Lisetskii https://doi.org/10.3390/geosciences9060266
- Soil loss tolerance in calcareous soils of a semiarid region: evaluation, prediction, and influential parameters Y. Ostovari et al. https://doi.org/10.1002/ldr.3597
Saved (final revised paper)
Discussed (final revised paper)
Latest update: 05 Jun 2026
Short summary
First, we report the following discovery: T values are spatially heterogeneous, and a minimum of three criteria should be considered instead of only a single criterion in karst areas. In fact, our findings disprove the old “one region, one T value” concept.
Second, we proposed a new viewpoint: in karst regions, a large soil erosion modulus does not correspond to severe soil erosion. Although T value can reflect soil sensitivity, this value cannot indicate soil erosion risk.
First, we report the following discovery: T values are spatially heterogeneous, and a minimum of...