Evolution of Soil Erosion Degree in 30 Years in Granite Hills, Southeastern of China —A Case Study of Changting County,Fujian

  • 1. School of Geographic and Oceanographic Sciences, Nanjing University, Nanjing, Jiangsu 210093, China;
    2. State Key Laboratory of Soil and Sustainable Agriculture, Institute of Soil Science, Chinese Academy of Sciences, Nanjing, Jiangsu 210008, China

Received date: 2011-01-24

  Revised date: 2011-08-10

  Online published: 1997-10-20


Monitoring the soil erosion dynamically is an important part in soil erosion research.The studies in China always adopt the quantitative model which were developed abroad, so the shortage is existed in factors selection and commonality of the model, and such studies are also considered less in erosion potentiality. As a result, a concept of erosion degree is proposed in the study, which is a consolidated representation of actual erosion intensity and potential erosion risk. Based on human-land relationship system, the erosion degree were calculated by quantification of multi index, and the spatial and temporal soil erosion degree transition tendency in Changting County, Fujian Provience was analyzed. The results show that characteristics of concentration and contiguous are existed in erosion distribution, the highest erosion degree is existed in central of Changting County, and gradually decay to the surrounding area. On the other wise, although the uncertainty is existed in transition of soil erosion degree, the soil erosion had improved in the passed 30 years, the proportion of safe area in 1975 was 3.87%, and it rose quickly to approximately 56.38% in 2006.In contrast, the decrease rate of extremely dangerous area is less than the other areas, the proportion only reduced from 12.3% in 1975 to 6.66% in 2006.The phenomenon is closely related with the region differences in habitats, economic development and policy orientation. In generally,the result not only certify the suitability in the selection of erosion factors, but also indicted that the erosion degree can characterize the transition tendency of soil erosion.

Cite this article

LIN Chen, ZHOU Sheng-lu, WU Shao-hua . Evolution of Soil Erosion Degree in 30 Years in Granite Hills, Southeastern of China —A Case Study of Changting County,Fujian[J]. SCIENTIA GEOGRAPHICA SINICA, 2011 , 31(10) : 1235 -1241 . DOI: 10.13249/j.cnki.sgs.2011.010.1235


[1] 赵其国, 史学正.土壤资源概论[M]. 北京: 科学出版社,2007.
[2] 周正朝, 上官周平. 土壤侵蚀模型研究综述[J]. 2004, 2 (1):52~55.
[3] Laflen J M, Lwonard J L, Foster G R. WEPP: a new generation of erosion prediction technology[J]. Journal of Soil and Water Cons, 1991, 46(1): 34-38.
[4] Morgan R P C, Quinton J N, Smith R E, et al. The European soil erosion model (EUROSEM): a dynamic approach for predicting sediment transport from fields and small catchments[J]. Earth Surface Processes and landforms, 1998, 23(1): 527-544.
[5] Renard K G, Foster G R, WeesiesG A, et al. Predicting Soil Erosion by Water: A Guide to Conservation Planning with the Revised Univesal Soil Loss Equation (RUSLE)[M].USDA Handbook, No.537,1978.
[6] Gouée P Le, Delahaye D. SCALES: a large-scale assessment model of soil erosion hazard in Basse-Normandie (Northern-Western France) [J]. Earth Surf. Process. Landforms, 2010, 35(1), 887-901.
[7] Febles J M. Edaphic indicators for assessment of soil erosion in Karst regions, Province of Havana [J]. Land Degrad Dev. 2009, 20(1): 522-534.
[8] Maria Kouli, Pantelis Soupios. Soil erosion prediction using the Revised Universal Soil Loss Equation (RUSLE) in a GIS framework, Chania, Northwestern Crete, Greece[J]. Environ Geol 2009, 57(1):483-497.
[9] 蔡国强, 刘纪根.关于我国土壤侵蚀模型研究进展[J]. 地理科学进展, 2003,22(3):242~250.
[10] 蔡崇法, 丁树文, 史志华等.应用USLE模型与地理信息系统IDRISI预测小流域土壤侵蚀量的研究[J].水土保持学报, 2000, 14(2): 20~26.
[11] 马国斌.基于GIS的黄土高原小流域土壤侵蚀定量评价研究.南京:南京师范大学, 2003.
[12] 李智广. 区域土壤侵蚀遥感定量监测技术研究[D].西安:西北农林科技大学, 2001.
[13] 郭旭东, 邱 扬, 连 纲,等.基于PSR框架的土地质量指标体系研究进展与展望[J].地理科学进展, 2003, 22(5): 479~489.
[14] 贺秀斌, 文安邦, 张信宝,等.农业生态环境评价的土壤侵蚀退耦指标体系[J].土壤学报,2005,42(5) :852~855.
[15] 史德明, 韦启潘, 梁 音等.中国南方侵蚀土壤退化指标体系研究[J].水土保持学报,2000,14(3):1~9.
[16] 吴清泉, 陈明华, 陈文祥,等. 福建省水蚀区土壤侵蚀遥感监测技术探讨[J]. 水土保持通报. 2007, 27 (4):49~52.
[17] 王维明, 陈明华, 林敬兰,等. 长汀县水土流失动态变化及防治对策研究[J].水土保持通报,2005, 25 (4) :73~77.
[18] 黄炎和, 卢程隆. 闽南次降雨量与土壤侵蚀量的关系研究[J].水土保持学报,2002,16(3) :75~78.
[19] 阮伏水. 花岗岩坡地土壤侵蚀强度分级参考指标探讨[J]. 水土保持研究.1997, 4(1):113~19.
[20] 陈明华.闽南地区不同土地利用类型土壤侵蚀现状分析[J].福建农业学报,2002,17(2) :78~80.
[21] 国家统计局长汀调查队. 长汀统计年鉴[M]. 长汀: 长汀县统计局,1975, 1990, 1999, 2006.
[22] 福建省土壤普查办公室. 长汀土壤志[M]. 长汀: 长汀水土保持局[M].1997.
[23] 曾慧娟, 潘文斌. 基于RS/GIS和RUSLE的福建武步溪流域土壤侵蚀研究[J]. 安全与环境学报.2007, 7(5):88~92.
[24] Wischemier W H. A soil erodibility nomograph for farmland and construction sites [J]. Soil and Water Conversation, 1971, 26: 189-193.
[25] 丁 凤, 徐涵秋.TM 热波段图像的地表温度反演算法与实验分析[J].地球信息科学.2006, 8(3):125~130.
[24] 杨学震. 丘陵红壤的土壤侵蚀与治理[M].北京: 中国农业出版社.2005: 77~141.
[27] Pan J J, Zhang T L . Dynamics of soil erosion in Xingguo County, China, determined using remote sensing and GIS [J]. Pedosphere, 2005, 15 (3): 356~362.
[28] 林敬兰. 福建省土壤侵蚀空间分布规律及防治对策探讨[J]. 资源科学,2003,26(增刊): 111~118.