Ning Ting, Guo Xinya, Rong Yuejing, et al. Evaluation of Soil Conservation Function Importance of Ecosystems in Shanxi Province Based on RUSLE Model[J]. Bulletin of Soiland Water Conservation, 2019, 39(6): 205-210.
DOI:
Ning Ting, Guo Xinya, Rong Yuejing, et al. Evaluation of Soil Conservation Function Importance of Ecosystems in Shanxi Province Based on RUSLE Model[J]. Bulletin of Soiland Water Conservation, 2019, 39(6): 205-210. DOI: 10.13961/j.cnki.stbctb.2019.06.030.
Evaluation of Soil Conservation Function Importance of Ecosystems in Shanxi Province Based on RUSLE Model
[Objective] The spatial distribution pattern of soil conservation service function in Shanxi Province was analyzed
and the key areas that need to be protected were identified
in order to provide reference for ecological protection redline delineation and national territorial planning.[Methods] The revised universal soil and water loss equation(RUSLE) was used to analyze the importance of soil conservation function.[Results] The total amount of soil conservation was 6.52×109 t/a
and the average amount of soil conservation per unit area was 416.10 t/(hm2·a) during the study period. The spatial distribution pattern of the ecosystem's soil conservation function was low in northwest and high in southeast
as well as low in basin and high in hills and mountains. The areas of extremely important areas
important areas and general important areas accounted for 23.10%
28.33% and 48.57% of the total area of Shanxi Province
respectively.[Conclusion] The extremely important areas of soil conservation function in Shanxi Province were mainly distributed in Taihang Mountain
Luliang Mountain
Heng Mountain
Wutai Mountain
Taiyue Mountain and Zhongtiao Mountain
and it was also widely distributed in loess hill area of western Shanxi Province.
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references
Zhang Caixia, Zhang Leiming, Li Shimei, et al. Soil conservation of national key ecological function areas[J]. Journal of Resources and Ecology, 2015,6(6):397-404.
Terranova O, Antronico L, Coscarelli R, et al. Soil erosion risk scenarios in the Mediterranean environment using RUSLE and GIS:An application model for Calabria(Southern Italy)[J]. Geomorphology, 2009,112(3/4):228-245.