Niu Zepeng, Wang Xiaofeng, Luo Guangxiang, et al. Ecological Function Zoning of Tibet Autonomous Region Based on SOFM Network at Watershed Scale[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 116-123.
DOI:
Niu Zepeng, Wang Xiaofeng, Luo Guangxiang, et al. Ecological Function Zoning of Tibet Autonomous Region Based on SOFM Network at Watershed Scale[J]. Bulletin of Soiland Water Conservation, 2020, 40(4): 116-123. DOI: 10.13961/j.cnki.stbctb.20200522.002.
Ecological Function Zoning of Tibet Autonomous Region Based on SOFM Network at Watershed Scale
[Objective] Based on the regional key ecosystem services
the regional ecological function regionalization of Tibet Autonomous Region was studied to provide basis for the regional comprehensive cognition and spatial comprehensive management of the plateau ecosystem. [Methods] With the support of GIS technology
the index system of ecological function partition in Tibet was constructed based on the regional key ecosystem service. Using the self-organizing feature mapping (SOFM) clustering grid cell index
the boundary of ecological functional area was determined by merging small watershed cells. [Results] ① The ecosystem service function index exhibited a notable decreasing gradient from the southeast to the northwest. ② According to the landscape aggregation index of each classification grid
the optimal classification number was five. ③ The fragmented five clustering results were finally divided into five ecological function areas after the merger of small watershed cells. [Conclusion] According to the characteristics of each regional ecosystem
the five ecological functional areas including: the ecologically fragile alpine desert grasslands in Northern Tibet
the animal husbandry surplus areas in Central Tibet region
the agriculture and animal husbandry product supply areas in East Asia tropical mountain coniferous forests
the water production areas in Southeast Asia tropical mountain coniferous forests
and the biodiversity protection areas in Southeast Tibet tropical seasonal rain forests.
Schneider A, Friedl M A, Potere D. Mapping global urban areas using MODIS 500-m data:New methods and datasets based on ‘urban ecoregions’[J]. Remote Sensing of Environment, 2010,114(8):1733-1746.
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