Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province
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X171.4;P931.1

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    Abstract:

    [Objective] The ecological restoration strategy of sandy land in Gansu Province from a macroscopic perspective was investigated in order to provide a foundation for the construction and optimization of a regional ecological space network. [Methods] By combining the land desertification sensitivity index with ecological networks, nodes in areas with higher sensitivity were selected and optimized by increasing the edges through degree centrality and betweenees centrality analysis. The optimization results were verified by comparing the robustness before and after enhancing the edges. [Results] ① The sensitivity of land desertification in Gansu Province showed a spatial pattern of gradually decreasing from the northwest to the southeast, and the land desertification in the northwest was serious. ② The dense ecological sources and corridors in the southeast part of Gansu Province and the scarcity of sources and corridors in the northwest part indicated that the ecological network in the northwest was poorly connected, and the ecological background needed to be strengthened. ③ The node robustness and connection robustness of the ecological network after edge-enhanced optimization was significantly improved, while the robustness of network edges was slightly but not significantly improved. [Conclusion] The stability of the ecological spatial network in Gansu Province can be improved through the edge-enhanced optimization strategy, and the ecological self-restoration capacity can be enhanced. However, the simulated ecological restoration paths may not be suitably transformed or the actual costs of constructing corridors may be large due to geographical constraints, and circumstances should be considered specifically in light of the actual situation.

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仇实,于强,杨林哲,马骏,王戈,岳德鹏.甘肃省土地沙化敏感性及生态空间网络优化[J].水土保持通报英文版,2022,42(5):114-122,150

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History
  • Received:January 20,2022
  • Revised:March 13,2022
  • Adopted:
  • Online: November 22,2022
  • Published: