Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province

Qiu Shi; Yu Qiang; Yang Linzhe; Ma Jun; Wang Ge; Yue Depeng

doi:10.13961/j.cnki.stbctb.2022.05.015

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Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province

- Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province
- Bulletin of Soiland Water Conservation Vol. 42, Issue 5, Pages: 114-122(2022)
- 作者机构：
  
  北京林业大学林学院,北京,100083
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2022.05.015
  CLC： P931.1;X171.4
- Published：2022
- 稿件说明：
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Qiu Shi, Yu Qiang, Yang Linzhe, et al. Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 114-122.
DOI：

Qiu Shi, Yu Qiang, Yang Linzhe, et al. Evaluation of Land Desertification Sensitivity and Ecological Spatial Network Optimization in Gansu Province[J]. Bulletin of Soiland Water Conservation, 2022, 42(5): 114-122. DOI： 10.13961/j.cnki.stbctb.2022.05.015.

摘要

[目的] 从宏观视角探究甘肃省沙化土地的生态修复策略

为区域的生态空间网络构建及优化提供基础。[方法] 将土地沙化敏感性指标与生态网络相结合，通过度中心性和介数中心性分析，筛选敏感性较高地区的节点并对其增边优化，最后通过增边前后鲁棒性的对比，验证优化结果。[结果] ①甘肃省土地沙化敏感性呈现由西北逐渐向东南依次降低的空间格局，西北地区土地沙化情况严重。②甘肃省东南地区生态源地与廊道密集而西北地区的源地和廊道稀少，表明西北地区生态网络连通性差，生态本底有待加强。③增边优化后的生态网络节点鲁棒性和连接鲁棒性有明显的提升，网络边的鲁棒性略有提升但不明显。[结论] 通过增边优化策略可以提高甘肃省生态空间网络的稳定性，并提高生态自我恢复能力，但模拟出的生态修复路径可能由于地理条件限制，无法进行适宜的改造或建设廊道的实际成本很大，应结合实际情况具体考虑。

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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