基于生态系统服务功能重要性评价的喀斯特宜林地识别

通过生态系统服务功能重要性评价和离散型Hopfield神经网络系统（discrete hopfield neural network,DHNN）探讨喀斯特地区宜林地的快速识别方法。以贵州省普定县典型喀斯特石漠化区域为研究区，根据当地生态环境特征，选取土壤保持和石漠化控制这2个比较重要的生态系统服务功能，运用层次分析法和多因子综合评价法，建立生态系统服务功能重要性评价体系。通过对生态系统服务功能重要性空间分布规律的定量分析，获得适宜的人工造林区域，结合DHNN系统，构建宜林地快速识别模型，为喀斯特困难立地人工植被恢复和景观修复提供重要依据。

Identification of the Land Suitable for Afforestation in Karst Area Based on the Evaluation of Ecosystem Service Importance

The identification of the land suitable for afforestation in karst areas was discussed by the ecosystem service importance evaluation and the discrete hopfield neural network system (DHNN).According to the ecological characteristics of the typical rocky desertification area in Puding County of Guizhou Province,two ecosystem service functions (soil conservation and rocky desertification control) were selected to set up an index system by using analytic hierarchy process and multi-factor comprehensive evaluation.Through the quantitative analysis of the spatial distribution of ecosystem service to obtain the reasonable afforestation areas,combining with the DHNN system,a model was constructed to identify the suitable afforestation areas efficiently,so as to provide important references for the artificial vegetation restoration and the landscape in karst area.