
挠力河流域景观生态健康时空演变
Spatial and temporal evolution of landscape ecological health in Naolihe Basin
【目的】揭示流域景观生态健康时空演变特征并明确其空间分异性与集聚性,为流域景观生态资源管护及可持续发展提供参考。【方法】以景观生态结构、景观生态过程和景观生态功能为基础构建景观生态健康评价指标体系;采用层次分析法(AHP)与熵权法(EWM)集成模型明确指标权重;利用ArcGIS 10.7及GeoDa 1.14平台加权叠加分析、健康等级转移矩阵、探索性空间数据分析(ESDA)等对2010年和2018年挠力河流域景观生态健康时空演变及空间关联性进行深入研究。【结果】相较于2010年,2018年挠力河流域景观生态健康综合指数均值由0.67下降为0.59,由亚健康Ⅳ降低到中等Ⅲ水平;景观生态健康等级转化以相邻等级转化为主,转化类型中稳定型占比最大而改善型占比最小,退化型较改善型在占比和面积方面分别高出9.69%、2 184.67 km2,其中仅在宝清县北部和集贤县大部、友谊县东北部存在较小程度的改善;2010年流域景观生态健康具有较强的空间集聚性,2018年空间集聚性减弱,并通过空间自相关分析明确了2010—2018年流域景观健康空间分异与聚集特征的空间位置和范围。【结论】挠力河流域景观生态健康指数两时期空间分布大致都为东高西低,研究区整体呈现西部改善,东部和西南部退化的演变格局。根据研究区2010—2018年景观生态健康不同空间自相关转移类型,从生态用地保护、水土保持治理、土地开发与建筑用地管制、生态修复工程、绿色空间与景观格局优化建设等方面提出针对性景观生态规划建议。
【Objective】This study aimed to reveal the temporal and spatial evolution characteristics of watershed landscape ecological health, clarify its spatial differentiation and clustering, and provide targeted suggestions and theoretical references for the conservation and sustainable development of watershed landscape ecological resources.【Method】Based on landscape ecological structure, process and function, this study constructed a landscape ecological health evaluation index system. The mixed model of analytic hierarchy process (AHP) and entropy weight method (EWM) were used to determine the index weight. Weighted overlay analysis, health rank transfer matrix, and exploratory spatial data analysis (ESDA), using ArcGIS 10.7 and GeoDa 1.14 platforms, were used to study the temporal and spatial evolution of ecological health and spatial correlations in the landscape of the Naolihe Basin in 2010 and 2018.【Result】Research shows that from 2010 to 2018, the Naolihe Basin landscape ecological comprehensive health index average dropped from 0.67 (level Ⅳ, sub-healthy) to 0.59 (level Ⅲ, moderately healthy). The transformation of landscape ecological health level was dominated by the transformation of adjacent levels. Among the transformation types, the stable type accounted for the largest proportion, whereas the improved type accounted for the smallest proportion. Compared with the improved type, the degraded type was 9.69% larger in proportion and 2 184.67 km2 larger in area, with only minor improvements in the northern part of Baoqing County, the majority of Jixian County, and the northeastern part of Youyi County. In 2010, the ecological health of the basin landscape showed strong spatial agglomeration, which was weakened in 2018, and spatial autocorrelation analysis showed the spatial location and scope of spatial differentiation and aggregation characteristics of landscape health in the basin from 2010 to 2018.【Conclusion】The spatial distribution of the landscape ecological health index in the Naolihe Basin was generally high in the east and low in the west during both periods, and the study area as a whole showed a pattern of improvement in the west and degradation in the east and southwest. According to the different spatial autocorrelation transfer types of landscape ecological health in the study area from 2010 to 2018, targeted landscape ecological planning suggestions were proposed, including ecological land protection, soil and water conservation, land development and building land control, ecological restoration projects, green space and landscape pattern optimization construction.
landscape ecological health / spatial autocorrelation / evaluation system / Naolihe Basin
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