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运用电路理论和景观格局指数识别和优化生态网络:以中国四川盆地为例。

Integrating circuit theory and landscape pattern index to identify and optimize ecological networks: a case study of the Sichuan Basin, China.

机构信息

College of Geography and Resources, Sichuan Normal University, Chengdu, 610101, China.

Key Laboratory of Land Resources Evaluation and Monitoring in Southwest, Ministry of Education, Sichuan Normal University, Chengdu, 610101, China.

出版信息

Environ Sci Pollut Res Int. 2022 Sep;29(44):66874-66887. doi: 10.1007/s11356-022-20383-y. Epub 2022 May 5.

DOI:10.1007/s11356-022-20383-y
PMID:35513614
Abstract

The notion of ecological networks (EN) and their identification can support approaches to nature conservation strategies aiming at biodiversity, landscape connectivity, and people's well-being. Integrating ecosystem services (ESs), morphological spatial pattern analysis (MSPA), circuit theory, and landscape pattern index analysis, we proposed a new framework for mapping EN that was expected to promote economic development and ecological protection. Specifically, source areas were extracted through a combination of ESs and MSPA that integrated functional and morphological spatial attributes. Resistance surfaces were determined based on habitat quality. A network linking ecological source areas was then identified using circuit theory, and landscape pattern index analysis was used to identify ecological strategy nodes in view of the heterogeneity within ecological corridors. The results showed that the Sichuan Basin involved 553 ecological sources, 641 ecological corridors, and 33 ecological nodes that altogether included 20 ecological strategy nodes. Constructing regional EN can promote the transformation of multiple, chaotic, and scattered ecological elements to systematic and networked ecological elements and ultimately promote harmonious coexistence between humans and nature. This study provided a methodology for the extraction of ecological source areas and strategy nodes and can provide a significant reference for the management and optimization of EN.

摘要

生态网络(EN)的概念及其识别可以支持旨在保护生物多样性、景观连通性和人类福祉的自然保护策略的方法。本研究整合了生态系统服务(ESs)、形态空间格局分析(MSPA)、电路理论和景观格局指数分析,提出了一种新的生态网络制图框架,以促进经济发展和生态保护。具体而言,通过将功能和形态空间属性相结合的 ESs 和 MSPA 提取源区,基于栖息地质量确定阻力表面。然后使用电路理论识别连接生态源区的网络,并考虑生态廊道内的异质性,使用景观格局指数分析识别生态策略节点。结果表明,四川盆地共有 553 个生态源、641 条生态廊道和 33 个生态节点,其中包括 20 个生态策略节点。构建区域 EN 可以促进多种、混乱和分散的生态要素向系统和网络化的生态要素的转化,最终促进人与自然的和谐共生。本研究为生态源区和策略节点的提取提供了一种方法,可为 EN 的管理和优化提供重要参考。

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