土地利用变化对湿地生态网络结构与功能变化的影响

Bin Kim, Jeryang Park
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引用次数: 0

摘要

湿地提供各种生态服务,已被视为一种重要的基于自然的解决方案,例如,可持续改善水质和缓冲气候变化的影响。虽然人们已经认识到保护湿地对于减少各种扰动(如土地利用、气候和水文变化)的影响的重要性,但在宏观尺度(如景观)上将这些努力作为基于自然的解决方案加以应用的可能性还不够。在本研究中,我们考察了生态网络分析提供工程解决方案作为基于自然的解决方案的可能性。具体而言,我们利用多种假设栖息物种在湿地景观中分散模型生成的生态网络,分析了土地利用变化如何影响生态网络的结构和功能特征(连通性、网络效率和聚类系数)。在土地利用变化发生的区域,通过同时去除湿地,并设置两个初始条件,分析生态网络特征的变化。我们设置了四个不同湿地密度的土地利用变化带。结果表明,去除高湿地密度区域的湿地后,平均程度和网络效率显著降低,且在含有枢纽(高湿地密度节点)的区域中,这种现象更为明显。另一方面,我们观察到聚类系数增加。我们提出了我们的方法来评估土地利用变化对生态网络的影响,并对中间性中心性进行了额外的分析,我们期望它可以为创造替代湿地提供基于自然的工程解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Evaluation of Structural and Functional Changes of Ecological Networks by Land Use Change in a Wetlandscape
Wetlands, which provide various ecological services, have been regarded as an important nature-based solution for, for example, sustainable water quality improvement and buffering of impacts from climate change. Although the importance of conserving wetlands to reduce the impacts of various perturbations (e.g., changes of land use, climate, and hydrology) has been acknowledged, the possibility of applying these efforts as a nature-based solution in a macro-scale (e.g., landscape) has been insufficient. In this study, we examine the possibility of ecological network analysis that provides an engineering solution as a nature-based solution. Specifically, we analyzed how land use change affects the structural and functional characteristics (connectivity, network efficiency, and clustering coefficient) of the ecological networks by using the ecological networks generated by multiple dispersal models of the hypothetical inhabiting species in wetlandscape. Changes in ecological network characteristics were analyzed through simultaneously removing wetlands, with two initial conditions for surface area, in the zones where land use change occurs. We set a total number of four zones of land use change with different wetland densities. All analyses showed that mean degree and network efficiency were significantly reduced when wetlands in the zones with high wetland density were removed, and this phenomenon was intensified especially when zones contained hubs (nodes with high degree). On the other hand, we observed the clustering coefficient to increase. We suggest our approach for assessing the impacts of land use change on ecological networks, and with additional analysis on betweenness centrality, we expect it can provide a nature-based engineering solution for creating alternative wetlands.
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