鄱阳湖国家级自然保护区珍稀鹤类生境适宜性及生态网络研究

IF 7 2区 环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES
Haifeng Xu , Bin Dong , Zhili Xu , Jinji Ma , Fei Shen
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引用次数: 0

摘要

鄱阳湖国家级自然保护区是鄱阳湖流域最重要的越冬候鸟保护区。分析珍稀鹤类生境的空间分布及其对环境变量的响应机制,对于鹤类物种和生境的保护与恢复具有重要意义。本研究重点研究了西北自然保护区珍稀鹤类,包括西伯利亚鹤(Grus leucogeranus)、白枕鹤(Grus monacha)、白枕鹤(Grus vipio)和普通鹤(Grus Grus)。基于发生数据和环境变量,采用最大熵(Maxent)模型分析了4种鹤的生境适宜性,并探讨了它们对关键环境变量的响应机制。利用电路理论和最小累积阻力模型,构建了4种鹤类的生态网络。研究结果表明:4种鹤的高度适宜生境主要分布在湖泊湿地边缘,面积为63.97 ~ 128.21 km2,占15.31% ~ 30.69%;不适宜区主要分布在武城镇和沿河流域,各不适宜区均超过25%。芦苇滩、泥滩、水域和耕地是影响鹤类生境的主要土地利用类型,贡献率为15.9% ~ 36.3%。此外,不同鹤种间的显著环境变量存在差异。对于西伯利亚鹤来说,关键因素包括离草地的距离、坡向和离水的距离。吊车主要受离水距离的影响。与草地、耕地和水道的距离对白枕鹤的影响显著。对普通起重机来说,离水距离和建设用地是主要的影响因素。在此基础上,构建了4种鹤的生态网络。规划的生态网络由9个生态源、13个生态廊道和27个生态节点组成。总体而言,规划鸟类保护区的生态网络建设优于鹤类个体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Study on habitat suitability and ecological network of rare cranes in Poyang Lake National Nature Reserve

Study on habitat suitability and ecological network of rare cranes in Poyang Lake National Nature Reserve
The Poyang Lake National Nature Reserve (PLNNR) is the most important reserve for wintering migratory birds in the Poyang Lake basin. The analysis of the spatial distribution of rare crane habitats and their response mechanisms to environmental variables is crucial for the conservation and restoration of both species and habitats. This study focuses on the rare crane species in the PLNNR, including Siberian Cranes (Grus leucogeranus), Hooded Cranes (Grus monacha), White-naped Cranes (Grus vipio) and Common Cranes (Grus grus). Based on occurrence data and environmental variables, the Maximum Entropy (Maxent) model was used to analyze the habitat suitability of the four crane species and to discuss their response mechanisms to key environmental variables. In addition, an ecological network was constructed for the four crane species using circuit theory and the Minimum Cumulative Resistance (MCR) model. The research results indicated that the highly suitable habitats for the four crane species were distributed along the edges of lake wetlands, with an area ranging from 63.97 to 128.21 km2, accounting for 15.31 to 30.69 %. The unsuitable areas were located in Wucheng town and along the waterways, with each area exceeding 25 %. Land use types, including reed beach, mudflat, waters, and cultivated land, were the main factors influencing crane habitat, with a contribution rate ranging from 15.9 to 36.3 %. In addition, the significant environmental variables varied among crane species. For the Siberian Crane, key factors included distance from grassland, aspect of slope, and distance from water. The Hooded Crane was primarily influenced by distance from water. The White-naped Crane was significantly affected by distance from grassland, cultivated land, and waterways. For the Common Crane, distance from water and construction land were the main influencing factors. Ecological networks were constructed for the four crane species and the PLNNR. The ecological network of the PLNNR consisted of 9 ecological sources, 13 ecological corridors, and 27 ecological nodes. Overall, the construction of the ecological network in the PLNNR was superior to that of individual crane species.
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来源期刊
Ecological Indicators
Ecological Indicators 环境科学-环境科学
CiteScore
11.80
自引率
8.70%
发文量
1163
审稿时长
78 days
期刊介绍: The ultimate aim of Ecological Indicators is to integrate the monitoring and assessment of ecological and environmental indicators with management practices. The journal provides a forum for the discussion of the applied scientific development and review of traditional indicator approaches as well as for theoretical, modelling and quantitative applications such as index development. Research into the following areas will be published. • All aspects of ecological and environmental indicators and indices. • New indicators, and new approaches and methods for indicator development, testing and use. • Development and modelling of indices, e.g. application of indicator suites across multiple scales and resources. • Analysis and research of resource, system- and scale-specific indicators. • Methods for integration of social and other valuation metrics for the production of scientifically rigorous and politically-relevant assessments using indicator-based monitoring and assessment programs. • How research indicators can be transformed into direct application for management purposes. • Broader assessment objectives and methods, e.g. biodiversity, biological integrity, and sustainability, through the use of indicators. • Resource-specific indicators such as landscape, agroecosystems, forests, wetlands, etc.
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