Haifeng Xu , Bin Dong , Zhili Xu , Jinji Ma , Fei Shen
{"title":"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","authors":"Haifeng Xu , Bin Dong , Zhili Xu , Jinji Ma , Fei Shen","doi":"10.1016/j.ecolind.2025.113480","DOIUrl":null,"url":null,"abstract":"<div><div>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 (<em>Grus leucogeranus</em>), Hooded Cranes (<em>Grus monacha</em>), White-naped Cranes (<em>Grus vipio</em>) and Common Cranes (<em>Grus grus</em>). 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 km<sup>2</sup>, 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.</div></div>","PeriodicalId":11459,"journal":{"name":"Ecological Indicators","volume":"174 ","pages":"Article 113480"},"PeriodicalIF":7.0000,"publicationDate":"2025-04-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Study on habitat suitability and ecological network of rare cranes in Poyang Lake National Nature Reserve\",\"authors\":\"Haifeng Xu , Bin Dong , Zhili Xu , Jinji Ma , Fei Shen\",\"doi\":\"10.1016/j.ecolind.2025.113480\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>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 (<em>Grus leucogeranus</em>), Hooded Cranes (<em>Grus monacha</em>), White-naped Cranes (<em>Grus vipio</em>) and Common Cranes (<em>Grus grus</em>). 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 km<sup>2</sup>, 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.</div></div>\",\"PeriodicalId\":11459,\"journal\":{\"name\":\"Ecological Indicators\",\"volume\":\"174 \",\"pages\":\"Article 113480\"},\"PeriodicalIF\":7.0000,\"publicationDate\":\"2025-04-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecological Indicators\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1470160X25004108\",\"RegionNum\":2,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecological Indicators","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1470160X25004108","RegionNum":2,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
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.
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.