Xiechen Song , Chang Liu , Chengcheng Zhang , Meng Wang
{"title":"基于复杂网络理论的三江并流地区森林碳储量生态空间网络","authors":"Xiechen Song , Chang Liu , Chengcheng Zhang , Meng Wang","doi":"10.1016/j.foreco.2025.122694","DOIUrl":null,"url":null,"abstract":"<div><div>This study employed a downscaling method to estimate forest carbon stocks in the region, combining morphological spatial pattern analysis (MSPA) and the minimum cumulative resistance (MCR) model to construct an ecological spatial network. Based on complex network theory, a coupled coordination analysis was conducted using the topology and carbon stocks of the network nodes to optimize the ecological network and analyzed the forest ecological network at a multiscale scale. The results revealed significant spatial heterogeneity in carbon sequestration, with higher concentrations predominantly located in the central and western regions of the Three Rivers area at elevated altitudes. The initial ecological network comprised 20 nodes and 47 corridors, revealing ecosystem interactions. Coupling coordination analysis identified 6 suboptimal nodes, prompting edge optimization that added 43 corridors and enhanced network stability. Multiscale analysis showed 3 overlapping ecological source areas across scales and 6 key corridors. Network metrics (closure, connectivity, complexity) decreased with increasing spatial scale, performing best at smaller scales. The optimized network demonstrated improved structural stability and connectivity while maintaining carbon sequestration functions. This integrated approach combining complex network theory with ecological analysis provides a scientific framework for sustainable forest management and regional carbon capture strategies. The methodology supports targeted ecological restoration by identifying priority conservation areas and connectivity pathways, offering practical insights for balancing ecosystem preservation with climate goals in ecologically fragile mountainous regions.</div></div>","PeriodicalId":12350,"journal":{"name":"Forest Ecology and Management","volume":"586 ","pages":"Article 122694"},"PeriodicalIF":3.7000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Ecospatial network of forest carbon stocks in three parallel rivers region based on complex network theory\",\"authors\":\"Xiechen Song , Chang Liu , Chengcheng Zhang , Meng Wang\",\"doi\":\"10.1016/j.foreco.2025.122694\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This study employed a downscaling method to estimate forest carbon stocks in the region, combining morphological spatial pattern analysis (MSPA) and the minimum cumulative resistance (MCR) model to construct an ecological spatial network. Based on complex network theory, a coupled coordination analysis was conducted using the topology and carbon stocks of the network nodes to optimize the ecological network and analyzed the forest ecological network at a multiscale scale. The results revealed significant spatial heterogeneity in carbon sequestration, with higher concentrations predominantly located in the central and western regions of the Three Rivers area at elevated altitudes. The initial ecological network comprised 20 nodes and 47 corridors, revealing ecosystem interactions. Coupling coordination analysis identified 6 suboptimal nodes, prompting edge optimization that added 43 corridors and enhanced network stability. Multiscale analysis showed 3 overlapping ecological source areas across scales and 6 key corridors. Network metrics (closure, connectivity, complexity) decreased with increasing spatial scale, performing best at smaller scales. The optimized network demonstrated improved structural stability and connectivity while maintaining carbon sequestration functions. This integrated approach combining complex network theory with ecological analysis provides a scientific framework for sustainable forest management and regional carbon capture strategies. The methodology supports targeted ecological restoration by identifying priority conservation areas and connectivity pathways, offering practical insights for balancing ecosystem preservation with climate goals in ecologically fragile mountainous regions.</div></div>\",\"PeriodicalId\":12350,\"journal\":{\"name\":\"Forest Ecology and Management\",\"volume\":\"586 \",\"pages\":\"Article 122694\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2025-04-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forest Ecology and Management\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0378112725002026\",\"RegionNum\":2,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"FORESTRY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forest Ecology and Management","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0378112725002026","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"FORESTRY","Score":null,"Total":0}
Ecospatial network of forest carbon stocks in three parallel rivers region based on complex network theory
This study employed a downscaling method to estimate forest carbon stocks in the region, combining morphological spatial pattern analysis (MSPA) and the minimum cumulative resistance (MCR) model to construct an ecological spatial network. Based on complex network theory, a coupled coordination analysis was conducted using the topology and carbon stocks of the network nodes to optimize the ecological network and analyzed the forest ecological network at a multiscale scale. The results revealed significant spatial heterogeneity in carbon sequestration, with higher concentrations predominantly located in the central and western regions of the Three Rivers area at elevated altitudes. The initial ecological network comprised 20 nodes and 47 corridors, revealing ecosystem interactions. Coupling coordination analysis identified 6 suboptimal nodes, prompting edge optimization that added 43 corridors and enhanced network stability. Multiscale analysis showed 3 overlapping ecological source areas across scales and 6 key corridors. Network metrics (closure, connectivity, complexity) decreased with increasing spatial scale, performing best at smaller scales. The optimized network demonstrated improved structural stability and connectivity while maintaining carbon sequestration functions. This integrated approach combining complex network theory with ecological analysis provides a scientific framework for sustainable forest management and regional carbon capture strategies. The methodology supports targeted ecological restoration by identifying priority conservation areas and connectivity pathways, offering practical insights for balancing ecosystem preservation with climate goals in ecologically fragile mountainous regions.
期刊介绍:
Forest Ecology and Management publishes scientific articles linking forest ecology with forest management, focusing on the application of biological, ecological and social knowledge to the management and conservation of plantations and natural forests. The scope of the journal includes all forest ecosystems of the world.
A peer-review process ensures the quality and international interest of the manuscripts accepted for publication. The journal encourages communication between scientists in disparate fields who share a common interest in ecology and forest management, bridging the gap between research workers and forest managers.
We encourage submission of papers that will have the strongest interest and value to the Journal''s international readership. Some key features of papers with strong interest include:
1. Clear connections between the ecology and management of forests;
2. Novel ideas or approaches to important challenges in forest ecology and management;
3. Studies that address a population of interest beyond the scale of single research sites, Three key points in the design of forest experiments, Forest Ecology and Management 255 (2008) 2022-2023);
4. Review Articles on timely, important topics. Authors are welcome to contact one of the editors to discuss the suitability of a potential review manuscript.
The Journal encourages proposals for special issues examining important areas of forest ecology and management. Potential guest editors should contact any of the Editors to begin discussions about topics, potential papers, and other details.