Huiqian Yu , Nan Lu , Bojie Fu , Lu Zhang , Shufen Pan
{"title":"中国林地植被承载力:基于卫星观测的近实时监测和短期预报","authors":"Huiqian Yu , Nan Lu , Bojie Fu , Lu Zhang , Shufen Pan","doi":"10.1016/j.geosus.2024.04.005","DOIUrl":null,"url":null,"abstract":"<div><p>Ecological restoration projects implemented over the past 20 years have substantially increased forest coverage in China, but the high tree mortality of new afforestation forest remains a challenging but unsolved problem. It is still not clear how much vegetation can be sustained by the forest lands with given water, energy and soil conditions, i.e., the carrying capacity for vegetation (CCV) of forest lands, which is the prerequisite for planning and implementing forest restoration projects. Here, we used a simplified method to evaluate the CCV across forest lands nationwide. Specifically, based on leaf area index (LAI) dataset, we use boosted regression tree and multiple linear regression model to analyze the CCV during 2001–2020 and 2021–2030 and explore the contribution of environmental factors. We find that there are three typical regions with lower CCV located in the Loess Plateau and the southern region of the Inner Mongolia Plateau, the Hengduan Mountain region, and the Tianshan Mountains. More importantly, the vegetation in the regions near the dry-wet climate transition zone show excess local carrying capacity for vegetation over the past two decades and they are more susceptible to potential climatic stress. In comparison, in the Greater Khingan Mountains and Hengduan Mountains, there is high potential to improve the forest growth. Temperature, precipitation and soil affects the CCV by shaping the vegetation in the optimal range. This indicates that more consideration should be given to restrictions of regional environmental constraints when planning afforestation and forest management. This study has important implications for guiding future forest scheme in China.</p></div>","PeriodicalId":52374,"journal":{"name":"Geography and Sustainability","volume":"5 3","pages":"Pages 415-429"},"PeriodicalIF":8.0000,"publicationDate":"2024-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666683924000397/pdfft?md5=cc1e19a099d9f17f18abb448e4430f8a&pid=1-s2.0-S2666683924000397-main.pdf","citationCount":"0","resultStr":"{\"title\":\"The carrying capacity for vegetation of forest land across China: Near real-time monitoring and short-term forecasting based on satellite observation\",\"authors\":\"Huiqian Yu , Nan Lu , Bojie Fu , Lu Zhang , Shufen Pan\",\"doi\":\"10.1016/j.geosus.2024.04.005\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Ecological restoration projects implemented over the past 20 years have substantially increased forest coverage in China, but the high tree mortality of new afforestation forest remains a challenging but unsolved problem. It is still not clear how much vegetation can be sustained by the forest lands with given water, energy and soil conditions, i.e., the carrying capacity for vegetation (CCV) of forest lands, which is the prerequisite for planning and implementing forest restoration projects. Here, we used a simplified method to evaluate the CCV across forest lands nationwide. Specifically, based on leaf area index (LAI) dataset, we use boosted regression tree and multiple linear regression model to analyze the CCV during 2001–2020 and 2021–2030 and explore the contribution of environmental factors. We find that there are three typical regions with lower CCV located in the Loess Plateau and the southern region of the Inner Mongolia Plateau, the Hengduan Mountain region, and the Tianshan Mountains. More importantly, the vegetation in the regions near the dry-wet climate transition zone show excess local carrying capacity for vegetation over the past two decades and they are more susceptible to potential climatic stress. In comparison, in the Greater Khingan Mountains and Hengduan Mountains, there is high potential to improve the forest growth. Temperature, precipitation and soil affects the CCV by shaping the vegetation in the optimal range. This indicates that more consideration should be given to restrictions of regional environmental constraints when planning afforestation and forest management. This study has important implications for guiding future forest scheme in China.</p></div>\",\"PeriodicalId\":52374,\"journal\":{\"name\":\"Geography and Sustainability\",\"volume\":\"5 3\",\"pages\":\"Pages 415-429\"},\"PeriodicalIF\":8.0000,\"publicationDate\":\"2024-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666683924000397/pdfft?md5=cc1e19a099d9f17f18abb448e4430f8a&pid=1-s2.0-S2666683924000397-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Geography and Sustainability\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666683924000397\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"GEOGRAPHY, PHYSICAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Geography and Sustainability","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666683924000397","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOGRAPHY, PHYSICAL","Score":null,"Total":0}
The carrying capacity for vegetation of forest land across China: Near real-time monitoring and short-term forecasting based on satellite observation
Ecological restoration projects implemented over the past 20 years have substantially increased forest coverage in China, but the high tree mortality of new afforestation forest remains a challenging but unsolved problem. It is still not clear how much vegetation can be sustained by the forest lands with given water, energy and soil conditions, i.e., the carrying capacity for vegetation (CCV) of forest lands, which is the prerequisite for planning and implementing forest restoration projects. Here, we used a simplified method to evaluate the CCV across forest lands nationwide. Specifically, based on leaf area index (LAI) dataset, we use boosted regression tree and multiple linear regression model to analyze the CCV during 2001–2020 and 2021–2030 and explore the contribution of environmental factors. We find that there are three typical regions with lower CCV located in the Loess Plateau and the southern region of the Inner Mongolia Plateau, the Hengduan Mountain region, and the Tianshan Mountains. More importantly, the vegetation in the regions near the dry-wet climate transition zone show excess local carrying capacity for vegetation over the past two decades and they are more susceptible to potential climatic stress. In comparison, in the Greater Khingan Mountains and Hengduan Mountains, there is high potential to improve the forest growth. Temperature, precipitation and soil affects the CCV by shaping the vegetation in the optimal range. This indicates that more consideration should be given to restrictions of regional environmental constraints when planning afforestation and forest management. This study has important implications for guiding future forest scheme in China.
期刊介绍:
Geography and Sustainability serves as a central hub for interdisciplinary research and education aimed at promoting sustainable development from an integrated geography perspective. By bridging natural and human sciences, the journal fosters broader analysis and innovative thinking on global and regional sustainability issues.
Geography and Sustainability welcomes original, high-quality research articles, review articles, short communications, technical comments, perspective articles and editorials on the following themes:
Geographical Processes: Interactions with and between water, soil, atmosphere and the biosphere and their spatio-temporal variations;
Human-Environmental Systems: Interactions between humans and the environment, resilience of socio-ecological systems and vulnerability;
Ecosystem Services and Human Wellbeing: Ecosystem structure, processes, services and their linkages with human wellbeing;
Sustainable Development: Theory, practice and critical challenges in sustainable development.