{"title":"Mapping ecological resource use and supply-consumption difference in China from 2000 to 2020","authors":"","doi":"10.1016/j.resconrec.2024.107879","DOIUrl":null,"url":null,"abstract":"<div><p>Net primary production (NPP) is a vital ecological resource essential for ecosystem services and economic development. Human appropriation of NPP (HANPP) measures the aggregate impact of human activities on the biomass produced annually in ecosystems. However, the coarse mapping of HANPP hinders the identification of the spatial dynamics in ecological resources use and the high-pressure areas. Using machine learning, our study annually mapped China’s HANPP at 1 km resolution due to grain, wood and animal production as well as land use changes from 2000 to 2020. High-pressure ecological resource zones expanded, primarily due to livestock farming. The pressure of ecological resources varied along the longitudinal axis. Ecological resource use is generally low in poverty areas. The spatial patterns of the supply-consumption difference of the ecological resources were also mapped, reflecting the spatial flows of ecological resources from poverty areas to non-poverty areas. This promotes the sustainable development in both areas.</p></div>","PeriodicalId":21153,"journal":{"name":"Resources Conservation and Recycling","volume":null,"pages":null},"PeriodicalIF":11.2000,"publicationDate":"2024-08-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resources Conservation and Recycling","FirstCategoryId":"93","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0921344924004725","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ENVIRONMENTAL","Score":null,"Total":0}
引用次数: 0
Abstract
Net primary production (NPP) is a vital ecological resource essential for ecosystem services and economic development. Human appropriation of NPP (HANPP) measures the aggregate impact of human activities on the biomass produced annually in ecosystems. However, the coarse mapping of HANPP hinders the identification of the spatial dynamics in ecological resources use and the high-pressure areas. Using machine learning, our study annually mapped China’s HANPP at 1 km resolution due to grain, wood and animal production as well as land use changes from 2000 to 2020. High-pressure ecological resource zones expanded, primarily due to livestock farming. The pressure of ecological resources varied along the longitudinal axis. Ecological resource use is generally low in poverty areas. The spatial patterns of the supply-consumption difference of the ecological resources were also mapped, reflecting the spatial flows of ecological resources from poverty areas to non-poverty areas. This promotes the sustainable development in both areas.
期刊介绍:
The journal Resources, Conservation & Recycling welcomes contributions from research, which consider sustainable management and conservation of resources. The journal prioritizes understanding the transformation processes crucial for transitioning toward more sustainable production and consumption systems. It highlights technological, economic, institutional, and policy aspects related to specific resource management practices such as conservation, recycling, and resource substitution, as well as broader strategies like improving resource productivity and restructuring production and consumption patterns.
Contributions may address regional, national, or international scales and can range from individual resources or technologies to entire sectors or systems. Authors are encouraged to explore scientific and methodological issues alongside practical, environmental, and economic implications. However, manuscripts focusing solely on laboratory experiments without discussing their broader implications will not be considered for publication in the journal.