{"title":"Stand structure of tropical forests is strongly associated with primary productivity","authors":"Wenmin Zhang, Yanbiao Xi, Martin Brandt, Chunying Ren, Jialing Bai, Qin Ma, Rasmus Fensholt","doi":"10.1038/s43247-024-01984-6","DOIUrl":null,"url":null,"abstract":"Stand structure influences the distribution of light and water and thus affects the functioning of forest ecosystems. However, information on stand structure capturing both horizontal and vertical structures of forest canopies simultaneously is lacking. Here we use principal component analysis to derive a stand structural indicator (SSI) index based on four structural metrics derived from GEDI covering tropical forests and upscale the GEDI footprint-level SSI to a spatially continuous distribution using Sentinel-1&2 imagery. The majority of high SSI values representing higher forest height, density and diversity of canopy height, is found for all tropical forest areas in moist regions, natural forests, and regions with less fire activity. We show that SSI is positively correlated with primary productivity and that the sensitivity of productivity to SSI is larger in natural forests than in managed forests. Our results highlight synthesized stand structure information to support sustainable forest management and conservation. A strong link between stand structure and primary productivity is pervasively found in forests across the pantropical region, according to an analysis of GEDI lidar data and Sentinel remote sensing imagery.","PeriodicalId":10530,"journal":{"name":"Communications Earth & Environment","volume":" ","pages":"1-9"},"PeriodicalIF":8.1000,"publicationDate":"2024-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s43247-024-01984-6.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Communications Earth & Environment","FirstCategoryId":"93","ListUrlMain":"https://www.nature.com/articles/s43247-024-01984-6","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
Stand structure influences the distribution of light and water and thus affects the functioning of forest ecosystems. However, information on stand structure capturing both horizontal and vertical structures of forest canopies simultaneously is lacking. Here we use principal component analysis to derive a stand structural indicator (SSI) index based on four structural metrics derived from GEDI covering tropical forests and upscale the GEDI footprint-level SSI to a spatially continuous distribution using Sentinel-1&2 imagery. The majority of high SSI values representing higher forest height, density and diversity of canopy height, is found for all tropical forest areas in moist regions, natural forests, and regions with less fire activity. We show that SSI is positively correlated with primary productivity and that the sensitivity of productivity to SSI is larger in natural forests than in managed forests. Our results highlight synthesized stand structure information to support sustainable forest management and conservation. A strong link between stand structure and primary productivity is pervasively found in forests across the pantropical region, according to an analysis of GEDI lidar data and Sentinel remote sensing imagery.
期刊介绍:
Communications Earth & Environment is an open access journal from Nature Portfolio publishing high-quality research, reviews and commentary in all areas of the Earth, environmental and planetary sciences. Research papers published by the journal represent significant advances that bring new insight to a specialized area in Earth science, planetary science or environmental science.
Communications Earth & Environment has a 2-year impact factor of 7.9 (2022 Journal Citation Reports®). Articles published in the journal in 2022 were downloaded 1,412,858 times. Median time from submission to the first editorial decision is 8 days.