Kelly Antunes, Pedro Manuel Villa, Nina Caldeira, José Hugo Campos Ribeiro, Lucas Deziderio Santana, Fabrício Alvim Carvalho
{"title":"大型树木和海拔对巴西大西洋云雾林地上碳储量的影响:基于碳超优势分类群的研究","authors":"Kelly Antunes, Pedro Manuel Villa, Nina Caldeira, José Hugo Campos Ribeiro, Lucas Deziderio Santana, Fabrício Alvim Carvalho","doi":"10.1016/j.scitotenv.2025.178448","DOIUrl":null,"url":null,"abstract":"<p><p>Research about patterns of aboveground carbon stock (AGC) across different tropical forest types is central to climate change mitigation efforts. However, the aboveground carbon stock (AGC) quantification for Brazilian cloud forest ecosystems along the altitudinal gradient is still scarce. We aimed to evaluate the effects of abiotic and biotic on AGC and the AGC distribution between species and families of tree communities along an altitudinal Brazilian Atlantic cloud forest gradient of the Mantiqueira Mountain Range, Southeastern Brazil. We analyzed the relationships between AGC and biotic (taxonomic and functional diversity based on structural attributes) and abiotic factors (altitude and soil properties) across seventy plots (10 × 20 m) distributed in seven cloud forest sites at different elevations (from 1.100 to 2.330 m a.s.l.) using linear mixed models and machine learning approaches. We found significant variations in AGC stock along the altitudinal gradient, which was explained mainly by altitude and large-sized trees. We observed that approximately 5 % of the total sampled individuals were responsible for >50 % of the AGC stock of the tree community in the different sites. This result demonstrates how carbon-dominant tree species' have a higher relative contribution to the AGC at community level than species richness and abundance. The Myrtaceae was the most species-rich and carbon-dominant family, which holds four of the total hyperdominant species in the study region. This study reveals new and important ecological patterns of AGC stock in Southeastern Brazil's cloud forest tree communities, where large-sized trees and altitude are the main biotic and abiotic factors, respectively. These insights enhance our understanding of AGC stock in these unique forest ecosystems and emphasize the need for targeted conservation strategies that protect dominant species and their habitats.</p>","PeriodicalId":422,"journal":{"name":"Science of the Total Environment","volume":"962 ","pages":"178448"},"PeriodicalIF":8.2000,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Large-sized trees and altitude drive aboveground carbon stock in Brazilian Atlantic Cloud Forests: An approach based on carbon hyperdominant taxa.\",\"authors\":\"Kelly Antunes, Pedro Manuel Villa, Nina Caldeira, José Hugo Campos Ribeiro, Lucas Deziderio Santana, Fabrício Alvim Carvalho\",\"doi\":\"10.1016/j.scitotenv.2025.178448\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Research about patterns of aboveground carbon stock (AGC) across different tropical forest types is central to climate change mitigation efforts. However, the aboveground carbon stock (AGC) quantification for Brazilian cloud forest ecosystems along the altitudinal gradient is still scarce. We aimed to evaluate the effects of abiotic and biotic on AGC and the AGC distribution between species and families of tree communities along an altitudinal Brazilian Atlantic cloud forest gradient of the Mantiqueira Mountain Range, Southeastern Brazil. We analyzed the relationships between AGC and biotic (taxonomic and functional diversity based on structural attributes) and abiotic factors (altitude and soil properties) across seventy plots (10 × 20 m) distributed in seven cloud forest sites at different elevations (from 1.100 to 2.330 m a.s.l.) using linear mixed models and machine learning approaches. We found significant variations in AGC stock along the altitudinal gradient, which was explained mainly by altitude and large-sized trees. We observed that approximately 5 % of the total sampled individuals were responsible for >50 % of the AGC stock of the tree community in the different sites. This result demonstrates how carbon-dominant tree species' have a higher relative contribution to the AGC at community level than species richness and abundance. The Myrtaceae was the most species-rich and carbon-dominant family, which holds four of the total hyperdominant species in the study region. This study reveals new and important ecological patterns of AGC stock in Southeastern Brazil's cloud forest tree communities, where large-sized trees and altitude are the main biotic and abiotic factors, respectively. These insights enhance our understanding of AGC stock in these unique forest ecosystems and emphasize the need for targeted conservation strategies that protect dominant species and their habitats.</p>\",\"PeriodicalId\":422,\"journal\":{\"name\":\"Science of the Total Environment\",\"volume\":\"962 \",\"pages\":\"178448\"},\"PeriodicalIF\":8.2000,\"publicationDate\":\"2025-01-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Science of the Total Environment\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://doi.org/10.1016/j.scitotenv.2025.178448\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/1/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Science of the Total Environment","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.1016/j.scitotenv.2025.178448","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/14 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
Large-sized trees and altitude drive aboveground carbon stock in Brazilian Atlantic Cloud Forests: An approach based on carbon hyperdominant taxa.
Research about patterns of aboveground carbon stock (AGC) across different tropical forest types is central to climate change mitigation efforts. However, the aboveground carbon stock (AGC) quantification for Brazilian cloud forest ecosystems along the altitudinal gradient is still scarce. We aimed to evaluate the effects of abiotic and biotic on AGC and the AGC distribution between species and families of tree communities along an altitudinal Brazilian Atlantic cloud forest gradient of the Mantiqueira Mountain Range, Southeastern Brazil. We analyzed the relationships between AGC and biotic (taxonomic and functional diversity based on structural attributes) and abiotic factors (altitude and soil properties) across seventy plots (10 × 20 m) distributed in seven cloud forest sites at different elevations (from 1.100 to 2.330 m a.s.l.) using linear mixed models and machine learning approaches. We found significant variations in AGC stock along the altitudinal gradient, which was explained mainly by altitude and large-sized trees. We observed that approximately 5 % of the total sampled individuals were responsible for >50 % of the AGC stock of the tree community in the different sites. This result demonstrates how carbon-dominant tree species' have a higher relative contribution to the AGC at community level than species richness and abundance. The Myrtaceae was the most species-rich and carbon-dominant family, which holds four of the total hyperdominant species in the study region. This study reveals new and important ecological patterns of AGC stock in Southeastern Brazil's cloud forest tree communities, where large-sized trees and altitude are the main biotic and abiotic factors, respectively. These insights enhance our understanding of AGC stock in these unique forest ecosystems and emphasize the need for targeted conservation strategies that protect dominant species and their habitats.
期刊介绍:
The Science of the Total Environment is an international journal dedicated to scientific research on the environment and its interaction with humanity. It covers a wide range of disciplines and seeks to publish innovative, hypothesis-driven, and impactful research that explores the entire environment, including the atmosphere, lithosphere, hydrosphere, biosphere, and anthroposphere.
The journal's updated Aims & Scope emphasizes the importance of interdisciplinary environmental research with broad impact. Priority is given to studies that advance fundamental understanding and explore the interconnectedness of multiple environmental spheres. Field studies are preferred, while laboratory experiments must demonstrate significant methodological advancements or mechanistic insights with direct relevance to the environment.