{"title":"冠层结构与生物群系最大光能利用效率呈线性和非线性关系","authors":"Hamid Dashti, Min Chen, Dalei Hao, Xi Yang","doi":"10.1111/ele.70142","DOIUrl":null,"url":null,"abstract":"<p>Maximum light use efficiency (ε<sub>max</sub>) represents a plant's capacity to convert light into carbon during photosynthesis. Although prior studies have explored ε<sub>max</sub> variations between sunlit and shaded leaves or its temporal ties to canopy structure, the spatial relationship between biome-level ε<sub>max</sub> (ε<sub>biome</sub>) and biome structure remains poorly understood. We analysed data from 320 eddy covariance sites (~855 site-years) with satellite-derived near-infrared reflectance of vegetation (NIRv) and leaf area index (LAI). We introduced NIRvN (NIRv/LAI) to isolate architectural effects from leaf quantity. Site-level ε<sub>max</sub> was calculated and aggregated by biome to derive ε<sub>biome</sub>. Results show ε<sub>biome</sub> rises nonlinearly with NIRv and LAI, saturating at high LAI, with crops and tropical evergreen forests deviating from this trend. Conversely, ε<sub>biome</sub> decreases linearly with increasing NIRvN, indicating that biomes with greater NIR scattering efficiency exhibit lower ε<sub>biome</sub>. These results enhance understanding of structural influences on carbon uptake across global biomes.</p>","PeriodicalId":161,"journal":{"name":"Ecology Letters","volume":"28 6","pages":""},"PeriodicalIF":7.9000,"publicationDate":"2025-06-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ele.70142","citationCount":"0","resultStr":"{\"title\":\"Canopy Structure Exhibits Linear and Nonlinear Links to Biome-Level Maximum Light Use Efficiency\",\"authors\":\"Hamid Dashti, Min Chen, Dalei Hao, Xi Yang\",\"doi\":\"10.1111/ele.70142\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>Maximum light use efficiency (ε<sub>max</sub>) represents a plant's capacity to convert light into carbon during photosynthesis. Although prior studies have explored ε<sub>max</sub> variations between sunlit and shaded leaves or its temporal ties to canopy structure, the spatial relationship between biome-level ε<sub>max</sub> (ε<sub>biome</sub>) and biome structure remains poorly understood. We analysed data from 320 eddy covariance sites (~855 site-years) with satellite-derived near-infrared reflectance of vegetation (NIRv) and leaf area index (LAI). We introduced NIRvN (NIRv/LAI) to isolate architectural effects from leaf quantity. Site-level ε<sub>max</sub> was calculated and aggregated by biome to derive ε<sub>biome</sub>. Results show ε<sub>biome</sub> rises nonlinearly with NIRv and LAI, saturating at high LAI, with crops and tropical evergreen forests deviating from this trend. Conversely, ε<sub>biome</sub> decreases linearly with increasing NIRvN, indicating that biomes with greater NIR scattering efficiency exhibit lower ε<sub>biome</sub>. These results enhance understanding of structural influences on carbon uptake across global biomes.</p>\",\"PeriodicalId\":161,\"journal\":{\"name\":\"Ecology Letters\",\"volume\":\"28 6\",\"pages\":\"\"},\"PeriodicalIF\":7.9000,\"publicationDate\":\"2025-06-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/ele.70142\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Ecology Letters\",\"FirstCategoryId\":\"93\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1111/ele.70142\",\"RegionNum\":1,\"RegionCategory\":\"环境科学与生态学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ecology Letters","FirstCategoryId":"93","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1111/ele.70142","RegionNum":1,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECOLOGY","Score":null,"Total":0}
Canopy Structure Exhibits Linear and Nonlinear Links to Biome-Level Maximum Light Use Efficiency
Maximum light use efficiency (εmax) represents a plant's capacity to convert light into carbon during photosynthesis. Although prior studies have explored εmax variations between sunlit and shaded leaves or its temporal ties to canopy structure, the spatial relationship between biome-level εmax (εbiome) and biome structure remains poorly understood. We analysed data from 320 eddy covariance sites (~855 site-years) with satellite-derived near-infrared reflectance of vegetation (NIRv) and leaf area index (LAI). We introduced NIRvN (NIRv/LAI) to isolate architectural effects from leaf quantity. Site-level εmax was calculated and aggregated by biome to derive εbiome. Results show εbiome rises nonlinearly with NIRv and LAI, saturating at high LAI, with crops and tropical evergreen forests deviating from this trend. Conversely, εbiome decreases linearly with increasing NIRvN, indicating that biomes with greater NIR scattering efficiency exhibit lower εbiome. These results enhance understanding of structural influences on carbon uptake across global biomes.
期刊介绍:
Ecology Letters serves as a platform for the rapid publication of innovative research in ecology. It considers manuscripts across all taxa, biomes, and geographic regions, prioritizing papers that investigate clearly stated hypotheses. The journal publishes concise papers of high originality and general interest, contributing to new developments in ecology. Purely descriptive papers and those that only confirm or extend previous results are discouraged.