globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12440
Scopus记录号: 2-s2.0-84931575323
论文题名:
Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography
作者: Stark S.C.; Enquist B.J.; Saleska S.R.; Leitold V.; Schietti J.; Longo M.; Alves L.F.; Camargo P.B.; Oliveira R.C.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2015
卷: 18, 期:7
起始页码: 636
结束页码: 645
语种: 英语
英文关键词: Amazon forest ; Canopy plasticity ; Canopy structure ; Forest dynamics ; Leaf area profiles ; LiDAR ; Light competition ; Metabolic scaling theory ; Remote sensing ; Tree demography
Scopus关键词: canopy ; demography ; ecological modeling ; growth rate ; leaf area ; lidar ; light effect ; metabolism ; mortality ; remote sensing ; size distribution ; stand structure ; tropical forest ; Amazonia ; biological model ; Brazil ; forest ; growth, development and aging ; light ; plant leaf ; satellite imagery ; tree ; tropic climate ; Brazil ; Forests ; Light ; Models, Biological ; Plant Leaves ; Satellite Imagery ; Trees ; Tropical Climate
英文摘要: Forest biophysical structure - the arrangement and frequency of leaves and stems - emerges from growth, mortality and space filling dynamics, and may also influence those dynamics by structuring light environments. To investigate this interaction, we developed models that could use LiDAR remote sensing to link leaf area profiles with tree size distributions, comparing models which did not (metabolic scaling theory) and did allow light to influence this link. We found that a light environment-to-structure link was necessary to accurately simulate tree size distributions and canopy structure in two contrasting Amazon forests. Partitioning leaf area profiles into size-class components, we found that demographic rates were related to variation in light absorption, with mortality increasing relative to growth in higher light, consistent with a light environment feedback to size distributions. Combining LiDAR with models linking forest structure and demography offers a high-throughput approach to advance theory and investigate climate-relevant tropical forest change. © 2015 John Wiley & Sons Ltd/CNRS.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/107923
Appears in Collections:气候减缓与适应

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作者单位: Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States; Department of Forestry, Michigan State University, East Lansing, MI, United States; The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM, United States; Instituto Nacional de Pesquisas Espaciais (INPE), São José dos Campos, São Paulo, Brazil; Coordenação de Pesquisa em Biodiversidade, Instituto Nacional de Pesquisas da Amazônia (INPA), Manaus, Amazonas, Brazil; Faculty of Arts and Sciences, Harvard University, Cambridge, MA, United States; Centro de Pesquisa e Desenvolvimento de Recursos Genéticos Vegetais, Instituto Agronômico de Campinas (IAC), CP 28, Campinas, São Paulo, Brazil; Departamento de Biologia Vegetal, Universidade Estadual de Campinas (UNICAMP), CP 6109, Campinas, São Paulo, Brazil; Laboratório de Ecologia Isotópica, Centro de Energia Nuclear na Agricultura (CENA), Universidade de São Paulo, Piracicaba, São Paulo, Brazil; NAPT Médio Amazonas, Embrapa Amazônia Oriental, Santarém, Pará, Brazil

Recommended Citation:
Stark S.C.,Enquist B.J.,Saleska S.R.,et al. Linking canopy leaf area and light environments with tree size distributions to explain Amazon forest demography[J]. Ecology Letters,2015-01-01,18(7)
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