globalchange  > 气候减缓与适应
DOI: 10.1111/ele.12771
Scopus记录号: 2-s2.0-85018778716
论文题名:
Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient
作者: Fyllas N.M.; Bentley L.P.; Shenkin A.; Asner G.P.; Atkin O.K.; Díaz S.; Enquist B.J.; Farfan-Rios W.; Gloor E.; Guerrieri R.; Huasco W.H.; Ishida Y.; Martin R.E.; Meir P.; Phillips O.; Salinas N.; Silman M.; Weerasinghe L.K.; Zaragoza-Castells J.; Malhi Y.
刊名: Ecology Letters
ISSN: 1461023X
EISSN: 1461-0248
出版年: 2017
卷: 20, 期:6
起始页码: 730
结束页码: 740
语种: 英语
英文关键词: Andes ; climate ; functional traits ; global ecosystem monitoring ; modelling ; TFS ; tropical forests
Scopus关键词: ecosystem ; forest ; plant leaf ; tree ; tropic climate ; Ecosystem ; Forests ; Plant Leaves ; Trees ; Tropical Climate
英文摘要: One of the major challenges in ecology is to understand how ecosystems respond to changes in environmental conditions, and how taxonomic and functional diversity mediate these changes. In this study, we use a trait-spectra and individual-based model, to analyse variation in forest primary productivity along a 3.3 km elevation gradient in the Amazon-Andes. The model accurately predicted the magnitude and trends in forest productivity with elevation, with solar radiation and plant functional traits (leaf dry mass per area, leaf nitrogen and phosphorus concentration, and wood density) collectively accounting for productivity variation. Remarkably, explicit representation of temperature variation with elevation was not required to achieve accurate predictions of forest productivity, as trait variation driven by species turnover appears to capture the effect of temperature. Our semi-mechanistic model suggests that spatial variation in traits can potentially be used to estimate spatial variation in productivity at the landscape scale. © 2017 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/107616
Appears in Collections:气候减缓与适应

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作者单位: Environmental Change Institute, School of Geography and the Environment, University of Oxford, Oxford, United Kingdom; Department of Global Ecology, Carnegie Institution for Science, 260 Panama Street, Stanford, CA, United States; ARC Centre of Excellence in Plant Energy Biology, Research School of Biology, The Australian National University, Building 134, Canberra, ACT, Australia; Instituto Multidisciplinario de Biología Vegetal (IMBIV), CONICET and FCEFyN, Universidad Nacional de Córdoba, Casilla de Correo 495, Córdoba, Argentina; Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, United States; The Santa Fe Institute, 1399 Hyde Park Rd, Santa Fe, NM, United States; Department of Biology, Wake Forest University, Winston Salem, NC, United States; Ecology and Global Change, School of Geography, University of Leeds, Leeds, United Kingdom; Centre for Ecological Research and Forestry Applications (CREAF), Universidad Autonoma de Barcelona, Edificio C, Cerdanyola, Spain; School of Geosciences, University of Edinburgh, EH9 3FF, Edinburgh, United Kingdom; Universidad Nacional de San Antonio Abad del Cusco, 733 Avenida de la Cultura, Cusco, Peru; Centre for Tropical Environmental and Sustainability Science, College of Marine and Environmental Sciences, James Cook University, Cairns, QLD, Australia; Division of Plant Sciences, Research School of Biology, The Australian National University, Building 134, Canberra, ACT, Australia; Sección Química, Pontificia Universidad Católica del Perú, San Miguel, Lima, Peru; Faculty of Agriculture, University of Peradeniya, Peradeniya, Sri Lanka; Department Geography, College of Life and Environmental Sciences, University of Exeter, Amory Building, Exeter, United Kingdom

Recommended Citation:
Fyllas N.M.,Bentley L.P.,Shenkin A.,et al. Solar radiation and functional traits explain the decline of forest primary productivity along a tropical elevation gradient[J]. Ecology Letters,2017-01-01,20(6)
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