首页 | 本学科首页   官方微博 | 高级检索  
     


A physiological analogy of the niche for projecting the potential distribution of plants
Authors:Steven I. Higgins  Robert B. O’Hara  Olga Bykova  Michael D. Cramer  Isabelle Chuine  Eva‐Maria Gerstner  Thomas Hickler  Xavier Morin  Michael R. Kearney  Guy F. Midgley  Simon Scheiter
Affiliation:1. Institut für Physische Geographie, Goethe Universit?t Frankfurt am Main, 60438 Frankfurt am Main, Germany;2. Biodiversit?t und Klima Forschungszentrum (BiK‐F), Senckenberg Gesellschaft für Naturforschung, 60325 Frankfurt am Main, Germany;3. Department of Ecology and Evolutionary Biology, University of Toronto, Toronto, ON M5S 3B2, Canada;4. Department of Botany, University of Cape Town, Rondebosch 7701, South Africa;5. Centre d’Ecologie Fonctionnelle et Evolutive — CNRS, 34293 Montpellier Cedex 05, France;6. Department of Environmental Sciences, Forest Ecology, Institute of Terrestrial Ecosystems, ETH Zürich, 8092 Zürich, Switzerland;7. Department of Zoology, The University of Melbourne, Melbourne, Vic. 3010, Australia;8. Climate Change Research Group, Kirstenbosch Research Centre, South African National Biodiversity Institute, Claremont, Cape Town 7735, South Africa
Abstract:Aim  To develop a physiologically based model of the plant niche for use in species distribution modelling. Location  Europe. Methods  We link the Thornley transport resistance (TTR) model with functions which describe how the TTR’s model parameters are influenced by abiotic environmental factors. The TTR model considers how carbon and nutrient uptake, and the allocation of these assimilates, influence growth. We use indirect statistical methods to estimate the model parameters from a high resolution data set on tree distribution for 22 European tree species. Results  We infer, from distribution data and abiotic forcing data, the physiological niche dimensions of 22 European tree species. We found that the model fits were reasonable (AUC: 0.79–0.964). The projected distributions were characterized by a false positive rate of 0.19 and a false negative rate 0.12. The fitted models are used to generate projections of the environmental factors that limit the range boundaries of the study species. Main conclusions  We show that physiological models can be used to derive physiological niche dimensions from species distribution data. Future work should focus on including prior information on physiological rates into the parameter estimation process. Application of the TTR model to species distribution modelling suggests new avenues for establishing explicit links between distribution and physiology, and for generating hypotheses about how ecophysiological processes influence the distribution of plants.
Keywords:Climate envelope modelling  European tree species  indirect statistical methods  mechanistic niche model  niche  physiological model  species distribution model  Thornley transport resistance
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号