A physiological analogy of the niche for projecting the potential distribution of plants

被引:65
作者
Higgins, Steven I. [1 ]
O'Hara, Robert B. [2 ]
Bykova, Olga [3 ]
Cramer, Michael D. [4 ]
Chuine, Isabelle [5 ]
Gerstner, Eva-Maria [2 ]
Hickler, Thomas [1 ,2 ]
Morin, Xavier [5 ,6 ]
Kearney, Michael R. [7 ]
Midgley, Guy F. [8 ]
Scheiter, Simon [2 ]
机构
[1] Goethe Univ Frankfurt, Inst Phys Geog, D-60438 Frankfurt, Germany
[2] Senckenberg Gesell Nat Forsch, Biodiversitat & Klima Forschungszentrum BiK F, D-60325 Frankfurt, Germany
[3] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON M5S 3B2, Canada
[4] Univ Cape Town, Dept Bot, ZA-7701 Rondebosch, South Africa
[5] CNRS, Ctr Ecol Fonct & Evolut, F-34293 Montpellier 05, France
[6] ETH, Inst Terr Ecosyst, Dept Environm Sci, CH-8092 Zurich, Switzerland
[7] Univ Melbourne, Dept Zool, Melbourne, Vic 3010, Australia
[8] S African Natl Biodivers Inst, Climate Change Res Grp, Kirstenbosch Res Ctr, ZA-7735 Cape Town, South Africa
关键词
Climate envelope modelling; European tree species; indirect statistical methods; mechanistic niche model; niche; physiological model; species distribution model; Thornley transport resistance; SPECIES DISTRIBUTION; TEMPERATURE RESPONSE; DISTRIBUTION MODELS; BIOCHEMICAL-MODEL; PREDICTION ERRORS; PHOTOSYNTHESIS; NITROGEN; C-3; EUROPE; ROOT;
D O I
10.1111/j.1365-2699.2012.02752.x
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
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 TTRs 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: 0.790.964). 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.
引用
收藏
页码:2132 / 2145
页数:14
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