The importance of biotic interactions for modelling species distributions under climate change

被引:904
作者
Araujo, Miguel B.
Luoto, Miska
机构
[1] CSIC, Museo Nacl Ciencias Nat, Dept Biodiversidad & Biol Evolut, E-28006 Madrid, Spain
[2] Oulu Univ, Thule Inst, FIN-90014 Oulu, Finland
来源
GLOBAL ECOLOGY AND BIOGEOGRAPHY | 2007年 / 16卷 / 06期
关键词
bioclimatic envelope models; climate change; cross-validation; clouded Apollo butterfly; Europe; macroecology; Parnassius mnemosyne; sensitivity analysis; uncertainty;
D O I
10.1111/j.1466-8238.2007.00359.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 There is a debate as to whether biotic interactions exert a dominant role in governing species distributions at macroecological scales. The prevailing idea is that climate is the key limiting factor; thus models that use present-day climate-species range relationships are expected to provide reasonable means to quantify the impacts of climate change on species distributions. However, there is little empirical evidence that biotic interactions would not constrain species distributions at macroecological scales. We examine this idea, for the first time, and provide tests for two null hypotheses: (H-0 1) - biotic interactions do not exert a significant role in explaining current distributions of a particular species of butterfly (clouded Apollo, Parnassius mnemosyne) in Europe; and (H-0 2) - biotic interactions do not exert a significant role in predictions of altered species' ranges under climate change. Location Europe. Methods Generalized additive modelling (GAM) was used to investigate relationships between species and climate; species and host plants; and species and climate + host plants. Because models are sensitive to the variable selection strategies utilised, four alternative approaches were used: AIC (Akaike's Information Criterion), BIC (Bayesian Information Criterion), BRUTO (Adaptive Backfitting), and CROSS (Cross Selection). Results In spite of the variation in the variables selected with different methods, both hypotheses (H-0 1 and H-0 2) were falsified, providing support for the proposition that biotic interactions significantly affect both the explanatory and predictive power of bioclimatic envelope models at macro scales. Main conclusions Our results contradict the widely held view that the effects of biotic interactions on individual species distributions are not discernible at macroecological scales. Results are contingent on the species, type of interaction and methods considered, but they call for more stringent evidence in support of the idea that purely climate-based modelling would be sufficient to quantify the impacts of climate change on species distributions.
引用
收藏
页码:743 / 753
页数:11
相关论文
共 64 条
[31]   Model selection in ecology and evolution [J].
Johnson, JB ;
Omland, KS .
TRENDS IN ECOLOGY & EVOLUTION, 2004, 19 (02) :101-108
[32]   Spatial segregation of specialists and generalists in bird communities [J].
Julliard, Romain ;
Clavel, Joanne ;
Devictor, Vincent ;
Jiguet, Frederic ;
Couvet, Denis .
ECOLOGY LETTERS, 2006, 9 (11) :1237-1244
[33]   Simulated climate change altered dominance hierarchies and diversity of an alpine biodiversity hotspot [J].
Klanderud, K ;
Totland, O .
ECOLOGY, 2005, 86 (08) :2047-2054
[34]  
Kudrna O., 1985, BUTTERFLIES EUROPE
[35]  
Lahti Tapani, 1999, Acta Botanica Fennica, V162, P5
[36]  
Leathwick J. R., 2002, BIODIVERS CONSERV, V11, P2117
[37]  
Leathwick JR, 2001, ECOLOGY, V82, P2560, DOI 10.1890/0012-9658(2001)082[2560:CIBTSI]2.0.CO
[38]  
2
[39]   GRASP: generalized regression analysis and spatial prediction (vol 157, pg 189, 2002) [J].
Lehmann, A ;
Overton, JM ;
Leathwick, JR .
ECOLOGICAL MODELLING, 2003, 160 (1-2) :165-+
[40]   Selecting thresholds of occurrence in the prediction of species distributions [J].
Liu, CR ;
Berry, PM ;
Dawson, TP ;
Pearson, RG .
ECOGRAPHY, 2005, 28 (03) :385-393