Modelling species distributions without using species distributions: the cane toad in Australia under current and future climates

被引:288
作者
Kearney, Michael [1 ]
Phillips, Ben L. [2 ]
Tracy, Christopher R. [3 ]
Christian, Keith A. [3 ]
Betts, Gregory [3 ]
Porter, Warren P. [4 ]
机构
[1] Univ Melbourne, Dept Zool, Melbourne, Vic 3010, Australia
[2] Univ Sydney, Sch Biol Sci AO8, Sydney, NSW 2006, Australia
[3] Charles Darwin Univ, Sch Sci & Primary Ind, Darwin, NT 0909, Australia
[4] Univ Wisconsin, Dept Zool, Madison, WI 53706 USA
关键词
D O I
10.1111/j.0906-7590.2008.05457.x
中图分类号
X176 [生物多样性保护];
学科分类号
090705 ;
摘要
Accurate predictions of the potential distribution of range-shifting species are required for effective management of invasive species, and for assessments of the impact of climate change on native species. Range-shifting species pose a challenge for traditional correlative approaches to range prediction, often requiring the extrapolation of complex statistical associations into novel environmental space. Here we take an alternative approach that does not use species occurrence data, but instead captures the fundamental niche of a species by mechanistically linking key organismal traits with spatial data using biophysical models. We demonstrate this approach with a major invasive species, the cane toad Bufo marinus in Australia, assessing the direct climatic constraints on its ability to move, survive, and reproduce. We show that the current range can be explained by thermal constraints on the locomotor potential of the adult stage together with limitations on the availability of water for the larval stage. Our analysis provides a framework for biologically grounded predictions of the potential for cane toads to expand their range under current and future climate scenarios. More generally, by quantifying spatial variation in physiological constraints on an organism, trait-based approaches can be used to investigate the range-limits of any species. Assessments of spatial variation in the physiological constraints on an organism may also provide a mechanistic basis for forecasting the rate of range expansion and for understanding a species' potential to evolve at range-edges. Mechanistic approaches thus have broad application to process-based ecological and evolutionary models of range-shift.
引用
收藏
页码:423 / 434
页数:12
相关论文
共 50 条
[1]  
[Anonymous], ISSUES ECOLOGY
[2]   Spatial prediction of species distribution: an interface between ecological theory and statistical modelling [J].
Austin, MP .
ECOLOGICAL MODELLING, 2002, 157 (2-3) :101-118
[3]  
Bennett A.F., 1976, P127
[4]   Linking traits to energetics and population dynamics to predict lizard ranges in changing environments [J].
Buckley, Lauren B. .
AMERICAN NATURALIST, 2008, 171 (01) :E1-E19
[5]  
Campbell G. S., 1998, ENV BIOPHYSICS
[6]   Energetic costs of activity by lizards in the field [J].
Christian, KA ;
Baudinette, RV ;
Pamula, Y .
FUNCTIONAL ECOLOGY, 1997, 11 (03) :392-397
[7]   Combining population-dynamic and ecophysiological models to predict climate-induced insect range shifts [J].
Crozier, Lisa ;
Dwyer, Greg .
AMERICAN NATURALIST, 2006, 167 (06) :853-866
[8]   Making mistakes when predicting shifts in species range in response to global warming [J].
Davis, AJ ;
Jenkinson, LS ;
Lawton, JH ;
Shorrocks, B ;
Wood, S .
NATURE, 1998, 391 (6669) :783-786
[9]   Promising the future? Global change projections of species distributions [J].
Dormann, Carsten F. .
BASIC AND APPLIED ECOLOGY, 2007, 8 (05) :387-397
[10]   Novel methods improve prediction of species' distributions from occurrence data [J].
Elith, J ;
Graham, CH ;
Anderson, RP ;
Dudík, M ;
Ferrier, S ;
Guisan, A ;
Hijmans, RJ ;
Huettmann, F ;
Leathwick, JR ;
Lehmann, A ;
Li, J ;
Lohmann, LG ;
Loiselle, BA ;
Manion, G ;
Moritz, C ;
Nakamura, M ;
Nakazawa, Y ;
Overton, JM ;
Peterson, AT ;
Phillips, SJ ;
Richardson, K ;
Scachetti-Pereira, R ;
Schapire, RE ;
Soberón, J ;
Williams, S ;
Wisz, MS ;
Zimmermann, NE .
ECOGRAPHY, 2006, 29 (02) :129-151