The University of Southampton
University of Southampton Institutional Repository

Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?

Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?
Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful?
Modelling strategies for predicting the potential impacts of climate change on the natural distribution of species have often focused on the characterization of a species’ bioclimate envelope. A number of recent critiques have questioned the validity of this approach by pointing to the many factors other than climate that play an important part in determining species distributions and the dynamics of distribution changes. Such factors include biotic interactions, evolutionary change and dispersal ability. This paper reviews and evaluates criticisms of bioclimate envelope models and discusses the implications of these criticisms for the different modelling strategies employed. It is proposed that, although the complexity of the natural system presents fundamental limits to predictive modelling, the bioclimate envelope approach can provide a useful first approximation as to the potentially dramatic impact of climate change on biodiversity. However, it is stressed that the spatial scale at which these models are applied is of fundamental importance, and that model results should not be interpreted without due consideration of the limitations involved. A hierarchical modelling framework is proposed through which some of these limitations can be addressed within a broader, scale-dependent context.
bioclimate envelope, climate change, climate space, ecological modelling, ecological niche, hierarchy, scale
1466-822X
361-371
Pearson, R.G.
394fe6a1-9c88-47cc-b30e-5f563ea1c9aa
Dawson, T.P.
e85a1b83-5770-4fcb-bc16-c09338b40e19
Pearson, R.G.
394fe6a1-9c88-47cc-b30e-5f563ea1c9aa
Dawson, T.P.
e85a1b83-5770-4fcb-bc16-c09338b40e19

Pearson, R.G. and Dawson, T.P. (2003) Predicting the impacts of climate change on the distribution of species: are bioclimate envelope models useful? Global Ecology and Biogeography, 12 (5), 361-371. (doi:10.1046/j.1466-822X.2003.00042.x).

Record type: Article

Abstract

Modelling strategies for predicting the potential impacts of climate change on the natural distribution of species have often focused on the characterization of a species’ bioclimate envelope. A number of recent critiques have questioned the validity of this approach by pointing to the many factors other than climate that play an important part in determining species distributions and the dynamics of distribution changes. Such factors include biotic interactions, evolutionary change and dispersal ability. This paper reviews and evaluates criticisms of bioclimate envelope models and discusses the implications of these criticisms for the different modelling strategies employed. It is proposed that, although the complexity of the natural system presents fundamental limits to predictive modelling, the bioclimate envelope approach can provide a useful first approximation as to the potentially dramatic impact of climate change on biodiversity. However, it is stressed that the spatial scale at which these models are applied is of fundamental importance, and that model results should not be interpreted without due consideration of the limitations involved. A hierarchical modelling framework is proposed through which some of these limitations can be addressed within a broader, scale-dependent context.

This record has no associated files available for download.

More information

Published date: September 2003
Keywords: bioclimate envelope, climate change, climate space, ecological modelling, ecological niche, hierarchy, scale

Identifiers

Local EPrints ID: 49225
URI: http://eprints.soton.ac.uk/id/eprint/49225
ISSN: 1466-822X
PURE UUID: 6bf1a53a-5e5e-4e14-922a-625e17e37e81

Catalogue record

Date deposited: 25 Oct 2007
Last modified: 15 Mar 2024 09:54

Export record

Altmetrics

Contributors

Author: R.G. Pearson
Author: T.P. Dawson

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×