Literature DB >> 18713269

Why is the choice of future climate scenarios for species distribution modelling important?

Linda J Beaumont1, Lesley Hughes1, A J Pitman1.   

Abstract

Species distribution models (SDMs) are common tools for assessing the potential impact of climate change on species ranges. Uncertainty in SDM output occurs due to differences among alternate models, species characteristics and scenarios of future climate. While considerable effort is being devoted to identifying and quantifying the first two sources of variation, a greater understanding of climate scenarios and how they affect SDM output is also needed. Climate models are complex tools: variability occurs among alternate simulations, and no single 'best' model exists. The selection of climate scenarios for impacts assessments should not be undertaken arbitrarily - strengths and weakness of different climate models should be considered. In this paper, we provide bioclimatic modellers with an overview of emissions scenarios and climate models, discuss uncertainty surrounding projections of future climate and suggest steps that can be taken to reduce and communicate climate scenario-related uncertainty in assessments of future species responses to climate change.

Mesh:

Year:  2008        PMID: 18713269     DOI: 10.1111/j.1461-0248.2008.01231.x

Source DB:  PubMed          Journal:  Ecol Lett        ISSN: 1461-023X            Impact factor:   9.492


  56 in total

1.  Can climate change jeopardize predator control of invasive herbivore species? A case study in avocado agro-ecosystems in Spain.

Authors:  Marta Montserrat; Rosa María Sahún; Celeste Guzmán
Journal:  Exp Appl Acarol       Date:  2012-04-24       Impact factor: 2.132

2.  Projected range contractions of montane biodiversity under global warming.

Authors:  Frank A La Sorte; Walter Jetz
Journal:  Proc Biol Sci       Date:  2010-06-09       Impact factor: 5.349

3.  Woody plants and the prediction of climate-change impacts on bird diversity.

Authors:  W D Kissling; R Field; H Korntheuer; U Heyder; K Böhning-Gaese
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2010-07-12       Impact factor: 6.237

Review 4.  Niches, models, and climate change: assessing the assumptions and uncertainties.

Authors:  John A Wiens; Diana Stralberg; Dennis Jongsomjit; Christine A Howell; Mark A Snyder
Journal:  Proc Natl Acad Sci U S A       Date:  2009-10-12       Impact factor: 11.205

5.  Climate change, phenological shifts, eco-evolutionary responses and population viability: toward a unifying predictive approach.

Authors:  Stéphanie Jenouvrier; Marcel E Visser
Journal:  Int J Biometeorol       Date:  2011-06-28       Impact factor: 3.787

6.  Approaches to evaluating climate change impacts on species: a guide to initiating the adaptation planning process.

Authors:  Erika L Rowland; Jennifer E Davison; Lisa J Graumlich
Journal:  Environ Manage       Date:  2011-01-23       Impact factor: 3.266

7.  Spatio-temporal effects of climate change on the geographical distribution and flowering phenology of hummingbird-pollinated plants.

Authors:  Ana Paula Araujo Correa-Lima; Isabela Galarda Varassin; Narayani Barve; Victor Pereira Zwiener
Journal:  Ann Bot       Date:  2019-10-18       Impact factor: 4.357

8.  A broad assessment of factors determining Culicoides imicola abundance: modelling the present and forecasting its future in climate change scenarios.

Authors:  Pelayo Acevedo; Francisco Ruiz-Fons; Rosa Estrada; Ana Luz Márquez; Miguel Angel Miranda; Christian Gortázar; Javier Lucientes
Journal:  PLoS One       Date:  2010-12-06       Impact factor: 3.240

9.  Climate change and the geographic distribution of infectious diseases.

Authors:  Joshua Rosenthal
Journal:  Ecohealth       Date:  2010-05-25       Impact factor: 3.184

10.  Global pyrogeography: the current and future distribution of wildfire.

Authors:  Meg A Krawchuk; Max A Moritz; Marc-André Parisien; Jeff Van Dorn; Katharine Hayhoe
Journal:  PLoS One       Date:  2009-04-08       Impact factor: 3.240

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