Literature DB >> 22919900

Uses and misuses of bioclimatic envelope modeling.

Miguel B Araújo1, A Townsend Peterson.   

Abstract

Bioclimatic envelope models use associations between aspects of climate and species' occurrences to estimate the conditions that are suitable to maintain viable populations. Once bioclimatic envelopes are characterized, they can be applied to a variety of questions in ecology, evolution, and conservation. However, some have questioned the usefulness of these models, because they may be based on implausible assumptions or may be contradicted by empirical evidence. We review these areas of contention, and suggest that criticism has often been misplaced, resulting from confusion between what the models actually deliver and what users wish that they would express. Although improvements in data and methods will have some effect, the usefulness of these models is contingent on their appropriate use, and they will improve mainly via better awareness of their conceptual basis, strengths, and limitations.

Mesh:

Year:  2012        PMID: 22919900     DOI: 10.1890/11-1930.1

Source DB:  PubMed          Journal:  Ecology        ISSN: 0012-9658            Impact factor:   5.499


  133 in total

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Authors:  Jessica L Metcalf; Stefan Prost; David Nogués-Bravo; Eric G DeChaine; Christian Anderson; Persaram Batra; Miguel B Araújo; Alan Cooper; Robert P Guralnick
Journal:  Proc Biol Sci       Date:  2014-01-08       Impact factor: 5.349

2.  Temperature-based bioclimatic parameters can predict nematode metabolic footprints.

Authors:  Daya Ram Bhusal; Maria A Tsiafouli; Stefanos P Sgardelis
Journal:  Oecologia       Date:  2015-04-22       Impact factor: 3.225

3.  Using scenario planning to evaluate the impacts of climate change on wildlife populations and communities in the Florida Everglades.

Authors:  Christopher P Catano; Stephanie S Romañach; James M Beerens; Leonard G Pearlstine; Laura A Brandt; Kristen M Hart; Frank J Mazzotti; Joel C Trexler
Journal:  Environ Manage       Date:  2014-11-05       Impact factor: 3.266

4.  Historical distribution of Sundaland's Dipterocarp rainforests at Quaternary glacial maxima.

Authors:  Niels Raes; Charles H Cannon; Robert J Hijmans; Thomas Piessens; Leng Guan Saw; Peter C van Welzen; J W Ferry Slik
Journal:  Proc Natl Acad Sci U S A       Date:  2014-11-10       Impact factor: 11.205

5.  Combining climatic and soil properties better predicts covers of Brazilian biomes.

Authors:  Daniel M Arruda; Elpídio I Fernandes-Filho; Ricardo R C Solar; Carlos E G R Schaefer
Journal:  Naturwissenschaften       Date:  2017-03-21

6.  Extinction debt from climate change for frogs in the wet tropics.

Authors:  Damien A Fordham; Barry W Brook; Conrad J Hoskin; Robert L Pressey; Jeremy VanDerWal; Stephen E Williams
Journal:  Biol Lett       Date:  2016-10       Impact factor: 3.703

7.  Using species distribution modelling to determine opportunities for trophic rewilding under future scenarios of climate change.

Authors:  Scott Jarvie; Jens-Christian Svenning
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2018-10-22       Impact factor: 6.237

8.  Historical citizen science to understand and predict climate-driven trout decline.

Authors:  Miguel Clavero; Miquel Ninyerola; Virgilio Hermoso; Ana Filipa Filipe; Magda Pla; Daniel Villero; Lluís Brotons; Miguel Delibes
Journal:  Proc Biol Sci       Date:  2017-01-11       Impact factor: 5.349

9.  Reply to Harwood et al.: Thermophilization estimation is robust to the scale of species distribution data.

Authors:  Pieter De Frenne; Francisco Rodríguez-Sánchez; Markus Bernhardt-Römermann; Carissa D Brown; Ove Eriksson; Martin Hermy; Fraser J G Mitchell; Petr Petrík; Hans Van Calster; Mark Vellend; Kris Verheyena
Journal:  Proc Natl Acad Sci U S A       Date:  2014-04-01       Impact factor: 11.205

10.  Predictors of contraction and expansion of area of occupancy for British birds.

Authors:  Corey J A Bradshaw; Barry W Brook; Steven Delean; Damien A Fordham; Salvador Herrando-Pérez; Phillip Cassey; Regan Early; Cagan H Sekercioglu; Miguel B Araújo
Journal:  Proc Biol Sci       Date:  2014-07-07       Impact factor: 5.349

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