Literature DB >> 25616145

Information on biotic interactions improves transferability of distribution models.

William Godsoe1, Rua Murray, Michael J Plank.   

Abstract

Predicting changes in species' distributions is a crucial problem in ecology, with leading methods relying on information about species' putative climatic requirements. Empirical support for this approach relies on our ability to use observations of a species' distribution in one region to predict its range in other regions (model transferability). On the basis of this observation, ecologists have hypothesized that climate is the strongest determinant of species' distributions at large spatial scales. However, it is difficult to reconcile this claim with the pervasive effects of biotic interactions. Here, we resolve this apparent paradox by demonstrating how biotic interactions can affect species' range margins yet still be compatible with model transferability. We also identify situations where small changes in species' interactions dramatically shift range margins.

Mesh:

Year:  2014        PMID: 25616145     DOI: 10.1086/679440

Source DB:  PubMed          Journal:  Am Nat        ISSN: 0003-0147            Impact factor:   3.926


  4 in total

1.  Predicting biotic interactions and their variability in a changing environment.

Authors:  Kohmei Kadowaki; Claire G Barbera; William Godsoe; Frédéric Delsuc; Nicolas Mouquet
Journal:  Biol Lett       Date:  2016-05       Impact factor: 3.703

2.  Effects of biotic interactions on modeled species' distribution can be masked by environmental gradients.

Authors:  William Godsoe; Janet Franklin; F Guillaume Blanchet
Journal:  Ecol Evol       Date:  2016-12-20       Impact factor: 2.912

3.  Seasonal difference in temporal transferability of an ecological model: near-term predictions of lemming outbreak abundances.

Authors:  Eivind Flittie Kleiven; John-André Henden; Rolf Anker Ims; Nigel Gilles Yoccoz
Journal:  Sci Rep       Date:  2018-10-15       Impact factor: 4.379

4.  Context Dependent Effect of Landscape on the Occurrence of an Apex Predator across Different Climate Regions.

Authors:  Go Fujita; Atsuki Azuma; Jun Nonaka; Yoshiaki Sakai; Hatsumi Sakai; Fumitaka Iseki; Hiroo Itaya; Keita Fukasawa; Tadashi Miyashita
Journal:  PLoS One       Date:  2016-04-28       Impact factor: 3.240

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.