Literature DB >> 25626355

Niche shift can impair the ability to predict invasion risk in the marine realm: an illustration using Mediterranean fish invaders.

Valeriano Parravicini1, Ernesto Azzurro, Michel Kulbicki, Jonathan Belmaker.   

Abstract

Climatic niche conservatism, the tendency of species-climate associations to remain unchanged across space and time, is pivotal for forecasting the spread of invasive species and biodiversity changes. Indeed, it represents one of the key assumptions underlying species distribution models (SDMs), the main tool currently available for predicting range shifts of species. However, to date, no comprehensive assessment of niche conservatism is available for the marine realm. We use the invasion by Indo-Pacific tropical fishes into the Mediterranean Sea, the world's most invaded marine basin, to examine the conservatism of the climatic niche. We show that tropical invaders may spread far beyond their native niches and that SDMs do not predict their new distributions better than null models. Our results suggest that SDMs may underestimate the potential spread of invasive species and call for prudence in employing these models in order to forecast species invasion and their response to environmental change.
© 2015 John Wiley & Sons Ltd/CNRS.

Entities:  

Keywords:  Biological invasion; niche conservatism; niche expansion; niche shift; species distribution models

Mesh:

Year:  2015        PMID: 25626355     DOI: 10.1111/ele.12401

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


  9 in total

1.  Most invasive species largely conserve their climatic niche.

Authors:  Chunlong Liu; Christian Wolter; Weiwei Xian; Jonathan M Jeschke
Journal:  Proc Natl Acad Sci U S A       Date:  2020-09-03       Impact factor: 11.205

2.  Life history traits to predict biogeographic species distributions in bivalves.

Authors:  V Montalto; A Rinaldi; G Sarà
Journal:  Naturwissenschaften       Date:  2015-09-15

3.  ORMEF: a Mediterranean database of exotic fish records.

Authors:  Ernesto Azzurro; Sonia Smeraldo; Annalisa Minelli; Manuela D'Amen
Journal:  Sci Data       Date:  2022-06-25       Impact factor: 8.501

4.  Predicting range-shift success potential for tropical marine fishes using external morphology.

Authors:  Shannen M Smith; Rebecca J Fox; Jennifer M Donelson; Megan L Head; David J Booth
Journal:  Biol Lett       Date:  2016-09       Impact factor: 3.703

5.  Environmental resistance predicts the spread of alien species.

Authors:  Rebecca S L Lovell; Tim M Blackburn; Ellie E Dyer; Alex L Pigot
Journal:  Nat Ecol Evol       Date:  2021-01-25       Impact factor: 15.460

6.  Can species distribution models really predict the expansion of invasive species?

Authors:  Morgane Barbet-Massin; Quentin Rome; Claire Villemant; Franck Courchamp
Journal:  PLoS One       Date:  2018-03-06       Impact factor: 3.240

7.  Fundamental niche unfilling and potential invasion risk of the slider turtle Trachemys scripta.

Authors:  Sayra Espindola; Juan L Parra; Ella Vázquez-Domínguez
Journal:  PeerJ       Date:  2019-10-17       Impact factor: 2.984

8.  Off to new shores: Climate niche expansion in invasive mosquitofish (Gambusia spp.).

Authors:  Jonas Jourdan; Rüdiger Riesch; Sarah Cunze
Journal:  Ecol Evol       Date:  2021-12-13       Impact factor: 2.912

9.  Niche and range dynamics of Tasmanian blue gum (Eucalyptus globulus Labill.), a globally cultivated invasive tree.

Authors:  Runyao Cao; Xiang Gong; Jianmeng Feng; Rujing Yang
Journal:  Ecol Evol       Date:  2022-09-17       Impact factor: 3.167

  9 in total

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