Literature DB >> 33391868

Supraspecific units in correlative niche modeling improves the prediction of geographic potential of biological invasions.

Sandra Castaño-Quintero1, Carlos Yañez-Arenas1, Jazmín Escobar-Luján1, Luis Osorio-Olvera2, A Townsend Peterson2, Xavier Chiappa-Carrara1, Enrique Martínez-Meyer3.   

Abstract

BACKGROUND: Biological invasions rank among the most significant threats to biodiversity and ecosystems. Correlative ecological niche modeling is among the most frequently used tools with which to estimate potential distributions of invasive species. However, when areas accessible to the species across its native distribution do not represent the full spectrum of environmental conditions that the species can tolerate, correlative studies often underestimate fundamental niches.
METHODS: Here, we explore the utility of supraspecific modeling units to improve the predictive ability of models focused on biological invasions. Taking into account phylogenetic relationships in correlative ecological niche models, we studied the invasion patterns of three species (Aedes aegypti, Pterois volitans and Oreochromis mossambicus).
RESULTS: Use of supraspecific modeling units improved the predictive ability of correlative niche models in anticipating potential distributions of three invasive species. We demonstrated that integrating data on closely related species allowed a more complete characterization of fundamental niches. This approach could be used to model species with invasive potential but that have not yet invaded new regions.
© 2020 Castaño-Quintero et al.

Entities:  

Keywords:  Biological invasions; Ecological niche models; Invasive species; Phylogenetic conservatism of ecological niches; Potential distribution; Supraspecific modeling units

Year:  2020        PMID: 33391868      PMCID: PMC7761189          DOI: 10.7717/peerj.10454

Source DB:  PubMed          Journal:  PeerJ        ISSN: 2167-8359            Impact factor:   2.984


  22 in total

Review 1.  Predicting the geography of species' invasions via ecological niche modeling.

Authors:  A Townsend Peterson
Journal:  Q Rev Biol       Date:  2003-12       Impact factor: 4.875

Review 2.  Measuring biodiversity to explain community assembly: a unified approach.

Authors:  S Pavoine; M B Bonsall
Journal:  Biol Rev Camb Philos Soc       Date:  2010-12-14

3.  Niches and distributional areas: concepts, methods, and assumptions.

Authors:  Jorge Soberón; Miguel Nakamura
Journal:  Proc Natl Acad Sci U S A       Date:  2009-09-23       Impact factor: 11.205

4.  Ecological niche structure and rangewide abundance patterns of species.

Authors:  Enrique Martínez-Meyer; Daniel Díaz-Porras; A Townsend Peterson; Carlos Yáñez-Arenas
Journal:  Biol Lett       Date:  2012-11-07       Impact factor: 3.703

5.  Complete mitochondrial DNA sequences of the Nile tilapia (Oreochromis niloticus) and Blue tilapia (Oreochromis aureus): genome characterization and phylogeny applications.

Authors:  Anyuan He; Yongju Luo; Hong Yang; Liping Liu; Sifa Li; Chenghui Wang
Journal:  Mol Biol Rep       Date:  2010-09-21       Impact factor: 2.316

6.  The ecological niche of Daphnia magna characterized using population growth rate.

Authors:  Helen L Hooper; Richard Connon; Amanda Callaghan; Geoffrey Fryer; Sarah Yarwood-Buchanan; Jeremy Biggs; Steve J Maund; Thomas H Hutchinson; Richard M Sibly
Journal:  Ecology       Date:  2008-04       Impact factor: 5.499

7.  Are fundamental niches larger than the realized? Testing a 50-year-old prediction by Hutchinson.

Authors:  J Soberón; B Arroyo-Peña
Journal:  PLoS One       Date:  2017-04-12       Impact factor: 3.240

8.  Climatic similarity and biological exchange in the worldwide airline transportation network.

Authors:  Andrew J Tatem; Simon I Hay
Journal:  Proc Biol Sci       Date:  2007-06-22       Impact factor: 5.349

9.  Realized niche shift associated with the Eurasian charophyte Nitellopsis obtusa becoming invasive in North America.

Authors:  Luis E Escobar; Huijie Qiao; Nicholas B D Phelps; Carli K Wagner; Daniel J Larkin
Journal:  Sci Rep       Date:  2016-07-01       Impact factor: 4.379

10.  When phylogeny and ecology meet: Modeling the occurrence of Trichoptera with environmental and phylogenetic data.

Authors:  Bruno Spacek Godoy; Lucas Marques Camargos; Sara Lodi
Journal:  Ecol Evol       Date:  2018-05-08       Impact factor: 2.912

View more
  1 in total

1.  Presence and potential distribution of malaria-infected New World primates of Costa Rica.

Authors:  Andrea Chaves; Gaby Dolz; Carlos N Ibarra-Cerdeña; Genuar Núñez; Edgar Ortiz-Malavasi E; Sofia Bernal-Valle; Gustavo A Gutiérrez-Espeleta
Journal:  Malar J       Date:  2022-01-08       Impact factor: 2.979

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.