Literature DB >> 26701706

How Should Beta-Diversity Inform Biodiversity Conservation?

Jacob B Socolar1, James J Gilroy2, William E Kunin3, David P Edwards4.   

Abstract

To design robust protected area networks, accurately measure species losses, or understand the processes that maintain species diversity, conservation science must consider the organization of biodiversity in space. Central is beta-diversity--the component of regional diversity that accumulates from compositional differences between local species assemblages. We review how beta-diversity is impacted by human activities, including farming, selective logging, urbanization, species invasions, overhunting, and climate change. Beta-diversity increases, decreases, or remains unchanged by these impacts, depending on the balance of processes that cause species composition to become more different (biotic heterogenization) or more similar (biotic homogenization) between sites. While maintaining high beta-diversity is not always a desirable conservation outcome, understanding beta-diversity is essential for protecting regional diversity and can directly assist conservation planning.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  alpha-diversity; beta-diversity; biodiversity conservation; biotic homogenization; diversity partitioning; gamma-diversity; pairwise dissimilarities; spatial scaling; species–area relationships

Mesh:

Year:  2015        PMID: 26701706     DOI: 10.1016/j.tree.2015.11.005

Source DB:  PubMed          Journal:  Trends Ecol Evol        ISSN: 0169-5347            Impact factor:   17.712


  89 in total

1.  Increases in local richness (α-diversity) following invasion are offset by biotic homogenization in a biodiversity hotspot.

Authors:  Alessandra R Kortz; Anne E Magurran
Journal:  Biol Lett       Date:  2019-05-31       Impact factor: 3.703

2.  Coupled beta diversity patterns among coral reef benthic taxa.

Authors:  Jamie M McDevitt-Irwin; Carrie Kappel; Alastair R Harborne; Peter J Mumby; Daniel R Brumbaugh; Fiorenza Micheli
Journal:  Oecologia       Date:  2021-01-04       Impact factor: 3.225

3.  Detecting turnover among complex communities using null models: a case study with sky-island haemosporidian parasites.

Authors:  Lisa N Barrow; Selina M Bauernfeind; Paxton A Cruz; Jessie L Williamson; Daniele L Wiley; John E Ford; Matthew J Baumann; Serina S Brady; Andrea N Chavez; Chauncey R Gadek; Spencer C Galen; Andrew B Johnson; Xena M Mapel; Rosario A Marroquin-Flores; Taylor E Martinez; Jenna M McCullough; Jade E McLaughlin; Christopher C Witt
Journal:  Oecologia       Date:  2021-01-23       Impact factor: 3.225

Review 4.  Methods for phylogenetic analysis of microbiome data.

Authors:  Alex D Washburne; James T Morton; Jon Sanders; Daniel McDonald; Qiyun Zhu; Angela M Oliverio; Rob Knight
Journal:  Nat Microbiol       Date:  2018-05-24       Impact factor: 17.745

5.  A general framework for predicting delayed responses of ecological communities to habitat loss.

Authors:  Youhua Chen; Tsung-Jen Shen
Journal:  Sci Rep       Date:  2017-04-20       Impact factor: 4.379

6.  β-Diversity partitioning of moth communities within and between different forest types.

Authors:  A Ienco; L Dapporto; S Greco; M Infusino; S Scalercio
Journal:  Naturwissenschaften       Date:  2020-01-10

7.  Conservation: The rainforest's 'do not disturb' signs.

Authors:  David P Edwards
Journal:  Nature       Date:  2016-06-29       Impact factor: 49.962

8.  Scale-specific drivers of kelp forest communities.

Authors:  Thomas Lamy; Daniel C Reed; Andrew Rassweiler; David A Siegel; Li Kui; Tom W Bell; Rachel D Simons; Robert J Miller
Journal:  Oecologia       Date:  2017-11-03       Impact factor: 3.225

9.  Forest-type specialization strongly predicts avian responses to tropical agriculture.

Authors:  Jacob B Socolar; David S Wilcove
Journal:  Proc Biol Sci       Date:  2019-10-23       Impact factor: 5.349

10.  Local species diversity, β-diversity and climate influence the regional stability of bird biomass across North America.

Authors:  Christopher P Catano; Trevor S Fristoe; Joseph A LaManna; Jonathan A Myers
Journal:  Proc Biol Sci       Date:  2020-03-04       Impact factor: 5.349

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