Literature DB >> 19519279

Abundance and the environmental niche: environmental suitability estimated from niche models predicts the upper limit of local abundance.

Jeremy VanDerWal1, Luke P Shoo, Christopher N Johnson, Stephen E Williams.   

Abstract

Ecologists seek to understand patterns of distribution and abundance of species. Studies of distribution often use occurrence data to build models of the environmental niche of a species. Environmental suitability (ES) derived from such models may be used to predict the potential distributions of species. The ability of such models to predict spatial patterns in abundance is unknown; we argue that there should be a positive relationship between ES and local abundance. This will be so if ES reflects how well the species' physiological and ecological requirements are met at a site and if those factors also determine local abundance. However, the presence of other factors may indicate that potential abundance is not attained at all sites. Therefore, ES should predict the upper limit of abundance, and the observed relationship with ES should be wedge shaped. We tested the relationship of ES with local abundance for 69 rain forest vertebrates in the Australian wet tropics. Ordinary least squares and quantile regressions revealed a positive relationship between ES and local abundance for most species (>84%). The relationships for these species were wedge shaped. We conclude that ES modeled from presence-only data provides useful information on spatial patterns of abundance, and we discuss implications of this in addressing important problems in ecology.

Entities:  

Mesh:

Year:  2009        PMID: 19519279     DOI: 10.1086/600087

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


  65 in total

1.  Predicting bacterial community assemblages using an artificial neural network approach.

Authors:  Peter E Larsen; Dawn Field; Jack A Gilbert
Journal:  Nat Methods       Date:  2012-04-15       Impact factor: 28.547

2.  Evolutionary diversification, coevolution between populations and their antagonists, and the filling of niche space.

Authors:  Robert E Ricklefs
Journal:  Proc Natl Acad Sci U S A       Date:  2010-01-04       Impact factor: 11.205

3.  Ecological specialization and population size in a biodiversity hotspot: how rare species avoid extinction.

Authors:  S E Williams; Y M Williams; J VanDerWal; J L Isaac; L P Shoo; C N Johnson
Journal:  Proc Natl Acad Sci U S A       Date:  2009-11-06       Impact factor: 11.205

4.  Effective control of aquatic invasive species in tropical Australia.

Authors:  Stephanie Januchowski-Hartley; Jeremy VanDerWal; Damon Sydes
Journal:  Environ Manage       Date:  2011-05-10       Impact factor: 3.266

5.  Regional data refine local predictions: modeling the distribution of plant species abundance on a portion of the central plains.

Authors:  Nicholas E Young; Thomas J Stohlgren; Paul H Evangelista; Sunil Kumar; Jim Graham; Greg Newman
Journal:  Environ Monit Assess       Date:  2011-09-13       Impact factor: 2.513

6.  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

7.  Do community-weighted mean functional traits reflect optimal strategies?

Authors:  Robert Muscarella; María Uriarte
Journal:  Proc Biol Sci       Date:  2016-03-30       Impact factor: 5.349

8.  Population distribution models: species distributions are better modeled using biologically relevant data partitions.

Authors:  Sergio C Gonzalez; J Angel Soto-Centeno; David L Reed
Journal:  BMC Ecol       Date:  2011-09-19       Impact factor: 2.964

9.  Weather, not climate, defines distributions of vagile bird species.

Authors:  April E Reside; Jeremy J Vanderwal; Alex S Kutt; Genevieve C Perkins
Journal:  PLoS One       Date:  2010-10-22       Impact factor: 3.240

10.  The Impact of Global Climate Change on the Geographic Distribution and Sustainable Harvest of Hancornia speciosa Gomes (Apocynaceae) in Brazil.

Authors:  João Carlos Nabout; Mara Rúbia Magalhães; Marcos Aurélio de Amorim Gomes; Hélida Ferreira da Cunha
Journal:  Environ Manage       Date:  2016-01-22       Impact factor: 3.266

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.