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Mapping Functional Traits: Comparing Abundance and Presence-Absence Estimates at Large Spatial Scales

Overview of attention for article published in PLOS ONE, August 2012
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Title
Mapping Functional Traits: Comparing Abundance and Presence-Absence Estimates at Large Spatial Scales
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0044019
Pubmed ID
Authors

Tim Newbold, Stuart H. M. Butchart, Çağan H. Şekercioğlu, Drew W. Purves, Jörn P. W. Scharlemann

Abstract

Efforts to quantify the composition of biological communities increasingly focus on functional traits. The composition of communities in terms of traits can be summarized in several ways. Ecologists are beginning to map the geographic distribution of trait-based metrics from various sources of data, but the maps have not been tested against independent data. Using data for birds of the Western Hemisphere, we test for the first time the most commonly used method for mapping community trait composition - overlaying range maps, which assumes that the local abundance of a given species is unrelated to the traits in question - and three new methods that as well as the range maps include varying degrees of information about interspecific and geographic variation in abundance. For each method, and for four traits (body mass, generation length, migratory behaviour, diet) we calculated community-weighted mean of trait values, functional richness and functional divergence. The maps based on species ranges and limited abundance data were compared with independent data on community species composition from the American Christmas Bird Count (CBC) scheme coupled with data on traits. The correspondence with observed community composition at the CBC sites was mostly positive (62/73 correlations) but varied widely depending on the metric of community composition and method used (R(2): 5.6 × 10(-7) to 0.82, with a median of 0.12). Importantly, the commonly-used range-overlap method resulted in the best fit (21/22 correlations positive; R(2): 0.004 to 0.8, with a median of 0.33). Given the paucity of data on the local abundance of species, overlaying range maps appears to be the best available method for estimating patterns of community composition, but the poor fit for some metrics suggests that local abundance data are urgently needed to allow more accurate estimates of the composition of communities.

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Geographical breakdown

Country Count As %
United States 4 2%
Brazil 4 2%
United Kingdom 4 2%
Chile 1 <1%
France 1 <1%
Colombia 1 <1%
Germany 1 <1%
Czechia 1 <1%
Portugal 1 <1%
Other 5 2%
Unknown 233 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 72 28%
Researcher 43 17%
Student > Master 38 15%
Student > Bachelor 25 10%
Professor > Associate Professor 16 6%
Other 37 14%
Unknown 25 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 137 54%
Environmental Science 63 25%
Earth and Planetary Sciences 11 4%
Biochemistry, Genetics and Molecular Biology 2 <1%
Engineering 2 <1%
Other 8 3%
Unknown 33 13%