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Ecology
Article
Data sources: UnpayWall
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Ecology
Article . 2017 . Peer-reviewed
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Ecology
Article . 2018
HKU Scholars Hub
Article . 2017
Data sources: HKU Scholars Hub
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A global database of ant species abundances

Authors: Gibb, Heloise; Dunn, Rob R; Sanders, Nathan J; Grossman, Blair F; Photakis, Manoli; Abril, Silvia; Agosti, Donat; +66 Authors

A global database of ant species abundances

Abstract

AbstractWhat forces structure ecological assemblages? A key limitation to general insights about assemblage structure is the availability of data that are collected at a small spatial grain (local assemblages) and a large spatial extent (global coverage). Here, we present published and unpublished data from 51 ,388 ant abundance and occurrence records of more than 2,693 species and 7,953 morphospecies from local assemblages collected at 4,212 locations around the world. Ants were selected because they are diverse and abundant globally, comprise a large fraction of animal biomass in most terrestrial communities, and are key contributors to a range of ecosystem functions. Data were collected between 1949 and 2014, and include, for each geo‐referenced sampling site, both the identity of the ants collected and details of sampling design, habitat type, and degree of disturbance. The aim of compiling this data set was to provide comprehensive species abundance data in order to test relationships between assemblage structure and environmental and biogeographic factors. Data were collected using a variety of standardized methods, such as pitfall and Winkler traps, and will be valuable for studies investigating large‐scale forces structuring local assemblages. Understanding such relationships is particularly critical under current rates of global change. We encourage authors holding additional data on systematically collected ant assemblages, especially those in dry and cold, and remote areas, to contact us and contribute their data to this growing data set.

Countries
Italy, United States, Australia, South Africa, United States, United States, Denmark, China (People's Republic of)
Keywords

570, ccurrence, Databases, Factual, Climate, Pitfall trap, 590, habitat, ants, occurrence, 333, Ecological applications, Database, Databases, local assemblage, Occurrence, Abundance, Geo-referenced, FoR 0603 (Evolutionary Biology), Animals, FoR 0501 (Ecological Applications), FoR 0602 (Ecology), ant, pitfall trap, Formicidae, Factual, database, Ecosystem, disturbance, Climate Solutions, abundance, Evolutionary Biology, Ecology, Ants, Disturbance, Biological Sciences, Formicidae; Winkler trap; abundance; ants; database; disturbance; geo-referenced; habitat; local assemblage; occurrence; pitfall trap, Habitat, Winkler trap, Local assemblage, Ecological Applications, geo-referenced, Climate Change Impacts and Adaptation, Zoology, Environmental Sciences

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    selected citations
    These citations are derived from selected sources.
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    39
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
39
Top 10%
Top 10%
Top 10%
Green
bronze