Evidence map›Paper›PMID 31938480›Full record

ArticleEcology and evolution2019

Climatic and vegetational drivers of insect beta diversity at the continental scale.

Douglas Chesters, Philip Beckschäfer, Michael C Orr, Sarah J Adamowicz, Kwok-Pan Chun, Chao-Dong Zhu

Abstract read
In one paragraph

Article in Ecology and evolution, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

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6citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. RUM/FILH: a standardized operational capability model for biodiversity databases.Database : the journal of biological databases and curation · 2026
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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Douglas ChestersKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.ORCID https://orcid.org/0000-0001-7352-5770
Philip BeckschäferForest Inventory and Remote Sensing Faculty of Forest Sciences and Forest Ecology Göttingen University Göttingen Germany.
Michael C OrrKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.
Sarah J AdamowiczDepartment of Integrative Biology & Biodiversity Institute of Ontario University of Guelph Guelph ON Canada.
Kwok-Pan ChunDepartment of Geography Hong Kong Baptist University Kowloon Tong Hong Kong S. A. R. China.
Chao-Dong ZhuKey Laboratory of Zoological Systematics and Evolution Institute of Zoology Chinese Academy of Sciences Beijing China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWe construct a framework for mapping pattern and drivers of insect diversity at the continental scale and use it to test whether and which environmental gradients drive insect beta diversity. LOCATION: Global; North and Central America; Western Europe. TIME PERIOD: 21st century. MAJOR TAXA STUDIED: Insects.

methodsAn informatics system was developed to integrate terrestrial data on insects with environmental parameters. We mined repositories of data for distribution, climatic data were retrieved (WorldClim), and vegetation parameters inferred from remote sensing analysis (MODIS Vegetation Continuous Fields). Beta diversity between sites was calculated and then modeled with two methods, Mantel test with multiple regression and generalized dissimilarity modeling.

resultsGeographic distance was the main driver of insect beta diversity. Independent of geographic distance, bioclimate variables explained more variance in dissimilarity than vegetation variables, although the particular variables found to be significant were more consistent in the latter, particularly, tree cover. Tree cover gradients drove compositional dissimilarity at denser coverages, in both continental case studies. For climate, gradients in temperature parameters were significant in driving beta diversity more so than gradients in precipitation parameters. MAIN

conclusionsAlthough environmental gradients drive insect beta diversity independently of geography, the relative contribution of different climatic and vegetational parameters is not expected to be consistent in different study systems. With further incorporation of additional temporal information and variables, this approach will enable the development of a predictive framework for conserving insect biodiversity at the global scale.

Indexed as

beta diversityclimateinsectsremote sensing

Identifiers

PMID31938480
PMCPMC6953656

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.