Trait mediation explains decadal distributional shifts for a wide range of insect taxa

Shifts in insect distributions have been reported globally, largely attributed to climate and landscape changes. Communities are being reshaped, with species response traits mediating the effects of changing environments. Using a machine-learning approach we model 1252 insect occupancies across three decades in Great Britain. We combine independent models of nine insect groups (butterflies, moths, odonates, orthopterans, carabids, ladybirds, bees, wasps and hoverflies) to take a high-level view of the trends and key environmental drivers of insect occupancy, as well as to highlight the trait mediations underlying the resulting niches. Across this wide taxonomic range, we identify common trends in insect occupancies, showing no Great Britain-wide decline since 1990, but instead local declines and changes in community compositions. Known drivers of biodiversity loss appear to underlie those changes, notably urban sprawl and landscape simplification. Our approach also highlights the crucial roles of two response traits: habitat breadth, in mediating the effects of changing landscapes diversity and voltinism, in mediating the effects of increasing temperatures on insect life cycles.

Authors

Institutions

Publication Details

Journal
Nature Communications
Published
2025-08-30
DOI
https://doi.org/10.1038/s41467-025-63093-y
Citations
1
Primary Topic
Plant and animal studies
Type
article
Field-Weighted Citation Impact
3.03

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Trait mediation explains decadal distributional shifts for a wide range of insect taxa

Alice E. Milne, Richard Fox, C. R. Shortall, Luke C. Evans et al.
1 citations
Nature Communications
Plant and animal studies
3.03
article

Trait mediation explains decadal distributional shifts for a wide range of insect taxa

Alice E. Milne, Richard Fox, C. R. Shortall, Luke C. Evans, Björn C. Beckmann, Rowan Edwards, William E. Kunin, Marc S. Botham, Stuart P. M. Roberts, Christopher W. Foster, Christopher Hassall, James R. Bell, Yoann Bourhis, Clare S. Rowland, Dan Blumgart, Martin C.D. Speight
article en
1 citations

Abstract

Shifts in insect distributions have been reported globally, largely attributed to climate and landscape changes. Communities are being reshaped, with species response traits mediating the effects of changing environments. Using a machine-learning approach we model 1252 insect occupancies across three decades in Great Britain. We combine independent models of nine insect groups (butterflies, moths, odonates, orthopterans, carabids, ladybirds, bees, wasps and hoverflies) to take a high-level view of the trends and key environmental drivers of insect occupancy, as well as to highlight the trait mediations underlying the resulting niches. Across this wide taxonomic range, we identify common trends in insect occupancies, showing no Great Britain-wide decline since 1990, but instead local declines and changes in community compositions. Known drivers of biodiversity loss appear to underlie those changes, notably urban sprawl and landscape simplification. Our approach also highlights the crucial roles of two response traits: habitat breadth, in mediating the effects of changing landscapes diversity and voltinism, in mediating the effects of increasing temperatures on insect life cycles.

Nature CommunicationsVol. 16(1)
University of Leeds (GB), Butterfly Conservation (GB), Trinity College Dublin (IE), Rothamsted Research (GB), UK Centre for Ecology & Hydrology (GB), Midhurst Community Hospital (GB), Keele University (GB), University of Reading (GB), British Trust for Ornithology (GB)
NERC Environmental Bioinformatics Centre, Directorate for Biological Sciences
Openalex Percentile: Top 8%
Plant and animal studies
3.03
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.