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Updated: Oct 30, 2025

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Mammal assemblage composition predicts global patterns in emerging infectious disease risk.

Yingying X G Wang1,2, Kevin D Matson1, Luca Santini3,4,5

  • 1Wildlife Ecology and Conservation Group, Wageningen University and Research, Wageningen, The Netherlands.

Global Change Biology
|July 2, 2021
PubMed
Summary

Wildlife assemblages are key to emerging infectious diseases. This study reveals high-risk areas globally and forecasts how climate change and habitat loss will alter disease risk by changing species composition, not just richness.

Keywords:
assemblage compositionclimate changeemerging infectious diseaseshabitat lossinfectious disease hotspotsspecies distributions

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Area of Science:

  • Ecology
  • Epidemiology
  • Conservation Biology

Background:

  • Emerging infectious diseases often originate from wildlife, necessitating quantitative assessments of wildlife assemblages and spatial patterns to identify high-risk areas.
  • Previous research focused on individual species distributions, but disease transmission dynamics depend on assemblage composition, which can change without species extinction.
  • Understanding disease-diversity relationships is crucial, especially as assemblage composition and disease risk can shift due to factors beyond species loss.

Purpose of the Study:

  • To quantitatively assess global patterns of disease risk associated with wildlife assemblages.
  • To estimate the impact of climate change and habitat loss on disease risk from 2015 to 2035.
  • To explore the drivers of changes in disease risk and their relationship with biodiversity.

Main Methods:

  • Predicted distributions and abundances of 4466 mammal species globally.
  • Calculated the community-level basic reproductive ratio (R0) to assess disease risk (invasion potential, persistence, maximum prevalence).
  • Forecasted changes in disease risk under climate change and habitat loss scenarios, analyzing shifts in assemblage composition.

Main Results:

  • Identified high-risk areas for density-dependent diseases in both tropical and northern temperate latitudes.
  • Observed significant changes in wildlife assemblage composition between 2015 and 2035, despite no net loss in species richness in many areas.
  • Found a general decrease in density-dependent disease risk but an increase in frequency-dependent disease risk globally over the forecasted period.

Conclusions:

  • Biodiversity and its changes are significant drivers of disease risk.
  • Shifts in wildlife assemblage composition, influenced by climate change and habitat loss, alter disease risk dynamics.
  • Identifying emerging infectious disease hotspots through understanding these biodiversity-disease relationships is vital for public health resource allocation.