Search from over 60,000 research works

Advanced Search

Human‐driven habitat conversion is a more immediate threat to Amboseli elephants than climate change

[thumbnail of Open access]
Preview
PublishedPDF.pdf - Published Version (5MB) | Preview
Available under license: Creative Commons Attribution
[thumbnail of Final Main Text.pdf]
Final Main Text.pdf - Accepted Version (769kB)
Restricted to Repository staff only
Add to AnyAdd to TwitterAdd to FacebookAdd to LinkedinAdd to PinterestAdd to Email

Boult, V. L., Fishlock, V., Quaife, T. orcid id iconORCID: https://orcid.org/0000-0001-6896-4613, Hawkins, E. orcid id iconORCID: https://orcid.org/0000-0001-9477-3677, Moss, C., Lee, P. C. and Sibly, R. M. orcid id iconORCID: https://orcid.org/0000-0001-6828-3543 (2019) Human‐driven habitat conversion is a more immediate threat to Amboseli elephants than climate change. Conservation Science and Practice, 1 (9). pp. 1-10. ISSN 2578-4854 doi: 10.1111/csp2.87

Abstract/Summary

Global ecosystem change presents a major challenge to biodiversity conservation, which must identify and prioritize the most critical threats to species persistence given limited available funding. Mechanistic models enable robust predictions under future conditions and can consider multiple stressors in combination. Here we use an individual‐based model (IBM) to predict elephant population size in Amboseli, southern Kenya, under environmental scenarios incorporating climate change and anthropogenic habitat loss. The IBM uses projected food availability as a key driver of elephant population dynamics and relates variation in food availability to changes in vital demographic rates through an energy budget. Habitat loss, rather than climate change, represents the most significant threat to the persistence of the Amboseli elephant population in the 21st century and highlights the importance of collaborations and agreements that preserve space for Amboseli elephants to ensure the population remains resilient to environmental stochasticity.

Altmetric Badge

Item Type Article
URI https://reading-clone.eprints-hosting.org/id/eprint/84749
Item Type Article
Refereed Yes
Divisions Science > School of Mathematical, Physical and Computational Sciences > National Centre for Earth Observation (NCEO)
Life Sciences > School of Biological Sciences > Ecology and Evolutionary Biology
Science > School of Mathematical, Physical and Computational Sciences > NCAS
Science > School of Mathematical, Physical and Computational Sciences > Department of Meteorology
Publisher Wiley
Download/View statistics View download statistics for this item

Downloads

Downloads per month over past year

University Staff: Request a correction | Centaur Editors: Update this record

Search Google Scholar