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

Boult, V. L., Fishlock, V., Quaife, T. ORCID: https://orcid.org/0000-0001-6896-4613, Hawkins, E. ORCID: https://orcid.org/0000-0001-9477-3677, Moss, C., Lee, P. C. and Sibly, R. M. ORCID: 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.

Item Type	Article
URI	https://reading-clone.eprints-hosting.org/id/eprint/84749
Identification Number/DOI	10.1111/csp2.87
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
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