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Hidden Markov Models reveal a clear human footprint on the movements of highly mobile African wild dogs

Creel, Scott and Merkle, Johnathan and Mweetwa, Thandiwe and Becker, Matthew S. and Mwape, Henry and Simpamba, Twakundine and Simukonda, Chuma (2020). Hidden Markov Models reveal a clear human footprint on the movements of highly mobile African wild dogs. Scientific Reports. 10 , 17908
[Research article]

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Abstract

Large carnivores have experienced considerable range contraction, increasing the importance of movement across human-altered landscapes between small, isolated populations. African wild dogs (Lycaon pictus) are exceptionally wide-ranging, and recolonization is an important element of their persistence at broad scales. The competition-movement-connection hypothesis suggests that adaptations to move through areas that are unfavorable due to dominant competitors might promote the ability of subordinate competitors (like wild dogs) to move through areas that are unfavorable due to humans. Here, we used hidden Markov models to test how wild dog movements were affected by the Human Footprint Index in areas inside and outside of South Luangwa National Park. Movements were faster and more directed when outside the National Park, but slowed where the human footprint was stronger. Our results can be directly and quantitatively applied to connectivity planning, and we use them to identify ways to better understand differences between species in recent loss of connectivity.

Authors/Creators:Creel, Scott and Merkle, Johnathan and Mweetwa, Thandiwe and Becker, Matthew S. and Mwape, Henry and Simpamba, Twakundine and Simukonda, Chuma
Title:Hidden Markov Models reveal a clear human footprint on the movements of highly mobile African wild dogs
Series Name/Journal:Scientific Reports
Year of publishing :2020
Volume:10
Article number:17908
Number of Pages:11
Publisher:NATURE RESEARCH
ISSN:2045-2322
Language:English
Publication Type:Research article
Article category:Scientific peer reviewed
Version:Published version
Copyright:Creative Commons: Attribution 4.0
Full Text Status:Public
Subjects:(A) Swedish standard research categories 2011 > 1 Natural sciences > 106 Biological Sciences (Medical to be 3 and Agricultural to be 4) > Ecology
URN:NBN:urn:nbn:se:slu:epsilon-p-109706
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-p-109706
Additional ID:
Type of IDID
DOI10.1038/s41598-020-74329-w
Web of Science (WoS)000585147800014
ID Code:21219
Faculty:S - Faculty of Forest Sciences
Department:(S) > Dept. of Wildlife, Fish and Environmental Studies
Deposited By: SLUpub Connector
Deposited On:14 Jan 2021 11:03
Metadata Last Modified:15 Jan 2021 19:20

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