Interplay of physical and social drivers of movement in male African savanna elephants

Abstract Despite extensive research into the behavioral ecology of free-ranging animal groups, questions remain about how group members integrate information about their physical and social surroundings. This is because (1) tracking of multiple group members is limited to a few easily manageable species and (2) the tools to simultaneously quantify physical and social influences on an individual’s movement remain challenging, especially across large geographic scales. A relevant example of a widely ranging species with complex social structure and of conservation concern is the African savanna elephant. We evaluate highly synchronized GPS tracks from 5 male elephants in Etosha National Park in Namibia by incorporating their dynamic social landscape into an established resource selection model. The fitted model predicts movement patterns based simultaneously on the physical landscape (e.g. repeated visitation of waterholes) and the social landscape (e.g. avoidance of a dominant male). Combining the fitted models for multiple focal individuals produces landscape-dependent social networks that vary over space (e.g. with distance from a waterhole) and time (e.g. as the seasons change). The networks, especially around waterholes, are consistent with dominance patterns determined from previous behavioral studies. Models that combine physical landscape and social effects, based on remote tracking, can augment traditional methods for determining social structure from intensive behavioral observations. More broadly, these models will be essential to effective, in-situ conservation and management of wide-ranging social species in the face of anthropogenic disruptions to their physical surroundings and social connections.

Authors

Institutions

Publication Details

Journal
Behavioral Ecology
Published
2024-11-19
DOI
https://doi.org/10.1093/beheco/arae091
Citations
2
Primary Topic
Animal Behavior and Welfare Studies
Type
article
Field-Weighted Citation Impact
1.28
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interplay of physical and social drivers of movement in male African savanna elephants

Małgorzata Wiśniewska, Simon Garnier, Caitlin E. O'Connell‐Rodwell, Werner Kilian et al.
2 citations
Behavioral Ecology
Animal Behavior and Welfare Studies
1.28
article

Interplay of physical and social drivers of movement in male African savanna elephants

Małgorzata Wiśniewska, Simon Garnier, Caitlin E. O'Connell‐Rodwell, Werner Kilian, G.J. Russell
article en
2 citations

Abstract

Abstract Despite extensive research into the behavioral ecology of free-ranging animal groups, questions remain about how group members integrate information about their physical and social surroundings. This is because (1) tracking of multiple group members is limited to a few easily manageable species and (2) the tools to simultaneously quantify physical and social influences on an individual’s movement remain challenging, especially across large geographic scales. A relevant example of a widely ranging species with complex social structure and of conservation concern is the African savanna elephant. We evaluate highly synchronized GPS tracks from 5 male elephants in Etosha National Park in Namibia by incorporating their dynamic social landscape into an established resource selection model. The fitted model predicts movement patterns based simultaneously on the physical landscape (e.g. repeated visitation of waterholes) and the social landscape (e.g. avoidance of a dominant male). Combining the fitted models for multiple focal individuals produces landscape-dependent social networks that vary over space (e.g. with distance from a waterhole) and time (e.g. as the seasons change). The networks, especially around waterholes, are consistent with dominance patterns determined from previous behavioral studies. Models that combine physical landscape and social effects, based on remote tracking, can augment traditional methods for determining social structure from intensive behavioral observations. More broadly, these models will be essential to effective, in-situ conservation and management of wide-ranging social species in the face of anthropogenic disruptions to their physical surroundings and social connections.

Behavioral EcologyVol. 36(1)
Rutgers, The State University of New Jersey (US), New Jersey Institute of Technology (US), Etosha Ecological Institute (NA), Harvard University Press (US), Stanford Medicine (US), Stanford University (US)
Life in Land
Openalex Percentile: Top 19%
Animal Behavior and Welfare Studies
1.28
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.