Evidence map›Paper›PMID 42904800›Full record

ArticleEcological applications : a publication of the Ecological Society of America2026

Contrasting African elephant movescapes across xeric and mesic savannas.

Sarah Louise Carroll, Jake Wall, Guillaume Bastille-Rousseau, Stephen Ndambuki Mwiu, Marc Goss, Robin Reid, George Wittemyer

Abstract read
In one paragraph

Article in Ecological applications : a publication of the Ecological Society of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Sarah Louise CarrollGraduate Degree Program in Ecology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0002-5391-7627
Jake WallWildlife Dynamics, Kilifi, Kenya.
Guillaume Bastille-RousseauCenter for Wildlife Research Sustainability, Southern Illinois University, Carbondale, Illinois, USA.ORCID https://orcid.org/0000-0001-6799-639X
Stephen Ndambuki MwiuKenya Wildlife Research and Training Institute, Naivasha, Kenya.
Marc GossMara Elephant Project, Nairobi, Kenya.
Robin ReidDepartment of Ecosystem Science and Sustainability, Colorado State University, Fort Collins, Colorado, USA.
George WittemyerDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, Colorado, USA.ORCID https://orcid.org/0000-0003-1640-5355

Funding

Mara Elephant ProjectNational Science Foundation Graduate Research Fellowship Program DGE award 006784
6 · The paper itself

Abstract

Expanding human activities increasingly influence animal movement. Yet, conservation interventions often overlook intraspecific variation in how movement is structured across populations inhabiting distinct ecosystems. For wide-ranging generalists such as African savanna elephants (Loxodonta africana), understanding how responses to resource availability and anthropogenic pressure vary across populations is critical for effective conservation planning. Here, we analyze long-term GPS tracking data from 175 African elephants to contrast how movement is structured across mesic (Mara-Serengeti) and xeric (Samburu-Laikipia) savannas in East Africa. We delineate the landscape of elephant movement (a "movescape"), using a network-based approach that integrates movement path, use intensity, and connectivity metrics to describe how animals use discrete locations for different functions. We focused on identifying highly used areas and movement corridors, then used mixed-effects spatial regressions to evaluate how environmental context influenced the occurrence of these areas within and across ecosystems. All analyses in Mara-Serengeti represent a new application of this framework and are compared with previously published results from Samburu-Laikipia. Elephant movement structure differed between ecosystems. In the Mara-Serengeti, movement networks were dense and clustered, with more locations used repeatedly and connected by redundant pathways. Movement in Samburu-Laikipia was more spatially dispersed. Most locations were used by elephants with low intensity, and connectivity was concentrated in fewer corridors. Across both ecosystems, core-use areas comprised a small proportion of the landscape, highlighting locations where conservation efforts could be targeted in unprotected areas. In the Mara-Serengeti, elephants concentrated use in areas with low boma density and away from villages. In Samburu-Laikipia, core areas and corridors were strongly associated with permanent water and consistent vegetation productivity, likely reflecting more ecological constraints on movement. Conservation planning in the Mara-Serengeti could prioritize riparian woodlands and bush thickets on hillsides to protect connectivity between core elephant areas. In Samburu-Laikipia, protecting existing limited corridors that provide access to seasonally productive forage and access to permanent natural water sources could be effective. Our combined delineation of core-use areas and the corridors that link them provides a framework for prioritizing both core habitat patches and the movement pathways that sustain landscape-scale connectivity.

Indexed as

Animal DistributionEcosystemElephantsGrasslandAnimalsConservation of Natural ResourcesAfrican elephantconnectivitycorridorGPS trackinghabitatmovementnetwork theorysavanna

Identifiers

PMID42904800
PMCPMC13685472

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.