Evidence map›Paper›PMID 35123584›Full record

ArticleMovement ecology2022

Landscape characteristics influence ranging behavior of Asian elephants at the human-wildlands interface in Myanmar.

A N Chan, G Wittemyer, J McEvoy, A C Williams, N Cox, P Soe, M Grindley, N M Shwe, A M Chit, Z M Oo and 1 more

Open access · goldAbstract read
In one paragraph

Article in Movement ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
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

6 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Supporting Zoo Asian Elephant (Animals : an open access journal from MDPI · 2021
    Article
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

11 authors at 4 institutions in 3 countries.

A N ChanConservation Ecology Center, Smithsonian National Zoo and Conservation Biology Institute, Front Royal, VA, 22630, USA. anc4001@gmail.com.ORCID http://orcid.org/0000-0003-2706-6969
G WittemyerDepartment of Fish, Wildlife, and Conservation Biology, Colorado State University, Fort Collins, CO, 80523, USA.
J McEvoyConservation Ecology Center, Smithsonian National Zoo and Conservation Biology Institute, Front Royal, VA, 22630, USA.
A C WilliamsWWF-Myanmar, Yangon, Myanmar.
N CoxWWF-Myanmar, Yangon, Myanmar.
P SoeWWF-Myanmar, Yangon, Myanmar.
M GrindleyFauna and Flora International, Yangon, Myanmar.
N M ShweFauna and Flora International, Yangon, Myanmar.
A M ChitConservation Ecology Center, Smithsonian National Zoo and Conservation Biology Institute, Front Royal, VA, 22630, USA.
Z M OoMinistry of Natural Resources and Environmental Conservation, Myanma Timber Enterprise, Alone, Yangon, Myanmar.
P LeimgruberConservation Ecology Center, Smithsonian National Zoo and Conservation Biology Institute, Front Royal, VA, 22630, USA.
Smithsonian Conservation Biology Institute · USColorado State University · USFauna and Flora International · GBMinistry of Natural Resources and Environmental Conservation · MM

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextAsian elephant numbers are declining across much of their range driven largely by serious threats from land use change resulting in habitat loss and fragmentation. Myanmar, holding critical range for the species, is undergoing major developments due to recent sociopolitical changes. To effectively manage and conserve the remaining populations of endangered elephants in the country, it is crucial to understand their ranging behavior.

objectivesOur objectives were to (1) estimate the sizes of dry, wet, and annual ranges of wild elephants in Myanmar; and quantify the relationship between dry season (the period when human-elephant interactions are the most likely to occur) range size and configurations of agriculture and natural vegetation within the range, and (2) evaluate how percentage of agriculture within dry core range (50% AKDE range) of elephants relates to their daily distance traveled.

methodsWe used autocorrelated kernel density estimator (AKDE) based on a continuous-time movement modeling (ctmm) framework to estimate dry season (26 ranges from 22 different individuals), wet season (12 ranges from 10 different individuals), and annual range sizes (8 individuals), and reported the 95%, 50% AKDE, and 95% Minimum Convex Polygon (MCP) range sizes. We assessed how landscape characteristics influenced range size based on a broad array of 48 landscape metrics characterizing aspects of vegetation, water, and human features and their juxtaposition in the study areas. To identify the most relevant landscape metrics and simplify our candidate set of informative metrics, we relied on exploratory factor analysis and Spearman's rank correlation coefficient. Based on this analysis we adopted a final set of metrics into our regression analysis. In a multiple regression framework, we developed candidate models to explain the variation in AKDE dry season range sizes based on the previously identified, salient metrics of landscape composition.

resultsElephant dry season ranges were highly variable averaging 792.0 km

conclusionOur results provide baseline information on elephant spatial requirements and the factors affecting them in Myanmar. This information is important for advancing future land use planning that takes into account space-use requirements for elephants. Failing to do so may further endanger already declining elephant populations in Myanmar and across the species' range.

Indexed as

Animal movementAsian elephantGPS trackingHome rangeLandscape ecologyMyanmarRanging behavior

Identifiers

PMID35123584
PMCPMC8818246
OpenAlexW4226088888

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.