Evidence map›Paper›PMID 38832039›Full record

ArticlePeerJ2024

Identifying risk zones and landscape features that affect common leopard depredation.

Thakur Silwal, Bijaya Neupane, Nirjala Raut, Bijaya Dhami, Binaya Adhikari, Amit Adhikari, Aakash Paudel, Shalik Ram Kandel, Mahamad Sayab Miya

Abstract read
In one paragraph

Article in PeerJ, 2024. 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

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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

9 authors.

Thakur SilwalTribhuvan University, Institute of Forestry, Kathmandu, Nepal.
Bijaya NeupaneTribhuvan University, Institute of Forestry, Pokhara, Nepal.
Nirjala RautTribhuvan University, Institute of Forestry, Pokhara, Nepal.
Bijaya DhamiDepartment of Biological Sciences, University of Alberta, Edmonton, Canada.
Binaya AdhikariDepartment of Biology, University of Kentucky, Lexington, KY, United States of America.
Amit AdhikariTribhuvan University, Institute of Forestry, Pokhara, Nepal.
Aakash PaudelTribhuvan University, Institute of Forestry, Pokhara, Nepal.
Shalik Ram KandelTribhuvan University, Institute of Forestry, Pokhara, Nepal.
Mahamad Sayab MiyaDepartment of Biology, Western Kentucky University, Bowling Green, KY, United States of America.

Funding

Institute of Forestry (IOF)Pokhara Campus, NepalResearch Committee of Tribhuvan University
6 · The paper itself

Abstract

Human-wildlife conflict (HWC) is a pressing issue worldwide but varies by species over time and place. One of the most prevalent forms of HWC in the mid-hills of Nepal is human-common-leopard conflict (HLC). Leopard attacks, especially in forested areas, can severely impact villagers and their livestock. Information on HLC in the Gorkha district was scarce, thus making it an ideal location to identify high-risk zones and landscape variables associated with such events. Registered cases were collected and reviewed from the Division Forest Office (DFO) during 2019-2021. Claims from DFO records were confirmed with herders and villagers via eight focus group discussions. To enhance modeling success, researchers identified a total of 163 leopard attack locations on livestock, ensuring a minimum distance of at least 100 meters between locations. Using maximum entropy (MaxEnt) and considering 13 environmental variables, we mapped common leopard attack risk zones. True Skill Statistics (TSS) and area under receiver-operator curve (AUC) were used to evaluate and validate the Output. Furthermore, 10 replications, 1,000 maximum iterations, and 1000 background points were employed during modeling. The average AUC value for the model, which was 0.726 ± 0.021, revealed good accuracy. The model performed well, as indicated by a TSS value of 0.61 ± 0.03. Of the total research area (27.92 km

Indexed as

PantheraAnimalsHumansLivestockNepalCommon leopardConflictLandscape variablesLivestock depredationMaxentNepal

Identifiers

PMID38832039
PMCPMC11146323

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.