Evidence map›Paper›PMID 34797885›Full record

ArticlePloS one2021

Characterization and management of human-wildlife conflicts in mid-hills outside protected areas of Gandaki province, Nepal.

Kedar Baral, Hari P Sharma, Bhagawat Rimal, Khum Thapa-Magar, Rameshwar Bhattarai, Ripu M Kunwar, Achyut Aryal, Weihong Ji

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed, 38 citations in OpenAlex.

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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

8 authors at 5 institutions in 3 countries.

Kedar BaralSchool of Natural and Computational Sciences, Massey University, Palmerston North, New Zealand.
Hari P SharmaCentral Department of Zoology, Institute of Science and Technology, Tribhuvan University, Kathmandu, Nepal.
Bhagawat RimalCollege of Applied Science (CAS-Nepal), Tribhuvan University, Kathmandu, Nepal.
Khum Thapa-MagarForest and Rangeland Stewardship Department, Colorado State University, Fort Collins, CO, United States of America.
Rameshwar BhattaraiAsian Center for Development, Kathmandu, Nepal.
Ripu M KunwarDepartment of Geosciences, Florida Atlantic University, Boca Raton, FL, United States of America.ORCID 0000-0002-9303-0932
Achyut AryalSchool of Natural and Computational Sciences, Massey University, Palmerston North, New Zealand.
Weihong JiSchool of Natural and Computational Sciences, Massey University, Palmerston North, New Zealand.
Massey University · NZTribhuvan University · NPColorado State University · USFlorida Atlantic University · USMinistry of Forests and Soil Conservation · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the intent to better management human wildlife conflict (HWC) and wildlife conservation in mid-hills outside protected areas of Gandaki province, Nepal, we analyzed the patterns and drivers of HWC. Using data collected from literature, government records and questionnaire survey, we investigated temporal, seasonal and spatial distribution of human casualties caused by wildlife attacks. We also appraised the perception of local people towards wildlife conservation. We have recorded 77 cases (69 human injuries and 8 mortalities) during the period of nine year between 2011 and 2019. The number of wildlife attacks increased over this period. Wildlife attacks were more frequent in winter with 50% (42) of attacks occurred between September and December. Common leopard (Panthera pardus) and Himalayan black bear (Ursus thibetanus laniger) were the major species involved in these conflicts. Common leopard was the most feared species that causes highest number of human mortalities (87%, n = 67); the most severe type of HWC outcome. Forty-eight percent (n = 37) attacks were reported at human settlement areas followed by 27% attacks in agriculture land (n = 21) and 24% (n = 19) in forest. Generalized linear model analysis on spatial variables showed that the probability of human attacks increases with decreasing elevation (β = -0.0021, Z = -1.762, p = 0.078) and distance from the forest (β = -0.608, Z = -0.789, p = 0.429). We recommend to decrease habitat degradation / fragmentation, carry out habitat management program within forest to increase prey availability to decrease the wildlife invasion into human settlement area, and decrease dependency of people on forest resources by providing alternative livelihood opportunities. Simplified relief fund distribution mechanism at local level also helps alleviate the impact of HWC. The knowledge obtained by this study and management measures are important for better human-wildlife co-existence.

Indexed as

AgricultureAnimalsAnimals, WildEcosystemForestsGovernmentHumansNepalProbabilitySeasonsSurveys and Questionnaires

Identifiers

PMID34797885
PMCPMC8604285
OpenAlexW3212964263

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.