Evidence map›Paper›PMID 35136560›Full record

ArticleEcology and evolution2022

Fine-scale ecological and anthropogenic variables predict the habitat use and detectability of sloth bears in the Churia habitat of east Nepal.

Manoj Pokharel, Asmit Subba, Dipa Rai, Simrik Bhandari, Yadav Ghimirey

Open access · goldAbstract read
In one paragraph

Article in Ecology and evolution, 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
1.9field-weighted citation impact, top 16% 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, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Habitat occupancy of sloth bearEcology and evolution · 2022
    Article
  5. Article
  6. 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

5 authors at 3 institutions in 1 country.

Manoj PokharelDepartment of Environmental Science Tri-Chandra Multiple Campus Kathmandu Nepal.ORCID https://orcid.org/0000-0001-9914-0852
Asmit SubbaCentral Department of Zoology Tribhuvan University Kathmandu Nepal.
Dipa RaiDepartment of Environmental Science GoldenGate International College Kathmandu Nepal.ORCID https://orcid.org/0000-0001-6361-1771
Simrik BhandariDepartment of Environmental Science and Engineering Kathmandu University Dhulikhel Nepal.ORCID https://orcid.org/0000-0003-1514-9441
Yadav GhimireyFriends of Nature Kathmandu Nepal.ORCID https://orcid.org/0000-0001-5518-0852
Kathmandu University · NPGrande International Hospital · NPTribhuvan University · NP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Once widespread throughout the tropical forests of the Indian Subcontinent, the sloth bears have suffered a rapid range collapse and local extirpations in the recent decades. A significant portion of their current distribution range is situated outside of the protected areas (PAs). These unprotected sloth bear populations are under tremendous human pressures, but little is known about the patterns and determinants of their occurrence in most of these regions. The situation is more prevalent in Nepal where virtually no systematic information is available for sloth bears living outside of the PAs. We undertook a spatially replicated sign survey-based single-season occupancy study intending to overcome this information gap for the sloth bear populations residing in the Trijuga forest of southeast Nepal. Sloth bear sign detection histories and field-based covariates data were collected between 2 October and 3 December 2020 at the 74 randomly chosen 4-km

Indexed as

Churia hillsdetectabilityhabitat useNepaloccupancysloth bear

Identifiers

PMID35136560
PMCPMC8809446
OpenAlexW4205205904

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.