Evidence map›Paper›PMID 39905129›Full record

ArticleScientific reports2025

Watershed: a more efficient sampling unit for mountain camera traps.

Jun-Jie Li, Yi-Hao Fang, Ji-Cong Zhan, Xue-Jun Yang, Can-Bin Huang, Yan-Peng Li, Kun Tan, Zhi-Pang Huang, Liang-Wei Cui, Wen Xiao

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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0citing papers in PubMed
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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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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

10 authors.

Jun-Jie Li *Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China.
Yi-Hao Fang *Institute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China.
Ji-Cong ZhanInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China.
Xue-Jun YangInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China.
Can-Bin HuangJianchuan Forestry and Grassland Bureau, Dali, 671300, Yunnan, China.
Yan-Peng LiInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China.
Kun TanInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China. tank@eastern-himalaya.cn.
Zhi-Pang HuangInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China. huangzp@eastern-himalaya.cn.
Liang-Wei CuiKey Laboratory of Extremely Small Populations of Wildlife in Universities of Yunnan, Southwest Forestry University, Kunming, 650233, Yunnan, China.
Wen XiaoInstitute of Eastern-Himalaya Biodiversity Research, Dali University, Dali, 671003, Yunnan, China.

Funding

National Natural Science Foundation of China 32360274National Natural Science Foundation of China 32371567Second Tibetan Plateau Scientific Expedition and Research Program 2019QZKK0402Ten-thousand talent plan of Yunnan Province YNWR-CYJS-2018-052Ten-thousand talent plan of Yunnan Province YNWR-QNBJ-2019-262The Project for Talent and Platform of Science and Technology in Yunnan Province Science and Technology Department 202105AM070008
6 · The paper itself

Abstract

Wildlife camera trap (CT) surveys typically employ two-dimensional equal-area grid sampling, which often neglects the influence of complex mountainous terrain on species distribution, potentially yielding misleading outcomes. A watershed, incorporating diverse habitats from high to low elevations and from rivers to ridges, aligns with complex mountains. Monitoring based on watersheds might address this. In southwest China's mountain forests, under comparable sampling intensities, we contrasted the capture rate (CR), species richness, and relative abundance index (RAI) of dominant species among watershed, 1 × 1 km² grid, and elevation gradient patterns. Also, habitat factor correlations and heterogeneities were analyzed. Results reveal higher CR, species richness, and habitat heterogeneity in the watershed pattern. The elevation gradient pattern shows more stable species and RAI than the grid pattern. In small-scale mountains, topographic factors indirectly affect CT survey results via vegetation distribution. Analysis of similarities (ANOSIM) indicates significant differences in species and community among watersheds. Using watersheds as sampling units for CTs can match the mountains' elevation differences and complex topography well, aids in capturing wildlife diversity and understanding mountain species distribution. Therefore, we recommend that the spatial sample design in mountainous areas should be based on watersheds, taking elevation gradients and topography into consideration.

Indexed as

BiodiversitySpecies richnessTopography spatial sampling designWatershed ecologyWildlife conservationWildlife monitoring

Identifiers

PMID39905129
PMCPMC11794890

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