Evidence map›Paper›PMID 33447985›Full record

ArticleEnvironmental science and pollution research international2021

Activity pattern study of Asiatic black bear (Ursus thibetanus) in the Qinling Mountains, China, by using infrared camera traps.

Babar Zahoor, Xuehua Liu, Pengfen Wu, Wanlong Sun, Xiaodong Jia, Zixin Lv, Xiangyu Zhao, Xiangbo He, Baishuo He, Qiong Cai and 1 more

Abstract read
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Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

8 citing papers in PubMed.

  1. Article
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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

11 authors.

Babar ZahoorState Key Joint Laboratory of Environment Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, People's Republic of China.
Xuehua LiuState Key Joint Laboratory of Environment Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, People's Republic of China. xuehua-hjx@tsinghua.edu.cn.
Pengfen WuState Key Joint Laboratory of Environment Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, People's Republic of China.
Wanlong SunState Key Joint Laboratory of Environment Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, People's Republic of China.
Xiaodong JiaState Key Joint Laboratory of Environment Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, People's Republic of China.
Zixin LvState Key Joint Laboratory of Environment Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, People's Republic of China.
Xiangyu ZhaoState Key Joint Laboratory of Environment Simulation and Pollution Control, and School of Environment, Tsinghua University, Beijing, 100084, People's Republic of China.
Xiangbo HeShaanxi Foping Nature Reserve, Foping County, 723400, Shaanxi, China.
Baishuo HeShaanxi Changqing Nature Reserve, Yangxian County, 723400, Shaanxi, China.
Qiong CaiShaanxi Guanyinshan Nature Reserve, Foping County, 723400, Shaanxi, China.
Melissa SongerConservation Ecology Center, Smithsonian Conservation Biology Institute, Front Royal, VA, 22630, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study of activity patterns is important for understanding the capacity of animals for adapting their behavior based on their habitat conditions. Among bears, daily activity patterns are considered to be strongly influenced by regional climate conditions. We monitored the activity patterns (active vs. inactive) of the Asiatic black bear (Ursus thibetanus) using infrared camera traps (from May 2013 to November 2016) in the Qinling Mountains, China. We used 125 photos, with 19,132 camera days from 55 camera locations. Based on relative independent capture (RIC), bears were found to be intensively active during June (5.86 ± 1.05 SE), July (8.45 ± 2.74), September (14.83 ± 6.13), and October (8.70 ± 3.43), with activity levels gradually decreasing beyond October. After this decline, activities eventually come to a halt when the bears enter in hibernation. We found that their hibernation period was shorter in the Qinling bears, with only 3 months of denning from January to March. Based on their daily patterns, bears were predominantly active during the daytime both in spring (70.83 ± 35.41%) and summer (52.09 ± 28.89%), but more active at twilight during autumn (51.12 ± 42.88%). We assumed that food preferences and food availability (due to warmer regional climatic conditions) might be responsible for such deviations in daily and monthly activity patterns.

Indexed as

HibernationUrsidaeAnimalsChinaEcosystemSeasonsCamera trapClimatic conditionsHibernationRelative independent capturingTemperature

Identifiers

PMID33447985

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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.