Evidence map›Paper›PMID 36457062›Full record

ArticleMovement ecology2022

Community structure of the solitary giant pandas is maintained by indirect social connections.

Wenliang Zhou, Meng Wang, Yingjie Ma, Le Wang, Yibo Hu, Fuwen Wei, Yonggang Nie

Open access · goldAbstract read
In one paragraph

Article in Movement ecology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

4 citing papers in PubMed, 8 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

7 authors at 3 institutions in 1 country.

Wenliang Zhou *Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichen Xilu, Chaoyang District, Beijing, China.
Meng Wang *Key Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichen Xilu, Chaoyang District, Beijing, China.
Yingjie MaKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichen Xilu, Chaoyang District, Beijing, China.
Le WangKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichen Xilu, Chaoyang District, Beijing, China.
Yibo HuKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichen Xilu, Chaoyang District, Beijing, China.
Fuwen WeiKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichen Xilu, Chaoyang District, Beijing, China.
Yonggang NieKey Laboratory of Animal Ecology and Conservation Biology, Institute of Zoology, Chinese Academy of Sciences, 1-5 Beichen Xilu, Chaoyang District, Beijing, China. nieyg@ioz.ac.cn.
Chinese Academy of Sciences · CNInstitute of Zoology · CNUniversity of Chinese Academy of Sciences · CN

Funding

Key Project of the Chinese Academy of Sciences QYZDB-SSW-SMC047Ministry of Science and Technology of the People's Republic of China 2016YFC0503200National Natural Science Foundation of China 31622012National Natural Science Foundation of China 32000314PI Project of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) GML2020GD0804PI Project of Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) GML2022GD0804
6 · The paper itself

Abstract

backgroundIndirect interactions between individual solitary mammals, such as the giant panda, are often overlooked because of their nature, yet are important for maintaining the necessary sociality in solitary species. METHODS AND

resultsHere, we determined the genetic identity of all giant panda individuals in a local population and matched these identities with their associations to determine social network of this solitary animal. Total thirty-five giant panda individuals were found in our field survey, and we constructed genetic and social networks for thirty-three individuals who successfully obtained genetic, age and sex information. The results showed that sex had great impact on both social network and genetic network, and age may have the potential to influence the social network of the giant pandas. Adult males, mostly in the central of the social network, which appeared significantly larger network connections than adult females. Due to the female-biased dispersal pattern of wild giant pandas, male-male pairs showed higher relatedness than female-female ones and multi-generational patrilinear assemblages are expected in the study area.

conclusionsThe relatedness of individuals has an influence on the formation of community social structure of giant pandas, and indirect interactions among solitary giant pandas potentially function to reduce competition for resources and inbreeding.

Indexed as

Genetic networkGiant pandaNon-invasive genetic samplingSocial networksSocial structure

Identifiers

PMID36457062
PMCPMC9716724
OpenAlexW4310522633

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LicenceCC BY
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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.