Evidence map›Paper›PMID 38891686›Full record

ArticleAnimals : an open access journal from MDPI2024

Human-Wildlife Conflict Mitigation Based on Damage, Distribution, and Activity: A Case Study of Wild Boar in Zhejiang, Eastern China.

Junchen Liu, Shanshan Zhao, Liping Tan, Jianwu Wang, Xiao Song, Shusheng Zhang, Feng Chen, Aichun Xu

Abstract read
In one paragraph

Article in Animals : an open access journal from MDPI, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. 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

8 authors.

Junchen LiuCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilization, China Jiliang University, Hangzhou 310018, China.ORCID 0009-0006-8085-8710
Shanshan ZhaoCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilization, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0003-4083-1717
Liping TanCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilization, China Jiliang University, Hangzhou 310018, China.
Jianwu WangZhejiang Forest Resources Monitoring Center, Hangzhou 310020, China.
Xiao SongCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilization, China Jiliang University, Hangzhou 310018, China.ORCID 0000-0003-1546-3094
Shusheng ZhangThe Management Center of Wuyanling National Natural Reserve in Zhejiang, Wenzhou 325500, China.
Feng ChenZhejiang Forest Resources Monitoring Center, Hangzhou 310020, China.
Aichun XuCollege of Life Sciences, Yangtze River Delta Institute of Biodiversity Conservation and Utilization, China Jiliang University, Hangzhou 310018, China.

Funding

National Natural Science Foundation of China 32101405Zhejiang Rare and Endangered Wildlife Rescue and Conservation Project 2021-2025
6 · The paper itself

Abstract

Human-wildlife conflicts are becoming increasingly common worldwide and are a challenge to biodiversity management. Compared with compensatory management, which often focuses on solving emergency conflicts, mitigation management allows decision-makers to better understand where the damage is distributed, how the species are distributed and when the species conduct their activity. Here, we integrated data collected from 90 districts/counties' damage surveys and 1271 camera traps to understand the damage status, abundance, density and activity rhythms of wild boar (

Indexed as

damage compensationEastern Chinahuman–wildlife conflictwild boar (Sus scrofa)

Identifiers

PMID38891686
PMCPMC11171170

What OpenQuestion holds

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LicenceCC BY
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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.