Evidence map›Paper›PMID 30710093›Full record

ArticleScientific reports2019

Effects of roads on giant panda distribution: a mountain range scale evaluation.

Ke He, Qiang Dai, Xianghui Gu, Zejun Zhang, Jiang Zhou, Dunwu Qi, Xiaodong Gu, Xuyu Yang, Wen Zhang, Biao Yang and 1 more

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. 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

11 authors.

Ke HeKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry Of Education), China West Normal University, Nanchong, 637002, China.
Qiang DaiChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.ORCID 0000-0002-7850-997X
Xianghui GuChengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, 610041, China.
Zejun ZhangKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry Of Education), China West Normal University, Nanchong, 637002, China.
Jiang ZhouSchool of Life Sciences, Guizhou Normal University, Guiyang, 550001, China. zhoujiang@ioz.ac.cn.
Dunwu QiChengdu Research Base of Giant Panda Breeding, Sichuan Key Laboratory of Conservation Biology for Endangered Wildlife, Chengdu, 610086, China.
Xiaodong GuSichuan Station of Wild life survey and Management, Chengdu, 610082, China.
Xuyu YangSichuan Station of Wild life survey and Management, Chengdu, 610082, China.
Wen ZhangSichuan Provincial Institute of Forestry Survey and Planning, Chengdu, 610082, China.
Biao YangKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry Of Education), China West Normal University, Nanchong, 637002, China. yangb315@163.com.
Zhisong YangKey Laboratory of Southwest China Wildlife Resources Conservation (Ministry Of Education), China West Normal University, Nanchong, 637002, China. yangzhisong@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few studies have focused on the mountain ranges scale effects of roads on wildlife. This lack of data could lead to an underestimation of the negative impact of roads on animal populations. We analyzed a dataset that included 74.4% of the giant panda population and covered 78.7% of the global giant panda habitat to estimate road-effect zones for major roads, and to investigate how these major roads influenced the distribution of giant pandas on a mountain range spatial scale. We found that the density of giant panda signs was significantly decreased by proximity to major roads. The effect zone reached 5,000 m from national roads and 1,500 m from provincial roads. Structural equation model analysis revealed that the strongest negative impact of major roads on giant pandas was via the reduction of nearby forest cover. The results should provide a better understanding of the impact of anthropogenic infrastructure and regional economic development on wildlife, thus providing a basis for conservation policy decisions. We suggest that the environmental impact assessment of proposed roadways or further researches on road ecological effects should expand to a larger scale and consider the possible habitat degradation caused by road access.

Indexed as

EcosystemModels, TheoreticalUrsidaeAnimalsAnimals, WildChinaConservation of Natural ResourcesEndangered SpeciesForests

Identifiers

PMID30710093
PMCPMC6358623

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.