Evidence map›Paper›PMID 31848369›Full record

ArticleScientific reports2019

Spatio-temporal Analysis of Anthropogenic Disturbances on Landscape Pattern of Tourist Destinations: a case study in the Li River Basin, China.

Yunyun Xiang, Jijun Meng, Nanshan You, Peixiong Chen, Hui Yang

Open access · goldAbstract 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 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  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

5 authors at 4 institutions in 1 country.

Yunyun XiangSecond Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China. xiangyunyun@126.com.
Jijun MengSchool of Urban and Environmental Sciences, Key Laboratory for Earth Surface Processes, Ministry of Education, Peking University, Beijing, 100871, China. jijunm@pku.edu.cn.
Nanshan YouInstitute of Geographic Sciences and Natural Resources Research, CAS, Beijing, 100101, China.
Peixiong ChenSecond Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.
Hui YangSecond Institute of Oceanography, Ministry of Natural Resources, Hangzhou, 310012, China.
Ministry of Natural Resources · CNInstitute of Geographic Sciences and Natural Resources Research · CNPeking University · CNSecond Institute of Oceanography · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The impact of human-related activities on the eco-environment of tourist destinations is an important part of recreation ecology research. However, traditional studies have mainly concentrated on the static influences upon the simple factors of soil or vegetation in tourist destinations, and the relationship between anthropogenic disturbances and landscape patterns is little understood. In this study, we constructed a disturbance model on a landscape scale to identify and quantify the main anthropogenic disturbances. The overall variation coefficient (OVC) index is defined as the intensity of different disturbance sources, and landscape structure analysis methods are used for temporal and spatial differentiation, which is applied in the Li River Basin, China. Three typical types of human-related activities are identified as possible anthropogenic disturbance sources in the region, and their notable influential spheres are determined. Then, the dynamic changes in tourism disturbance in two periods and the spatial distribution characteristics related to three factors are explored. The results suggest that settlement and tourism disturbances have exerted considerable impacts on landscape patterns, and the differentiation characteristics are closely related to local tourism development policies and patterns. The disturbance model could be applied in other tourism destinations and provide countermeasures for regional tourism management.

Identifiers

PMID31848369
PMCPMC6917706
OpenAlexW2995177053

What OpenQuestion holds

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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.