Evidence map›Paper›PMID 34535865›Full record

ArticleEnvironmental science and pollution research international2022

Quantifying the human disturbance intensity of ecosystems and its natural and socioeconomic driving factors in urban agglomeration in South China.

Xiaojun Wang, Guangxu Liu, Aicun Xiang, Salman Qureshi, Tianhang Li, Dezhuo Song, Churan Zhang

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Article in Environmental science and pollution research international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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0cells of the map it votes in
2citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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. Article
  2. Mycorrhizal Patterns in the Roots of DominantPlants (Basel, Switzerland) · 2021
    Article
4 · The record

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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.

Xiaojun WangSchool of Geography Sciences, South China Normal University, Guangzhou, 510631, China. gwangxj@163.com.ORCID http://orcid.org/0000-0002-4572-3742
Guangxu LiuSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, 341000, China. lg760411@126.com.
Aicun XiangSchool of Geography and Environmental Engineering, Gannan Normal University, Ganzhou, 341000, China.
Salman QureshiInstitute of Geography, Humboldt University of Berlin, Rudower Chaussee 16, 12489, Berlin, Germany.
Tianhang LiSchool of Geography Sciences, South China Normal University, Guangzhou, 510631, China.
Dezhuo SongSchool of Geography Sciences, South China Normal University, Guangzhou, 510631, China.
Churan ZhangSchool of Geography Sciences, South China Normal University, Guangzhou, 510631, China.

Funding

Challenge Cup Gold Seed Project of South China Normal University 20DKKA01Climbing Program Special Funds for Science and Technology Innovation Strategy of Guangdong Province pdjh2020b0169Humanities and Social Science Research Planning Project for Universities of Jiangxi Province GL20116
6 · The paper itself

Abstract

The impact of human activities on terrestrial ecosystems is becoming more intense than ever in history. Human disturbance analyses play important roles in appropriately managing the human-environment relationship. In this study, a human disturbance index (HDI) that uses land use and land cover data from 1980, 2000, 2010, and 2018 is proposed to assess the human disturbance of ecosystems in the Guangdong-Hong Kong-Macao Greater Bay Area. The HDI is first calculated by classifying the human disturbance intensity into seven levels and 13 categories from weak to strong in ecosystems. Then the driving factors of the HDI spatial pattern change are explored using a geographically weighted regression (GWR) model. The results showed that the spatial pattern of the HDI was high in the middle and low in the surrounding areas. The intensity of human disturbance increased, and the medium and high disturbance areas expanded during 1980-2018, especially in Guangzhou, Foshan, Shenzhen, and Dongguan. Human disturbance displayed an obvious spatial heterogeneity. The GWR model had a better explanation effect of the analysis of the HDI change drivers. The driving effect of the socioeconomic conditions was significantly stronger than that of the natural environmental. This study assists in understanding the distribution and change characteristics of the ecological environment in areas with strong human activities and provides a reference for related studies.

Indexed as

Anthropogenic EffectsEcosystemChinaHong KongHumansMacauSocioeconomic FactorsEcosystemGeographically weighted regression (GWR)Guangdong-Hong Kong-Macao Greater Bay Area (GHMGBA)Human disturbanceTemporal and spatial characteristicsUrban agglomeration

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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.