Evidence map›Paper›PMID 31996769›Full record

ArticleScientific reports2020

Geologic factors leadingly drawing the macroecological pattern of rocky desertification in southwest China.

Miao Jiang, Yi Lin, Ting On Chan, Yunjun Yao, Guang Zheng, Shezhou Luo, Lin Zhang, Daping Liu

Abstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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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

3 citing papers in PubMed.

  1. Ecological Quality Evolution and Its Driving Factors in Yunnan Karst Rocky Desertification Areas.International journal of environmental research and public health · 2022
    Article
  2. Article
  3. 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.

Miao JiangInstitute of Mineral Resources Research, China Metallurgical Geology Bureau, Beijing, 101300, China.
Yi LinSchool of Earth and Space Sciences, Peking University, Beijing, 100871, China. yi.lin@pku.edu.cn.ORCID http://orcid.org/0000-0002-3396-3327
Ting On ChanSchool of Geography and Planning, Sun Yat-sen University, Guangzhou, 510275, China.
Yunjun YaoFaculty of Geographical Science, Beijing Normal University, Beijing, 100875, China.
Guang ZhengInternational Institute for Earth System Science, Nanjing University, Nanjing, 210023, China.
Shezhou LuoCollege of Resources and Environment, Fujian Agriculture and Forestry University, Fuzhou, 350002, China.
Lin ZhangSchool of Physics, Peking University, Beijing, 100871, China.ORCID http://orcid.org/0000-0003-2383-8431
Daping LiuSchool of Earth and Space Sciences, Peking University, Beijing, 100871, China.

Funding

National Natural Science Foundation of China (National Science Foundation of China) 31670718National Natural Science Foundation of China (National Science Foundation of China) 31870531
6 · The paper itself

Abstract

Rocky desertification (RD) is a special process of land deterioration in karst topography, with a view of bedrock exposure and an effect of ecological degradation. Among the three largest karst regions in the world, southwest China boasts the largest RD area and highest diversity of karst landscapes. However, inefficient field surveying tends to restrict earlier studies of RD to local areas, and the high complexity of karst geomorphology in southwest China further lead to the shortage of the knowledge about its macroecological pattern so far. To address this gap, this study innovatively took county as the unit to statistically explore the links between the 2008-censused distributions of county-level RD in southwest China and its potential impact factors of three kinds (geologic, climatic, and anthropogenic), all transformed into the same mapping frame. Spatial pattern analyses based on spatial statistics and artificial interpretation unveiled the macroscopic characteristics of RD spatial patterns, and attribution analyses based on correlation analysis and dominance analysis exposed the links of the impact factors to RD and their contributions in deciding the macroscopic pattern of RD. The results suggested that geologic factors play a first role in drawing the macroecological pattern of RD, also for the slight-, moderate-, and severe-level RD scenarios, in southwest China. Despite this inference somehow collides with the popular awareness that anthropogenic factors like human activities are leadingly responsible for the RD-relevant losses, the findings are of practical implications in guiding making the macroscopic policies for mitigating RD degradation and advancing its environmental restoration.

Identifiers

PMID31996769
PMCPMC6989509

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