Evidence map›Paper›PMID 40051102›Full record

ArticleWater science and technology : a journal of the International Association on Water Pollution Research2022

Evolution of water environment construction and urban landscape ecological risk based on land cover change analysis.

Xujie Gong, Liangming Chen, Shun Tan

Abstract read
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In one paragraph

Article in Water science and technology : a journal of the International Association on Water Pollution Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Xujie GongForestry Institute, Central South University of Forestry and Technology, Changsha, Hunan Province 410004, China E-mail: gxj140902@163.com.
Liangming ChenForestry Institute, Central South University of Forestry and Technology, Changsha, Hunan Province 410004, China.
Shun TanSitute of Tourism, Central South University of Forestry and Technology, Changsha, Hunan Province 410004, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mining minerals plays a fundamental role in promoting social-economic progress. Intensive mining operations. However, it also brings huge ecological risks, and may lead to significant changes in land use/land cover (LULC), further affecting the urban landscape and ecological environment. Based on changes in LULC from 2000 to 2020 in the Jiawang district, a resource-based city, this study uses an ecological risk assessment as the theoretical basis for evaluating regional landscape ecological risk. The results show that: (1) From 2000 to 2020 significant changes in LULC were the increase the areas of built-up land and those covered with water, and decreases occurred in the cultivated, industrial, and mining land areas. The conversion of industrial and mining lands to areas of water is a noteworthy ecological compensation area. (2) Over the past two decades, the average ecological risk in the study area was 0.19, 0.21, and 0.14, in 2000, 2010 and 2020, respectively, first increasing and then decreasing. The area ratio of the lowest-risk ecological risk areas dropped from 31.60% to 4.00%. (3) The global Moran's I values in 2000, 2010, and 2020 were 0.6047, 0.6280, and 0.6392, respectively. The positive values indicate that the autocorrelation and spatial aggregation of ecological risks in Jiawang district gradually increased. This study can provide a basis for other resource-based cities to rationally allocate land resources and manage urban ecological risks.

Indexed as

ecological risk assessmentJiawang Districtland cover changewater environment and landscape evolutionXuzhou City

Identifiers

PMID40051102

What OpenQuestion holds

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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.