Evidence map›Paper›PMID 41023274›Full record

ArticleScientific reports2025

Effectiveness analysis of ecological networks in ecological risk governance based on the spatiotemporal dynamics.

Jie Lu, Sheng Jiao, Huaiyu Zhou, Lingxuan Zhang, Qingqing Zhang

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

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5 · Who and what money

Authors and funding

5 authors.

Jie LuCollege of Architecture and Planning, Hunan University, Changsha, 410082, China.
Sheng JiaoCollege of Architecture and Planning, Hunan University, Changsha, 410082, China. jiaosheng2008@163.com.
Huaiyu ZhouCollege of Architecture and Planning, Hunan University, Changsha, 410082, China.
Lingxuan ZhangCollege of Architecture and Planning, Hunan University, Changsha, 410082, China.
Qingqing ZhangCollege of Architecture and Planning, Hunan University, Changsha, 410082, China.

Funding

National Key Research and Development Program of China 2019YFD1101304National Natural Science Foundation of China 52278059Natural Science Foundation of Hunan Province of China 2024JJ8316
6 · The paper itself

Abstract

The land cover changes by urbanization have significantly amplified ecological risk (ER). While ecological network (EN) is increasingly adopted as a spatial planning tool for ecosystem restoration, critical spatial and temporal mismatches between EN configurations and evolving ER patterns remain underexplored, leading to suboptimal conservation strategies. Taking the China's Pearl River Delta (PRD) as an example from 2000 to 2020, this study constructed a comprehensive analysis method combining EN dynamics and ER evolution based on the circuit theory, spatial autocorrelation analysis, and hierarchical mapping. The results showed that: (1) A 116.38% expansion in high-ER zones (2000-2020) paralleled the 4.48% decrease of ecological sources and increased flow resistance in ecological corridors, destabilizing the EN's structural integrity. (2) Strong negative correlations (Moran's I = -0.6, p < 0.01) emerged between EN hotspots (100-150 km urban periphery) and ER clusters (50 km urban core), indicating concentric ER-EN segregation. (3) Single-scale EN planning only addressed localized ER hotspots, disproportionately affecting vulnerable peri-urban zones - a critical environmental justice gap. These results provided insights into the adaptive management of EN within the context of PRD, and potentially offered references for the similar rapidly urbanized megaregions.

Indexed as

Ecological networkEcological riskEffectiveness analysisPearl river deltaSpatiotemporal dynamics

Identifiers

PMID41023274
PMCPMC12479778

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.