Evidence map›Paper›PMID 38347359›Full record

ArticleEnvironmental science and pollution research international2024

Urban green and blue infrastructure: unveiling the spatiotemporal impact on carbon emissions in China's Yangtze River Delta.

Ruiwu Zhang, Jun Ying, Rongting Zhang, Yiqi Zhang

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Article in Environmental science and pollution research international, 2024. 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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Ruiwu ZhangCollege of Landscape Architecture and Architecture, Zhejiang A&F University, Hangzhou, 311300, China.
Jun YingCollege of Landscape Architecture and Architecture, Zhejiang A&F University, Hangzhou, 311300, China. yingjunyoyo@163.com.
Rongting ZhangCollege of Landscape Architecture and Architecture, Zhejiang A&F University, Hangzhou, 311300, China.
Yiqi ZhangCollege of Landscape Architecture and Architecture, Zhejiang A&F University, Hangzhou, 311300, China.

Funding

Zhejiang Province Public Welfare Technology Application Research Project LGF22E080006
6 · The paper itself

Abstract

Blue-green infrastructure (BGI) plays a crucial role in regulating urban carbon cycles. Nonetheless, the spatiotemporal effect of BGI on carbon emissions has not received extensive attention. This study used the Yangtze River Delta (YRD) region as the study area and quantified the landscape patterns of BGI. Using a spatiotemporal geographically weighted regression model, we analyzed the impact of evolving spatiotemporal characteristics of BGI on carbon emissions. Additionally, we constructed a spatiotemporal weight matrix using the Moran index ratio to examine the spillover effects of BGI among different regions. Our results show that the aggregation effect of carbon emissions in the YRD region is gradually increasing while BGI has a dynamic impact on carbon emissions. In terms of spatial and temporal spillovers, under the influence of economic connections between regions, patch fragmentation and distance exert a persistent positive influence on carbon emissions, while shape complexity has a negative impact, with area and layout characteristics showing no significant effects. However, area and patch distance have a persistent positive influence on carbon emissions in adjacent areas, while shape complexity exhibits a negative impact. Therefore, optimizing urban BGI through a regional synergistic governance system is important to promote low-carbon urban development.

Indexed as

CarbonRiversCarbon CycleChinaEconomic DevelopmentSpatial RegressionCarbonBlue-green infrastructureCarbon emissionsLandscape indexSpatiotemporal effectsSpatiotemporal weighting matrix

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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.