Evidence map›Paper›PMID 40733384›Full record

ArticlePlants (Basel, Switzerland)2025

Analysis of Carbon Density Influencing Factors and Ecological Effects of Green Space Planning in Dongjiakou Port Area.

Yuanhao Guo, Yaou Ji, Qianqian Sheng, Cheng Zhang, Ning Feng, Guodong Xu, Dexing Ma, Qingling Yin, Yingdong Yuan, Zunling Zhu

Abstract read
In one paragraph

Article in Plants (Basel, Switzerland), 2025. 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
–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

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

10 authors.

Yuanhao GuoCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
Yaou JiCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
Qianqian ShengCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
Cheng ZhangCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
Ning FengQingdao Municipal Engineering Design and Research Institute Co., Ltd., Qingdao 266000, China.
Guodong XuQingdao Municipal Engineering Design and Research Institute Co., Ltd., Qingdao 266000, China.
Dexing MaQingdao Municipal Engineering Design and Research Institute Co., Ltd., Qingdao 266000, China.
Qingling YinQingdao Municipal Engineering Design and Research Institute Co., Ltd., Qingdao 266000, China.
Yingdong YuanQingdao Municipal Engineering Design and Research Institute Co., Ltd., Qingdao 266000, China.
Zunling ZhuCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.

Funding

Postgraduate Research & Practice Innovation Program of Jiangsu Province KYCX25_1471"Qing LanProject" in Jiangsu Province of China the APC was funded by Qianqian ShengThe National Natural Science Foundation of China 32071832The National Natural Science Foundation of China 32101582The National Natural Science Foundation of China 32471942Young elite scientist sponsorship program by cast in China Association for Science and Technology YESS20220054
6 · The paper itself

Abstract

Port green spaces are essential protective barriers, enhancing safety and environmental resilience in high-activity port regions. Given the intensity of human activities in these areas, understanding the factors influencing the carbon sequestration capacity and ecological benefits of port green spaces is crucial for developing sustainable green ports. This study integrated field investigations and remote sensing data to estimate carbon density and carbon sequestration capacity in the Dongjiakou Port area, examining their relationship with port green space planning. The results indicated that carbon density in green spaces showed a significant negative correlation with the number of lanes in adjacent roads, where an increase in lane numbers corresponded to lower carbon density. Additionally, carbon density decreased significantly with increasing distance from the shipping center. In contrast, a significant positive correlation was observed between carbon density and distance from large water bodies, indicating that green spaces closer to large water bodies exhibited smaller carbon density. Infrastructure development in Dongjiakou substantially negatively impacted vegetation carbon sequestration capacity, with effects not reversible in the short term. However, green space enhancement efforts provided additional ecological benefits, leading to a 50.9 ha increase in green space area. When assessing carbon density in urbanizing areas, geographical influences should be prioritized. Furthermore, the long-term environmental impacts of urban expansion must be considered at the early planning stages, ensuring the implementation of proactive protective measures to mitigate potential ecological disruptions.

Indexed as

carbon storageport greeningurban planning and development

Identifiers

PMID40733384
PMCPMC12300232

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Registered trials

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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.