A Multi Source Data-Based Method for Assessing Carbon Sequestration of Urban Parks from a Spatial–Temporal Perspective: A Case Study of Shanghai Century Park DOI Creative Commons

Yiqi Wang,

Jiao Yu,

Weixuan Wei

и другие.

Land, Год журнала: 2024, Номер 13(11), С. 1914 - 1914

Опубликована: Ноя. 14, 2024

As urbanization accelerates globally, urban areas have become major sources of greenhouse gas emissions. In this context, parks are crucial as significant components carbon sinks. Using Shanghai Century Park a case study, study aims to develop an applicable and reliable workflow accurately assess the sequestration capacity from spatial–temporal perspective. Firstly, random forest model is employed for biotope classification mapping in park based on multi-source data, including raw spectral bands, vegetation indices, texture features. Subsequently, Net Primary Productivity biomass different types calculated, enabling dynamic monitoring park’s 2018 2023. Moreover, explores main factors influencing changes management The findings reveal: (1) application imagery data enhances accuracy mapping, with winter proving more precise classification. (2) From 2023, Park’s showed fluctuating upward trend, variations abilities within park. (3) Renovation construction work related significantly impacted capacity. Finally, proposes optimization strategies focused species selection layout, planting density, management.

Язык: Английский

Investigating the Dynamic Change and Driving Force of Vegetation Carbon Sink in Taihang Mountain, China DOI Creative Commons
Qiushi Qu,

Sihui Jian,

Anguo Chen

и другие.

Land, Год журнала: 2024, Номер 13(9), С. 1348 - 1348

Опубликована: Авг. 24, 2024

Vegetation plays an important role in absorbing carbon dioxide and accelerating the achievement of neutrality. As ecological barrier North China, Taihang Mountains are pivotal to construction project China. Nevertheless, dynamic development vegetation sink region impact factors on have not been systematically evaluated. This study employed a comprehensive approach, utilising remote sensing technology meteorological topographic data, conjunction with net ecosystem productivity (NEP) estimation model reveal characteristics sinks Mountain, then revealed dynamics evolution NEP inter-annual trend by using Theil–Sen Median slope estimation, Mann–Kendall test, coefficient dissociation analysed driving roles influencing parameter optimal geographic detector. Our findings suggest that Mountain area has clear growth time, average value is 289 gC-m−2-a−1 from 2000 2022, spatial distribution shows high northeast low middle west, gradual increase southwest; areas fluctuation mainly distributed around some cities susceptible interference natural or anthropogenic factors. The influenced variety factors, among which explanatory power each factor as follows: DEM (0.174) > temperature (0.148) precipitation (0.026) (0.017) direction (0.003). had strongest for changes, two-by-two effects were all significantly stronger than single factor, interaction between power; distinguishing climate change contribution activities changes more 90% Mountainous Region was 60%, force change. results this can only provide reference reduction restoration projects but also benefit research paradigm sequestration other regions.

Язык: Английский

Процитировано

3

Constructing ecological security patterns using remote sensing ecological index and circuit theory: A case study of the Changchun-Jilin-Tumen region DOI
Lulu Zhang, Qiuyun Liu, Jie Wang

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 373, С. 123693 - 123693

Опубликована: Дек. 13, 2024

Язык: Английский

Процитировано

3

Network Meta-Analysis of Factors Influencing the Carbon Sink Capacity of Urban Park Green Spaces DOI Creative Commons

Ying-Chao Ji,

Tianyi LIN,

Lian Liu

и другие.

Landscape Architecture, Год журнала: 2025, Номер 32(1), С. 23 - 31

Опубликована: Янв. 1, 2025

Objective This research mainly aims to identify the primary interactions between factors influencing carbon sink capacity of urban park green spaces and recognize most effective landscape design strategies, thereby providing a foundational data set for further development repository lifecycle strategies spaces. In light increasingly prominent role in mitigating climate change, also seeks highlight that balance ecological functions with recreational aesthetic needs. Method employs network Meta-analysis method explore critical sequestration potential spaces, conduct systematic quantitative assessment their respective capacity. The categorizes statistically analyzes various currently involved relevant affect whose cumulative impacts are assessed using method. incorporates evidence plots, league tables, SUCRA (surface under ranking curves) evaluate relative importance different factors. Additionally, heterogeneity, bias, errors examined through subgroup analyses based on scale (a), functional characteristics (b), climatic conditions (c), accompanied by evaluation publication bias funnel plots. Results analysis this involves 50 eligible literature articles published 2000 2024, which selected from total 952 initially collected. identifies 34 factors, categorized into five distinct clusters: Design characteristics, habitat composition, planting maintenance methods, external environment. results emphasize multidimensionality parks. practices emerge as stable broadly applicable Their values rank highest, reflecting consistent contribution across diverse settings. For instance, controlling proportions grasslands pathways at 20% 30%, respectively, optimizing storage while maintaining value. Maintenance often act other enhance capacity, such native tree species, selecting natural materials, designing low-maintenance sites reduce cost maintenance. Habitat composition show significant influence specific scenarios. Fast-growing species large-canopy demonstrate strong initial subsequent maintenance, including pruning, is essential sustain long-term benefits. Conversely, reveals high particularly influenced density vegetation diversity. Planting methods hold enhancing parks, multi-layered structures but require careful adjustments avoid excessive shading competition, achieving more efficient sequestration. environment generally weaker still requires attention geographical location, conditions, soil types parks lead certain differences. Subgroup type shows objects dominated temperate climates higher presumably because longitudinal differences regions large, plant environments large measurement Conclusion provides insights interplay shaping emphasizing like While offer substantial localized benefits, variability necessitates tailored interventions informed social contexts. To advance neutrality efforts, future should integrate these findings practical tools, enhanced modules performance platforms. These allow assessments account design, construction, phases, thus supporting real-time monitoring optimization. leveraging human-machine collaboration intelligent workflows can decision-making combining human expertise. Future expand system composite space, so fill gaps sinks special environments, enrich used.

Язык: Английский

Процитировано

0

Relevance of carbon sink to ecological sensitivity in terraced agroforestry ecosystems under tourism interference DOI Creative Commons

Mengwei Han,

Shuaipu Zhang,

Junfeng Dai

и другие.

Ecological Indicators, Год журнала: 2025, Номер 171, С. 113179 - 113179

Опубликована: Фев. 1, 2025

Язык: Английский

Процитировано

0

Detection of driving factors and critical thresholds for carbon sequestration capacity in urban agglomerations using a combined causal inference and machine learning approach DOI Creative Commons
Yin Zhang, Weibo Ma, Nan Wang

и другие.

GIScience & Remote Sensing, Год журнала: 2025, Номер 62(1)

Опубликована: Март 24, 2025

The carbon sequestration capacity in urban agglomeration ecosystems is crucial for enhancing scientific understanding of the cycle and promoting sustainable development to mitigate climate change. However, existing studies on driving factors, particularly regarding determining causal mechanisms critical thresholds remain unclear. To address this knowledge gap, we propose a CMSC framework which integrates inference machine learning methods reveal underlying determine drivers affecting Yangtze River Delta (YRDUA). were heterogeneous between municipal county non-municipal YRDUA. nighttime light, surface solar radiation downwards, air temperature, total precipitation population density that impacted (municipal) counties YRDUA 0.04 (0.4) nW·cm−2·sr−1·yr−1, −6.1 × 104 (−5.46 104) J·m−2·yr−1, 0.013 (0.017) K·yr−1, 3.64 10−5 (2.51 10−5) m·yr−1 −0.04 people·km−2·yr−1, respectively. Furthermore, long-term (from 2021 2100) dataset with county-level scale was generated using inference-based model. In context neutrality, found optimal emission scenario low-carbon SSP3, under average most will exceed 1 107 t. Our study provides constructive basis science-based ecological management China.

Язык: Английский

Процитировано

0

Exploring Suitable Urban Plant Structures for Carbon-Sink Capacities DOI Creative Commons

Hyeseon Eom,

Yeeun Shin,

Sang‐Woo Lee

и другие.

Land, Год журнала: 2025, Номер 14(4), С. 849 - 849

Опубликована: Апрель 13, 2025

Urban parks, a type of urban green space, help mitigate environmental pollution and climate change by absorbing storing atmospheric carbon. Optimizing their carbon-sink capacity requires thoughtful plant community design considering multiple factors. This study analyzed South Korean parks using QGIS i-Tree Eco, integrating satellite imagery with field surveys at both spatial tree scales. Park spaces were classified into six types based on the biotope criteria established in this study. Random forest regression was applied to each identify key variables influencing annual carbon sequestration storage. The relationship between maturity examined for ten dominant species, offering insights selection. Higher coverage more deciduous species linked efficiency While variable importance varied slightly across types, density most influential sequestration, diameter breast height age These findings provide integrated short-term long-term storage, as well strategic directions structuring communities ecosystems. offers empirical evidence designing carbon-efficient contributing sustainable landscape strategies.

Язык: Английский

Процитировано

0

Spatial and temporal vegetation dynamics from 2000 to 2023 in the Western Himalayan regions DOI
Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad

и другие.

Stochastic Environmental Research and Risk Assessment, Год журнала: 2025, Номер unknown

Опубликована: Апрель 18, 2025

Язык: Английский

Процитировано

0

Spatial Pattern and Influence Mechanisms of Forest Land Quality under the Background of Carbon Peaking and Carbon Neutrality: A Case Study in Kaizhou District, Chongqing, China DOI Creative Commons

Shasha Lu,

Pan Zhang, Jiayi Zhang

и другие.

Land, Год журнала: 2024, Номер 13(10), С. 1645 - 1645

Опубликована: Окт. 9, 2024

Since the goals of carbon peaking and neutrality have been established, forest sinks garnered significant attention. As a fundamental component sinks, quality land significantly influences sink capacity forests. This study utilized Kaizhou District, Chongqing City, typical area as case study, used correction method, factor CASA model, landscape ecology indexes, canonical correlation analysis to evaluate level reveal spatial distribution pattern influencing mechanisms quality. The results showed that: (i) index public welfare was distributed in [37.89, 148.15], each diversified space. commodity [40.00, 92.67], some high-quality appeared transition zone region; (ii) amount net primary productivity passed test. Primary higher on with lower low-quality index; (iii) mainly positively affected by community structure, average annual precipitation, temperature, soil moisture. Commodity moisture, slope aspect. However, landform had negative impact two types land. Given these findings, we also proposed series measures aimed at promoting sustainable development research regional

Язык: Английский

Процитировано

1

A Multi Source Data-Based Method for Assessing Carbon Sequestration of Urban Parks from a Spatial–Temporal Perspective: A Case Study of Shanghai Century Park DOI Creative Commons

Yiqi Wang,

Jiao Yu,

Weixuan Wei

и другие.

Land, Год журнала: 2024, Номер 13(11), С. 1914 - 1914

Опубликована: Ноя. 14, 2024

As urbanization accelerates globally, urban areas have become major sources of greenhouse gas emissions. In this context, parks are crucial as significant components carbon sinks. Using Shanghai Century Park a case study, study aims to develop an applicable and reliable workflow accurately assess the sequestration capacity from spatial–temporal perspective. Firstly, random forest model is employed for biotope classification mapping in park based on multi-source data, including raw spectral bands, vegetation indices, texture features. Subsequently, Net Primary Productivity biomass different types calculated, enabling dynamic monitoring park’s 2018 2023. Moreover, explores main factors influencing changes management The findings reveal: (1) application imagery data enhances accuracy mapping, with winter proving more precise classification. (2) From 2023, Park’s showed fluctuating upward trend, variations abilities within park. (3) Renovation construction work related significantly impacted capacity. Finally, proposes optimization strategies focused species selection layout, planting density, management.

Язык: Английский

Процитировано

0