Identification of Priority Supply Areas for Carbon Sinks Based on Ecosystem Service Flow: A Case Study for the Hexi Region in Northwestern China DOI Creative Commons
Meng Zhu, Yingqing Su, Qi Feng

и другие.

Land, Год журнала: 2024, Номер 13(12), С. 2064 - 2064

Опубликована: Дек. 1, 2024

The development and implementation of regional protection plans for ecosystem carbon storage services have been recognized as crucial actions mitigating global climate change. However, the supply areas sequestration in terms service flows inland regions are still less evaluated. goal this study is to identify priority-ranked sinks. Here, we conducted a case Hexi Region northwestern China proposed framework quantify priority sinks from perspective flows. Firstly, quantified demand by combining models (i.e., Carnegie–Ames–Stanford Approach model soil respiration models) with socioeconomic natural factors. Then, introduced breaking point formula estimate flow, specifically focusing on distance or range. Finally, determined based Zonation model. results showed that significantly higher values were detected Qilian Mountains, ranging 2.0 3.0 t hm−2, comparison desert oasis areas, where ranged 0 0.01 hm−2. urban rural settlements within area characterized emissions compared those Mountains deserts. flow analysis demonstrated middle northern parts area, being lower precipitation sandy landscapes, identified locations low fluxes (<1.0 hm−2). In addition, mountainous main highest sequestration, covering 8.33% total Region. Our findings highlighted importance sustaining targeted ecological practices be implemented going forward.

Язык: Английский

Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project DOI Creative Commons
Kaleem Mehmood, Shoaib Ahmad Anees, Sultan Muhammad

и другие.

Ecology and Evolution, Год журнала: 2025, Номер 15(2)

Опубликована: Фев. 1, 2025

ABSTRACT This study evaluates the Billion Tree Afforestation Project (BTAP) in Pakistan's Khyber Pakhtunkhwa (KPK) province using remote sensing and machine learning. Applying Random Forest (RF) classification to Sentinel‐2 imagery, we observed an increase tree cover from 25.02% 2015 29.99% 2023 a decrease barren land 20.64% 16.81%, with accuracy above 85%. Hotspot spatial clustering analyses revealed significant vegetation recovery, high‐confidence hotspots rising 36.76% 42.56%. A predictive model for Normalized Difference Vegetation Index (NDVI), supported by SHAP analysis, identified soil moisture precipitation as primary drivers of growth, ANN achieving R 2 0.8556 RMSE 0.0607 on testing dataset. These results demonstrate effectiveness integrating learning framework support data‐driven afforestation efforts inform sustainable environmental management practices.

Язык: Английский

Процитировано

6
Multi-Scenario Simulation of Ecosystem Service Value in Beijing’s Green Belts Based on PLUS Model DOI Creative Commons

Ziying Hu,

Siyuan Wang

Land, Год журнала: 2025, Номер 14(2), С. 408 - 408

Опубликована: Фев. 16, 2025

Urbanization and economic growth have substantially modified the land utilization structure, affecting ecosystem services their spatial distribution. As a crucial component of Beijing’s urban framework, city’s green belts, located at periphery its core metropolitan area, play vital role in supplying services. They also represent focal point for use transformation conflicts, making them an important study area. This research utilizes data from 2000, 2005, 2010, 2015, 2020 as primary dataset. It adopts standard equivalent factor integrates it with Patch-Generaling Land Use Simulation (PLUS) model to belts 2035 under three scenarios: natural development scenario (NDS), ecological protection (EPS) cultivated (CPS). The aims analyze project temporal evolution service values (ESVs) different scenarios Beijing. results indicate that (1) is dominated by cropland construction land. Construction has expanded significantly since increasing 500.78 km2, while decreased 488.47 km2. Woodland, grassland, water seen reduction. Overall, there trend woodland being converted into cropland, subsequently transitioning (2) In NDS, increases 91.76 decrease. EDS, decelerates 22.09 reduction decelerates, conversion limited. Grassland remain largely unchanged, experiences slight increase. CPS, notably reduced, 11.97 slightly, grassland decreasing slightly. (3) ESV ranking across follows: EPS 1830.72 mln yuan > CPS 1816.23 NDS 1723.28 yuan. Hydrological regulation climate are dominant all scenarios. attains greatest gains. contributes understanding effects changes on ESV, offering valuable empirical evidence sustainable decision-making swiftly urbanizing areas.

Язык: Английский

Процитировано

1
Equivalent biodiversity area: A novel metric for No Net Loss success in Brazil’s changing biomes DOI
Glauber Fontoura, Luís Freitas, Tatiana Silva

и другие.

Journal of Environmental Management, Год журнала: 2024, Номер 355, С. 120540 - 120540

Опубликована: Март 1, 2024

Язык: Английский

Процитировано

9
Identifying the Coupling Coordination Relationship between Urbanization and Ecosystem Services Supply–Demand and Its Driving Forces: Case Study in Shaanxi Province, China DOI Creative Commons
Jiamin Liu, Hao Wang, Le Hui

и другие.

Remote Sensing, Год журнала: 2024, Номер 16(13), С. 2383 - 2383

Опубликована: Июнь 28, 2024

Exploring the relationship and driving forces between supply–demand of ecosystem services (ESs) urbanization can help solve environmental problems promote regional sustainable development. This study analyzed spatio-temporal distribution characteristics ESs comprehensive level (CUL) in Shaanxi Province from 2010 to 2019 assessed coupling service ratio (ESSDR) CUL using coordination degree (CCD) model. Random forests geographically weighted regression methods were utilized characterize contribution spatial drivers CCD. The results showed that: (1) except for habitat quality, ESSDR other three types as well a decreasing trend, exhibited increasing trend; (2) Although CCD was generally increasing, significant portion (78.51%) regions still remained uncoordinated, with relatively better shown around Guanzhong urban agglomeration, which has higher level; (3) primarily influenced by local financial income, secondary industry, temperature forces. In high CCD, tertiary industry decisive force. areas, there variations These findings provide coupled coordinated perspective ecological management, scientific reference practical guidance cities different development modes.

Язык: Английский

Процитировано

7
Effects of landscape pattern on water quality at multi-spatial scales in Wuding River Basin, China DOI

Chen’guang Zhao,

Peng Li, Zixuan Yan

и другие.

Environmental Science and Pollution Research, Год журнала: 2024, Номер 31(13), С. 19699 - 19714

Опубликована: Фев. 16, 2024

Язык: Английский

Процитировано

4
Spatial Optimization of Land Use and Carbon Storage Prediction in Urban Agglomerations under Climate Change: Different Scenarios and Multiscale Perspectives of CMIP6 DOI
Hao Wu, Yi Yang, Wen Li

и другие.

Sustainable Cities and Society, Год журнала: 2024, Номер unknown, С. 105920 - 105920

Опубликована: Окт. 1, 2024

Язык: Английский

Процитировано

4
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
Carbon Storage Response to Land Use/Land Cover Changes and SSP‐RCP Scenarios Simulation: A Case Study in Yunnan Province, China DOI Creative Commons
Jing Liu, Kun Yang, Shaohua Zhang

и другие.

Ecology and Evolution, Год журнала: 2025, Номер 15(1)

Опубликована: Янв. 1, 2025

ABSTRACT Changes in terrestrial ecosystem carbon storage (CS) affect the global cycle, thereby influencing climate change. Land use/land cover (LULC) shifts are key drivers of CS changes, making it crucial to predict their impact on for low‐carbon development. Most studies model future LULC by adjusting change proportions, leading overly subjective simulations. We integrated Integrated Valuation Ecosystem Services and Trade‐offs (InVEST) model, Patch‐generating Use Simulation (PLUS) Harmonization 2 (LUH2) dataset simulate Yunnan under different SSP‐RCP scenarios economic Within new PLUS‐InVEST‐LUH2 framework, we systematically analyzed alterations effects from 1980 2040. Results demonstrated that: (1) Forestland had highest CS, whereas built‐up land water showed minimal levels. Western areas boast higher while east has lower. From 2020, continuously decreased 29.55 Tg. In wake population increase advancement, area expanded 2.75 times. Built‐up encroaches other categories is a cause reduction CS. (2) 2020 2040, mainly due an forestland, rose 3934.65 Tg SSP1‐2.6 scenario, SSP2‐4.5 primarily forestland grassland areas, declined 3800.86 (3) primary contributor ongoing enlargement causing sustained decline Scenario simulations indicate that changes will have significant Yunnan. Under green sustainable development pathway, can exhibit sink potential. Overall, this research offers scientific reference optimizing management Yunnan, aiding China's “double carbon” goals.

Язык: Английский

Процитировано

0
Impact of landform on Spatial-Temporal distribution and Scenario-Based prediction of carbon stocks in arid Regions: A Case study of Xinjiang DOI
Keyu Song, Weiming Cheng, Baixue Wang

и другие.

CATENA, Год журнала: 2025, Номер 250, С. 108781 - 108781

Опубликована: Янв. 27, 2025

Язык: Английский

Процитировано

0
Developing Strategies for Carbon Neutrality Through Restoration of Ecological Spatial Networks in the Thal Desert, Punjab DOI Creative Commons

Tauqeer Nawaz,

Muhammad Gohar Ismail Ansari, Qiang Yu

и другие.

Remote Sensing, Год журнала: 2025, Номер 17(3), С. 431 - 431

Опубликована: Янв. 27, 2025

Carbon neutrality is an important goal for addressing global warming. It can be achieved by increasing carbon storage and reducing emissions. Vegetation plays a key role in storing carbon, but it often lost or damaged, especially areas affected desertification. Therefore, restoring vegetation these crucial. Using advanced techniques to improve ecosystem structure support ecological processes, enhance soil environmental conditions, encourage growth, boost effectively. This study focuses on optimizing Ecological Spatial Networks (ESNs) revitalization regional development, employing such as the MCR model corridor construction, spatial analysis, Gephi mapping topological attributes. Various metrics were used evaluate network performance, while EFCT was applied optimize ESN maximize sinks. In Thal Desert, source patches (ESPs) divided into four modularity levels (15.6% 49.54%) five communities. The northeastern southwestern regions showed higher functionality lower connectivity, central region exhibited reverse. To structure, 27 51 corridors added 76 existing patches, including 56 forest 20 water/wetland using model. optimized resulted 14.97% improvement sink capacity compared unoptimized primarily due better functioning of wetland areas. Enhanced connectivity between components contributed more resilient stable ESN, supporting both sustainability sequestration.

Язык: Английский

Процитировано

0