The spatiotemporal evolution and prediction of vegetation NPP in the Huangshui River Basin of Qilian Mountains

Frontiers in Environmental Science, Journal Year: 2025, Volume and Issue: 12

Published: Jan. 13, 2025

The Qilian Mountains and Huangshui River Basin (HRB) represent significant ecological functional areas carbon reservoirs within China. estimation prediction of vegetation net primary productivity (NPP) in this area is beneficial for the management China’s terrestrial ecosystems. Nevertheless, existing methods NPP at local scale are characterised by considerable uncertainty error, have not accounted influence multi-factor interactions. Accordingly, study initially sought to quantify data HRB from 2000 2019 through implementation an improved Carnegie-Ames-Stanford Approach (CASA) model. Subsequently, it endeavoured elucidate spatiotemporal evolution patterns influencing factors over years. ConvGRU model was employed investigate prospective trajectory HRB. findings revealed a notable upward annual variation between 2019. majority regions demonstrated increase NPP, although few exhibited decline. Furthermore, correlation PRE, TEMP, SR, NDVI exhibits regional disparities. spatial characteristics future also demonstrate overall increasing trend. Additionally, distribution characteristics, with evident trends hot spot contraction or cold expansion. This provides pivotal theoretical support assessment sequestration status analogous regions.

Language: Английский

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Integrating Ecological Footprint into Regional Ecological Well-Being Evaluation: A Case Study of the Guanzhong Plain Urban Agglomeration, China

Land, Journal Year: 2025, Volume and Issue: 14(4), P. 688 - 688

Published: March 25, 2025

This study incorporated ecological footprint (EF) consumption into a framework to assess well-being. A model and implementation for characterizing regional net well-being were then developed. Using the Guanzhong Plain Urban Agglomeration (GPUA) as case study, land use data from 2000 2020 utilized calculate ecosystem service value (ESV), representing supply side of functions. Simultaneously, EF was assessed demand side. Taking account level economic development characteristics people’s living, evaluation constructed arrive at deficit or surplus situation. The results indicated that: (1) overall ESV GPUA follows trend initial growth followed by decline. Woodland, grassland, farmland are main contributors total ESV, with regulating supporting services accounting more than 80% value. (2) in shows significant upward trend, increasing over 70% on average. carrying capacity has slightly increased, biologically productive area that can support human activities expanding 1909.49 million hectares. Additionally, urban agglomeration cities tended stabilize since 2015. (3) Since 2010, anthropogenic continued exceed capacity, resulting an deficit. average compensation per hectare increased 35.588 CNY 187.110 CNY. offers theoretical foundation definition research providing accurate assessment multiple scales. It is expected this approach will help reduce opportunity costs associated protection, while promoting balanced preservation.

Language: Английский

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High-resolution carbon emission mapping and spatial-temporal analysis based on multi-source geographic data: A case study in Xi’an City, China

Environmental Pollution, Journal Year: 2024, Volume and Issue: 361, P. 124879 - 124879

Published: Sept. 1, 2024

Language: Английский

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City-level synergy and co-benefits of mitigating CO2 emissions and air pollution in China

Heliyon, Journal Year: 2024, Volume and Issue: 10(15), P. e34667 - e34667

Published: July 18, 2024

Synergistic control of carbon emissions and pollutant concentrations can efficiently tackle climate change air pollution. The synergistic performance co-benefits yielded by controlling these factors are urgent critical issues in China. Accordingly, a comprehensive indicator for assessing is pioneered, mitigating CO2 PM2.5 Chinese cities evaluated. dominated variations. In 2015–2020, multiple northeastern, central, southern, eastern exhibited effects greatly reducing emissions. thereafter leads to through environmental economic feedbacks. controls Northeast feature the most profound approximate 4800 CNY per capita, with each contributing 72 % 28 %, respectively, this total. findings provide intercity scientific support policymaking.

Language: Английский

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Spatial spillover effect and driving factors of urban carbon emissions in the Yellow River Basin using nighttime light data

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Aug. 24, 2024

Yellow River Basin (YRB) is a pivotal region for energy consumption and carbon emissions (CEs) in China, with cities emerging as the main sources of regional CEs. This highlights their critical role achieving sustainable development China's neutrality. Consequently, there pressing need detailed exploration urban spillover effects an in-depth analysis complex determinants influencing CEs within YRB. Remote sensing data provide optimal conditions conducting extensive studies across large geographical areas extended time periods. study integrates DMSP/OLS NPP/VIIRS nighttime light datasets longitudinal Using harmonized dataset from 2007 to 2021, this quantifies 58 prefecture-level By combining ESDA, STIRPAT model spatial econometric model, investigation further clarifies empirically driving factors The delineates phase-wise augmentation CEs, converging towards distinct distribution characterized by "lower reach > middle upper reach". autocorrelation tests unravel interplay between agglomeration differentiation patterns underscored pronounced lock-in phenomena. Significantly, demonstrates that urbanization, economic development, structure, green coverage rate, industrial population, technological progress, FDI each exhibit varied direct indirect effect on Furthermore, it elaborates potential policy implications future research directions, offering crucial insights formulating mitigation strategies advance development.

Language: Английский

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High-resolution mapping of carbon dioxide emissions in Guizhou Province and its scale effects

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Sept. 9, 2024

Language: Английский

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Adaptive Nighttime-Light-Based Building Stock Assessment Framework for Future Environmentally Sustainable Management

Remote Sensing, Journal Year: 2024, Volume and Issue: 16(13), P. 2495 - 2495

Published: July 8, 2024

The accumulation of artificially built environment stock during urbanization processes has been actively involved in altering the material and energy use pattern human societies. Therefore, an accurate assessment can provide insights for decision makers to implement appropriate environmentally sustainable retrofitting strategies. This study presents a building estimation enhancement framework (BSEEF) that leverages nighttime light (NTL) accurately assess spatially map stocks. By innovatively integrating region classification module with hybrid region-specified self-optimization module, BSEEF adaptively enhances accuracy across diverse urban landscapes. A comparative case Japan demonstrated significantly outperformed traditional linear regression model, improvements ranging from 1.81% 16.75% different metrics used assessment, providing more estimates. environment/sustainability studies by enabling precise spatial analysis stocks, offering versatile robust adapts technological changes achieves superior without extensive reliance on complex datasets. These advances will make indispensable tool strategic planning development, promoting resilient communities globally.

Language: Английский

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Spatio-temporal characteristics and scenario prediction of carbon emissions from land use in Jiangxi Province, China

International Journal of Environmental Science and Technology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 21, 2024

Language: Английский

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