Investigation of the long-term supply–demand relationships of ecosystem services at multiple scales under SSP–RCP scenarios to promote ecological sustainability in China's largest city cluster

Sustainable Cities and Society, Год журнала: 2024, Номер 104, С. 105295 - 105295

Опубликована: Фев. 23, 2024

Язык: Английский

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Comparison of the CASA and InVEST models’ effects for estimating spatiotemporal differences in carbon storage of green spaces in megacities

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Март 5, 2024

Abstract Urban green space is a direct way to improve the carbon sink capacity of urban ecosystems. The storage assessment megacity spaces great significance service function ecosystems and management zoning in future. Based on multi-period remote sensing image data, this paper used CASA model InVEST analyze spatio-temporal variation driving mechanism Shenzhen discussed applicability two models estimation space. research results showed that, from 2008 2022, addition rapid expansion construction land, area other land types significant decrease trend. that shows trend reduction amounts are 0.8 × 106 t (CASA model) 0.64 (InVEST model), respectively. evaluation show megacities, spatial lower than model, more accurate estimating can provide scientific basis for with goal "dual carbon".

Язык: Английский

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Land Use and Carbon Storage Evolution Under Multiple Scenarios: A Spatiotemporal Analysis of Beijing Using the PLUS-InVEST Model

Sustainability, Год журнала: 2025, Номер 17(4), С. 1589 - 1589

Опубликована: Фев. 14, 2025

The carbon stock in terrestrial ecosystems is closely linked to changes land use. Understanding how use alterations affect regional stocks essential for maintaining the balance of ecosystems. This research leverages and driving factor data spanning from 2000 2020, utilizing Patch-generating Land Use Simulation (PLUS) model alongside InVEST ecosystem services examine temporal spatial storage across Beijing. Additionally, four future scenes 2030—urban development, natural cropland protection, as well eco-protection—are explored, with PLUS models employed emulate dynamic corresponding variations. results show that following: (1) Between resulted a significant decline storage, total reduction 1.04 × 107 tons. (2) From agricultural, forest, grassland areas Beijing all declined varying extents, while built-up expanded by 1292.04 km2 (7.88%), minimal observed water bodies or barren lands. (3) Compared distribution 2030 urban development scenario decreased 6.99 106 tons, highlighting impact rapid urbanization expansion on storage. (4) In ecological protection scenario, optimization structure an increase 6.01 105 tons indicating allocation this contributes restoration enhances sink capacity ecosystem. study provides valuable insights policymakers optimizing perspective offers guidance achievement “dual carbon” strategic objectives.

Язык: Английский

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Assessing land-use changes and carbon storage: a case study of the Jialing River Basin, China

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Июль 10, 2024

Land-use change is the main driver of carbon storage in terrestrial ecosystems. Currently, domestic and international studies mainly focus on impact changes climate, while land-use complex ecosystems are few. The Jialing River Basin (JRB), with a total area ~ 160,000 km

Язык: Английский

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Evolution and Multi-Scenario Prediction of Land Use and Carbon Storage in Jiangxi Province

Forests, Год журнала: 2023, Номер 14(10), С. 1933 - 1933

Опубликована: Сен. 22, 2023

In recent years, escalating global warming and frequent extreme weather events have caused carbon emission reduction to become a pressing issue on scale. Land use change significantly impacts ecosystem storage is crucial factor consider. This study aimed examine the evolutions in land their impact Jiangxi Province, China. Using coupled PLUS-InVEST model, we analyzed spatial patterns alterations of both from 2000 2020 set four scenarios for 2040. Our findings indicated following: (1) From 2020, area cropland, forest, grassland, unused declined, whereas water built-up increased, with changes mainly occurring 2010–2020. (2) due change, Province demonstrated decreasing trend, total 2882.99 × 104 t. (3) By 2040, under dual protection scenario cropland ecology, expansion will be most restricted among scenarios, largest projected was foreseen. suggests that loss can minimized by focusing ecological conservation, especially forests. research facilitate policy decisions balance economic development environmental future.

Язык: Английский

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Trend Classification of InSAR Displacement Time Series Using SAE–CNN

Remote Sensing, Год журнала: 2023, Номер 16(1), С. 54 - 54

Опубликована: Дек. 22, 2023

Multi-temporal Interferometric Synthetic Aperture Radar technique (MTInSAR) has emerged as a valuable tool for measuring ground motion in wide area. However, interpreting displacement time series and identifying dangerous signals from millions of InSAR coherent targets is challenging. In this study, we propose method combining stacked autoencoder (SAE) convolutional neural network (CNN) to classify ease the interpretation movements. The are classified into five categories, including stable, linear, accelerating, deceleration, phase unwrapping error (PUE). accuracy labeled samples reaches 95.1%, reflecting performance proposed method. This was applied results Kunming extracted 171 ascending Sentinel-1 images January 2017 September 2022. classification map shows that stable points dominate around 79.28% area, with linear patterns at 10.70%, decelerating 5.30%, accelerating 4.72%, PUE 3.60%. demonstrate can distinguish different features detect nonlinear deformation on large scale without human intervention.

Язык: Английский

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Multi-Scenario Simulation Assessment by utilising PLUS and InVEST Model on the effect of Land Use and Carbon Storage Changes in Hohhot

Environmental and Sustainability Indicators, Год журнала: 2025, Номер unknown, С. 100655 - 100655

Опубликована: Март 1, 2025

Язык: Английский

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Spatiotemporal evolution and influencing factors of carbon stock in the water receiving areas from the perspective of carbon neutrality

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Апрель 15, 2025

Water resources of water transfer projects are not only used to solve the scarcity problem in water-receiving area but also change regional carbon absorption capacity. Using Jiangsu-Shandong section East Route South-to-North Diversion Project (ER-SNWDP) China as a case study, this study explored dynamic variation stocks response diversion project context neutrality. The results showed that (1) After ER-SNWDP came into operation, there was trend growth area. Based on multi-scenario simulation, under scenario, built-up land expansion would be curbed, forest and grassland reductions alleviated, areas increase significantly compared natural scenario. (2) Due implementation project, research had better sequestration Under scenario from 2015 2025, stock decrease by 1228.35 × 104 t. However, an 262.84 In addition, resource allocation may affect spatial distribution stocks. northeast region, particularly Binzhou Dongying with large volumes, significant, center gravity tended tilt these areas. (3) Land use highest explanatory power driving force for According interaction factor analysis, strongest after 2005 "land ∩ nighttime lights", indicating between socio-economic factors gradually amplified impact This provides scientific basis future planning, promotes rational optimal resources, prospective reference cope climate achieve

Язык: Английский

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Spatio-temporal variations in carbon sources, sinks and footprints of cropland ecosystems in the Middle and Lower Yangtze River Plain of China, 2013–2022

Scientific Reports, Год журнала: 2025, Номер 15(1)

Опубликована: Май 9, 2025

Язык: Английский

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Projecting the response of carbon sink potential to land use/land cover change in ecologically fragile regions

Frontiers in Environmental Science, Год журнала: 2024, Номер 12

Опубликована: Июнь 24, 2024

Introduction: The carbon storage service of ecosystems in ecologically fragile areas is highly sensitive to regional land use/land cover (LULC) changes. Predicting changes under different LULC scenarios crucial for use management decisions and exploring sink potential. This study focuses on the Luan River Basin, a typical area, analyze impact storage. Methods: PLUS-InVEST model was employed simulate patterns year 2030 three scenarios: natural development, cropland protection urban ecological protection. projected future potential basin these scenarios. Results: From 2000 2020, showed trend decrease followed by an increase. By 2030, compared increase 16.97% scenario 22.14% development scenario. primarily due conversion grassland forestland, while mainly associated with forestland cropland, transformation construction land. In certain regions within exhibited unstable potential, strongly influenced These were predominantly characterized artificially cultivated forests, shrubs, agricultural Implementing appropriate forest measures optimizing practices are essential enhance regions. Population density, annual average temperature, DEM (Digital Elevation Model) dominant factors driving spatial variation Basin. Discussion: research results provide theoretical basis rational planning enhancement

Язык: Английский

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