Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144513 - 144513
Published: Dec. 1, 2024
Language: Английский
Environmental Monitoring and Assessment, Journal Year: 2025, Volume and Issue: 197(2)
Published: Jan. 15, 2025
Language: Английский
Citations
2
Frontiers in Ecology and Evolution, Journal Year: 2025, Volume and Issue: 13
Published: Feb. 18, 2025
Introduction Machine learning techniques, renowned for their ability to process complex datasets and uncover key ecological patterns, have become increasingly instrumental in assessing ecosystem services. Methods This study quantitatively evaluates individual services—such as water yield, carbon storage, habitat quality, soil conservation—on the Yunnan-Guizhou Plateau years 2000, 2010, 2020. A comprehensive service index is employed assess overall capacity, revealing spatiotemporal variations services exploring trade-offs synergies among them. Additionally, machine models identify drivers influencing services, informing design of future scenarios. The PLUS model used project land use changes by 2035 under three scenarios—natural development, planning-oriented, priority. Based on simulation results these scenarios, InVEST applied evaluate various Results During 2000-2020, exhibited significant fluctuations, driven synergies. Land vegetation cover were primary factors affecting with priority scenario demonstrating best performance across all Discussion research integrates model, providing more efficient data interpretation precise design, offering new insights methodologies managing optimizing Plateau. These findings contribute development effective protection sustainable strategies, applicable both plateau similar regions.
Language: Английский
Citations
1
Land, Journal Year: 2025, Volume and Issue: 14(3), P. 661 - 661
Published: March 20, 2025
Imbalanced supplies and demands of ecosystem services (ESSD) can negatively affect human well-being. Optimizing land use patterns in cities regions is, fact, essential to mitigate this challenge ensure sustainable development. In context, the present study aims analyze supply demand food production (FPs), carbon sequestration (CSs), recreation (RSs) a typical coal resource-based city (Huainan) China. addition, main influencing factors their driving mechanisms were further explored using geographical detector (Geo-Detector) multi-scale geographic weighted regression (MGWR) models. Future changes also predicted under traditional constrained development scenarios GeoSOS-FLUS model. The obtained results indicated that: (1) comprehensive service (ES) index decreased from 1.42 0.84, while increased 0.74 0.95 during 2010–2020 period; (2) urban rural areas had spatial disparities; (3) construction, ecological, cultivated strongly impacted ES; (4) implementing effectively protect ecological land, control expansion, improve ESSD relationships Huainan City. This provides valuable theoretical foundation methodological framework for future optimization efforts, as well enhancing sustainability mitigating imbalance between services.
Language: Английский
Citations
1
Land, Journal Year: 2024, Volume and Issue: 13(10), P. 1566 - 1566
Published: Sept. 26, 2024
Rapid urbanization in developing countries leads to significant land-use and land-cover change (LULCC), which contributes increased carbon dioxide (CO2) emissions the degradation of storage. Studying spatio-temporal changes storage is crucial for guiding sustainable urban development toward neutrality. This study integrates machine-learning random forest algorithm, CA–Markov, InVEST models predict distribution Shenzhen, China, under various scenarios. The findings indicate that, over past two decades, Shenzhen has experienced changes. transformation from high- low-carbon-density land uses, particularly conversion forestland construction land, primary cause loss. Forestland mainly influenced by natural factors, such as digital elevation model (DEM) precipitation, while other (LULC) types are predominantly affected socio-economic demographic factors. By 2030, projected vary significantly across different scenarios, with greatest decline expected scenario (NDS) least ecological priority (EPS). RF-CA–Markov outperforms traditional CA–Markov accurately simulating use, small scattered types. Our conclusions can inform future low-carbon city optimization.
Language: Английский
Citations
4
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: Jan. 2, 2025
Language: Английский
Citations
0
Applied Sciences, Journal Year: 2025, Volume and Issue: 15(3), P. 1319 - 1319
Published: Jan. 27, 2025
Terrestrial ecosystems are vital carbon sinks that can effectively restrain the rise in CO2 atmosphere. How ecosystem storage (CS) semi-arid watershed areas with slow urbanization is affected by comprehensive factors of environment and land use, along its temporal spatial changes has still not been fully explored. Notably, there a paucity research on development trends CS rapid deformation belt slopes from eastern margin Qinghai–Tibet Plateau to Loess Plateau. Taking Bailong River Basin (BRB) as an example, this study combined GeoSOS-FLUS, InVEST model, localized “social–economic–nature” scenario simulate long-term dynamic evolution CS. The aim was how topographic use change, their interactions impact gradient effects steep-slope areas, then find out relationship between explore strategies improve regional sink capacity. results showed following: (1) BRB increased year year, total increase 558 tons (3.19%), significant heterogeneity, mainly due conversion woodland arable land; (2) except for type, inverted U-shaped, showing complex response; (3) it estimated 2050, under protection natural scenarios, will decrease 0.07% 0.005%, respectively, encroachment undeveloped mountain while ecological gives priority protecting grassland, 0.37%. This supports implementation targeted measures through zoning, provides reference policy makers similar regions manage heterogeneity CS, helps further strengthen global climate change mitigation efforts.
Language: Английский
Citations
0
Land, Journal Year: 2025, Volume and Issue: 14(2), P. 326 - 326
Published: Feb. 6, 2025
As a mining country, China faces enormous challenges in the context of global commitment to achieve carbon neutrality. In order this goal, Chinese government is actively promoting green and low-carbon transformation energy system. Consequently, an increasing number mines with poor production capacity depleted resources are being closed down or eliminated, leading large quantity stranded land that now idle. However, process rapid economic development, facing serious problems, such as shortage use conflicts. Abandoned (AML), kind reserve resource, has important regulating role solving dilemma resource tension faced by national spatial planning. realize rational planning utilization AML, study proposes high-precision AML model simulates multiple policy scenarios, using Ningbo City example. The results show great ecological potential; development scenario (EDS) enhanced benefits mine region 396%, protection (EPS) 74.61%, when compared baseline (BAU). overall level optimization follows: EDS > EPS BAU. addition, optimal all three scenarios significantly quality region, enhancement effect was BAU EDS. Therefore, free supporting for territory. Furthermore, it significance scientifically reasonably guide according future efficient improve environment.
Language: Английский
Citations
0
Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown
Published: March 12, 2025
ABSTRACT Rapid global urbanization had significantly altered land use (LU), threatening the ecology and sustainability of arid regions. Systematic forward‐looking analyses changes (LUCs) ecological risks in Asia's zones, particularly urban agglomeration on northern slope Tianshan Mountains (UANSTM), remained limited. Herein, LUCs UANSTM under four scenarios, including ecology‐economy balanced development scenario (EES), protection (EPS), economic (EDS), natural (NDS) 2030, was predicted by employing PLUS model multi‐objective programming (MOP) model. Then, an evaluation system developed from dimensions expansion, risk, food demand, degradation to assess corresponding risk each case. The results showed that: (1) Under scenario, desert bare grassland were found be main LU modes UANSTM, with a significant increase cultivated negligible change water forest; (2) area decreased NDS while areas grassland, forest land, construction increased other especially unused grassland; (3) LU‐induced these scenarios similarities, overall high risks. Among them, 52.04% at relatively high‐risk levels, only 2.97% low‐risk levels. This study reveals diversified different thereby facilitating individualized planning environmental restoration UANSTM.
Language: Английский
Citations
0
Land Degradation and Development, Journal Year: 2025, Volume and Issue: unknown
Published: March 4, 2025
ABSTRACT Carbon stock is a key element of land‐based ecosystems and serves as one the indicators for assessing SDG 15.3, which undergoes direct or indirect effects due to changes in land use. Utilizing central Yunnan urban agglomeration (CYUA) study region, we constructed Markov‐Multi‐Objective‐patch‐generating use simulation (Markov‐MOP‐PLUS) coupled model across four distinct scenarios: sustainable development scenario (SDS), economic (EDS), ecological protection (EPS), natural (NDS) year 2030. The Integrated Valuation Ecosystem Services Trade‐offs (InVEST) was employed carbon spatially identifying comparatively analyzing over time different areas reserves region between 2000 We used optimal parameter geographic detector (OPGD) exploring driving factors spatial differentiation stocks quantitatively 15.3. revealed that according scenarios modeled, region's future expected show expanded watershed construction zones. Water most rapidly EPS, with NDS SDS behind; highest growth rate built‐up EDS, followed by NDS. estimated 2030, under scenarios, are ranked follows: EPS (2.581 × 10 9 tons) > (2.571 (2.570 EDS (2.567 tons), suggesting measures can promote recovery regional ecosystems' stocks. spatiotemporal variation influenced multiple factors, slope being dominant factor region. Furthermore, interactions among these not independent their impact on 15.3.1 indices 2030 all decreasing trend, although situation degradation has improved, none have met 15.3 target. This research offers valuable guidance policymakers working targets planning.
Language: Английский
Citations
0
Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 25, 2025
Amid global climate change, the pursuit of low-carbon development has become a unified international goal. The Qinba Mountain region plays an important role in maintaining China's ecological security, making spatial zoning tailored for carbon neutrality vital local sustainable development. Using land use and socioeconomic data from 2000 to 2020 81 county-level units, neutral framework was developed, considering natural, economic, resource factors. This study further integrated spatiotemporal dynamics index multi-scenario predictions future emission (CE) zoning. results revealed that had overall positive net-carbon trend without significant deficits, central faced increased CE northern weak carrying capacity. predicted continued decrease under scenario reached 30.55 million t by 2060, with only nine units failing reach their peaking 2030. Five different zones were identified: sink functional zone, stabilization high-carbon control zone source optimization zone. Tailored strategies each proposed enhance regional environment contribute green These findings offer insights into achieving regions or cities.
Language: Английский
Citations
0