Fuel Load Models for Different Tree Vegetation Types in Sichuan Province Based on Machine Learning DOI Open Access
Hongrong Wang,

H.F. Chen,

Fan Wu

et al.

Forests, Journal Year: 2024, Volume and Issue: 16(1), P. 42 - 42

Published: Dec. 29, 2024

(1) Objective: To improve forest fire prevention, this study provides a reference for risk assessment in Sichuan Province. (2) Methods: This research focuses on various vegetation types Given data from 6848 sample plots, five machine learning models—random forest, extreme gradient boosting (XGBoost), k-nearest neighbors, support vector machine, and stacking ensemble (Stacking)—were employed. Bayesian optimization was utilized hyperparameter tuning, resulting models predicting fuel loads (FLs) across different types. (3) Results: The FL model incorporates not only characteristics but also site conditions climate data. Feature importance analysis indicated that structural factors (e.g., canopy closure, diameter at breast height, tree height) dominated cold broadleaf, subtropical mixed forests, while mean annual temperature seasonality) were more influential coniferous forests. Machine learning-based outperform the multiple stepwise regression both fitting ability prediction accuracy. XGBoost performed best coniferous, with coefficient of determination (R2) values 0.79, 0.85, 0.81, 0.83, respectively. Stacking excelled achieving an R2 value 0.82. (4) Conclusions: establishes theoretical foundation capacity It is recommended be applied to predict broadleaf suggested FLs Furthermore, offers management, assessment, prevention control

Language: Английский

Labour market evolution is a key determinant of global agroeconomic and environmental futures DOI
Di Sheng, Jae Edmonds, Pralit Patel

et al.

Nature Food, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 2, 2025

Language: Английский

Citations

2
Large disagreements in estimates of urban land across scales and their implications DOI Creative Commons
TC Chakraborty, Zander S. Venter, Matthias Demuzere

et al.

Nature Communications, Journal Year: 2024, Volume and Issue: 15(1)

Published: Oct. 24, 2024

Improvements in high-resolution satellite remote sensing and computational advancements have sped up the development of global datasets that delineate urban land, crucial for understanding climate risks our increasingly urbanizing world. Here, we analyze land cover patterns across spatiotemporal scales from several such current-generation products. While all show a rapidly world, with nearly tripling between 1985 2015, there are substantial discrepancies area estimates among products influenced by scale, differing definitions, methodologies. We discuss implications these use cases, including monitoring hazards modeling urbanization-induced impacts on weather regional to scales. Our results demonstrate importance choosing fit-for-purpose examining specific aspects historical, present, future urbanization sustainable development, resource allocation, quantification impacts.

Language: Английский

Citations

9
Predicting the impact of dynamic global urban expansion on urban soil organic carbon DOI Creative Commons

Lingxia Feng,

Junjie Jiang, Junguo Hu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Jan. 14, 2025

Urban expansion has triggered significant changes in soil organic carbon (SOC), profoundly affecting the global cycle. The accurate prediction of distribution urban SOC and assessment impact future on are essential for management. By using data from 377 locations, this study estimated projected under two socioeconomic scenarios: SSP126 SSP585. results showed that compared with density 2000 (64.75 Mg C ha− 1), by 2100 decreased 1.19% 4.72% SSP585 scenarios, respectively. However, stocks increased 66.13% 178.75% SSP585, respectively, reflecting a "carbon transfer" natural ecosystems to land use. This provides critical insights into dynamics underscores necessity balance ecosystem protection reduce loss stabilise balance.

Language: Английский

Citations

0
Turbulence Theory for the Characterization of the Surface Urban Heat Island Signature DOI Creative Commons
Gabriel I. Cotlier, Juan C. Jiménez‐Muñoz, José A. Sobrino

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 620 - 620

Published: March 14, 2025

Urban heat islands (UHIs) constitute one of the most conspicuous anthropogenic impacts on local climates, characterized by elevated land surface temperatures in urban areas compared to surrounding rural regions. This study represents a novel and comprehensive effort characterize spectral signature SUHI through lens two-dimensional (2D) turbulence theory, with particular focus identifying energy cascade regimes their climatic modulation. The theory turbulence, first described Kraichnan Batchelor, predicts two distinct regimes: an inverse at larger scales (low wavenumbers) direct enstrophy smaller (high wavenumbers). These cascades can be detected spatial power spectra analysis, offering scale-dependent understanding phenomenon. Despite theoretical appeal, empirical validation 2D hypothesis thermal landscapes remains scarce. aims fill this gap analyzing across 14 cities representing diverse zones, capturing varied morphologies, structures, materials. We analyzed multi-decadal LST datasets compute summer winter seasons, breakpoints that separate large-scale retention from small-scale dissipative processes. findings reveal systematic deviations classical scaling laws, slopes before breakpoint ranging ~K−1.6 ~K−2.7 ~K−1.5 ~K−2.4 summer, while post-breakpoint steepened significantly ~K−3.5 ~K−4.6 ~K−3.3 ~K−4.3 summer. suggest is modulated anisotropic heterogeneities, mesoscale instabilities, seasonally dependent dissipation mechanisms. Notably, desert Mediterranean climates exhibited pronounced dissipation, whereas oceanic humid subtropical showed more gradual transitions, likely due differences moisture availability convective mixing. results underscore necessity incorporating into climate models better capture nature exchange. observed offer diagnostic tool for critical which mitigation strategies—such as green infrastructure, optimized ventilation, reflective materials—can effective. Furthermore, our highlight importance regional context shaping distributions, necessitating climate-specific design interventions. By advancing research contributes broader discourse sustainable development resilience warming world.

Language: Английский

Citations

0
Exploring the spatial effects of rapid urbanization on land use efficiency in China under Low-Carbon constraints DOI

Chuanjian Yi,

Bo Xu,

Xiaoyan Shi

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113442 - 113442

Published: April 12, 2025

Language: Английский

Citations

0
Environmental impacts of urban growth and land use changes in tropical cities DOI Creative Commons
Timothy O. Ogunbode, Victor O. Oyebamiji,

David Olabanjo Sanni

et al.

Frontiers in Sustainable Cities, Journal Year: 2025, Volume and Issue: 6

Published: Jan. 22, 2025

Urban centers across the globe are undergoing rapid land use changes due to population growth, economic development, and urbanization. These have a profound impact on environmental dynamics urban livelihoods. This study investigates their implications livelihoods in Iwo, Nigeria. The research explores patterns drivers of over past four decades evaluates effects quality A combination remote sensing survey methods was employed. Landsat images from 1982 2023 were analyzed using supervised classification techniques map cover categories such as built-up areas, vegetation, farmland, bare land, water bodies. Additionally, conducted with 550 residents, selected through simple random sampling, identify key expansion residents’ perspectives. Descriptive analysis revealed that most respondents had lived Iwo for 30 years, many engaged farming, trading, civil service. Factor used significant variables driving growth. results indicate substantial increase 9.30 km 2 30.69 2023, alongside decrease vegetation cover. Farmland area showed an increasing trend, while decreased. Key growth identified include religious activities, availability resources, small-scale businesses, government initiatives, educational institutions. deforestation, reduced green spaces, increased surface runoff, pollution, which affect air quality, biodiversity. highlights importance sustainable planning balance preservation social equity. implementation infrastructure, effective waste management, comprehensive policies is crucial enhancing resilience life Iwo.

Language: Английский

Citations

0
Carbon neutral spatial zoning and optimization based on land use carbon emission in the qinba mountain region, China DOI Creative Commons
Jingeng Huo,

Zhenqin Shi,

Wenbo Zhu

et al.

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
Three Decades of Land Cover Changes Shifted Environment‐Driven Greening Towards Browning in Coastal China DOI
Y. T. Liang, Yan Sun, Zaichun Zhu

et al.

Global Change Biology, Journal Year: 2025, Volume and Issue: 31(3)

Published: March 1, 2025

Coastal vegetation serves as a protective buffer against the deleterious impacts of storm surges, influencing dynamic exchange energy and matter mediating lateral transport carbon from land to ocean. Comprehensive understanding coastal dynamics is crucial for sustaining ecological biogeochemical functions ecosystems. Despite considerable influence cover change (LCC) on greenness, quantifying this impact along rapidly developing Chinese coasts amid significant social economic changes over past decades remains inadequately addressed. In study, using moderate-resolution Landsat-based Normalized Difference Vegetation Index (NDVI), we found that LCC generally reduced greenness shifted environment-driven greening towards browning in China three decades. Compared 'Stable Land Cover areas', 'Land Change areas' exhibited 23% decrease proportion 39% increase proportion. Urbanization occurring regions during 1992-2018 dominated effect 29% 'LCC which outweighed climate change, CO2 fertilization, nitrogen enrichment. This negative urbanization was scarcely compensated by afforestation, despite concurrent implementation National Shelterbelt System Construction Project (NCSSCP). The afforestation area under green scenario (SSP1-2.6) 2030-2060 projected be substantially higher than 30 years. It expected mitigate enhance ecosystem sustainability through conservation policies, particularly forest restoration zone China. Furthermore, insights derived satellite observations study will serve fundamental information representing next generation Earth system models (ESMs), enhancing predictions related future function adaptation.

Language: Английский

Citations

0
The Impacts of Urbanization on Carbon Emission Performance: New Evidence from the Yangtze River Delta Urban Agglomeration, China DOI Creative Commons

Wenyi Qiao,

Y. N. Xie,

Jun Liu

et al.

Land, Journal Year: 2024, Volume and Issue: 14(1), P. 12 - 12

Published: Dec. 25, 2024

Regarding the carbon emission performance of urbanization, changes in emissions and sinks have attracted particular attention, while internal impact mechanism has been under-researched. Conventionally, urbanization either improved or hindered performance. However, this is not always case as paths affecting are diverse. Hence, paper proposes a theoretical framework to investigate how influences performance, specifically indirect effects land development/land-use efficiency, by taking Yangtze River Delta urban agglomeration, China, study case. Empirical results show that improves due agglomeration effect. As an intermediary pathway, land-use change two-sided on Urbanization can both worsen improve through increasing land-development intensity promoting respectively. positive efficiency alleviate problem caused over-development. integration planning strategies with use management policies help achieve sustainable urbanization.

Language: Английский

Citations

2
Agroeconomic and environmental implications of future labor market evolution DOI
Xin Zhao, Di Sheng, Jae Edmonds

et al.

Research Square (Research Square), Journal Year: 2024, Volume and Issue: unknown

Published: May 16, 2024

Abstract Long-term labor market evolution shapes agricultural transformation through productivity growth and transitions. Despite its importance in production, has been overlooked when exploring the agrifood-water-environment-climate nexus. Here, we incorporate evolving markets into multisector dynamic modeling to examine their agroeconomic environmental implications. Our projections show that recent decline of global employment persists, with an estimated decrease over 40 million people per decade by 2100, strengthening decoupling from production. Exploring scenarios varying supply factors, illustrate a critical linkage between dynamics change, positive relationship productivity-adjusted emissions more pronounced regional sectoral responses. While highlighting pressing need capture integrated human-Earth systems, our study lays foundation for further investigation responses feedback broader scenarios.

Language: Английский

Citations

1