Variation Patterns and Climate-Influencing Factors Affecting Maximum Light Use Efficiency in Terrestrial Ecosystem Vegetation DOI Open Access
Duan Huang, Yue He,

Shilin Zou

et al.

Forests, Journal Year: 2025, Volume and Issue: 16(3), P. 528 - 528

Published: March 17, 2025

Accurately understanding the changes in global light-response parameters (i.e., maximum light use efficiency, LUEmax) is essential for improving simulation of terrestrial ecosystem’s photosynthetic carbon cycling under climate change, but a comprehensive and assessments are still lacking. In this study, LUEmax was quantified using data from 23 flux stations, change patterns across various vegetation types zones were analyzed. The extent significant increases or decreases during different phenological stages growth evaluated trend analysis methods. contribution rates environmental factors determined Geodetector method. results show that values same type varied types. More variable climates (e.g., polar alpine climates) associated with more fluctuations LUEmax. Conversely, stable temperate tend to consistent values. Within type, evergreen needleleaf forests (ENF) deciduous broadleaf (DBF) generally exhibited higher continental climates, whereas wetlands (WET) relatively high climates. mechanisms driving variations disparities diverse conditions. For ENF DBF, predominantly influenced by temperature radiation. contrast, GRA, WET, croplands closely indices factors. findings study play an important role advancing theoretical development gross primary productivity (GPP) models enhancing accuracy sequestration simulations ecosystems.

Language: Английский

Multi-Scenario Simulation of Land Use Change and Ecosystem Service Value Based on the Markov–FLUS Model in Ezhou City, China DOI Open Access
Maomao Zhang, Enqing Chen, Cheng Zhang

et al.

Sustainability, Journal Year: 2024, Volume and Issue: 16(14), P. 6237 - 6237

Published: July 22, 2024

Changes in land use patterns, types, and intensities significantly impact ecosystem services. This study follows the time series logic from history to expected future investigate spatial temporal characteristics of changes Ezhou their potential impacts on services value (ESV). The results show that Markov–FLUS model has strong applicability predicting pattern use, with a Kappa coefficient 0.9433 FoM 0.1080. Between 2000 2020, construction expanded continuously, while water area remained relatively stable, other types experienced varying degrees contraction. Notably, compared 2000, it by 70.99% 2020. Moreover, watershed 9.30% 2010, but there was very little change following 10 years. Under three scenarios, significant differences were observed City, driven human activities, particularly expansion land. In inertial development scenario, 313.39 km2 2030, representing 38.30% increase Conversely, under farmland protection increased 237.66 km2, 4.89% rise However, ecological priority 253.59 10.13% Compared ESV losses inertia scenarios USD 4497.71 1072.23, respectively, 2030. scenario 2749.09, emphasizing importance prioritizing City’s development. may provide new clues for formulation regional strategies sustainable restoration.

Language: Английский

Citations

32
Impact of Urban Surfaces on Microclimatic Conditions and Thermal Comfort in Burdur, Türkiye DOI Creative Commons
Maomao Zhang, İlker Yiğit, Fatih Adıgüzel

et al.

Atmosphere, Journal Year: 2024, Volume and Issue: 15(11), P. 1375 - 1375

Published: Nov. 14, 2024

Rapid urbanization worldwide offers numerous benefits but also introduces challenges, particularly concerning urban climate comfort, which affects the physical and social well-being in cities. This study examined microclimatic characteristics of Burç neighborhood historical core Burdur city, using ENVI-Met models with temperature, relative humidity, wind PET data collected over a 33,665 m2 area at 06:00, 09:00, 12:00, 15:00, 18:00 21:00 on 15 August 2023. The analysis revealed that thermal comfort decreases significantly from 09:00 onwards, especially hard surfaces like asphalt, concrete parquet, lack vegetation intensify heat retention. By contrast, green areas were found to enhance bioclimatic by reducing perceived temperatures up 20% shaded vegetated zones. Based these findings, it is recommended reduce heat-absorbing materials, such as asphalt prioritize spaces landscape planning improve create more sustainable environments.

Language: Английский

Citations

11
Spatiotemporal Changes and Influencing Factors of the Coupled Production–Living–Ecological Functions in the Yellow River Basin, China DOI Creative Commons
Zeyu Lu, Maomao Zhang, Chunguang Hu

et al.

Land, Journal Year: 2024, Volume and Issue: 13(11), P. 1909 - 1909

Published: Nov. 14, 2024

The imbalance in the “production–living–ecology” function (PLEF) has become a major issue for global cities due to rapid advancement of urbanization and industrialization worldwide. realization PLEF coupling coordination is crucial region’s sustainable development. Existing research defined concept from perspective land measured its level using relevant models. However, there still room improvement indicator system, methods, other aspects. This work builds evaluation-index system based on human habitat multi-source data order examine spatial differences influencing factors Yellow River Basin (YRB). Using modified model, Moran index, Markov chain geographically weighted random forest model were introduced analyze temporal differentiation factors. results found that (a) YRB 2010 2022 been improving, number severely imbalanced reduced 23 15, but downstream cities’ significantly higher than upstream cities. probability maintaining their own greater 50%, basically no cross-level transfer. (b) index risen 0.137 0.229, which shows significant positive clustering phenomenon continually strengthening. intercity polarization effect being enhanced as seen LISA diagram. (c) There heterogeneity between time space. In terms importance level, series per capita disposable income (0.416) > nighttime lighting (0.370) local general public budget expenditure (0.332) beds 1000 people (0.191) NO2 content air (0.110). study systematically investigates dynamic evolution coupled mechanism, great practical use.

Language: Английский

Citations

10
Assessing agritourism-integrated rural human settlement environment under the “dual-carbon” goal: evidence from Zhejiang, China DOI Creative Commons
Shuaijun Lin, Hongfeng Zhang, Johnny F. I. Lam

et al.

Journal of Asian Architecture and Building Engineering, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: Jan. 3, 2025

Language: Английский

Citations

1
Revealing the roles of climate, urban form, and vegetation greening in shaping the land surface temperature of urban agglomerations in the Yangtze River Economic Belt of China DOI

X. Liu,

Liang Zheng, Ying Wang

et al.

Journal of Environmental Management, Journal Year: 2025, Volume and Issue: 377, P. 124602 - 124602

Published: Feb. 20, 2025

Language: Английский

Citations

1
Spatiotemporal Dynamics and Response of Land Surface Temperature and Kernel Normalized Difference Vegetation Index in Yangtze River Economic Belt, China: Multi-Method Analysis DOI Creative Commons

Hongjia Zhu,

Ao Wang, Pengtao Wang

et al.

Land, Journal Year: 2025, Volume and Issue: 14(3), P. 598 - 598

Published: March 12, 2025

As global climate change intensifies, its impact on the ecological environment is becoming increasingly pronounced. Among these, land surface temperature (LST) and vegetation cover status, as key indicators, have garnered widespread attention. This study analyzes spatiotemporal dynamics of LST Kernel Normalized Difference Vegetation Index (KNDVI) in 11 provinces along Yangtze River their response to based MODIS Terra satellite data from 2000 2020. The linear regression showed a significant KNDVI increase 0.003/year (p < 0.05) rise 0.065 °C/year 0.01). Principal Component Analysis (PCA) explained 74.5% variance, highlighting dominant influence urbanization. K-means clustering identified three regional patterns, with Shanghai forming distinct group due low variability. Generalized Additive Model (GAM) analysis revealed nonlinear LST–KNDVI relationship, most evident Hunan, where cooling effects weakened beyond threshold 0.25. Despite 0.07 increase, high-temperature areas Chongqing Jiangsu expanded by over 2500 km2, indicating limited mitigation. reveals complex interaction between KNDVI, which may provide scientific basis for development management adaptation strategies.

Language: Английский

Citations

1
Long-term tracking of urban structure and analysis of its impact on urban heat stress: a case study of Xi’an, China DOI

Kaipeng Huo,

Rui Qin, Jingyuan Zhao

et al.

Ecological Indicators, Journal Year: 2025, Volume and Issue: 174, P. 113418 - 113418

Published: April 9, 2025

Language: Английский

Citations

1
Trajectories of Terrestrial Vegetation Productivity and Its Driving Factors in China's Drylands DOI Creative Commons
Haixing Gong, Guoyin Wang, Xiaoyan Wang

et al.

Geophysical Research Letters, Journal Year: 2024, Volume and Issue: 51(20)

Published: Oct. 13, 2024

Abstract Climate change and large‐scale ecological restoration programs have profoundly influenced vegetation greening gross primary productivity (GPP) in China's drylands. However, the specific pathways through which climatic factors influence GPP remain poorly understood. This study examines spatiotemporal changes across drylands from 2001 to 2020 investigates direct indirect effects of leaf area index (LAI) on GPP. The results reveal that overall improvement cover has positively increased these regions. Although are minimal, they exert a substantial effect by regulating growth, highlighting LAI is key intermediary mediating Furthermore, complex interactions vary significantly along aridity gradient. emphasizes necessity comprehensively considering intricate among multiple climate factors.

Language: Английский

Citations

7
Spatial patterns and its influencing factors on villages around the Ji-shape bend of the Yellow River DOI Creative Commons

Zhiqiang Wang,

Shuang Jiang, Shuang Xu

et al.

Frontiers in Environmental Science, Journal Year: 2024, Volume and Issue: 12

Published: Oct. 2, 2024

Population migration brings about many problems in villages. The Ji (几)-shape bend of the Yellow River is an important ecological sensitivity study area, and some progress exists villages, still has problems. This article addresses inadequacy existing research mainly solves three areas. It primarily used method Arc GIS10.8, big data methods such as imbalance index, Gini coefficient, geographic concentration Geodetector, other were used, laying groundwork for additional analysis various factors. Hence, subsequent findings attained. 1) distribution pattern village system around Ji-shape seems to be a positive spatial correlation, with characteristics random distribution, uneven low concentration, Hohhot-Baotou serving center. 2) Natural factors are most 3) Among natural factors, elevation (0.244619), value slope (0.319805), aspect (0.074089) appear strongest explanatory power. social rate urbanization (0.019082), highway density percentage tertiary industry (0.018422) show power on socioeconomic villages siting paper put forward suggestions protection development ecologically sensitive

Language: Английский

Citations

5
Improving Landslide Susceptibility Prediction in Uttarakhand through Hyper-Tuned Artificial Intelligence and Global Sensitivity Analysis DOI
Mohd Rihan, Swapan Talukdar, Mohd Waseem Naikoo

et al.

Earth Systems and Environment, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 23, 2024

Language: Английский

Citations

4