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

Higher Fractional Vegetation Cover is More Susceptible To Drought in Mu Us Desert, P.R. China DOI
Lin Miao, Chengfu Zhang, Bo Wu

et al.

Published: Jan. 1, 2025

Language: Английский

Citations

0

Mapping drought severity impact on arboriculture systems over Tadla and lower Tassaout plains in Morocco using Sentinel-2 data and machine learning approaches DOI Creative Commons
Sabir Oussaoui, Abdelghani Boudhar, Abdessamad Hadri

et al.

Geocarto International, Journal Year: 2025, Volume and Issue: 40(1)

Published: March 12, 2025

Language: Английский

Citations

0

Exploring the Cooling intensity of Green cover on Urban Heat Island: A Case Study of Nine Main Urban Districts in Chongqing DOI
Ao Wang, Yan Dai, Maomao Zhang

et al.

Sustainable Cities and Society, Journal Year: 2025, Volume and Issue: unknown, P. 106299 - 106299

Published: March 1, 2025

Language: Английский

Citations

0

Capturing constraints on boreal gross primary productivity using the remote sensing-based CAN-TG model. DOI Creative Commons
Ramon Melser, Nicholas C. Coops, Michael A. Wulder

et al.

Ecological Informatics, Journal Year: 2025, Volume and Issue: unknown, P. 103108 - 103108

Published: March 1, 2025

Language: Английский

Citations

0

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

Citations

0