Seasonal variations and drivers of energy fluxes and partitioning along an aridity gradient in temperate grasslands of Northern China

•Energy partitioning regime transferred from H- to LE-dominated along the aridity gradient.•The role of vegetation in energy partitioning was strengthened from desert to meadow steppes.•Response of β to climate and vegetation factors was more sensitive with increasing aridity. Surface energy exchang...

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Veröffentlicht in:Agricultural and forest meteorology 2023-11, Vol.342, p.109736, Article 109736
Hauptverfasser: Wang, Yanbing, You, Cuihai, Gao, Yanhong, Li, Yuqiang, Niu, Yayi, Shao, Changliang, Wang, Xu, Xin, Xiaoping, Yu, Guirui, Han, Xingguo, Chen, Shiping
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container_start_page 109736
container_title Agricultural and forest meteorology
container_volume 342
creator Wang, Yanbing
You, Cuihai
Gao, Yanhong
Li, Yuqiang
Niu, Yayi
Shao, Changliang
Wang, Xu
Xin, Xiaoping
Yu, Guirui
Han, Xingguo
Chen, Shiping
description •Energy partitioning regime transferred from H- to LE-dominated along the aridity gradient.•The role of vegetation in energy partitioning was strengthened from desert to meadow steppes.•Response of β to climate and vegetation factors was more sensitive with increasing aridity. Surface energy exchange is vital because it affects microclimate, water cycle and biogeochemical processes in the canopy-atmosphere interface. In this study, seasonal variations and regulators of energy fluxes and partitioning were investigated based on a long-term eddy flux observation dataset (12 towers, 82 site-years in total) along an aridity gradient in temperate grasslands of Northern China. Our results showed that the net radiation (Rn) and all energy components, including latent heat (LE), sensible heat (H) and ground heat (G0) fluxes, presented unimodal seasonal patterns across different grassland types, with Rn and LE peaked in the middle growing season but H and G0 at the beginning of the growing season. The energy partitioning shifted from the H-dominated to the LE-dominated period accompanied vegetation phenological development, thus a U-shaped seasonal pattern of Bowen ratio (β, H/LE) was observed. Prolonged LE-dominated period and great peak of LE flux enhanced LE/Rn proportion and decreased β from desert steppes to typical steppes and meadow steppes. Climate and vegetation factors co-regulated the seasonal patterns of energy fluxes and partitioning, with enhanced effects of LAI and canopy surface conductance (gc) from desert steppes to typical and meadow steppes, but a reverse pattern of land-atmosphere coupling via vegetation physiological regulation. Meanwhile, enhanced sensitivity of β in response to variations of climate and vegetation factors was also observed with increasing aridity. Our founding highlighted the role of vegetation especially physiological regulation in determining the seasonal patterns of energy fluxes and partitioning in water-limited grasslands. Whereas, the great sensitivity of energy partitioning to vegetation changing with increasing aridity also emphasized that it is vital to pay attention to the response of energy exchange in the desert steppes to the greening trend in Northern China under future climate scenarios.
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Surface energy exchange is vital because it affects microclimate, water cycle and biogeochemical processes in the canopy-atmosphere interface. In this study, seasonal variations and regulators of energy fluxes and partitioning were investigated based on a long-term eddy flux observation dataset (12 towers, 82 site-years in total) along an aridity gradient in temperate grasslands of Northern China. Our results showed that the net radiation (Rn) and all energy components, including latent heat (LE), sensible heat (H) and ground heat (G0) fluxes, presented unimodal seasonal patterns across different grassland types, with Rn and LE peaked in the middle growing season but H and G0 at the beginning of the growing season. The energy partitioning shifted from the H-dominated to the LE-dominated period accompanied vegetation phenological development, thus a U-shaped seasonal pattern of Bowen ratio (β, H/LE) was observed. Prolonged LE-dominated period and great peak of LE flux enhanced LE/Rn proportion and decreased β from desert steppes to typical steppes and meadow steppes. Climate and vegetation factors co-regulated the seasonal patterns of energy fluxes and partitioning, with enhanced effects of LAI and canopy surface conductance (gc) from desert steppes to typical and meadow steppes, but a reverse pattern of land-atmosphere coupling via vegetation physiological regulation. Meanwhile, enhanced sensitivity of β in response to variations of climate and vegetation factors was also observed with increasing aridity. Our founding highlighted the role of vegetation especially physiological regulation in determining the seasonal patterns of energy fluxes and partitioning in water-limited grasslands. 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Prolonged LE-dominated period and great peak of LE flux enhanced LE/Rn proportion and decreased β from desert steppes to typical steppes and meadow steppes. Climate and vegetation factors co-regulated the seasonal patterns of energy fluxes and partitioning, with enhanced effects of LAI and canopy surface conductance (gc) from desert steppes to typical and meadow steppes, but a reverse pattern of land-atmosphere coupling via vegetation physiological regulation. Meanwhile, enhanced sensitivity of β in response to variations of climate and vegetation factors was also observed with increasing aridity. Our founding highlighted the role of vegetation especially physiological regulation in determining the seasonal patterns of energy fluxes and partitioning in water-limited grasslands. Whereas, the great sensitivity of energy partitioning to vegetation changing with increasing aridity also emphasized that it is vital to pay attention to the response of energy exchange in the desert steppes to the greening trend in Northern China under future climate scenarios.</description><subject>Arid and semiarid grassland</subject><subject>Aridity gradient</subject><subject>Bowen ratio</subject><subject>canopy</subject><subject>Canopy surface conductance</subject><subject>China</subject><subject>data collection</subject><subject>dry environmental conditions</subject><subject>eddy covariance</subject><subject>Energy partitioning</subject><subject>energy transfer</subject><subject>forests</subject><subject>heat</subject><subject>hydrologic cycle</subject><subject>latent heat</subject><subject>meadows</subject><subject>meteorology</subject><subject>microclimate</subject><subject>net radiation</subject><subject>phenology</subject><subject>physiological regulation</subject><subject>seasonal variation</subject><subject>Vegetation regulation</subject><issn>0168-1923</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkMtOwzAQRbMAifL4Brxk0xLHeXlZVbykChbA2prEk9ZVapexW9EP4L9xCGLLZka6c--VfZLkmqcznvLydjODFXWOthhmWZqJqMpKlCfJJF7rKZeZOEvOvd-kKc-qSk6Sr1cE7yz07ABkIBhnPQOrmSZzQPLMdQwt0urIun7_ieNxBxTM4DV2xaB3w7QsFmgTjmxFoA3awIxlAbc7JAg4qN73Mf3T-eworJEsW6yNhcvktIPe49Xvvkje7-_eFo_T5cvD02K-nLYir8NUY5XVjSjzvEihyhtRN0WUeJuKvJG6EDlvZVTLCvJM55KD5JnmIHRdQIEgLpKbsXdH7mOPPqit8S328Vno9l4JXoiyyKQsorUarS057wk7tSOzBToqnqoBttqoP9hqgK1G2DE5H5MYf3IwSMq3EUeL2hC2QWln_u34BmMMkVY</recordid><startdate>20231115</startdate><enddate>20231115</enddate><creator>Wang, Yanbing</creator><creator>You, Cuihai</creator><creator>Gao, Yanhong</creator><creator>Li, Yuqiang</creator><creator>Niu, Yayi</creator><creator>Shao, Changliang</creator><creator>Wang, Xu</creator><creator>Xin, Xiaoping</creator><creator>Yu, Guirui</creator><creator>Han, Xingguo</creator><creator>Chen, Shiping</creator><general>Elsevier B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7S9</scope><scope>L.6</scope><orcidid>https://orcid.org/0000-0002-1978-7996</orcidid><orcidid>https://orcid.org/0000-0002-4968-8577</orcidid><orcidid>https://orcid.org/0000-0002-1934-2372</orcidid><orcidid>https://orcid.org/0000-0001-5936-7331</orcidid></search><sort><creationdate>20231115</creationdate><title>Seasonal variations and drivers of energy fluxes and partitioning along an aridity gradient in temperate grasslands of Northern China</title><author>Wang, Yanbing ; You, Cuihai ; Gao, Yanhong ; Li, Yuqiang ; Niu, Yayi ; Shao, Changliang ; Wang, Xu ; Xin, Xiaoping ; Yu, Guirui ; Han, Xingguo ; Chen, Shiping</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c348t-de728b364450a74b38b5e721c034b9d5341c9b3867a42d491a912d1a3d85a5ea3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Arid and semiarid grassland</topic><topic>Aridity gradient</topic><topic>Bowen ratio</topic><topic>canopy</topic><topic>Canopy surface conductance</topic><topic>China</topic><topic>data collection</topic><topic>dry environmental conditions</topic><topic>eddy covariance</topic><topic>Energy partitioning</topic><topic>energy transfer</topic><topic>forests</topic><topic>heat</topic><topic>hydrologic cycle</topic><topic>latent heat</topic><topic>meadows</topic><topic>meteorology</topic><topic>microclimate</topic><topic>net radiation</topic><topic>phenology</topic><topic>physiological regulation</topic><topic>seasonal variation</topic><topic>Vegetation regulation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Yanbing</creatorcontrib><creatorcontrib>You, Cuihai</creatorcontrib><creatorcontrib>Gao, Yanhong</creatorcontrib><creatorcontrib>Li, Yuqiang</creatorcontrib><creatorcontrib>Niu, Yayi</creatorcontrib><creatorcontrib>Shao, Changliang</creatorcontrib><creatorcontrib>Wang, Xu</creatorcontrib><creatorcontrib>Xin, Xiaoping</creatorcontrib><creatorcontrib>Yu, Guirui</creatorcontrib><creatorcontrib>Han, Xingguo</creatorcontrib><creatorcontrib>Chen, Shiping</creatorcontrib><collection>CrossRef</collection><collection>AGRICOLA</collection><collection>AGRICOLA - Academic</collection><jtitle>Agricultural and forest meteorology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Yanbing</au><au>You, Cuihai</au><au>Gao, Yanhong</au><au>Li, Yuqiang</au><au>Niu, Yayi</au><au>Shao, Changliang</au><au>Wang, Xu</au><au>Xin, Xiaoping</au><au>Yu, Guirui</au><au>Han, Xingguo</au><au>Chen, Shiping</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Seasonal variations and drivers of energy fluxes and partitioning along an aridity gradient in temperate grasslands of Northern China</atitle><jtitle>Agricultural and forest meteorology</jtitle><date>2023-11-15</date><risdate>2023</risdate><volume>342</volume><spage>109736</spage><pages>109736-</pages><artnum>109736</artnum><issn>0168-1923</issn><abstract>•Energy partitioning regime transferred from H- to LE-dominated along the aridity gradient.•The role of vegetation in energy partitioning was strengthened from desert to meadow steppes.•Response of β to climate and vegetation factors was more sensitive with increasing aridity. Surface energy exchange is vital because it affects microclimate, water cycle and biogeochemical processes in the canopy-atmosphere interface. In this study, seasonal variations and regulators of energy fluxes and partitioning were investigated based on a long-term eddy flux observation dataset (12 towers, 82 site-years in total) along an aridity gradient in temperate grasslands of Northern China. Our results showed that the net radiation (Rn) and all energy components, including latent heat (LE), sensible heat (H) and ground heat (G0) fluxes, presented unimodal seasonal patterns across different grassland types, with Rn and LE peaked in the middle growing season but H and G0 at the beginning of the growing season. The energy partitioning shifted from the H-dominated to the LE-dominated period accompanied vegetation phenological development, thus a U-shaped seasonal pattern of Bowen ratio (β, H/LE) was observed. Prolonged LE-dominated period and great peak of LE flux enhanced LE/Rn proportion and decreased β from desert steppes to typical steppes and meadow steppes. Climate and vegetation factors co-regulated the seasonal patterns of energy fluxes and partitioning, with enhanced effects of LAI and canopy surface conductance (gc) from desert steppes to typical and meadow steppes, but a reverse pattern of land-atmosphere coupling via vegetation physiological regulation. Meanwhile, enhanced sensitivity of β in response to variations of climate and vegetation factors was also observed with increasing aridity. Our founding highlighted the role of vegetation especially physiological regulation in determining the seasonal patterns of energy fluxes and partitioning in water-limited grasslands. Whereas, the great sensitivity of energy partitioning to vegetation changing with increasing aridity also emphasized that it is vital to pay attention to the response of energy exchange in the desert steppes to the greening trend in Northern China under future climate scenarios.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.agrformet.2023.109736</doi><orcidid>https://orcid.org/0000-0002-1978-7996</orcidid><orcidid>https://orcid.org/0000-0002-4968-8577</orcidid><orcidid>https://orcid.org/0000-0002-1934-2372</orcidid><orcidid>https://orcid.org/0000-0001-5936-7331</orcidid></addata></record>
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subjects Arid and semiarid grassland
Aridity gradient
Bowen ratio
canopy
Canopy surface conductance
China
data collection
dry environmental conditions
eddy covariance
Energy partitioning
energy transfer
forests
heat
hydrologic cycle
latent heat
meadows
meteorology
microclimate
net radiation
phenology
physiological regulation
seasonal variation
Vegetation regulation
title Seasonal variations and drivers of energy fluxes and partitioning along an aridity gradient in temperate grasslands of Northern China
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