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Climate-shaped vegetation dominated the spatial pattern of the Bowen ratio over terrestrial ecosystems in China
Sun, Mingyu; Yu, Guirui1,2; Chen, Zhi1,2,3,38; Hao, Tianxiang1; Yang, Meng1; Zhu, Xianjin4; Zhang, Weikang1,37; Han, Lang5; Liu, Zhaogang1,2; Ma, Lexin1,2; Dou, Xiaojun1,2; Yao, Yuan; Wang, Jilong; Luo, Wenxing1,2; Lin, Yong1,2; Chen, Shiping6,18; Deng, Zhengmiao7; Dong, Gang8; Duh, Hu7; Gao, Yanhong9; Gu, Fengxue10; Hao, Xiangxiang11; Hao, Yanbin12; Hen, Qihua13; He, Yongtao1,2; He, Jinsheng14,15,16,17; Ji, Xibin9; Jiang, Shicheng; Jiang, Zhengde19; Li, Xinhu20; Li, Yingnian21; Li, Yuqiang9; Li, Yuzhe22; Liu, Ran; Liu, Shaomin23; Luo, Weijun24; Mo, Xingguo25; Sha, Liqing26; Shi, Peili1,2; Song, Qinghai26; Sun, Dan27; Tan, Junlei9,28; Tang, Yakun29; Wang, Fei30; Wang, Huimin1; Wang, Jianlin31; Wei, Wenxue7; Wu, Jiabing19; Wu, Zhixiang32; Xin, Xiaoping33,34; Yan, Junhua27; Zhang, Fawei22; Zhang, Yangjian1,2; Zhang, Yiping25,26; Zhang, Yucui35; Zhao, Fenghua1; Zhao, Liang21; Zhou, Li36; Zhu, Jiaojun19; Zhu, Zhilin1
2024
Source PublicationAGRICULTURAL AND FOREST METEOROLOGY
ISSN0168-1923
Volume344Issue:xPages:-
Abstract

The Bowen ratio (beta), which is the ratio of sensible heat (H) to latent heat (LE), reflects the energy balance and partitioning processes among soil, vegetation, and the atmosphere. Although the spatial patterns of beta have been clearly delineated, the importance of vegetation in the spatial variation of beta is frequently underestimated. Revealing the spatial patterns of beta would improve the understanding of the variation in energy partitioning in terrestrial ecosystems and its reciprocal relationship with environmental change. Here, we calculated beta by integrating H and LE flux values from 80 flux observation sites based on the eddy -covariance method in ChinaFLUX to analyze the spatial pattern and mechanism of beta in China. Terrestrial ecosystems in China had an average beta of 0.64 +/- 0.47. beta varied significantly among ecosystem types. Deserts had the highest beta (2.08 +/- 0.17), while wetlands had the lowest beta (0.37 +/- 0.11). The beta values of terrestrial ecosystems exhibited a significant latitudinal pattern, increasing linearly with latitude. This pattern also existed in forest and cropland ecosystems. The spatial pattern of beta was dominated by climate -shaped vegetation factors, including leaf area index (LAI) and fractional vegetation cover (FVC). Nevertheless, as water and thermal conditions decline, the contribution of vegetation factors gradually wanes. These findings demonstrated the spatial variations and driving mechanisms of terrestrial ecosystem beta and provided insights into the mitigation of future climate change by vegetation.

KeywordBowen ratio Heat flux Sensible heat Eddy covariance Spatial patterns Energy partitioning
Subject AreaAgriculture ; Forestry ; Meteorology & Atmospheric Sciences
DOI10.1016/j.agrformet.2023.109816
Indexed BySCI
Language英语
WOS IDWOS:001178197300001
Citation statistics
Document Type期刊论文
Identifierhttps://ir.xtbg.ac.cn/handle/353005/14115
Collection全球变化研究组
Affiliation1.Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China
2.Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
3.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China
4.Univ Chinese Acad Sci, Beijing Yanshan Earth Crit Zone Natl Res Stn, Beijing 101408, Peoples R China
5.Shenyang Agr Univ, Coll Agron, Shenyang 100161, Peoples R China
6.Tianjin Univ, Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin 300072, Peoples R China
7.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China
8.Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China
9.Shanxi Univ, Taiyuan 030006, Shanxi, Peoples R China
10.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China
11.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China
12.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Ctr Agr Technol, Harbin 150081, Peoples R China
13.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
14.Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China
15.Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing 100871, Peoples R China
16.Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China
17.Lanzhou Univ, State Key Lab Herbage Improvement & Grassland Agro, Lanzhou, Peoples R China
18.Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou, Peoples R China
19.Northeast Normal Univ, Sch Life Sci, Changchun 130024, Peoples R China
20.Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China
21.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China
22.Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China
23.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
24.Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China
25.Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang 550081, Peoples R China
26.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Its Related Land Proc, Beijing 100101, Peoples R China
27.Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Mengla 666303, Peoples R China
28.Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China
29.Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China
30.Northwest A&F Univ, Xianyang 712100, Peoples R China
31.Inner Mongolia Agr Univ, Coll Forestry, Hohhot 010018, Peoples R China
32.Qingdao Agr Univ, Coll Agron, Qingdao 266109, Peoples R China
33.Chinese Acad Trop Agr Sci, Rubber Res Inst, Haikou 571101, Peoples R China
34.Chinese Acad Agr Sci, Natl Hulunber Grassland Ecosyst Observat & Res Stn, Beijing 100081, Peoples R China
35.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China
36.Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Shijiazhuang 050022, Peoples R China
37.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China
38.Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China
39.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Synth Res Ctr Chinese Ecosyst Res Network, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
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Sun, Mingyu,Yu, Guirui,Chen, Zhi,et al. Climate-shaped vegetation dominated the spatial pattern of the Bowen ratio over terrestrial ecosystems in China[J]. AGRICULTURAL AND FOREST METEOROLOGY,2024,344(x):-.
APA Sun, Mingyu.,Yu, Guirui.,Chen, Zhi.,Hao, Tianxiang.,Yang, Meng.,...&Zhu, Zhilin.(2024).Climate-shaped vegetation dominated the spatial pattern of the Bowen ratio over terrestrial ecosystems in China.AGRICULTURAL AND FOREST METEOROLOGY,344(x),-.
MLA Sun, Mingyu,et al."Climate-shaped vegetation dominated the spatial pattern of the Bowen ratio over terrestrial ecosystems in China".AGRICULTURAL AND FOREST METEOROLOGY 344.x(2024):-.
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