Climate-shaped vegetation dominated the spatial pattern of the Bowen ratio over terrestrial ecosystems in China

文献类型： 外文期刊

第一作者： Sun, Mingyu

作者： Sun, Mingyu;Han, Lang;Yao, Yuan;Wang, Jilong;Yu, Guirui;Chen, Zhi;Hao, Tianxiang;Yang, Meng;Zhang, Weikang;Liu, Zhaogang;Ma, Lexin;Dou, Xiaojun;Luo, Wenxing;Lin, Yong;He, Yongtao;Shi, Peili;Wang, Huimin;Zhang, Yangjian;Zhao, Fenghua;Zhu, Zhilin;Yu, Guirui;Chen, Zhi;Liu, Zhaogang;Ma, Lexin;Dou, Xiaojun;Luo, Wenxing;Lin, Yong;He, Yongtao;Shi, Peili;Zhang, Yangjian;Chen, Zhi;Zhu, Xianjin;Han, Lang;Chen, Shiping;Deng, Zhengmiao;Duh, Hu;Wei, Wenxue;Dong, Gang;Gao, Yanhong;Ji, Xibin;Li, Yuqiang;Tan, Junlei;Gu, Fengxue;Hao, Xiangxiang;Hao, Yanbin;Hen, Qihua;He, Jinsheng;He, Jinsheng;He, Jinsheng;He, Jinsheng;Chen, Shiping;Jiang, Zhengde;Wu, Jiabing;Zhu, Jiaojun;Li, Xinhu;Li, Yingnian;Zhao, Liang;Li, Yuzhe;Zhang, Fawei;Liu, Shaomin;Luo, Weijun;Mo, Xingguo;Zhang, Yiping;Sha, Liqing;Song, Qinghai;Zhang, Yiping;Sun, Dan;Yan, Junhua;Tan, Junlei;Tang, Yakun;Wang, Fei;Wang, Jianlin;Wu, Zhixiang;Xin, Xiaoping;Xin, Xiaoping;Zhang, Yucui;Zhou, Li;Zhang, Weikang;Chen, Zhi

作者机构： Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China;Chinese Acad Sci, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China;Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China;Univ Chinese Acad Sci, Beijing Yanshan Earth Crit Zone Natl Res Stn, Beijing 101408, Peoples R China;Shenyang Agr Univ, Coll Agron, Shenyang 100161, Peoples R China;Tianjin Univ, Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin 300072, Peoples R China;Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing 100093, Peoples R China;Chinese Acad Sci, Inst Subtrop Agr, Key Lab Agroecol Proc Subtrop Reg, Changsha 410125, Peoples R China;Shanxi Univ, Taiyuan 030006, Shanxi, Peoples R China;Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Lanzhou 730000, Peoples R China;Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China;Chinese Acad Sci, Northeast Inst Geog & Agroecol, Ctr Agr Technol, Harbin 150081, Peoples R China;Univ Chinese Acad Sci, Beijing 100049, Peoples R China;Chinese Acad Sci, Chengdu Inst Biol, Chengdu 610041, Peoples R China;Peking Univ, Inst Ecol, Coll Urban & Environm Sci, Beijing 100871, Peoples R China;Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China;Lanzhou Univ, State Key Lab Herbage Improvement & Grassland Agro, Lanzhou, Peoples R China;Lanzhou Univ, Coll Pastoral Agr Sci & Technol, Lanzhou, Peoples R China;Northeast Normal Univ, Sch Life Sci, Changchun 130024, Peoples R China;Chinese Acad Sci, Inst Appl Ecol, Shenyang 110016, Peoples R China;Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi 830011, Peoples R China;Chinese Acad Sci, Northwest Inst Plateau Biol, Xining 810008, Peoples R China;Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China;Beijing Normal Univ, Fac Geog Sci, State Key Lab Earth Surface Proc & Resource Ecol, Beijing, Peoples R China;Chinese Acad Sci, Inst Geochem, State Key Lab Environm Geochem, Guiyang 550081, Peoples R China;Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Its Related Land Proc, Beijing 100101, Peoples R China;Chinese Acad Sci, Xishuangbanna Trop Bot Garden, Mengla 666303, Peoples R China;Chinese Acad Sci, South China Bot Garden, Guangzhou 510650, Peoples R China;Chinese Acad Sci, Northwest Inst Ecoenvironm & Resources, Key Lab Remote Sensing Gansu Prov, Heihe Remote Sensing Expt Res Stn, Lanzhou 730000, Peoples R China;Northwest A&F Univ, Xianyang 712100, Peoples R China;Inner Mongolia Agr Univ, Coll Forestry, Hohhot 010018, Peoples R China;Qingdao Agr Univ, Coll Agron, Qingdao 266109, Peoples R China;Chinese Acad Trop Agr Sci, Rubber Res Inst, Haikou 571101, Peoples R China;Chinese Acad Agr Sci, Natl Hulunber Grassland Ecosyst Observat & Res Stn, Beijing 100081, Peoples R China;Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China;Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Shijiazhuang 050022, Peoples R China;Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China;Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China;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

关键词： Bowen ratio; Heat flux; Sensible heat; Eddy covariance; Spatial patterns; Energy partitioning

期刊名称：AGRICULTURAL AND FOREST METEOROLOGY （ 2022影响因子：6.2； 五年影响因子：6.9 ）

ISSN： 0168-1923

年卷期： 2024 年 344 卷

页码：

收录情况： SCI

摘要： 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.

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