Climate-shaped vegetation dominated the spatial pattern of the Bowen ratio over terrestrial ecosystems in China
文献类型:期刊论文
作者 | Sun, Mingyu; Yu, Guirui38,39; Chen, Zhi2,37,38,39; Hao, Tianxiang39; Yang, Meng39; Zhu, Xianjin36; Zhang, Weikang3,39; Han, Lang35; Liu, Zhaogang38,39; Ma, Lexin38,39 |
刊名 | AGRICULTURAL AND FOREST METEOROLOGY
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出版日期 | 2024-01-15 |
卷号 | 344页码:109816 |
关键词 | Bowen ratio Heat flux Sensible heat Eddy covariance Spatial patterns Energy partitioning |
DOI | 10.1016/j.agrformet.2023.109816 |
产权排序 | 2 |
文献子类 | Article |
英文摘要 | 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. |
WOS关键词 | ENERGY-BALANCE CLOSURE ; ALPINE GRASSLAND ; EVAPOTRANSPIRATION ; FEEDBACKS ; EXCHANGE ; FLUXES ; PLATEAU ; FORESTS ; CARBON |
WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
语种 | 英语 |
WOS记录号 | WOS:001178197300001 |
出版者 | ELSEVIER |
源URL | [http://ir.igsnrr.ac.cn/handle/311030/203369] ![]() |
专题 | 生态系统网络观测与模拟院重点实验室_外文论文 |
作者单位 | 1.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 2.Minist Emergency Management China, Natl Inst Nat Hazards, Beijing 100085, Peoples R China 3.Chinese Acad Meteorol Sci, State Key Lab Severe Weather, Beijing 100081, Peoples R China 4.Chinese Acad Sci, Ctr Agr Resources Res, Inst Genet & Dev Biol, Shijiazhuang 050022, Peoples R China 5.Chinese Acad Agr Sci, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 6.Chinese Acad Agr Sci, Natl Hulunber Grassland Ecosyst Observat & Res Stn, Beijing 100081, Peoples R China 7.Chinese Acad Trop Agr Sci, Rubber Res Inst, Haikou 571101, Peoples R China 8.Qingdao Agr Univ, Coll Agron, Qingdao 266109, Peoples R China 9.Inner Mongolia Agr Univ, Coll Forestry, Hohhot 010018, Peoples R China 10.Northwest A&F Univ, Xianyang 712100, Peoples R China |
推荐引用方式 GB/T 7714 | 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,2024,344:109816. |
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,344,109816. |
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(2024):109816. |
入库方式: OAI收割
来源:地理科学与资源研究所
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