High spatial variability in water use efficiency of terrestrial ecosystems throughout China is predominated by biological factors
文献类型：期刊论文
| 作者 | Dou, Xiaojun1; Yu, Guirui1; Chen, Zhi1,2; Yang, Meng1; Hao, Tianxiang1; Han, Lang3,4; Liu, Zhaogang1; Ma, Lexin1; Lin, Yong1; Zhu, Xianjin5 |
| 刊名 | AGRICULTURAL AND FOREST METEOROLOGY
 |
| 出版日期 | 2024-02-15 |
| 卷号 | 345页码:109834 |
| 关键词 | Water use efficiency Spatial variability Influencing factors Driving mechanism Eddy covariance Terrestrial ecosystems |
| DOI | 10.1016/j.agrformet.2023.109834 |
| 产权排序 | 1 |
| 英文摘要 | Water use efficiency (WUE) in terrestrial ecosystems is a crucial indicator of regional resource use efficiency and the water-carbon balance relationship. However, spatial variability casts uncertainties in evaluating the water-carbon coupling, leaving the spatial patterns and underlying driving mechanisms of WUE obscure. To address this issue, our study conducted a comprehensive analysis of China's WUE from 2003 to 2020, utilizing 83 observed ecosystem fluxes and micrometeorological data from ChinaFLUX. We discovered the multi-year measured average WUE value was 2.13 +/- 0.88 g C/kg H2O, with forest and cropland ecosystems demonstrating superior WUE (2.59 and 2.58 g C/kg H2O, respectively) compared to other ecosystem types. China's WUE exhibited marked spatial heterogeneity, characterized by geographic and climatic gradients, mainly decreasing from southeast towards northwest. Intriguingly, South China potentially exhibits maximal WUE theoretically. Yet, we observed an oversaturation effect in its WUE concerning gross primary productivity (GPP), peaking when GPP surpassed approximately 2200 g C m(-2) yr(-1). A clear dividing line between high- and low- WUE regions in China was observed at 400-500 mm isohyets. Our structural equation model, based on the geography-climate-biology-flux coupling-WUE cascade relationship, explained 93 % of WUE spatial variability. Here, GPP emerges as the primary direct factor of WUE variation, with climate conditions primarily affecting WUE through GPP. Our study provides valuable insights into the regional pattern of resource use efficiency and enriches the understanding of the integrated water-carbon cycle and carbon sinks. |
| WOS关键词 | ENVIRONMENTAL CONTROLS ; GRASSLAND ECOSYSTEMS ; CARBON-DIOXIDE ; CLIMATE-CHANGE ; FLUXES ; FOREST ; EXCHANGE ; EVAPOTRANSPIRATION ; RESPIRATION ; DYNAMICS |
| WOS研究方向 | Agriculture ; Forestry ; Meteorology & Atmospheric Sciences |
| WOS记录号 | WOS:001135824500001 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/201694]  |
| 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, Key Lab Ecosyst Network Observat & Modeling, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resources & Environm, Beijing 100049, Peoples R China 3.Univ Chinese Acad Sci, Beijing Yanshan Earth Crit Zone Natl Res Stn, Beijing 101408, Peoples R China 4.Tianjin Univ, Inst Surface Earth Syst Sci, Sch Earth Syst Sci, Tianjin 300072, Peoples R China 5.Tianjin Univ, Tianjin Bohai Rim Coastal Earth Crit Zone Natl Obs, Tianjin 300072, Peoples R China 6.Shenyang Agr Univ, Coll Agron, Shenyang 100161, Peoples R China 7.Guangdong Univ Technol, Sch Ecol Environm & Resources, Guangdong Prov Key Lab Water Qual Improvement & Ec, Guangzhou 510006, Peoples R China |
| 推荐引用方式 GB/T 7714 | Dou, Xiaojun,Yu, Guirui,Chen, Zhi,et al. High spatial variability in water use efficiency of terrestrial ecosystems throughout China is predominated by biological factors[J]. AGRICULTURAL AND FOREST METEOROLOGY,2024,345:109834. |
| APA | Dou, Xiaojun.,Yu, Guirui.,Chen, Zhi.,Yang, Meng.,Hao, Tianxiang.,...&Zhou, Wenneng.(2024).High spatial variability in water use efficiency of terrestrial ecosystems throughout China is predominated by biological factors.AGRICULTURAL AND FOREST METEOROLOGY,345,109834. |
| MLA | Dou, Xiaojun,et al."High spatial variability in water use efficiency of terrestrial ecosystems throughout China is predominated by biological factors".AGRICULTURAL AND FOREST METEOROLOGY 345(2024):109834. |
入库方式： OAI收割
来源：地理科学与资源研究所
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