期刊
AGRICULTURAL AND FOREST METEOROLOGY
卷 319, 期 -, 页码 -出版社
ELSEVIER
DOI: 10.1016/j.agrformet.2022.108919
关键词
Leaf water use efficiency; Abiotic drivers; Biotic drivers; Evapotranspiration; Ecosystem water use efficiency; Gross primary productivity
资金
- National Scientific and Technological Program on Basic Resources Investigation [2019FY102002]
- Biodiversity Survey and Assessment Project of the Ministry of Ecology and Environment, China [2019HJ2096001006]
- Innovation Base Project of Gansu Province [20190323]
- Top Leading Talents in Gansu Province [31770430, 31700463, 31322010]
- National Natural Science Foun-dation of China [lzujbky-2020-kb45, lzujbky-2021-sp19]
- National Youth Top-notch Talent Support Programs
- Fundamental Research Funds for Central Universities
This study compares global-scale patterns and drivers of leaf and ecosystem water use efficiency (WUE), revealing almost opposite trends in response to abiotic factors. Leaf intrinsic WUE is highest in arid regions and lowest in humid regions, while ecosystem WUE is lowest in arid regions and highest in humid regions. Phylogeny significantly affects leaf intrinsic WUE, while leaf area index is the most robust predictor of ecosystem WUE.
Water use efficiency (WUE) links carbon and water cycling and has been recognized as important in understanding the carbon-water budget of terrestrial ecosystems. However, there are few studies comparing WUE at leaf and ecosystem levels in response to environmental variables on a global scale. Here, we compare global-scale patterns and the drivers of leaf and ecosystem WUEs and quantify the relative influence of biotic and abiotic factors. Using published world-wide delta C-13 (carbon stable isotope composition) measurements for 6751 C-3 plant populations from 174 publications, as well as our own measurements of delta C-13 for 418 C-3 plant populations across drylands in China, and satellite-based datasets of gross primary production and evapotranspiration, we determined global patterns and the drivers of leaf and ecosystem WUEs. Leaf intrinsic WUE (iWUE) and ecosystem WUE displayed almost opposite trends, in response to abiotic factors on a global scale. iWUE was highest in arid regions and lowest in humid regions, whereas ecosystem WUE was lowest in arid regions and highest in humid regions. Phylogeny had a significant effect on iWUE. Mean annual temperature (MAT) was the strongest factor in predicting iWUE, whereas the most robust factor in predicting ecosystem WUE was leaf area index (LAI). The data indicate that the two different responses at the leaf and ecosystem levels must be considered when modeling carbon and water balances in response to climate change.
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