Functional group and aridity regulate impacts of climate change on plant phenology: a meta-analysis

The interaction between temperature and precipitation greatly affects plant phenology. However, these effects can vary between additive, antagonistic, and synergistic, and it is not clear what determines these different outcomes. One hypothesis is that the effect on plant phenology varies with aridity and plant functional group. Here, we find support for this hypothesis using a global meta-analysis on the timing of leaf-out (2178 values from 55 experimental sites) and flowering (4027 values from 117 experimental sites). We find that, globally, the onset of leaf-out is more influenced by water availability than by temperature, while first flowering is more affected by temperature than by precipitation. On its own, warming advances leaf-out for all functional groups (except in semi-humid regions), whereas warming combined with decreased precipitation delays leaf-out in semi-arid regions. Warming also advances flowering across all functional groups, regardless of changes in precipitation and aridity. We observe synergistic effects of warming and precipitation on leaf-out for forbs in semi-arid regions, while antagonistic effects occur for grasses and sedges except in arid regions. Our findings suggest that considering drought tolerance or resistance of plants across ambient climates is critical for improving our understanding and predictions of how plant phenology responds to climate change.

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Publication Details

Journal
Nature Communications
Published
2026-01-08
DOI
https://doi.org/10.1038/s41467-025-68242-x
Citations
1
Primary Topic
Remote Sensing in Agriculture
Type
article
Field-Weighted Citation Impact
31.91

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article

Functional group and aridity regulate impacts of climate change on plant phenology: a meta-analysis

Caiyun LUO, Amy M. Iler, Tandong Yao, Shiping Wang et al.
1 citations
Nature Communications
Remote Sensing in Agriculture
31.91
article

Functional group and aridity regulate impacts of climate change on plant phenology: a meta-analysis

Caiyun LUO, Amy M. Iler, Tandong Yao, Shiping Wang, Shilong Piao, F. Yuan, Josep Penuelas, Fandong Meng, Yang Zhou, Jingya Lv, Wangwang Lv, Bowen Li, Jianping Sun
article en
1 citations

Abstract

The interaction between temperature and precipitation greatly affects plant phenology. However, these effects can vary between additive, antagonistic, and synergistic, and it is not clear what determines these different outcomes. One hypothesis is that the effect on plant phenology varies with aridity and plant functional group. Here, we find support for this hypothesis using a global meta-analysis on the timing of leaf-out (2178 values from 55 experimental sites) and flowering (4027 values from 117 experimental sites). We find that, globally, the onset of leaf-out is more influenced by water availability than by temperature, while first flowering is more affected by temperature than by precipitation. On its own, warming advances leaf-out for all functional groups (except in semi-humid regions), whereas warming combined with decreased precipitation delays leaf-out in semi-arid regions. Warming also advances flowering across all functional groups, regardless of changes in precipitation and aridity. We observe synergistic effects of warming and precipitation on leaf-out for forbs in semi-arid regions, while antagonistic effects occur for grasses and sedges except in arid regions. Our findings suggest that considering drought tolerance or resistance of plants across ambient climates is critical for improving our understanding and predictions of how plant phenology responds to climate change.

Nature CommunicationsVol. 17(1)
Northwestern University (US), Consejo Superior de Investigaciones Científicas (ES), Chinese Academy of Sciences (CN), Peking University (CN), Center for Plant Conservation (US), Xinjiang Institute of Ecology and Geography (CN), Centre for Research on Ecology and Forestry Applications (ES), Institute of Tibetan Plateau Research (CN), University of Chinese Academy of Sciences (CN)
National Natural Science Foundation of China, China Postdoctoral Science Foundation, Natural Science Foundation for Young Scientists of Shanxi Province, Young Scientists Fund
Climate action
Openalex Percentile: Top 2%
Remote Sensing in Agriculture
31.91
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