Journal
NATURE ECOLOGY & EVOLUTION
Volume 2, Issue 9, Pages 1428-1435Publisher
NATURE PORTFOLIO
DOI: 10.1038/s41559-018-0630-3
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Funding
- CNES through the Science Terre Environment et Climat programme
- European Space Agency
- Support to Science Element programme
- SMOS Expert Support Laboratory
- Danish Council for Independent Research [DFF-6111-00258]
- European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement [746347]
- European Research Council Synergy grant [ERC-2013-SyG-610028]
- Swedish National Space Board [95/16]
- ANR ICONV CLAND grant
- French Agence Nationale de la Recherche [ANR-10-LABX-25-01, ANR-10-LABX-0041]
- CNES
- Marie Curie Actions (MSCA) [746347] Funding Source: Marie Curie Actions (MSCA)
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Plant water storage is fundamental to the functioning of terrestrial ecosystems by participating in plant metabolism, nutrient and sugar transport, and maintenance of the integrity of the hydraulic system of the plant. However, a global view of the size and dynamics of the water pools stored in plant tissues is still lacking. Here, we report global patterns of seasonal variations in ecosystem-scale plant water storage and their relationship with leaf phenology, based on space-borne measurements of L-band vegetation optical depth. We find that seasonal variations in plant water storage are highly synchronous with leaf phenology for the boreal and temperate forests, but asynchronous for the tropical woodlands, where the seasonal development of plant water storage lags behind leaf area by up to 180 days. Contrasting patterns of the time lag between plant water storage and terrestrial groundwater storage are also evident in these ecosystems. A comparison of the water cycle components in seasonally dry tropical woodlands highlights the buffering effect of plant water storage on the seasonal dynamics of water supply and demand. Our results offer insights into ecosystem-scale plant water relations globally and provide a basis for an improved parameterization of eco-hydrological and Earth system models.
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