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      Leaf onset in the northern hemisphere triggered by daytime temperature

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          Abstract

          Recent warming significantly advanced leaf onset in the northern hemisphere. This signal cannot be accurately reproduced by current models parameterized by daily mean temperature ( T mean). Here using in situ observations of leaf unfolding dates (LUDs) in Europe and the United States, we show that the interannual anomalies of LUD during 1982–2011 are triggered by daytime ( T max) more than by nighttime temperature ( T min). Furthermore, an increase of 1 °C in T max would advance LUD by 4.7 days in Europe and 4.3 days in the United States, more than the conventional temperature sensitivity estimated from T mean. The triggering role of T max, rather than the T min or T mean variable, is also supported by analysis of the large-scale patterns of satellite-derived vegetation green-up in spring in the northern hemisphere (>30°N). Our results suggest a new conceptual framework of leaf onset using daytime temperature to improve the performance of phenology modules in current Earth system models.

          Abstract

          Recent warming has significantly advanced leaf onset in the northern hemisphere. Here, the authors show asymmetric effects of daytime and nighttime temperature change on the timing of leaf onset.

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          Plant science. Phenology under global warming.

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            Warming experiments underpredict plant phenological responses to climate change.

            Warming experiments are increasingly relied on to estimate plant responses to global climate change. For experiments to provide meaningful predictions of future responses, they should reflect the empirical record of responses to temperature variability and recent warming, including advances in the timing of flowering and leafing. We compared phenology (the timing of recurring life history events) in observational studies and warming experiments spanning four continents and 1,634 plant species using a common measure of temperature sensitivity (change in days per degree Celsius). We show that warming experiments underpredict advances in the timing of flowering and leafing by 8.5-fold and 4.0-fold, respectively, compared with long-term observations. For species that were common to both study types, the experimental results did not match the observational data in sign or magnitude. The observational data also showed that species that flower earliest in the spring have the highest temperature sensitivities, but this trend was not reflected in the experimental data. These significant mismatches seem to be unrelated to the study length or to the degree of manipulated warming in experiments. The discrepancy between experiments and observations, however, could arise from complex interactions among multiple drivers in the observational data, or it could arise from remediable artefacts in the experiments that result in lower irradiance and drier soils, thus dampening the phenological responses to manipulated warming. Our results introduce uncertainty into ecosystem models that are informed solely by experiments and suggest that responses to climate change that are predicted using such models should be re-evaluated.
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              Shifts in flowering phenology reshape a subalpine plant community.

              Phenology--the timing of biological events--is highly sensitive to climate change. However, our general understanding of how phenology responds to climate change is based almost solely on incomplete assessments of phenology (such as first date of flowering) rather than on entire phenological distributions. Using a uniquely comprehensive 39-y flowering phenology dataset from the Colorado Rocky Mountains that contains more than 2 million flower counts, we reveal a diversity of species-level phenological shifts that bring into question the accuracy of previous estimates of long-term phenological change. For 60 species, we show that first, peak, and last flowering rarely shift uniformly and instead usually shift independently of one another, resulting in a diversity of phenological changes through time. Shifts in the timing of first flowering on average overestimate the magnitude of shifts in the timing of peak flowering, fail to predict shifts in the timing of last flowering, and underrepresent the number of species changing phenology in this plant community. Ultimately, this diversity of species-level phenological shifts contributes to altered coflowering patterns within the community, a redistribution of floral abundance across the season, and an expansion of the flowering season by more than I mo during the course of our study period. These results demonstrate the substantial reshaping of ecological communities that can be attributed to shifts in phenology.
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                Author and article information

                Journal
                Nat Commun
                Nat Commun
                Nature Communications
                Nature Pub. Group
                2041-1723
                23 April 2015
                : 6
                : 6911
                Affiliations
                [1 ]Key Laboratory of Alpine Ecology and Biodiversity, Institute of Tibetan Plateau Research, Center for Excellence in Tibetan Earth Science, Chinese Academy of Sciences , Beijing 100085, China
                [2 ]CAS Center for Excellence in Tibetan Plateau Earth Sciences, Chinese Academy of Sciences , Beijing 100085, China
                [3 ]Sino-French Institute for Earth System Science, College of Urban and Environmental Sciences, Peking University , Beijing 100871, China
                [4 ]Department of Ecology and Evolutionary Biology, Princeton University , Princeton, New Jersey 08544-1003, USA
                [5 ]Department of Biology, University of Antwerp , Universiteitsplein 1, Wilrijk 2610, Belgium
                [6 ]LSCE, UMR CEA-CNRS, Bat. 709, CE, L'Orme des Merisiers , Gif-sur-Yvette F-91191, France
                [7 ]Jet Propulsion Laboratory, California Institute of Technology , Pasadena, California 91011, USA
                [8 ]Department of Earth and Environment, Boston University , 675 Commonwealth Avenue, Boston, Massachusetts 02215, USA
                [9 ]CREAF, Cerdanyola del Valles , Barcelona 08193, Spain
                [10 ]CSIC, Global Ecology Unit CREAF-CSIC-UAB, Cerdanyola del Valles , Barcelona 08193, Spain
                Author notes
                Author information
                http://orcid.org/0000-0001-9812-5837
                http://orcid.org/0000-0002-7215-0150
                Article
                ncomms7911
                10.1038/ncomms7911
                4423217
                25903224
                0216bca0-625b-461f-8687-0013024ca7e1
                Copyright © 2015, Nature Publishing Group, a division of Macmillan Publishers Limited. All Rights Reserved.

                This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

                History
                : 08 September 2014
                : 12 March 2015
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