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Warming experiments underpredict plant phenological responses to climate change

机译:变暖实验低估了植物对气候变化的物候响应

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摘要

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.
机译:越来越多地依靠变暖实验来估计植物对全球气候变化的反应。为了使实验对未来的响应提供有意义的预测,它们应反映对温度变化和最近变暖的响应的经验记录,包括开花和出叶时间的进展。我们使用温度敏感度(每摄氏度天数的变化)的通用量度,在跨越四大洲和1,634种植物的观测研究和变暖实验中比较了物候学(重复发生的生活史事件的时间)。我们显示,与长期观察相比,变暖实验低估了开花和生叶的时间分别增长了8.5倍和4.0倍。对于两种研究类型共有的物种,实验结果在符号或大小上均与观测数据不匹配。观测数据还表明,在春天最早开花的物种对温度的敏感性最高,但是这一趋势并未在实验数据中得到反映。这些明显的失配似乎与研究时间或实验中变暖的程度无关。然而,实验和观测之间的差异可能是由观测数据中多个驱动因素之间的复杂相互作用引起的,也可能是由于实验中可补救的人工制品引起的,从而导致较低的辐照度和更干燥的土壤,从而减弱了对受控变暖的物候响应。我们的结果将不确定性引入仅通过实验提供信息的生态系统模型中,并建议应重新评估使用此类模型预测的对气候变化的响应。

著录项

  • 来源
    《Nature》 |2012年第7399期|p.494-497|共4页
  • 作者单位

    Division of Biological Sciences, University of California San Diego, 9500 Gilman Drive 0116, La Jolla, California 92093, USA;

    NASA Goddard Institute for Space Studies, New York, New York 10025, USA,Ocean and Climate Physics, Lamont-Doherty Earth Observatory, Palisades, New York 10964-8000, USA;

    Department of Ecology & Evolutionary Biology, University of Connecticut, Storrs, Connecticut 06269-3043, USA;

    USA National Phenology Network, 1955 East Sixth Street, Tucson, Arizona 85721, USA;

    US Geological Survey, 1955 East Sixth Street, Tucson, Arizona 85719, USA;

    Department of Biological Sciences, North Dakota State University, Fargo, North Dakota 58108, USA;

    National Center for Ecological Analysis and Synthesis, 735 State Street, Suite 300, Santa Barbara, California 93101,USA;

    Department of Biology, McGill University, 1205 Avenue Docteur Penfield, Montreal, Quebec H3A 1B1, Canada;

    Department of Biology, McGill University, 1205 Avenue Docteur Penfield, Montreal, Quebec H3A 1B1, Canada;

    Biodiversity Research Centre, University of British Columbia, 6270 University Boulevard, Vancouver, British Columbia V6T1Z4, Canada,Department of Biology, University of Maryland, College Park, Maryland 20742, USA;

    National Centerfor Atmospheric Research, PO Box 3000,Boulder, Colorado 80307, USA;

    Swedish University of Agricultural Sciences, Swedish National Phenology Network, Asa, Unit for Field-based Forest Research, SE-36030 Lammhult, Sweden,Theoretical Population Ecology and Evolution, Lund University, SE-22362 Lund, Sweden;

    Department of Ecology, Evolution and Marine Biology, University of California Santa Barbara, Santa Barbara, California 93106, USA;

    US Geological Survey, Denver Federal Center, MS 412, Denver, Colorado 80225, USA;

    School of Biology and Ecology &Sustainability Solutions Initiative, University of Maine, Orono, Maine 04469, USA;

    lntegrative Biology, University of Texas, 1 University Station C0930, Austin, Texas 78712, USA,Marine Sciences Institute, A425 Portland Square, Drake Circus, University of Plymouth,Plymouth, Devon PL4 8AA, UK;

    Department of Ecology and Evolution, University of Lausanne, 1015 Lausanne, Switzerland,Swiss Institute of Bioinformatics, Quartier Sorge, 1015 Lausanne,Switzerland;

    Department of Geography, Bolton 410, PO Box 413, University of Wisconsin-Milwaukee, Milwaukee, Wisconsin 53201-0413, USA;

    Division of Biological Sciences, University of California San Diego, 9500 Gilman Drive 0116, La Jolla, California 92093, USA;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);美国《生物学医学文摘》(MEDLINE);美国《化学文摘》(CA);
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  • 正文语种 eng
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  • 入库时间 2022-08-18 02:54:07

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