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全球植被生产力对卫星时代气候波动的响应。

Global vegetation productivity response to climatic oscillations during the satellite era.

机构信息

Department of Geography and Planning, University of Toronto, Toronto, ON, Canada, M5S 3G3.

National Center for Atmospheric Research, P.O. Box 3000, Boulder, CO, 80307, USA.

出版信息

Glob Chang Biol. 2016 Oct;22(10):3414-26. doi: 10.1111/gcb.13258. Epub 2016 Apr 4.

Abstract

Climate control on global vegetation productivity patterns has intensified in response to recent global warming. Yet, the contributions of the leading internal climatic variations to global vegetation productivity are poorly understood. Here, we use 30 years of global satellite observations to study climatic variations controls on continental and global vegetation productivity patterns. El Niño-Southern Oscillation (ENSO) phases (La Niña, neutral, and El Niño years) appear to be a weaker control on global-scale vegetation productivity than previously thought, although continental-scale responses are substantial. There is also clear evidence that other non-ENSO climatic variations have a strong control on spatial patterns of vegetation productivity mainly through their influence on temperature. Among the eight leading internal climatic variations, the East Atlantic/West Russia Pattern extensively controls the ensuing year vegetation productivity of the most productive tropical and temperate forest ecosystems of the Earth's vegetated surface through directionally consistent influence on vegetation greenness. The Community Climate System Model (CCSM4) simulations do not capture the observed patterns of vegetation productivity responses to internal climatic variations. Our analyses show the ubiquitous control of climatic variations on vegetation productivity and can further guide CCSM and other Earth system models developments to represent vegetation response patterns to unforced variability. Several winter time internal climatic variation indices show strong potentials on predicting growing season vegetation productivity two to six seasons ahead which enables national governments and farmers forecast crop yield to ensure supplies of affordable food, famine early warning, and plan management options to minimize yield losses ahead of time.

摘要

气候控制对全球植被生产力模式的影响随着近期全球变暖而加剧。然而,主导的内部气候变化对全球植被生产力的贡献仍不清楚。在这里,我们使用 30 年的全球卫星观测来研究气候变化对大陆和全球植被生产力模式的控制。厄尔尼诺-南方涛动(ENSO)阶段(拉尼娜、中性和厄尔尼诺年)似乎对全球植被生产力的控制作用比以前认为的要弱,尽管在大陆尺度上的响应是显著的。也有明确的证据表明,其他非 ENSO 气候变化对植被生产力的空间模式具有很强的控制作用,主要是通过它们对温度的影响。在八种主要的内部气候变化中,东大西洋/西俄罗斯模式通过对植被绿色度的定向一致影响,广泛控制着地球上植被覆盖表面最具生产力的热带和温带森林生态系统下一年的植被生产力。社区气候系统模型(CCSM4)模拟无法捕捉到观测到的植被生产力对内部气候变化的响应模式。我们的分析表明,气候变化对植被生产力具有普遍的控制作用,并可以进一步指导 CCSM 和其他地球系统模型的发展,以代表植被对非强迫变异性的响应模式。几个冬季内部气候变化指数在预测未来两个到六个季节的生长季节植被生产力方面显示出很强的潜力,这使各国政府和农民能够预测作物产量,以确保提供负担得起的食物、进行早期饥荒预警,并计划管理选项,以提前最小化产量损失。

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