Local cooling and warming effects of forests based on satellite observations.
Local cooling and warming effects of forests based on satellite observations.
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基于卫星观测的森林局部降温和变暖效应
DOI：
10.1038/ncomms7603
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发表时间：
2015-03-31
影响因子：
16.6
通讯作者：
Li, Shuangcheng
中科院分区：
文献类型：
--
作者：
Li, Yan;Zhao, Maosheng;Motesharrei, Safa;Mu, Qiaozhen;Kalnay, Eugenia;Li, Shuangcheng
森林对气候的生物物理影响已经用气候模式进行了广泛的研究。然而，由于其粗糙的空间分辨率和不确定性，模型不能准确地再现当地的气候影响，实地观测是有价值的，但往往不够，由于其覆盖范围有限。在这里，我们提出了从全球卫星数据中获得的新证据，以分析森林对当地气候的生物物理影响。结果表明：热带森林全年都有较强的降温作用;温带森林夏季中等降温，冬季中等增温，年净降温;寒带森林冬季强增温，夏季中等降温，年净增温。时空变冷或变暖效应主要由两种相互竞争的生物物理效应驱动，即蒸散和蒸发，而这两种效应又受到降雨和降雪的强烈影响。我们基于卫星的研究的影响可能有助于为当地林业政策提供信息。 由于模型和实地观测的空间分辨率较低，人们对森林对当地气候的影响仍然知之甚少。在这里，作者使用全球卫星数据来分析热带，温带和北方森林对气候的时空冷却或变暖效应。
The biophysical effects of forests on climate have been extensively studied with climate models. However, models cannot accurately reproduce local climate effects due to their coarse spatial resolution and uncertainties, and field observations are valuable but often insufficient due to their limited coverage. Here we present new evidence acquired from global satellite data to analyse the biophysical effects of forests on local climate. Results show that tropical forests have a strong cooling effect throughout the year; temperate forests show moderate cooling in summer and moderate warming in winter with net cooling annually; and boreal forests have strong warming in winter and moderate cooling in summer with net warming annually. The spatiotemporal cooling or warming effects are mainly driven by the two competing biophysical effects, evapotranspiration and albedo, which in turn are strongly influenced by rainfall and snow. Implications of our satellite-based study could be useful for informing local forestry policies. Local climatic effects of forests remain poorly understood due to the coarse spatial resolution of models and field observations. Here, the authors use global satellite data to analyse the spatiotemporal cooling or warming effects of tropical, temperate and boreal forests on climate.
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影响因子：
30.7
作者：
Luyssaert, Sebastiaan;Jammet, Mathilde;Dolman, A. Johannes
通讯作者：
Dolman, A. Johannes
影响因子：
4.9
作者：
de Noblet-Ducoudre, Nathalie;Boisier, Juan-Pablo;Voldoire, A.
通讯作者：
Voldoire, A.
DOI：
10.1073/pnas.0608998104
发表时间：
2007-04-17
影响因子：
11.1
作者：
Bala, G.;Caldeira, K.;Mirin, A.
通讯作者：
Mirin, A.
影响因子：
5.1
作者：
Liu, Qiang;Wang, Lizhao;Liang, Shunlin
通讯作者：
Liang, Shunlin
影响因子：
4.4
作者：
Boisier, J. P.;de Noblet-Ducoudre, N.;Voldoire, A.
通讯作者：
Voldoire, A.