Potential and Actual impacts of deforestation and afforestation on land surface temperature
Potential and Actual impacts of deforestation and afforestation on land surface temperature
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毁林和造林对地表温度的潜在和实际影响
DOI：
10.1002/2016jd024969
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发表时间：
2016-12-01
影响因子：
4.4
通讯作者：
Wang, Kaicun
中科院分区：
文献类型：
--
作者：
Li, Yan;Zhao, Maosheng;Wang, Kaicun
全球的森林正在发生重大变化。这些变化可以改变陆地表面的水、能量和碳平衡，最终会影响气候。利用卫星数据量化了2003 - 2013年森林变化对地表温度的潜在和实际影响。森林变化对温度的潜在影响是通过森林和附近非林地的地表温度差来计算的，而对温度的实际影响是通过多年来毁林（造林）和附近未变森林（非林地）的地表温度趋势差来量化的。在年和季节水平上发现的潜在影响和实际影响之间的良好一致性表明，森林变化可以对地表温度趋势产生可探测的影响。然而，对最高和最低温度的影响是不同的。总体而言，森林砍伐对热带地区的平均温度趋势造成了0.28 K/ 10年的显著升温，对北方地区的平均温度趋势造成了-0.55 K/ 10年的降温，对北温带地区的影响较弱，对南温带地区的影响较强（高达0.32 K/ 10年）。植树造林对温度趋势产生相反的影响。估计的温度影响的大小取决于阈值和用来定义森林覆盖变化的数据集（中分辨率成像光谱仪和陆地卫星）。这种温度影响的纬向格局主要是由反照率和蒸散发对温度的竞争作用造成的。本文开发的方法可用于评估全球森林覆盖变化引起的温度变化。
Forests are undergoing significant changes throughout the globe. These changes can modify water, energy, and carbon balance of the land surface, which can ultimately affect climate. We utilize satellite data to quantify the potential and actual impacts of forest change on land surface temperature (LST) from 2003 to 2013. The potential effect of forest change on temperature is calculated by the LST difference between forest and nearby nonforest land, whereas the actual impact on temperature is quantified by the LST trend difference between deforested (afforested) and nearby unchanged forest (nonforest land) over several years. The good agreement found between potential and actual impacts both at annual and seasonal levels indicates that forest change can have detectable impacts on surface temperature trends. That impact, however, is different for maximum and minimum temperatures. Overall, deforestation caused a significant warming up to 0.28 K/decade on average temperature trends in tropical regions, a cooling up to -0.55 K/decade in boreal regions, a weak impact in the northern temperate regions, and strong warming (up to 0.32 K/decade) in the southern temperate regions. Afforestation induced an opposite impact on temperature trends. The magnitude of the estimated temperature impacts depends on both the threshold and the data set (Moderate Resolution Imaging Spectroradiometer and Landsat) by which forest cover change is defined. Such a latitudinal pattern in temperature impact is mainly caused by the competing effects of albedo and evapotranspiration on temperature. The methodology developed here can be used to evaluate the temperature change induced by forest cover change around the globe.