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首页> 外文期刊>Remote Sensing of Environment: An Interdisciplinary Journal >Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities
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Remotely sensed assessment of urbanization effects on vegetation phenology in China's 32 major cities

机译:中国32个主要城市的城市化对植被物候的影响的遥感评估

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摘要

Urbanization-induced phenological shifts may provide evidence on how vegetation will respond to global warming. However, the effects of urbanization on vegetation phenology are poorly understood in urban environments. Using MODIS data between 2007 and 2013, we investigated the trends of the phenological metrics (i.e., start, end, and length of growing season: SOS, EOS and GSL) of individual cities and across cities relative to rural areas for China's 32 major cities. We found that the effects of urbanization on phenology decayed exponentially toward rural areas, and were closely related to the land surface temperature (LST) for more than half of the cities. The phenological sensitivity to temperature were 9-11 days SOS advance and 6-10 days EOS delay per 1 degrees C increase of LST. On average across all cities, the growing season started 11.9 days earlier and ended 5.4 days later in urban zones compared to rural counterparts. The urbanization effects increased with increasing latitudes, following the pattern of urban heat island effects in general. Our study suggests the value of urban environments in studying the phenological responses to future global change. However, the urbanization impacts are complex and need more direct observations, experimental manipulations, and cross boundary inter-comparison studies. (C) 2016 Elsevier Inc. All rights reserved.
机译:城市化引起的物候变化可能提供有关植被将如何响应全球变暖的证据。但是,在城市环境中,人们对城市化对植被物候的影响知之甚少。利用2007年至2013年之间的MODIS数据,我们调查了中国32个主要城市以及相对于农村地区的各个城市的物候指标趋势(即生长期的开始,结束和长短:SOS,EOS和GSL) 。我们发现,城市化对物候的影响向农村地区呈指数衰减,并且与半数以上城市的地表温度(LST)密切相关。对温度的物候敏感性是每升高1摄氏度LST,SOS提前9-11天,EOS延迟6-10天。在所有城市中,与农村地区相比,城市地区的生长季节平均提前了11.9天,而市区结束了5.4天。总体上,城市化效应随着纬度的增加而增加,大致遵循城市热岛效应的模式。我们的研究表明城市环境在研究未来全球变化的物候响应中的价值。但是,城市化的影响是复杂的,需要更直接的观察,实验操作和跨界比较研究。 (C)2016 Elsevier Inc.保留所有权利。

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