| 东西伯利亚苔原—泰加林过渡带植被遥感物候时空特征及其对气温变化的响应 |
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| 引用本文： | 李程,庄大方,何剑锋,文可戈.东西伯利亚苔原—泰加林过渡带植被遥感物候时空特征及其对气温变化的响应[J].地理学报,2021,76(7):1634-1648. |
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| 作者姓名： | 李程 庄大方 何剑锋 文可戈 |
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| 作者单位： | 1.中国科学院地理科学与资源研究所 资源与环境信息系统国家重点实验室,北京 1001012.中国科学院大学,北京 100049 |
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| 基金项目： | 高分辨率对地观测系统国家重大科技专项项目(30-Y20A07-9003-17/18) |
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| 摘 要： | 物候变化是气候变化的重要指示器,通过对植被物候时空变化的研究可以为进一步分析全球气候变化提供依据。基于2000—2017年MODIS-NDVI时间序列数据,利用不对称高斯函数和动态阈值法,提取、分析了东西伯利亚苔原—泰加林过渡带植被生长季起始期（SOS）、结束期（EOS）、中期（MOS）和长度（LOS）4种植被遥感物候参数的时空变化格局。同时结合同期CRU（Climate Research Unit）气温观测数据,分析了4种物候参数对气温变化的响应关系。结果表明：遥感物候参数可以直接、有效地反映气温的变化：研究区64°N以南区域4—5月气温升高,对应区域SOS提前5~15 d;64°N~72°N之间5—6月气温升高,对应区域SOS提前10~25 d;最北端北冰洋沿岸6月气温升高幅度较小且7月气温降低,对应区域SOS推后15~25 d;西北部8月、西南部9月气温降低,对应地区EOS提前15~30 d;67°N以南区域9—10月气温升高,对应区域EOS推后5~30 d;EOS的变化对气温变化较SOS更为敏感,较小的气温波动即引起EOS较大的变动;研究区内植被生长季整体呈前移趋势,且西北部LOS缩短,中部、南部LOS延长。
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| 关 键 词： | 遥感物候 气候变化 西伯利亚 不对称高斯函数 MODIS-NDVI |
| 收稿时间： | 2020-05-07 |
| 修稿时间： | 2021-04-27 |
Spatiotemporal variations in remote sensing phenology of vegetation and its responses to temperature change of boreal forest in tundra-taiga transitional zone in the Eastern Siberia |
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| LI Cheng,ZHUANG Dafang,HE Jianfeng,WEN Kege.Spatiotemporal variations in remote sensing phenology of vegetation and its responses to temperature change of boreal forest in tundra-taiga transitional zone in the Eastern Siberia[J].Acta Geographica Sinica,2021,76(7):1634-1648. |
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| Authors: | LI Cheng ZHUANG Dafang HE Jianfeng WEN Kege |
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| Institution: | 1. State Key Laboratory of Resources and Environment Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China2. University of Chinese Academy of Sciences, Beijing 100049, China |
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| Abstract: | Phenology is an important indicator of climate change. Studying spatiotemporal variations in remote sensing phenology of vegetation can provide a basis for further analysis of global climate change. Based on time series data of MODIS-NDVI from 2000 to 2017, we extracted and analyzed four remote sensing phenological parameters of vegetation, including the Start of Season (SOS), the End of Season (EOS), the Middle of Season (MOS) and the Length of Season (LOS), in tundra-taiga transitional zone in the East Siberia, using asymmetric Gaussian function and dynamic threshold methods. Meanwhile, we analyzed the responses of the four phenological parameters to the temperature change based on the temperature change data from Climate Research Unit (CRU). The results show that: in regions south of 64°N, with the rise of temperature in April and May, the SOS in the corresponding area was 5-15 days ahead of schedule; in the area between 64°N and 72°N, with the rise of temperature in May and June, the SOS in the corresponding area was 10-25 days ahead of schedule; in the northernmost of the study area on the coast of the Arctic Ocean, with the drop of temperature in May and June, the SOS in the corresponding area was 15-25 days behind schedule; in the northwest of the study area in August and the southwest in September, with the drop of temperature, the EOS in the corresponding areas was 15-30 days ahead of schedule; in regions south of 67°N, with the rise of temperature in September and October, the EOS in the corresponding area was 5-30 days behind schedule; the change of the EOS in autumn was more sensitive to the change of the SOS in spring, because the smaller temperature fluctuation can cause the larger change of the EOS; the growth season of vegetation in the study area was generally moving forward, and the LOS in the northwest was shortened, while the LOS in the middle and south of the study area was prolonged. |
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| Keywords: | remote sensing phenology climate change Siberia asymmetric Gaussian function MODIS-NDVI |
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