Examining Relationships between Heat Requirement of Remotely Sensed Green-Up Date and Meteorological Indicators in the Hulun Buir Grassland
文献类型: 外文期刊
第一作者: Guo, Jian
作者: Guo, Jian;Yang, Xiuchun;Chen, Ang;Guo, Jian;Niu, Jianming;Chen, Fan;Luo, Sha;Zhang, Min;Jin, Yunxiang;Xing, Xiaoyu;Yang, Dong;Xu, Bin;Shen, Ge
作者机构:
关键词: green-up date; accumulated growing degree-days; climate change; meteorological indicators; Hulun Buir; grassland
期刊名称:REMOTE SENSING ( 影响因子:4.509; 五年影响因子:5.001 )
ISSN:
年卷期: 2021 年 13 卷 5 期
页码:
收录情况: SCI
摘要: The accumulation of heat and moderate precipitation are the primary factors that are used by grasslands to trigger a green-up date. The accumulated growing degree-days (AGDD) requirement over the preseason is an important indicator of the response of grassland spring phenology to climate change. This study adopted the Normalized Difference Phenology Index (NDPI), which derived from the Moderate Resolution Imaging Spectroradiometer (MODIS), to extract annual green-up dates in the Hulun Buir grassland in China between 2001-2015. Our analysis indicated that the range (standard deviation) and trend for the green-up date were DOY (day of year) 104 to DOY 144 (10.6 days) and -2.0 days per decade. Nine point two percent of the study area had significant (p < 0.05) changes in AGDD requirements. The partial correlations between the AGDD requirements and chilling days (67.04%, pixels proportion) were negative and significant (p < 0.05). The partial correlations between the AGDD requirement and precipitation (28.87%) were positive and significant (p < 0.05). Finally, the partial correlation between the AGDD requirement and insolation (97.65%) were positive and significant (p < 0.05). The results of this study could reveal the response of vegetation to climate warming and contribute to improving the phenological mechanism model of different grassland types in future research.
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