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dc.titleExamining relationships between heat requirement of remotely sensed green?up date and meteorological indicators in the hulun buir grassland
dc.contributor.authorGuo, Jian
dc.contributor.authorYang, Xiuchun
dc.contributor.authorChen, Fan
dc.contributor.authorNiu, Jianming
dc.contributor.authorLuo, Sha
dc.contributor.authorZhang, Min
dc.contributor.authorJin, Yunxiang
dc.contributor.authorShen, Ge
dc.contributor.authorChen, Ang
dc.contributor.authorXing, Xiaoyu
dc.contributor.authorYang, Dong
dc.contributor.authorXu, Bin
dc.identifier.citationGuo, Jian, Yang, Xiuchun, Chen, Fan, Niu, Jianming, Luo, Sha, Zhang, Min, Jin, Yunxiang, Shen, Ge, Chen, Ang, Xing, Xiaoyu, Yang, Dong, Xu, Bin (2021-03-09). Examining relationships between heat requirement of remotely sensed green?up date and meteorological indicators in the hulun buir grassland. Remote Sensing 13 (5) : 1044. ScholarBank@NUS Repository.
dc.description.abstractThe 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. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
dc.publisherMDPI AG
dc.rightsAttribution 4.0 International
dc.sourceScopus OA2021
dc.subjectAccumulated growing degree?days
dc.subjectClimate change
dc.subjectGreen?up date
dc.subjectHulun Buir
dc.subjectMeteorological indi-cators
dc.description.sourcetitleRemote Sensing
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