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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Izquierdo-Verdiguier E. | - |
dc.contributor.other | Zurita-Milla R. | - |
dc.contributor.other | Ault T.R. | - |
dc.contributor.other | Schwartz M.D. | - |
dc.date.accessioned | 2020-05-11T08:55:39Z | - |
dc.date.available | 2020-05-11T08:55:39Z | - |
dc.date.issued | 2018. | - |
dc.identifier.citation | Agricultural and forest meteorology | - |
dc.identifier.citation | Vol. 262, pp.34-41 | - |
dc.identifier.issn | 0168-1923 | - |
dc.identifier.other | 00025112 | - |
dc.identifier.uri | http://tailieuso.tlu.edu.vn/handle/DHTL/8498 | - |
dc.description.abstract | The spatial analysis shows a significantly delayed spring onset in the northern US whereas in the western and the Great Lakes region, spring onset advances. The mean temporal variabilities of the indices were analyzed for the nine major climatic regions of the US and results showed a clear division into three main groups: early, average and late spring onset. Finally, the region belonging to each group was mapped. These examples show the potential of our four phenological products to improve understanding of the responses of ecosystems to a changing climate. | - |
dc.description.uri | https://www.sciencedirect.com/science/article/pii/S0168192318302193?via%3Dihub | - |
dc.language | eng | - |
dc.publisher | null | - |
dc.subject | Climate change | - |
dc.subject | Extended Spring Indices | - |
dc.subject | Google Earth engine | - |
dc.subject | Cloud computing | - |
dc.subject | Time series analysis | - |
dc.title | Development and analysis of spring plant phenology products36 years of 1-km grids over the conterminous US | - |
dc.type | BB | - |
dc.date.submitte | 30605s | - |
Appears in Collections: | Tài liệu mở |
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