(Q58315700)

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Detecting and predicting spatial and interannual patterns of temperate forest springtime phenology in the eastern U.S

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Detecting and predicting spatial and interannual patterns of temperate forest springtime phenology in the eastern U.S (English)

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1 reference

J. P. Jenkins

1

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B. H. Braswell

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2

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S. E. Frolking

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3

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J. D. Aber

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4

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language of work or name

English

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publication date

December 2002

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published in

Geophysical Research Letters

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volume

29

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issue

24

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page(s)

54-1-54-4

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cites work

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Increased carbon sequestration by a boreal deciduous forest in years with a warm spring

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Vegetation/Ecosystem Modeling and Analysis Project:Comparing biogeography and biogeochemistry models in a continental-scale study of terrestrial ecosystem responses to climate change and CO2doubling

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Satellite-based identification of linked vegetation index and sea surface temperature Anomaly areas from 1982-1990 for Africa, Australia and South America

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The impact of growing-season length variability on carbon assimilation and evapotranspiration over 88 years in the eastern US deciduous forest

1 reference

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A continental phenology model for monitoring vegetation responses to interannual climatic variability

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21 January 2018

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Predicting the effects of climate change on water yield and forest production in the northeastern United States

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7 January 2021

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The VEMAP Integrated Database for Modelling United States Ecosystem/Vegetation Sensitivity to Climate Change

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reference URL

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retrieved

7 January 2021

based on heuristic

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(Q58315700)

Detecting and predicting spatial and interannual patterns of temperate forest springtime phenology in the eastern U.S

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