Primary Research Article
Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis
Version of Record online: 21 DEC 2012
© 2012 Blackwell Publishing Ltd
Global Change Biology
Volume 19, Issue 3, pages 881–891, March 2013
How to Cite
Cong, N., Wang, T., Nan, H., Ma, Y., Wang, X., Myneni, R. B. and Piao, S. (2013), Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: a multimethod analysis. Global Change Biology, 19: 881–891. doi: 10.1111/gcb.12077
- Issue online: 29 JAN 2013
- Version of Record online: 21 DEC 2012
- Accepted manuscript online: 3 NOV 2012 09:20AM EST
- Manuscript Accepted: 25 OCT 2012
- Manuscript Revised: 24 OCT 2012
- Manuscript Received: 21 AUG 2012
- National Natural Science Foundation of China. Grant Numbers: 41125004, 30970511
- Chinese Ministry of Environmental Protection. Grant Number: 201209031
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Table S1. Pearson's correlation coefficient for the relationship between spring green-up onset date and climate variables [preseason temperature (T) and preseason precipitation (P)] estimated by the five methods (mean ± SD) in all sites and in different vegetation types.
Table S2. Sensitivity of spring green-up onset dates to preseason temperature (T) (days per oC) and to preseason precipitation (P) (days per 100 mm) estimated by the five methods (mean ± SD) in all sites and in different vegetation types.
Figure S1. Spatial distribution of vegetation types over the temperate China (NF is needleleaf forests, MF is needleleaf and broadleaf mixed forests, BF is broadleaf forests, SCB is scrubs, DV is desert vegetation, GRA is grasslands, MD is meadows, MSH is marshes, ALP is alpine vegetation, CV is cultivated vegetation).
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