Change in winter snow depth and its impacts on vegetation in China

Abstract Snow on land is an important component of the global climate system, but our knowledge about the effects of its changes on vegetation are limited, particularly in temperate regions. In this study, we use daily snow depth data from 279 meteorological stations across China to investigate the...

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Published in:Global Change Biology
Main Authors: PENG, SHUSHI, PIAO, SHILONG, CIAIS, PHILIPPE, FANG, JINGYUN, WANG, XUHUI
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2010
Subjects:
Online Access:http://dx.doi.org/10.1111/j.1365-2486.2010.02210.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1365-2486.2010.02210.x
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spelling crwiley:10.1111/j.1365-2486.2010.02210.x 2024-09-30T14:45:24+00:00 Change in winter snow depth and its impacts on vegetation in China PENG, SHUSHI PIAO, SHILONG CIAIS, PHILIPPE FANG, JINGYUN WANG, XUHUI 2010 http://dx.doi.org/10.1111/j.1365-2486.2010.02210.x https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1365-2486.2010.02210.x https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-2486.2010.02210.x en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Global Change Biology volume 16, issue 11, page 3004-3013 ISSN 1354-1013 1365-2486 journal-article 2010 crwiley https://doi.org/10.1111/j.1365-2486.2010.02210.x 2024-09-05T05:07:44Z Abstract Snow on land is an important component of the global climate system, but our knowledge about the effects of its changes on vegetation are limited, particularly in temperate regions. In this study, we use daily snow depth data from 279 meteorological stations across China to investigate the distribution of winter snow depth (December–February) from 1980 to 2005 and its impact on vegetation growth, here approximated by satellite‐derived vegetation greenness index observations [Normalized Difference Vegetation Index (NDVI)]. The snow depth trends show strong geographical heterogeneities. An increasing trend (>0.01 cm yr −1 ) in maximum and mean winter snow depth is found north of 40°N (e.g. Northeast China, Inner Mongolia, and Northwest China). A declining trend (<−0.01 cm yr −1 ) is observed south of 40°N, particularly over Central and East China. The effect of changes in snow depth on vegetation growth was examined for several ecosystem types. In deserts, mean winter snow depth is significantly and positively correlated with NDVI during both early (May and June) and mid‐growing seasons (July and August), suggesting that winter snow plays a critical role in regulating desert vegetation growth, most likely through persistent effects on soil moisture. In grasslands, there is also a significant positive correlation between winter snow depth and NDVI in the period May–June. However, in forests, shrublands, and alpine meadow and tundra, no such correlation is found. These ecosystem‐specific responses of vegetation growth to winter snow depth may be due to differences in growing environmental conditions such as temperature and rainfall. Article in Journal/Newspaper Tundra Wiley Online Library Global Change Biology 16 11 3004 3013
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Snow on land is an important component of the global climate system, but our knowledge about the effects of its changes on vegetation are limited, particularly in temperate regions. In this study, we use daily snow depth data from 279 meteorological stations across China to investigate the distribution of winter snow depth (December–February) from 1980 to 2005 and its impact on vegetation growth, here approximated by satellite‐derived vegetation greenness index observations [Normalized Difference Vegetation Index (NDVI)]. The snow depth trends show strong geographical heterogeneities. An increasing trend (>0.01 cm yr −1 ) in maximum and mean winter snow depth is found north of 40°N (e.g. Northeast China, Inner Mongolia, and Northwest China). A declining trend (<−0.01 cm yr −1 ) is observed south of 40°N, particularly over Central and East China. The effect of changes in snow depth on vegetation growth was examined for several ecosystem types. In deserts, mean winter snow depth is significantly and positively correlated with NDVI during both early (May and June) and mid‐growing seasons (July and August), suggesting that winter snow plays a critical role in regulating desert vegetation growth, most likely through persistent effects on soil moisture. In grasslands, there is also a significant positive correlation between winter snow depth and NDVI in the period May–June. However, in forests, shrublands, and alpine meadow and tundra, no such correlation is found. These ecosystem‐specific responses of vegetation growth to winter snow depth may be due to differences in growing environmental conditions such as temperature and rainfall.
format Article in Journal/Newspaper
author PENG, SHUSHI
PIAO, SHILONG
CIAIS, PHILIPPE
FANG, JINGYUN
WANG, XUHUI
spellingShingle PENG, SHUSHI
PIAO, SHILONG
CIAIS, PHILIPPE
FANG, JINGYUN
WANG, XUHUI
Change in winter snow depth and its impacts on vegetation in China
author_facet PENG, SHUSHI
PIAO, SHILONG
CIAIS, PHILIPPE
FANG, JINGYUN
WANG, XUHUI
author_sort PENG, SHUSHI
title Change in winter snow depth and its impacts on vegetation in China
title_short Change in winter snow depth and its impacts on vegetation in China
title_full Change in winter snow depth and its impacts on vegetation in China
title_fullStr Change in winter snow depth and its impacts on vegetation in China
title_full_unstemmed Change in winter snow depth and its impacts on vegetation in China
title_sort change in winter snow depth and its impacts on vegetation in china
publisher Wiley
publishDate 2010
url http://dx.doi.org/10.1111/j.1365-2486.2010.02210.x
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1111%2Fj.1365-2486.2010.02210.x
https://onlinelibrary.wiley.com/doi/pdf/10.1111/j.1365-2486.2010.02210.x
genre Tundra
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op_source Global Change Biology
volume 16, issue 11, page 3004-3013
ISSN 1354-1013 1365-2486
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op_doi https://doi.org/10.1111/j.1365-2486.2010.02210.x
container_title Global Change Biology
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container_issue 11
container_start_page 3004
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