Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth

Abstract Wetness and warmth are the principal factors that control global vegetation distribution. This paper investigates climate–vegetation relationships at a global scale using the normalized difference vegetation index (NDVI), warmth index (WAI), and wetness index (WEI). The NDVI was derived fro...

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Published in:International Journal of Climatology
Main Authors: Suzuki, Rikie, Xu, Jianqing, Motoya, Ken
Format: Article in Journal/Newspaper
Language:English
Published: Wiley 2006
Subjects:
Online Access:http://dx.doi.org/10.1002/joc.1256
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.1256
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.1256
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spelling crwiley:10.1002/joc.1256 2024-06-23T07:57:08+00:00 Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth Suzuki, Rikie Xu, Jianqing Motoya, Ken 2006 http://dx.doi.org/10.1002/joc.1256 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.1256 https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.1256 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor International Journal of Climatology volume 26, issue 4, page 425-438 ISSN 0899-8418 1097-0088 journal-article 2006 crwiley https://doi.org/10.1002/joc.1256 2024-06-11T04:46:24Z Abstract Wetness and warmth are the principal factors that control global vegetation distribution. This paper investigates climate–vegetation relationships at a global scale using the normalized difference vegetation index (NDVI), warmth index (WAI), and wetness index (WEI). The NDVI was derived from a global, 20‐year Advanced Very High Resolution Radiometer (AVHRR) dataset with 4‐min resolution. The WEI was defined as the ratio of precipitation to potential evaporation. The WAI was defined as the cumulative monthly mean temperature that exceeds 5 °C annually. Meteorological data from the International Satellite Land‐Surface Climatology Project Initiative II (ISLSCP II) dataset were used to calculate the WEI and WAI. All analyses used annual values based on averages from 1986 to 1995 at 1 × 1 degree resolution over land. Relationships among NDVI, WEI, and WAI values were examined using a vegetation‐climate diagram with the WEI and WAI as orthogonal coordinates. The diagram shows that large NDVI values correspond to areas of tropical and temperate forests and large WEI and WAI values. Small WEI and WAI values are associated with small NDVI values that correspond to desert and tundra, respectively. Two major regimes are revealed by the NDVI vegetation‐climate diagram: wetness dominant and warmth dominant. Wetness dominates mid‐ and low latitudes. Warmth dominates high latitudes north of 60°N or elevated land such as the Tibetan Plateau. The boundary between the two regimes roughly corresponds to the vegetation boundary between taiga forest and southern vegetation. Over northern Eurasia, the boundary occurs in areas where the NDVI is large and the maximum monthly temperature is around 18 °C. Copyright © 2006 Royal Meteorological Society. Article in Journal/Newspaper taiga Tundra Wiley Online Library International Journal of Climatology 26 4 425 438
institution Open Polar
collection Wiley Online Library
op_collection_id crwiley
language English
description Abstract Wetness and warmth are the principal factors that control global vegetation distribution. This paper investigates climate–vegetation relationships at a global scale using the normalized difference vegetation index (NDVI), warmth index (WAI), and wetness index (WEI). The NDVI was derived from a global, 20‐year Advanced Very High Resolution Radiometer (AVHRR) dataset with 4‐min resolution. The WEI was defined as the ratio of precipitation to potential evaporation. The WAI was defined as the cumulative monthly mean temperature that exceeds 5 °C annually. Meteorological data from the International Satellite Land‐Surface Climatology Project Initiative II (ISLSCP II) dataset were used to calculate the WEI and WAI. All analyses used annual values based on averages from 1986 to 1995 at 1 × 1 degree resolution over land. Relationships among NDVI, WEI, and WAI values were examined using a vegetation‐climate diagram with the WEI and WAI as orthogonal coordinates. The diagram shows that large NDVI values correspond to areas of tropical and temperate forests and large WEI and WAI values. Small WEI and WAI values are associated with small NDVI values that correspond to desert and tundra, respectively. Two major regimes are revealed by the NDVI vegetation‐climate diagram: wetness dominant and warmth dominant. Wetness dominates mid‐ and low latitudes. Warmth dominates high latitudes north of 60°N or elevated land such as the Tibetan Plateau. The boundary between the two regimes roughly corresponds to the vegetation boundary between taiga forest and southern vegetation. Over northern Eurasia, the boundary occurs in areas where the NDVI is large and the maximum monthly temperature is around 18 °C. Copyright © 2006 Royal Meteorological Society.
format Article in Journal/Newspaper
author Suzuki, Rikie
Xu, Jianqing
Motoya, Ken
spellingShingle Suzuki, Rikie
Xu, Jianqing
Motoya, Ken
Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth
author_facet Suzuki, Rikie
Xu, Jianqing
Motoya, Ken
author_sort Suzuki, Rikie
title Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth
title_short Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth
title_full Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth
title_fullStr Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth
title_full_unstemmed Global analyses of satellite‐derived vegetation index related to climatological wetness and warmth
title_sort global analyses of satellite‐derived vegetation index related to climatological wetness and warmth
publisher Wiley
publishDate 2006
url http://dx.doi.org/10.1002/joc.1256
https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjoc.1256
https://rmets.onlinelibrary.wiley.com/doi/pdf/10.1002/joc.1256
genre taiga
Tundra
genre_facet taiga
Tundra
op_source International Journal of Climatology
volume 26, issue 4, page 425-438
ISSN 0899-8418 1097-0088
op_rights http://onlinelibrary.wiley.com/termsAndConditions#vor
op_doi https://doi.org/10.1002/joc.1256
container_title International Journal of Climatology
container_volume 26
container_issue 4
container_start_page 425
op_container_end_page 438
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