NDVI variation and its relation to climate in Canadian ecozones

Parks Canada began the Northern Satellite Monitoring Program in 1997, with the objective of tracking large‐scale vegetation variation in Canadian ecosystems and helping land managers to develop appropriate management practices in response to climate change. Under this program, a sequence of 10‐day c...

Full description

Saved in:
Bibliographic Details
Published in:The Canadian geographer 2012-12, Vol.56 (4), p.492-507
Main Authors: He, Yuhong, Guo, Xulin, Dixon, Paul, Wilmshurst, John F.
Format: Article
Language:English
Subjects:
Agricultural research
America
analyse par ondelettes
Annual variations
AVHRR NDVI
Bgi / Prodig
Canada
Climate change
climate conditions
Climatic data
conditions climatiques
Ecosystems
Environmental management
Environmental monitoring
Expressed sequence tags
Indice de végétation par différence normalisée
Land management
Normalized difference vegetative index
Perfectionism
Physical geography
Plant climatology
Precipitation
Radiomètre perfectionnéà très haute résolution
relations saisonnières et interannuelles
Satellite observation
Satellites
seasonal and inter-annual relationships
Seasonal variations
Spatial analysis
Statistical analysis
Statistics
Strategic management
Surveillance systems
Technology
Temperature
Tracking
Variance
variation de la végétation
Vegetation
Vegetation and climate
vegetation variation
Vegetation zones
Wavelet analysis
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Parks Canada began the Northern Satellite Monitoring Program in 1997, with the objective of tracking large‐scale vegetation variation in Canadian ecosystems and helping land managers to develop appropriate management practices in response to climate change. Under this program, a sequence of 10‐day composite Advanced Very High Resolution Radiometer (AVHRR)‐derived Normalized Difference Vegetation Index (NDVI) data from 1985 to 2007 was examined to study seasonal and inter‐annual relationships between vegetation and climate data over Canadian ecosystems using statistical and wavelet analysis. Statistical analysis showed that temperature was the principal driver for seasonal variability in greenness, explaining more than 70 percent of seasonal variation in vegetation for most Canadian ecozones. In comparison with temperature, the relationships between NDVI and precipitation were weaker but still significant. Maximum annual NDVI showed increasing trends in Canadian ecozones during the study period, although increasing rates were spatially heterogeneous. Wavelet analysis confirmed that inter‐annual variation in NDVI was different at two ecozones in Canada. NDVI variation in the Northern Arctic was significant at scales of 3–4 years from 1997 to 2001, which was associated with temperature and precipitation variation. Comparatively, NDVI variation in the Boreal Shield was significant at scales of 5–8 years from 1991 to 1999, but did not correspond with climate variation . La variation de l’IVDN et son rapport avec le climat dans les écozones du Canada Parcs Canada lançait son Programme de surveillance par satellite des écosystèmes du Nord en 1997 dans le but de suivre la variation de la végétation à grande échelle dans les écosystèmes canadiens et de soutenir les efforts des gestionnaires des terres face aux changements climatiques. Dans le cadre de ce programme, des analyses statistiques et par ondelettes ont été menées sur une séquence de données composites de dix jours de l’Indice de végétation par différence normalisée (IVDN) recueillies entre 1985 et 2007 à l’aide du Radiomètre perfectionnéà très haute résolution afin d’examiner les relations saisonnières et interannuelles entre la végétation et des données sur le climat dans les écosystèmes canadiens. Les résultats de l’analyse statistique montrent que la température constituait le facteur déterminant de la variabilité saisonnière du couvert végétal comptant pour plus de 70 pourcent de variation saisonnière
ISSN:0008-3658
1541-0064
DOI:10.1111/j.1541-0064.2012.00441.x