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Remote Monitoring of High-Latitude Conifer Growth Using the Satellite-Derived Normalized Difference Vegetation Index

Remote Monitoring of High-Latitude Conifer Growth Using the Satellite-Derived Normalized Difference Vegetation Index
Abstract Category: 
1.1. Advances in Understanding Arctic System Components
Type: 
Poster
Logan Berner1, Andy Bunn2, Andrea Lloyd3, Pieter Beck4
1Environmental Science, Western Washington University, 516 High Street, Bellingham, WA, 98225, USA, Phone (360) 650-6247, bernerl [at] students [dot] wwu [dot] edu
2Environmental Science, Western Washington University, Bellingham, WA, USA, andy [dot] bunn [at] wwu [dot] edu
3Middlebury College , Middlebury, VT, USA, lloyd [at] middlebury [dot] edu
4Woods Hole Research Center, Woods Hole, MA, USA, pbeck [at] whrc [dot] org

Satellite records are now becoming long enough to use for time-series analyses of vegetation dynamics. Past studies using the satellite-derived normalized difference vegetation index (NDVI) have found declining growth trends ("browning") in some regions of northern high-latitude forests. The intent of this study was to investigate the relationship between NDVI derived from the NOAA Advanced Very High Resolution Radiometers (AVHRR) and annual rates of cambial growth within conifer-dominant forest stands. Tree cores were collected from 12 sites in central and eastern Siberia, as well as from 11 sites in northwest Canada. Sampled taxa included larch, pine and spruce. The tree cores were processed using standard dendrochronological methods to produce stand-level ring-width chronologies. Correlation analyses were used to assess the relationship between each ring-width chronology and annual maximum NDVI over the 1982-2008 period. Ring width and NDVI showed weak though significant positive correlations over the 27 year period. Furthermore, significant autocorrelation at a lag of one year was observed in the tree-ring and NDVI signals for stands composed of pine and spruce, both evergreen conifers, though not for stands composed of larch, a deciduous conifer. The similarities in autocorrelation within both data sets imply a connection between cambial growth and canopy development, which is detected by the satellites even in low to moderately forested environments. These findings suggest that NDVI derived from the AVHRR system has some utility in monitoring high-latitude forest growth, though also highlights some limitations and areas of uncertainty.

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National Science Foundation | Division of Arctic Sciences
National Science Foundation
National Oceanic and Atmospheric Administration
National Oceanic and Atmospheric Administration
International Arctic Systems for Observing the Atmosphere
International Arctic Systems for Observing the Atmosphere
Study of Environmental Arctic Change
Study of Environmental Arctic Change
Arctic System Science Program
Arctic System Science Program
US Arctic Research Commission
US Arctic Research Commission
North Slope Science Initiative
North Slope Science Initiative
International Arctic Science Committee
International Arctic Science Committee
Arctic Ocean Sciences Board
Arctic Ocean Sciences Board
Alaska Ocean Observing System
Alaska Ocean Observing System
Department of Energy
Department of Energy
National Aeronautics and Space Administration
National Aeronautics and Space Administration
World Wildlife Fund
WWF
Association of Polar Early Career Scientists
Association of Polar Early Career Scientists
Bureau of Land Management
Bureau of Land Management
International Study of Arctic Change
International Study of Arctic Change
ArcticNet
ArcticNet
DAMOCLES
Developing Arctic Modeling and Observing Capabilities for Long-term Environmental Studies

This work is supported by the National Science Foundation (NSF) under the ARCUS Cooperative Agreement ARC-0618885. Any opinions, findings, and conclusions or recommendations expressed do not necessarily reflect the views of the NSF.