Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems

• Published in: Ecological Applications
• Main Authors: Huemmrich, Karl Fred, Vargas Zesati, Sergio, Campbell, Petya, Tweedie, Craig
• Format: Text
• Language: English
• Published: John Wiley and Sons Inc. 2021
• Subjects: Articles; Browning; taiga; Tundra
• Online Access: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285598/; http://www.ncbi.nlm.nih.gov/pubmed/34374152; https://doi.org/10.1002/eap.2435

Multiyear trends in Normalized Difference Vegetation Index (NDVI) have been used as metrics of high latitude ecosystem change based on the assumption that NDVI change is associated with ecological change, generally as changes in green vegetation amount (green leaf area index [LAI] or plant cover). Further, no change in NDVI is often interpreted as no change in these variables. Three canopy reflectance models including linear mixture model, the SAIL (Scattering from Arbitrarily Inclined Leaves) model, and the GeoSail model were used to simulate scenarios representing high latitude landscape NDVI responses to changes in LAI and plant cover. The simulations showed inconsistent NDVI responses. Clear increases in NDVI are generally associated with increases in LAI and plant cover. At higher values of LAI, the change in NDVI per unit change in LAI decreases, with very little change in spruce forest NDVI where crown cover is >50% and at the tundra–taiga ecotone with transitions from shrub tundra to spruce woodland. These lower responses may bias the interpretation of greening/browning trends in boreal forests. Variations in water or snow coverage were shown to produce outsized nonbiological NDVI responses. Inconsistencies in NDVI responses exemplify the need for care in the interpretation of NDVI change as a metric of high latitude ecosystem change, and that landscape characteristics in terms of the type of cover and its characteristics, such as the initial plant cover, must be taken into account in evaluating the significance of any observed NDVI trends.