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

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). F...

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Autores principales: Huemmrich, Karl Fred, Vargas Zesati, Sergio, Campbell, Petya, Tweedie, Craig
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285598/
https://www.ncbi.nlm.nih.gov/pubmed/34374152
http://dx.doi.org/10.1002/eap.2435
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author Huemmrich, Karl Fred
Vargas Zesati, Sergio
Campbell, Petya
Tweedie, Craig
author_facet Huemmrich, Karl Fred
Vargas Zesati, Sergio
Campbell, Petya
Tweedie, Craig
author_sort Huemmrich, Karl Fred
collection PubMed
description 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.
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spelling pubmed-92855982022-07-18 Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems Huemmrich, Karl Fred Vargas Zesati, Sergio Campbell, Petya Tweedie, Craig Ecol Appl Articles 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. John Wiley and Sons Inc. 2021-08-26 2021-12 /pmc/articles/PMC9285598/ /pubmed/34374152 http://dx.doi.org/10.1002/eap.2435 Text en © 2021 The Authors. Ecological Applications published by Wiley Periodicals LLC on behalf of Ecological Society of America. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Articles
Huemmrich, Karl Fred
Vargas Zesati, Sergio
Campbell, Petya
Tweedie, Craig
Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems
title Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems
title_full Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems
title_fullStr Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems
title_full_unstemmed Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems
title_short Canopy reflectance models illustrate varying NDVI responses to change in high latitude ecosystems
title_sort canopy reflectance models illustrate varying ndvi responses to change in high latitude ecosystems
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9285598/
https://www.ncbi.nlm.nih.gov/pubmed/34374152
http://dx.doi.org/10.1002/eap.2435
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