Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?

<p>Understanding the link between vegetation characteristics and tree transpiration is a critical need to facilitate satellite-based transpiration estimation. Many studies use the Normalized Difference Vegetation Index (NDVI), a proxy for tree biophysical characteristics, to estimate evapotran...

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Main Authors: A. J. Hoek van Dijke, K. Mallick, A. J. Teuling, M. Schlerf, M. Machwitz, S. K. Hassler, T. Blume, M. Herold
Format: Article
Language:English
Published: Copernicus Publications 2019-04-01
Series:Hydrology and Earth System Sciences
Online Access:https://www.hydrol-earth-syst-sci.net/23/2077/2019/hess-23-2077-2019.pdf
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spelling doaj-9632fb85f39f49e99e7af6f2b527b5542020-11-25T01:12:22ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382019-04-01232077209110.5194/hess-23-2077-2019Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?A. J. Hoek van Dijke0A. J. Hoek van Dijke1A. J. Hoek van Dijke2K. Mallick3A. J. Teuling4M. Schlerf5M. Machwitz6S. K. Hassler7T. Blume8M. Herold9Environmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, LuxembourgHydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the NetherlandsLaboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, the NetherlandsEnvironmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, LuxembourgHydrology and Quantitative Water Management Group, Wageningen University & Research, Wageningen, the NetherlandsEnvironmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, LuxembourgEnvironmental Sensing and Modelling, Environmental Research and Innovation Department, Luxembourg Institute of Science and Technology (LIST), Belvaux, LuxembourgInstitute of Water and River Basin Management, Karlsruhe Institute of Technology (KIT), Karlsruhe, GermanyHydrology Section, GFZ German Research Centre for Geosciences, Potsdam, GermanyLaboratory of Geo-Information Science and Remote Sensing, Wageningen University & Research, Wageningen, the Netherlands<p>Understanding the link between vegetation characteristics and tree transpiration is a critical need to facilitate satellite-based transpiration estimation. Many studies use the Normalized Difference Vegetation Index (NDVI), a proxy for tree biophysical characteristics, to estimate evapotranspiration. In this study, we investigated the link between sap velocity and 30&thinsp;m resolution Landsat-derived NDVI for 20 days during 2 contrasting precipitation years in a temperate deciduous forest catchment. Sap velocity was measured in the Attert catchment in Luxembourg in 25 plots of <span class="inline-formula">20×20</span>&thinsp;m covering three geologies with sensors installed in two to four trees per plot. The results show that, spatially, sap velocity and NDVI were significantly positively correlated in April, i.e. NDVI successfully captured the pattern of sap velocity during the phase of green-up. After green-up, a significant negative correlation was found during half of the studied days. During a dry period, sap velocity was uncorrelated with NDVI but influenced by geology and aspect. In summary, in our study area, the correlation between sap velocity and NDVI was not constant, but varied with phenology and water availability. The same behaviour was found for the Enhanced Vegetation Index (EVI). This suggests that methods using NDVI or EVI to predict small-scale variability in (evapo)transpiration should be carefully applied, and that NDVI and EVI cannot be used to scale sap velocity to stand-level transpiration in temperate forest ecosystems.</p>https://www.hydrol-earth-syst-sci.net/23/2077/2019/hess-23-2077-2019.pdf
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language English
format Article
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author A. J. Hoek van Dijke
A. J. Hoek van Dijke
A. J. Hoek van Dijke
K. Mallick
A. J. Teuling
M. Schlerf
M. Machwitz
S. K. Hassler
T. Blume
M. Herold
spellingShingle A. J. Hoek van Dijke
A. J. Hoek van Dijke
A. J. Hoek van Dijke
K. Mallick
A. J. Teuling
M. Schlerf
M. Machwitz
S. K. Hassler
T. Blume
M. Herold
Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
Hydrology and Earth System Sciences
author_facet A. J. Hoek van Dijke
A. J. Hoek van Dijke
A. J. Hoek van Dijke
K. Mallick
A. J. Teuling
M. Schlerf
M. Machwitz
S. K. Hassler
T. Blume
M. Herold
author_sort A. J. Hoek van Dijke
title Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
title_short Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
title_full Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
title_fullStr Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
title_full_unstemmed Does the Normalized Difference Vegetation Index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
title_sort does the normalized difference vegetation index explain spatial and temporal variability in sap velocity in temperate forest ecosystems?
publisher Copernicus Publications
series Hydrology and Earth System Sciences
issn 1027-5606
1607-7938
publishDate 2019-04-01
description <p>Understanding the link between vegetation characteristics and tree transpiration is a critical need to facilitate satellite-based transpiration estimation. Many studies use the Normalized Difference Vegetation Index (NDVI), a proxy for tree biophysical characteristics, to estimate evapotranspiration. In this study, we investigated the link between sap velocity and 30&thinsp;m resolution Landsat-derived NDVI for 20 days during 2 contrasting precipitation years in a temperate deciduous forest catchment. Sap velocity was measured in the Attert catchment in Luxembourg in 25 plots of <span class="inline-formula">20×20</span>&thinsp;m covering three geologies with sensors installed in two to four trees per plot. The results show that, spatially, sap velocity and NDVI were significantly positively correlated in April, i.e. NDVI successfully captured the pattern of sap velocity during the phase of green-up. After green-up, a significant negative correlation was found during half of the studied days. During a dry period, sap velocity was uncorrelated with NDVI but influenced by geology and aspect. In summary, in our study area, the correlation between sap velocity and NDVI was not constant, but varied with phenology and water availability. The same behaviour was found for the Enhanced Vegetation Index (EVI). This suggests that methods using NDVI or EVI to predict small-scale variability in (evapo)transpiration should be carefully applied, and that NDVI and EVI cannot be used to scale sap velocity to stand-level transpiration in temperate forest ecosystems.</p>
url https://www.hydrol-earth-syst-sci.net/23/2077/2019/hess-23-2077-2019.pdf
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