Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices

The broad-band normalised difference vegetation index (NDVI) and the simple ratio (SR) were calculated from measurements of reflectance of photosynthetically active and short-wave radiation at two temperate mountain grasslands in Austria and related to the net ecosystem CO<sub>2&lt...

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Main Authors: G. Wohlfahrt, S. Pilloni, L. Hörtnagl, A. Hammerle
Format: Article
Language:English
Published: Copernicus Publications 2010-02-01
Series:Biogeosciences
Online Access:http://www.biogeosciences.net/7/683/2010/bg-7-683-2010.pdf
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spelling doaj-0cdc6d1bab6c4ff2804b2a79831bd7f92020-11-24T21:11:26ZengCopernicus PublicationsBiogeosciences1726-41701726-41892010-02-0172683694Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indicesG. WohlfahrtS. PilloniL. HörtnaglA. HammerleThe broad-band normalised difference vegetation index (NDVI) and the simple ratio (SR) were calculated from measurements of reflectance of photosynthetically active and short-wave radiation at two temperate mountain grasslands in Austria and related to the net ecosystem CO<sub>2</sub> exchange (NEE) measured concurrently by means of the eddy covariance method. There was no significant statistical difference between the relationships of midday mean NEE with narrow- and broad-band NDVI and SR, measured during and calculated for that same time window, respectively. The skill of broad-band NDVI and SR in predicting CO<sub>2</sub> fluxes was higher for metrics dominated by gross photosynthesis and lowest for ecosystem respiration, with NEE in between. A method based on a simple light response model whose parameters were parameterised based on broad-band NDVI allowed to improve predictions of daily NEE and is suggested to hold promise for filling gaps in the NEE time series. Relationships of CO<sub>2</sub> flux metrics with broad-band NDVI and SR however generally differed between the two studied grassland sites indicting an influence of additional factors not yet accounted for. http://www.biogeosciences.net/7/683/2010/bg-7-683-2010.pdf
collection DOAJ
language English
format Article
sources DOAJ
author G. Wohlfahrt
S. Pilloni
L. Hörtnagl
A. Hammerle
spellingShingle G. Wohlfahrt
S. Pilloni
L. Hörtnagl
A. Hammerle
Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices
Biogeosciences
author_facet G. Wohlfahrt
S. Pilloni
L. Hörtnagl
A. Hammerle
author_sort G. Wohlfahrt
title Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices
title_short Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices
title_full Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices
title_fullStr Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices
title_full_unstemmed Estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices
title_sort estimating carbon dioxide fluxes from temperate mountain grasslands using broad-band vegetation indices
publisher Copernicus Publications
series Biogeosciences
issn 1726-4170
1726-4189
publishDate 2010-02-01
description The broad-band normalised difference vegetation index (NDVI) and the simple ratio (SR) were calculated from measurements of reflectance of photosynthetically active and short-wave radiation at two temperate mountain grasslands in Austria and related to the net ecosystem CO<sub>2</sub> exchange (NEE) measured concurrently by means of the eddy covariance method. There was no significant statistical difference between the relationships of midday mean NEE with narrow- and broad-band NDVI and SR, measured during and calculated for that same time window, respectively. The skill of broad-band NDVI and SR in predicting CO<sub>2</sub> fluxes was higher for metrics dominated by gross photosynthesis and lowest for ecosystem respiration, with NEE in between. A method based on a simple light response model whose parameters were parameterised based on broad-band NDVI allowed to improve predictions of daily NEE and is suggested to hold promise for filling gaps in the NEE time series. Relationships of CO<sub>2</sub> flux metrics with broad-band NDVI and SR however generally differed between the two studied grassland sites indicting an influence of additional factors not yet accounted for.
url http://www.biogeosciences.net/7/683/2010/bg-7-683-2010.pdf
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