Monitoring of carbon dioxide fluxes in a subalpine grassland ecosystem of the Italian Alps using a multispectral sensor

Kód výsledku v IS VaVaI

RIV/67179843:_____/14:00431488 - isvavai.cz

Výsledek na webu

http://dx.doi.org/10.5194/bgd-11-4729-2014

DOI - Digital Object Identifier

10.5194/bgd-11-4729-2014

Jazyk výsledku

angličtina

Název v původním jazyce

Monitoring of carbon dioxide fluxes in a subalpine grassland ecosystem of the Italian Alps using a multispectral sensor

Popis výsledku v původním jazyce

The study investigates the potential of a multispectral sensor for monitoring mean midday gross ecosystem production (GEPm) in a dynamic subalpine grassland ecosystem of the Italian Alps equipped with an eddy covariance flux tower. Reflectance observations were collected for five consecutive years by means of a multispectral radiometer system. Spectral vegetation indices were calculated from reflectance measurements at particular wavelengths. Different models based on linear regression and on multiple regression were developed to estimate GEPm. Chlorophyll-related indices including red-edge part of the spectrum in their formulation were the best predictors of GEPm, explaining most of its variability during the five consecutive years of observations characterized by different climatic conditions. Integrating mean midday photosynthetically active radiation into the model resulted in a general decrease in the accuracy of estimates. Also, the use of the reflectance approach instead of the

Název v anglickém jazyce

Monitoring of carbon dioxide fluxes in a subalpine grassland ecosystem of the Italian Alps using a multispectral sensor

Popis výsledku anglicky

The study investigates the potential of a multispectral sensor for monitoring mean midday gross ecosystem production (GEPm) in a dynamic subalpine grassland ecosystem of the Italian Alps equipped with an eddy covariance flux tower. Reflectance observations were collected for five consecutive years by means of a multispectral radiometer system. Spectral vegetation indices were calculated from reflectance measurements at particular wavelengths. Different models based on linear regression and on multiple regression were developed to estimate GEPm. Chlorophyll-related indices including red-edge part of the spectrum in their formulation were the best predictors of GEPm, explaining most of its variability during the five consecutive years of observations characterized by different climatic conditions. Integrating mean midday photosynthetically active radiation into the model resulted in a general decrease in the accuracy of estimates. Also, the use of the reflectance approach instead of the

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

EH - Ekologie – společenstva

OECD FORD obor

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Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2014

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Biogeosciences

ISSN

1726-4170

e-ISSN

—

Svazek periodika

11

Číslo periodika v rámci svazku

17

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

18

Strana od-do

4729-4769

Kód UT WoS článku

000342116000010

EID výsledku v databázi Scopus

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