Vegetation-specific model parameters are not required for estimating gross primary production

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F14%3A00229827" target="_blank" >RIV/62156489:43410/14:00229827 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/67179843:_____/14:00432456

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ecolmodel.2014.08.017" target="_blank" >http://dx.doi.org/10.1016/j.ecolmodel.2014.08.017</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecolmodel.2014.08.017" target="_blank" >10.1016/j.ecolmodel.2014.08.017</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Vegetation-specific model parameters are not required for estimating gross primary production

Popis výsledku v původním jazyce

Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameters that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 168 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performance in simulating GPP while using both set of parameters. These results indicate that a universal of set of parameters, which is indepe

Název v anglickém jazyce

Vegetation-specific model parameters are not required for estimating gross primary production

Popis výsledku anglicky

Models of gross primary production (GPP) based on remote sensing measurements are currently parameterized with vegetation-specific parameter sets and therefore require accurate information on the distribution of vegetation to drive them. Can this parameterization scheme be replaced with a vegetation-invariant set of parameters that can maintain or increase model applicability by reducing errors introduced from the uncertainty of land cover classification? Based on the measurements of ecosystem carbon fluxes from 168 globally distributed sites in a range of vegetation types, we examined the predictive capacity of seven light use efficiency (LUE) models. Two model experiments were conducted: (i) a constant set of parameters for various vegetation types and (ii) vegetation-specific parameters. The results showed no significant differences in model performance in simulating GPP while using both set of parameters. These results indicate that a universal of set of parameters, which is indepe

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

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2014

Kód důvěrnosti údajů

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

Název periodika

Ecological Modelling

ISSN

0304-3800

e-ISSN

—

Svazek periodika

292

Číslo periodika v rámci svazku

24 November 2014

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

10

Strana od-do

1-10

Kód UT WoS článku

343845400001

EID výsledku v databázi Scopus

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