Are vegetation-specific model parameters required for estimating gross primary production?

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62156489%3A43410%2F13%3A00209753" target="_blank" >RIV/62156489:43410/13:00209753 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.5194/gmdd-6-5475-2013" target="_blank" >http://dx.doi.org/10.5194/gmdd-6-5475-2013</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/gmdd-6-5475-2013" target="_blank" >10.5194/gmdd-6-5475-2013</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Are vegetation-specific model parameters required for estimating gross primary production?

Popis výsledku v původním jazyce

Models of gross primary production (GPP) 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 parameter 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 150 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 performances to simulate GPP while using both sets of parameters. These results indicate that a universal set of parameters, which is independent of vegetation cover type and charac

Název v anglickém jazyce

Are vegetation-specific model parameters required for estimating gross primary production?

Popis výsledku anglicky

Models of gross primary production (GPP) 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 parameter 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 150 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 performances to simulate GPP while using both sets of parameters. These results indicate that a universal set of parameters, which is independent of vegetation cover type and charac

Druh

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

CEP obor

GK - Lesnictví

OECD FORD obor

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Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2013

Kód důvěrnosti údajů

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

Název periodika

Geoscientific Model Development Discussion

ISSN

1991-9611

e-ISSN

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Svazek periodika

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Číslo periodika v rámci svazku

6

Stát vydavatele periodika

DE - Spolková republika Německo

Počet stran výsledku

14

Strana od-do

5475-5488

Kód UT WoS článku

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EID výsledku v databázi Scopus

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