Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41330%2F22%3A91484" target="_blank" >RIV/60460709:41330/22:91484 - isvavai.cz</a>

Výsledek na webu

<a href="https://gmd.copernicus.org/articles/15/6957/2022/" target="_blank" >https://gmd.copernicus.org/articles/15/6957/2022/</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.5194/gmd-15-6957-2022" target="_blank" >10.5194/gmd-15-6957-2022</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest

Popis výsledku v původním jazyce

Temperate forest ecosystems play a crucial role in governing global carbon and water cycles. However, unprecedented global warming presents fundamental alterations to the ecological functions (e.g., carbon uptake) and biophysical variables (e.g., leaf area index) of forests. The quantification of forest carbon uptake, gross primary productivity (GPP), as the largest carbon flux has a direct consequence on carbon budget estimations. Part of this assimilated carbon stored in leaf biomass is related to the leaf area index (LAI), which is closely linked to and is of critical significance in the water cycle. There already exist a number of models to simulate dynamics of LAI and GPPů however, the level of complexity, demanding data, and poorly known parameters often prohibit the model applicability over datasparse and large domains. In addition, the complex mechanisms associated with coupling the terrestrial carbon and water cycles poses a major challenge for integrated assessments of interl

Název v anglickém jazyce

Developing a parsimonious canopy model (PCM v1.0) to predict forest gross primary productivity and leaf area index of deciduous broad-leaved forest

Popis výsledku anglicky

Temperate forest ecosystems play a crucial role in governing global carbon and water cycles. However, unprecedented global warming presents fundamental alterations to the ecological functions (e.g., carbon uptake) and biophysical variables (e.g., leaf area index) of forests. The quantification of forest carbon uptake, gross primary productivity (GPP), as the largest carbon flux has a direct consequence on carbon budget estimations. Part of this assimilated carbon stored in leaf biomass is related to the leaf area index (LAI), which is closely linked to and is of critical significance in the water cycle. There already exist a number of models to simulate dynamics of LAI and GPPů however, the level of complexity, demanding data, and poorly known parameters often prohibit the model applicability over datasparse and large domains. In addition, the complex mechanisms associated with coupling the terrestrial carbon and water cycles poses a major challenge for integrated assessments of interl

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10505 - Geology

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

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

Název periodika

Geoscientific Model Development

ISSN

1991-959X

e-ISSN

1991-9603

Svazek periodika

15

Číslo periodika v rámci svazku

18

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

28

Strana od-do

1-28

Kód UT WoS článku

000854101000001

EID výsledku v databázi Scopus

2-s2.0-85140603851