Modelling of the carbon sequestration and its prediction under climate change

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F18%3A00485390" target="_blank" >RIV/86652079:_____/18:00485390 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/61989592:15310/18:73587788

Výsledek na webu

<a href="http://dx.doi.org/10.1016/j.ecoinf.2017.08.006" target="_blank" >http://dx.doi.org/10.1016/j.ecoinf.2017.08.006</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1016/j.ecoinf.2017.08.006" target="_blank" >10.1016/j.ecoinf.2017.08.006</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Modelling of the carbon sequestration and its prediction under climate change

Popis výsledku v původním jazyce

The aim of the presented study is to quantify the total carbon stock of habitats in addition the estimation of aboveground and belowground biomass, necromass, and soil organic carbon. Prediction of carbon storage under climate change is based on future land-use changes, identification of new land-use distribution, and evaluation of changes in human impacts on biomass production and carbon storage. Widely used InVEST model was applied to determine the existing carbon stocks and the amount of carbon captured over time. Changes in the carbon storage were calculated from aboveground biomass, belowground biomass, necromass, and soil organic carbon pools. The original model was modified to vector space to better identify land heterogeneity. The values of the four carbon pools for individual land-use categories were derived from literature and experimental investigation. Land Change Modeller was then used to model future land use by applying business-as-usual scenario on data derived from 1990, 2000, 2006, and 2012 Corine Land Cover data. In this contribution, land cover predictions are calculated using three CORDEX climate models and two emission scenarios (RCP 4.5 and RCP 8.5). Results describe current carbon stock by basic carbon pools and prediction of the total amount of carbon stored in four reservoirs in three time period. Results show that the difference in predictions between specific scenarios in each period is increasing and in all predictions, roughly the same proportional carbon ratio is maintained between the individual stocks.

Název v anglickém jazyce

Modelling of the carbon sequestration and its prediction under climate change

Popis výsledku anglicky

The aim of the presented study is to quantify the total carbon stock of habitats in addition the estimation of aboveground and belowground biomass, necromass, and soil organic carbon. Prediction of carbon storage under climate change is based on future land-use changes, identification of new land-use distribution, and evaluation of changes in human impacts on biomass production and carbon storage. Widely used InVEST model was applied to determine the existing carbon stocks and the amount of carbon captured over time. Changes in the carbon storage were calculated from aboveground biomass, belowground biomass, necromass, and soil organic carbon pools. The original model was modified to vector space to better identify land heterogeneity. The values of the four carbon pools for individual land-use categories were derived from literature and experimental investigation. Land Change Modeller was then used to model future land use by applying business-as-usual scenario on data derived from 1990, 2000, 2006, and 2012 Corine Land Cover data. In this contribution, land cover predictions are calculated using three CORDEX climate models and two emission scenarios (RCP 4.5 and RCP 8.5). Results describe current carbon stock by basic carbon pools and prediction of the total amount of carbon stored in four reservoirs in three time period. Results show that the difference in predictions between specific scenarios in each period is increasing and in all predictions, roughly the same proportional carbon ratio is maintained between the individual stocks.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

10511 - Environmental sciences (social aspects to be 5.7)

Projekt

<a href="/cs/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 - Rozvoj Centra pro studium dopadů globální změny klimatu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2018

Kód důvěrnosti údajů

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

Název periodika

Ecological Informatics

ISSN

1574-9541

e-ISSN

—

Svazek periodika

47

Číslo periodika v rámci svazku

SI

Stát vydavatele periodika

NL - Nizozemsko

Počet stran výsledku

5

Strana od-do

50-54

Kód UT WoS článku

000445981800010

EID výsledku v databázi Scopus

2-s2.0-85028733933