Modelling of the carbon sequestration and its prediction under climate change
The result's identifiers
Result code in 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>
Alternative codes found
RIV/61989592:15310/18:73587788
Result on the web
<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>
Alternative languages
Result language
angličtina
Original language name
Modelling of the carbon sequestration and its prediction under climate change
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10511 - Environmental sciences (social aspects to be 5.7)
Result continuities
Project
<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecological Informatics
ISSN
1574-9541
e-ISSN
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Volume of the periodical
47
Issue of the periodical within the volume
SI
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
5
Pages from-to
50-54
UT code for WoS article
000445981800010
EID of the result in the Scopus database
2-s2.0-85028733933