Prediction of landuse development under influence of climate change.
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F18%3A73589874" target="_blank" >RIV/61989592:15310/18:73589874 - isvavai.cz</a>
Nalezeny alternativní kódy
RIV/61989592:15310/17:73581120
Výsledek na webu
<a href="http://dx.doi.org/10.1007/978-3-319-61297-3_25" target="_blank" >http://dx.doi.org/10.1007/978-3-319-61297-3_25</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-61297-3_25" target="_blank" >10.1007/978-3-319-61297-3_25</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Prediction of landuse development under influence of climate change.
Popis výsledku v původním jazyce
Land-use change is considered as one of the most critical processes when attempting to understand and model global change. Climatic change in the Czech Republic incurs a substantial pressure on human society and natural ecosystems through the increase of temperature and higher occurrence of droughts and floods. The principal purpose of the study was to model and assess the future land-use distribution in the Czech Republic based on historical land-use data and climate change information. For assessment of future ecosystem services, the current rate of ecosystem service fulfillment is set and compared in time and space with modeled situations according to two weather scenarios. TerrSet’s Land Change Modeller was used as a tool to create the models based on principles of historical trends and predict the future land coverage for each category and location. The outputs of the land-use prediction modeling were maps that reflected business as usual scenario. After creating the models, a spatio-temporal analysis was performed to determine the difference in representation of each land cover category for a period 2012-2050. The land use prediction is demonstrated for the entire Czech Republic using HadGEM2-ES climate model with RCP 4.5 and RCP 8.5 emission scenarios. The results show that most severe and substantial change in the land cover appears in considerable loss of agricultural sites mainly caused by urbanization. Planners and policymakers should incorporate adaptation measures including the change of land use to more natural habitats and more ecological management of agricultural and forest soils to mitigate the adverse effect of urbanization and climate change. The contribution of the study is in presenting selected tools for modeling expected future land use and development of maps displaying future spatial distribution and quantification of particular land use categories for the Czech Republic
Název v anglickém jazyce
Prediction of landuse development under influence of climate change.
Popis výsledku anglicky
Land-use change is considered as one of the most critical processes when attempting to understand and model global change. Climatic change in the Czech Republic incurs a substantial pressure on human society and natural ecosystems through the increase of temperature and higher occurrence of droughts and floods. The principal purpose of the study was to model and assess the future land-use distribution in the Czech Republic based on historical land-use data and climate change information. For assessment of future ecosystem services, the current rate of ecosystem service fulfillment is set and compared in time and space with modeled situations according to two weather scenarios. TerrSet’s Land Change Modeller was used as a tool to create the models based on principles of historical trends and predict the future land coverage for each category and location. The outputs of the land-use prediction modeling were maps that reflected business as usual scenario. After creating the models, a spatio-temporal analysis was performed to determine the difference in representation of each land cover category for a period 2012-2050. The land use prediction is demonstrated for the entire Czech Republic using HadGEM2-ES climate model with RCP 4.5 and RCP 8.5 emission scenarios. The results show that most severe and substantial change in the land cover appears in considerable loss of agricultural sites mainly caused by urbanization. Planners and policymakers should incorporate adaptation measures including the change of land use to more natural habitats and more ecological management of agricultural and forest soils to mitigate the adverse effect of urbanization and climate change. The contribution of the study is in presenting selected tools for modeling expected future land use and development of maps displaying future spatial distribution and quantification of particular land use categories for the Czech Republic
Klasifikace
Druh
C - Kapitola v odborné knize
CEP obor
—
OECD FORD obor
10511 - Environmental sciences (social aspects to be 5.7)
Návaznosti výsledku
Projekt
—
Návaznosti
V - Vyzkumna aktivita podporovana z jinych verejnych zdroju
Ostatní
Rok uplatnění
2018
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název knihy nebo sborníku
Dynamics in GIscience
ISBN
978-3-319-61296-6
Počet stran výsledku
11
Strana od-do
347-357
Počet stran knihy
424
Název nakladatele
Springer International Publishnih AG
Místo vydání
Cham
Kód UT WoS kapitoly
—