Prediction of landuse development under influence of climate change.

Result code in 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>

Alternative codes found

RIV/61989592:15310/17:73581120

Result on the web

<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>

Result language

angličtina

Original language name

Prediction of landuse development under influence of climate change.

Original language description

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

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10511 - Environmental sciences (social aspects to be 5.7)

Project

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Continuities

V - Vyzkumna aktivita podporovana z jinych verejnych zdroju

Publication year

2018

Confidentiality

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

Book/collection name

Dynamics in GIscience

ISBN

978-3-319-61296-6

Number of pages of the result

11

Pages from-to

347-357

Number of pages of the book

424

Publisher name

Springer International Publishnih AG

Place of publication

Cham

UT code for WoS chapter

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