Assessing Habitat Vulnerability and Loss of Naturalness: Applying the GLOBIO3 Model in the Czech Republic

Vilém Pechanec, Ondřej Cudlín, Miloš Zapletal, Jan Purkyt, Lenka Štěrbová, Karel Chobot, Elvis Tangwa, Renata Včeláková, Marcela Prokopová and Pavel Cudlín
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Vilém Pechanec: Department of Geoinformatics, Faculty of Science, Palacký University in Olomouc, 17. listopadu 50, CZ-771 46 Olomouc, Czech Republic
Ondřej Cudlín: Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-370 05 České Budějovice, Czech Republic
Miloš Zapletal: Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-370 05 České Budějovice, Czech Republic
Jan Purkyt: Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-370 05 České Budějovice, Czech Republic
Lenka Štěrbová: Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-370 05 České Budějovice, Czech Republic
Karel Chobot: Nature Conservation Agency, Kaplanova 1, CZ-148 00 Praha, Czech Republic
Elvis Tangwa: Department of Geoinformatics, Faculty of Science, Palacký University in Olomouc, 17. listopadu 50, CZ-771 46 Olomouc, Czech Republic
Renata Včeláková: Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-370 05 České Budějovice, Czech Republic
Marcela Prokopová: Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-370 05 České Budějovice, Czech Republic
Pavel Cudlín: Global Change Research Institute of the Czech Academy of Sciences, Lipová 9, CZ-370 05 České Budějovice, Czech Republic

Sustainability, 2021, vol. 13, issue 10, 1-18

Abstract: Global and regional biodiversity loss is caused by several drivers including urban development, land use intensification, overexploitation of natural resources, environmental pollution, and climate change. The main aim of our study was to adapt the GLOBIO3 model to the conditions of the Czech Republic (CR) to assess loss of naturalness and biodiversity vulnerability at the habitat level on a detailed scale across the entire CR. An additional aim was to assess the main drivers affecting the biodiversity of habitat types. The GLOBIO3 model was adapted to CZ-GLOBIO by adapting global to local scales and using habitat quality and naturalness data instead of species occurrence data. The total mean species abundance (MSA) index of habitat quality, calculated from the spatial overlay of the four MSA indicators by our new equation, reached the value 0.62. The total value of MSA for natural and near-natural habitats was found to be affected mainly by infrastructure development and fragmentation. Simultaneously, intensity of land use change and atmospheric nitrogen deposition contributed primarily to the low total value of MSA for distant natural habitats. The CZ-GLOBIO model can be an important tool in political decision making to reduce the impact of the main drivers on habitat biodiversity in the CR.

Keywords: biodiversity; detailed scale; naturalness of habitats; the GLOBIO model (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2021
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