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Disentangling the effects of land‐use change, climate and CO 2 on projected future E uropean habitat types
Author(s) -
Lehsten Veiko,
Sykes Martin T.,
Scott Anna Victoria,
Tzanopoulos Joseph,
Kallimanis Athanasios,
Mazaris Antonios,
Verburg Peter H.,
Schulp Catharina J. E.,
Potts Simon G.,
Vogiatzakis Ioannis
Publication year - 2015
Publication title -
global ecology and biogeography
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.164
H-Index - 152
eISSN - 1466-8238
pISSN - 1466-822X
DOI - 10.1111/geb.12291
Subject(s) - reforestation , habitat , climate change , land cover , land use , mediterranean climate , grassland , vegetation (pathology) , environmental science , land use, land use change and forestry , ecology , afforestation , geography , agroforestry , forestry , biology , medicine , pathology
Aim To project the potential E uropean distribution of seven broad habitat categories (needle‐leaved, broad‐leaved, mixed and mediterranean forest, urban, grassland and cropland) in order to assess effects of land use, climate change and increase in CO 2 on predicted habitat changes up to the year 2050. Location E urope. Method We modelled the response of European vegetation to changes in land use, climate and CO 2 by combining the land‐use model D yna‐ CLUE (based on the CORINE land‐cover data) and the dynamic vegetation model LPJ‐GUESS . Two reforestation options were explored: maintaining the current range of tree species ( EFI ) or promoting naturally occurring tree species ( NAT ). Climate data from two general circulation models and two SRES scenarios ( A2 and B1 ) were used. The broad habitat types were classified according to a combination of land use and the dominant plant species. Results Our models predicted that croplands and grasslands are expected to decrease due to land‐use change. Although climate change has a negative effect on needle‐leaved forest, it is expected to maintain its area or even increase in the EFI reforestation option while mediterranean, broad‐leaved and mixed forests are expected to increase markedly. All investigated drivers have shown some effect, but land use is the dominant contributor to broad habitat change except for needle‐leaved and mixed which are mainly influenced by climate change. Main conclusions Land use is predicted to have the greatest effect on broad habitat distribution according to our simulations. Hence in most parts of E urope mitigating actions should focus on land‐use change rather than climate change. According to our simulation, the effects of the different drivers are not in general additive. In some cases they act synergistically and in some cases antagonistically. The projected habitat changes are a valuable tool for species distribution modelling and are available online.