Naslov
Framework for strategic wind farm site prioritisation based on modelled wolf reproduction habitat in Croatia

Autori
Passoni, Gioele ; Rowcliffe, J. Marcus ; Whiteman, Ari ; Huber, Djuro ; Kusak, Josip

Izvornik
European Journal of Wildlife Research (1612-4642) 63 (2017), 2; 1-16

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Canis lupus ; Wind farms ; Habitat suitability modelling ; Spatial planning ; Croatia

Sažetak
In order to meet carbon reduction targets, many nations are greatly expanding their wind power capacity. However, wind farm infrastructure potentially harms wildlife, and we must therefore find ways to balance clean energy demands with the need to protect wildlife. Wide- ranging carnivores live at low density and are particularly susceptible to disturbance from infrastructure develop- ment, so are a particular concern in this respect. We fo- cused on Croatia, which holds an important population of wolves and is currently planning to construct many new wind farms. Specifically, we sought to identify an optimal subset of planned wind farms that would meet energy targets while minimising potential impact on wolves. A suitability model for wolf breeding habitat was carried out using Maxent, based on six environmental variables and 31 reproduction site locations collected between 1997 and 2015. Wind farms were prioritised using Marxan to find the optimal trade-off between energy capacity and overlap with critical wolf reproduction habitat. The habi- tat suitability model predictions were consistent with the current knowledge: probability of wolf breeding site pres- ence increased with distance to settlements, distance to * Gioele Passoni passonigioele@live.it 1 Department of Life Sciences, Imperial College London, Buckhurst Road, Ascot, Berkshire SL5 7PY, UK 2 Institute of Zoology, Zoological Society of London, Regent’sPark, London NW1 4RY, UK 3 Faculty of VeterinaryMedicine, University of Zagreb, Heinzelova ulica 55, 10000 Zagreb, Croatia farmland and distance to roads and decreased with dis- tance to forest. Spatial optimisation showed that it would be possible to meet current energy targets with only 31% of currently proposed wind farms, selected in a way that reduces the potential ecological cost (overall predicted wolf breeding site presence within wind farm sites) by 91%. This is a highly efficient outcome, demonstrating the value of this approach for prioritising infrastructure development based on its potential impact on wide- ranging wildlife species.

Izvorni jezik
Engleski

Znanstvena područja
Biologija, Interdisciplinarne prirodne znanosti

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