Views provided by UsageCounts
handle: 10261/38489
Some highways were built in the Basque country before environmental impact assessment processes required the implementation of wildlife crossing structures. Some highway sectors were selected because they intersected with sites of high landscape connectivity between protected natural areas. These were identified using a Geographic Information System-based connectivity model that represented the spatial ecology of large and medium-sized mammal species. Permeability of road sectors was analysed by calculating the density of crossing structures considered adequate for target species and comparing it with the recommended density in technical prescriptions for new highways. Additionally, factors that could limit movement across these structures were also analysed, such as the shortage of forest cover in the surroundings or the presence of obstacles. An approximation of permeability deficits has been obtained, and a set of corrective measures that must be implemented into landscape defragmentation frameworks has been identified.
This research was supported by: ‘Red de corredores ecolo´ gicos de la CAPV’ project from the Environment and Regional Planning Department of the Basque Government commissioned to IKT, S.A.; ‘Sistema´ tica, biogeografı´ a y dina´ mica de poblaciones’ Research Group (IT317-10) from the Department of Education, Universities and Research of the Basque Government; UE07/02 project from the University of Basque Country and IKT, S.A.; and ‘Eko-lurraldea’ project from Basque Government.
22 páginas, 10 figuras, 6 tablas.
Peer reviewed
Highways, Basque Country, Defragmentation measures, GIS, Landscape connectivity
Highways, Basque Country, Defragmentation measures, GIS, Landscape connectivity
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 12 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 42 |

Views provided by UsageCounts