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SUMMARYThis paper analyses the interdependence between environment and society in terms of socio-ecological webs, in which human and biophysical systems are linked. A quantitative model, based on canonical correlation analysis applied in Fuerteventura Island (Canary Archipelago), detected indicators of human–landscape relationships and predicted potential shifts based on simulated environmental changes. In the last few decades, the landscape of Fuerteventura Island has changed: natural components and cultural agrarian uses have decreased, while the population has increased due to immigration, mainly from mainland Spain and other European countries. The island shows a transition from a coupled local socio-ecosystem to one based on the interaction between environment and coastal tourism that decouples native inhabitants from the landscape and traditional land-use practices. As vulnerability and adaptation to climate change represent critical sets of potential interactions in Canary Islands, a model and a map of the socio-ecological system under four Intergovernmental Panel on Climate Change scenarios show rural decoupling through ‘deagrarianization’ and ‘deruralization’, as well as stronger links to the tourism system.

Protected natural areas have traditionally played an important role in tourist destinations. There are over one hundred thousand of these areas throughout the world and to date, their landscapes and biodiversity have constituted the main factor attracting visitors. Although these components have not lost their power to attract, many tourist destinations now highlight the relationship between nature and traditional culture. On one hand, the planning and management of natural areas have fundamentally been based on biophysical aspects; hence, their name. But, on the other, the socioeconomic perspective is of great importance and should be incorporated further into this management. The professional field of the sciences of 'nature', which so far has played a major role in these areas, along with the disciplines of social sciences and humanities, faces the challenge of integrating their analysis methods, which can be directly applied to an understanding of the dynamics of present-day tourism. This integration could consider protected areas and territories beyond their physical boundaries. Our team, with experience in the development of environmental analysis models applied to the zoning and subsequent declaration of these areas, has proposed a new procedure for evaluating carrying capacities and tourism potentialities, integrating environmental (landscape), anthropological (local society and visitors) and socioeconomic (living standard and quality of life of local population) perspectives. The research relates this kind of components through multivariate analyses, geo-referenced databases and questionnaires. The pathway

Roads are human infrastructure that heavily affect wildlife, often with marked impacts on carnivores, including brown bears Ursus arctos. Here, we assessed the potential impact of road networks on the distribution of brown bears in the small, isolated and endangered Cantabrian population of north‐western Spain. To ascertain whether local road networks affect brown bear spatial distribution, we first assessed potential influences on the distance of bear locations to roads using candidate models which included topographic variables, landcover types, bear age and reproductive status, traffic volume and road visibility. Then, we built two sets of habitat suitability models, both with and without roads, to discern the possible loss of habitat suitability caused by roads. The mean distance of bear locations to the nearest road was 968 ± 804 m and the closest road was a low traffic road in 72.5% of cases. Candidate models showed little influence of our variables on bear distance to the nearest road, with the exception of elevation. Habitat suitability models revealed that road networks in our study area seem to have almost no effect on brown bear habitat suitability, except for females with yearlings during the denning season. However, this result may also be a consequence of the fact that only a small proportion (16.5%) of the cells classified as suitable bear habitats were crossed by roads, that is, most of the roads are primarily located in unsuitable bear habitats in the Cantabrian Mountains. Compared to previous studies conducted in other populations, mainly North American ones, our findings might suggest a different response of Eurasian brown bears to roads due to a longer bear‐human coexistence in Europe versus North America. However, the indirect approach used in our study does not exclude other detrimental effects, for example, road mortality, increased stress and movement pattern disruption, only detectable by more direct approaches such as telemetry.