Ecological corridors and landscape planning: a model to select priority areas for connectivity maintenance

• Published in: Landscape ecology 2021-11, Vol.36 (11), p.3311-3328
• Main Authors: Salviano, Isadora Rebelo, Gardon, Fernando Ravanini, dos Santos, Rozely Ferreira
• Format: Article
• Language: English
• Subjects: Biomedical and Life Sciences; Corridors; Decision making; Design; Ecological effects; Ecology; Ecosystems; Environmental Management; Forests; Habitat loss; Land use; Landscape; Landscape architecture; Landscape Ecology; Landscape/Regional and Urban Planning; Life Sciences; Nature Conservation; Planning; Research Article; Riparian forests; Sustainable Development
• ISSN: 0921-2973; 1572-9761
• DOI: 10.1007/s10980-021-01305-8

Context Maintaining connectivity in landscapes where natural ecosystems are quickly replaced by human land-uses is a challenge. To reduce the effects of habitat loss, ecological corridors have been proposed as a relevant tool for landscape planning. Objective We aimed to develop a spatial model to identify and prioritize riparian corridors to improve landscape connectivity. Methods The model considers the effect of the land-use/cover types and remaining forests on the movement capacity of a focal species sensitive to fragmentation. Since landscape elements act as barriers or promoters to ecological fluxes, suitability values were set according to the element’s ability in providing habitat. The model recognizes the effect of the contact between associated elements along the riparian corridor’s width and length and corrects their suitability. These procedures enabled the calculation of the Utility Factor, resulting in a measure of the quality of the corridor. Results The results show that the model assists the identification of the riparian corridor’s sections where connectivity is hampered and management efforts are required to maintain landscape connectivity. In addition, it can be applied to select the corridors dominated by large forests, which could be designed for conservation purposes. The two study cases evidence that the model is flexible, adjustable to distinct landscapes, and the decision-maker’s objectives. Conclusions We concluded that the proposed strategy helps decision-makers to prioritize the territories for managing or preserving connectivity. Finally, the method provides quantitative information that would not be perceived by just interpreting land-use/cover maps.