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Understanding Roadkill Hotspots: Insights from Comprehensive Wildlife Roadkill ...

Mira, António; Garcia, Graça; Pedroso, Nuno; Manghi, Giovanni; Salgueiro, Pedro; Santos, Sara

Wildlife roadkill databases often compile valuable information regarding species, timing, and locations of roadkill incidents, with some databases also including details such as gender and age classes. As part of the “LIFE LINES - Linear Infrastructure Networks with Ecological Solutions” project, we aggregated roadkill data from various sources, including road operators, traffic police, and academic institution...


Integrating remote sensing data on habitat suitability and functional connectiv...

Valerio, Francesco; Godinho, Sergio; Salgueiro, Pedro; Medinas, Denis; Manghi, Giovanni; Mira, António; Pedroso, Nuno; Ferreira, Eduardo; Craveiro, João

Context Road impacts on biodiversity are increasing worldwide. Few attempts have been made to integrate multiple taxonomic groups into roadkill mitigation plans, while using remotely sensed habitat suitability and functional connectivity. Objectives We pinpoint high-risk road locations (road planning units) for 19 woodland species from different taxonomic groups (non-flying mammals, birds, and bats) to enhance ...


Thinking outside the patch: a multi-species comparison of conceptual models fro...

Salgueiro, Pedro; Mira, António; Rabaça, João Eduardo; Silva, Carmo; Eufrázio, Sofia; Medinas, Denis; Manghi, Giovanni; Silva, Bruno; Santos, Sara M.

Context: When modeling a species’ distribution, landscapes can alternatively be conceptualized following patch- or gradient-based approaches. However, choosing the most suitable conceptualization is difficult and methods for empirical validation are still lacking. Objectives: To address the conditions under which a given conceptual model is more suitable, taking into account landscape context and species trait ...


Thinking outside the patch: a multi-species comparison of conceptual models fro...

Salgueiro, Pedro A.; Mira, António; Rabaça, João E.; Silva, Carmo; Eufrázio, Sofia; Manghi, Giovanni; Silva, Bruno; Santos, Sara M.

Abstract Context When modeling a species’ distribution, landscapes can alternatively be conceptualized following patch- or gradient-based approaches. However, choosing the most suitable conceptualization is difficult and methods for empirical validation are still lacking. Objectives To address the conditions under which a given conceptual model is more suitable, taking into account landscape context and species...


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