Reply: Modeling scenarios of population response to roads as a conservation risk assessment strategy.

Wildlife is under increasing pressure from environmental change, including habitat loss and fragmentation with increasing additional non-natural mortality due to roads. To understand the effects of roads on wildlife populations, and identify critical areas to prioritize actions, transportation and conservation managers and policymakers need to know how species respond towards roads. For decades predicting the effects of roads on wildlife populations has remained a challenge for conservation biologists due to the complexity of species data and the analysis of species-road interactions. We see an urgent need to move beyond the quantification of road-kills and evaluate the population-level consequences using advanced modeling approaches to address species vulnerability to road systems and where population viability risks are highest. We suggest using a high level assessment and macroecological approach as …

Data and Resources

Cite as

Grilo C. Pinto F. Andrášik R. Pereira H.M. y Clevenger A. P. Reply: Modeling scenarios of population response to roads as a conservation risk assessment strategy. Elsevier, 2019. https://doi.org/10.1016/j.biocon.2018.12.025

Clipboard Icon
Retrieved: 23 Jan 2025 11:27:52

Metadata

Basic information
Resource type Text
Date of creation 2024-12-02
Date of last revision 2025-01-23
Show changelog
Metadata identifier 5baadfd6-4e4d-5b5d-b0a6-4382bb6d83d8
Metadata language Spanish
Themes (NTI-RISP)
High-value dataset category
ISO 19115 topic category
Keyword URIs
Bibliographic information
Name of the dataset creator Grilo, C., Pinto, F., Andrášik, R., Pereira, H.M. y Clevenger, A. P.
Name of the dataset editor Elsevier
Other identifier DOI: 10.1016/j.biocon.2018.12.025
Identifier of the dataset creator
Email of the dataset creator
Website of the dataset creator
Provenance
Lineage statement
Metadata Standard
Version notes
Version