Evidence map›Paper›PMID 37294316›Full record

ArticleEnvironmental management2024

Identifying Roadkill Hotspots for Mammals in the Brazilian Atlantic Forest using a Functional Group Approach.

Helio Secco, Luis Felipe Farina, Vitor Oliveira da Costa, Wallace Beiroz, Marcello Guerreiro, Pablo Rodrigues Gonçalves

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Article in Environmental management, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Helio SeccoUniversidade Federal do Rio de Janeiro, Macaé, Brazil. hkcsecco@gmail.com.
Luis Felipe FarinaUniversidade Federal Rural do Rio de Janeiro, Seropédica, Brazil.
Vitor Oliveira da CostaUniversidade Federal do Rio de Janeiro, Macaé, Brazil.
Wallace BeirozUniversidade Federal do Sul e Sudeste do Pará, São Félix do Xingu, Brazil.
Marcello GuerreiroArteris Fluminense, Niterói, Brazil.
Pablo Rodrigues GonçalvesUniversidade Federal do Rio de Janeiro, Macaé, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A critical step to design wildlife mitigating measures is the identification of roadkill hotspots. However, the effectiveness of mitigations based on roadkill hotspots depends on whether spatial aggregations are recurrent over time, spatially restricted, and most importantly, shared by species with diverse ecological and functional characteristics. We used a functional group approach to map roadkill hotspots for mammalian species along the BR-101/North RJ, a major road crossing important remnants of the Brazilian Atlantic Forest. We tested if functional groups present distinct hotspot patterns, and if they converge into the same road sectors, in that case, favoring optimal mitigating actions. Roadkill rates were monitored and recorded between October/2014 and September/2018 and species were classified into six functional groups based on their home range, body size, locomotion mode, diet, and forest-dependency. Hotspots along the roads were mapped for comparison of spatial patterns between functional groups. Results demonstrated that the roadkill index varied idiosyncratically for each functional group throughout the months and that no group presented seasonality. Seven hotspots were shared by two or more functional groups, highlighting the importance of these road stretches to regional mammal fauna. Two of the stretches are associated with aquatic areas extending from one side of the road to the other, and the remaining are connected to patches of native vegetation on both sides. This work brings a promising approach, yet hardly used in ecological studies on roads to analyze roadkill dynamics, assigning more importance to ecological instead of taxonomical characteristics, normally used to identify spatiotemporal patterns.

Indexed as

Animals, WildMammalsAnimalsBrazilForestsFunctional ecologyHotspotsRoad ecologyWildlife-vehicle collisions

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.