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Please use this identifier to cite or link to this item:
http://hdl.handle.net/10174/34959
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Title: | Integrating remote sensing data on habitat suitability and functional connectivity to inform multitaxa roadkill mitigation plans |
Authors: | Valerio, Francesco Godinho, Sergio Salgueiro, Pedro Medinas, Denis Manghi, Giovanni Mira, António Pedroso, Nuno Ferreira, Eduardo Craveiro, João Costa, Pedro Santos, Sara |
Issue Date: | 6-Jan-2023 |
Publisher: | Springer |
Citation: | • Valerio, F., Godinho, S., Salgueiro, P., Medinas, D., Manghi, G., Mira, A., Pedroso, N.M., Ferreira, E.M., Craveiro, J., Costa, P., Santos, S.M. Integrating remote sensing data on habitat suitability and functional connectivity to inform multitaxa roadkill mitigation plans. Landscape Ecology (2023); |
Abstract: | 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 prioritisation and versatil-
ity of roadkill mitigation plans.Methods In Southern Portugal, we collected species
occurrence data, roadkill, and high-resolution satel-
lite imageries, along 15 years. We identified remotely
sensed habitat metrics, in turn weighted together with
functional connectivity models and road metrics to
estimate roadkill vulnerability, using random forests.
The roadkill cumulative risk across species is then
estimated, as well the likelihood variation within
and between taxonomic groups to verify prediction
consistency.
Results Remote sensing information thoroughly
explained habitat suitability, identifying similar met-
rics within each group, and non-uniform environ-
mental tolerance across species. Functional connec-
tivity and habitat suitability significantly explained mortality, highlighting connected woodlands and
neighbouring matrices. The roadkill cumulative risk
endorses a conspicuous prioritisation of road plan-
ning units for implementing mitigation structures use-
ful for multiple species, with high precision and low
probability variation within each group. Some dis-
crepancies in prediction consistency still emerge after
group comparisons regarding bats.
Conclusions We provide novel insights for multi-
taxa ecological responses and roadkill evaluations,
demonstrating a possible spatial prioritisation in
mortality patterns from species with different traits.
The identified road units support resilience and mul-
tifunctionality over long-term, enabling to assist
cost-effective mitigation plans. Findings ultimately
offer versatility during the mitigation planning phase
throughout the identification of road sub-optimal
units, and opportunity costs given their potential for
different taxa. |
URI: | https://doi.org/10.1007/s10980-022-01587-6 http://hdl.handle.net/10174/34959 |
Type: | article |
Appears in Collections: | BIO - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica
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