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The road to success and the fences to be crossed: considering multiple infrastructure in landscape connectivity modelling

2023-12Artigo científico Acesso aberto
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dc.contributor.authorBotting, Isla
dc.contributor.authorAscensão, Fernando
dc.contributor.authorNavarro, Laetitia M.
dc.contributor.authorPaniw, Maria
dc.contributor.authorTablado, Zulima
dc.contributor.authorRomán, Jacinto
dc.contributor.authorRevilla, Eloy
dc.contributor.authorD'Amico, Marcello
dc.date.accessioned2024-04-17T12:36:26Z
dc.date.available2024-04-17T12:36:26Z
dc.date.issued2023-12
dc.description.abstractLinear infrastructure represent a barrier to movement for many species, reducing the connectivity of the landscapes in which they reside. Of all linear infrastructure, roads and fences are two of the most ubiquitous, and are understood to reduce landscape connectivity for wildlife. However, what is often neglected consideration is a holistic approach of modelling the effects of multiple types of linear infrastructure simultaneously. Few studies have examined this, typically assessing the impacts of a singular kind of infrastructure on landscape connectivity. Therefore, the aim of this study is to address the relative importance of considering multiple kinds of linear infrastructure in landscape connectivity modelling. We utilised presence data of red deer Cervus elaphus and wild boar Sus scrofa in Doñana Biosphere Reserve (Spain) to generate a sequential approach of scenarios of landscape connectivity; firstly only with environmental variables, secondly with roads as the sole infrastructure, thirdly with the addition of fences, and finally with the further addition of fences and wildlife road-crossing structures. We found that the connectivity of the landscape was greatly affected by the addition of fences and wildlife road-crossing structures in both species, with fences in particular causing considerable alterations to estimated movement pathways. Our finding impresses a need to consider multiple different types of linear infrastructure when modelling landscape connectivity to enable a more realistic view of wildlife movement and inform mitigation and conservation measures more accurately.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationBotting, I., Ascensão, F., Navarro, L.M., Paniw, M., Tablado, Z., Román, J., Revilla, E. and D'Amico, M. (2023), The road to success and the fences to be crossed: considering multiple infrastructure in landscape connectivity modelling. Wildlife Biology e01187. https://doi.org/10.1002/wlb3.01187pt_PT
dc.identifier.doi10.1002/wlb3.01187pt_PT
dc.identifier.urihttp://hdl.handle.net/10451/64365
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherWileypt_PT
dc.relationNaturaConnect (grant agreement no. 101060429, funded under the European Union's Horizon Europe Research and Innovation Programme).pt_PT
dc.relationUK Government Turing Scheme facilitated by DSC Regenpt_PT
dc.relationFCT (contract 2022.01773.CEECIND)pt_PT
dc.relationSUMHAL Project funded by the Spanish Ministry of Science and Innovation (MICINN) through the European Regional Development Fund [LIFEWATCH-2019-09-CSIC-13, POPE2014-2020]pt_PT
dc.relationSpanish Ministry of Economy and Competitiveness (MINECO) and by the European Social Fund through the Ramón y Cajal Program (RYC2021-033192-I)pt_PT
dc.relationMICINN through the Juan de la Cierva Incorporación Program (IJC2019-039662-I).pt_PT
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.titleThe road to success and the fences to be crossed: considering multiple infrastructure in landscape connectivity modellingpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleWildlife Biologypt_PT
person.familyNameAscensão
person.givenNameFernando
person.identifierUlJacfgAAAAJ
person.identifier.ciencia-id2C17-1BFD-1228
person.identifier.orcid0000-0003-1704-0212
rcaap.rightsopenAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication705f542c-6673-4bb3-b2a9-94b1641ce1fd
relation.isAuthorOfPublication.latestForDiscovery705f542c-6673-4bb3-b2a9-94b1641ce1fd

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