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dc.contributor.authorValente, Ana M.
dc.contributor.authorFonseca, Carlos
dc.contributor.authorMarques, Tiago A.
dc.contributor.authorSantos, João P.
dc.contributor.authorRodrigues, Rogério
dc.contributor.authorTorres, Rita Tinoco
dc.date.accessioned2014-03-12T16:31:02Z
dc.date.available2014-03-12T16:31:02Z
dc.date.issued2014-02-01
dc.identifier.citationValente , A M , Fonseca , C , Marques , T A , Santos , J P , Rodrigues , R & Torres , R T 2014 , ' Living on the edge : Roe deer (Capreolus capreolus) density in the margins of Its geographical range ' , PLoS ONE , vol. 9 , no. 2 , e88459 . https://doi.org/10.1371/journal.pone.0088459en
dc.identifier.issn1932-6203
dc.identifier.otherPURE: 99508350
dc.identifier.otherPURE UUID: f3955f8b-2964-4933-880a-92208fa1539e
dc.identifier.otherBibtex: urn:db858fa72f0ca002363c217f3e05674d
dc.identifier.otherScopus: 84895772131
dc.identifier.otherORCID: /0000-0002-2581-1972/work/56861241
dc.identifier.otherWOS: 000331262600049
dc.identifier.urihttps://hdl.handle.net/10023/4523
dc.description.abstractOver the last decades roe deer (Capreolus capreolus) populations have increased in number and distribution throughout Europe. Such increases have profound impacts on ecosystems, both positive and negative. Therefore monitoring roe deer populations is essential for the appropriate management of this species, in order to achieve a balance between conservation and mitigation of the negative impacts. Despite being required for an effective management plan, the study of roe deer ecology in Portugal is at an early stage, and hence there is still a complete lack of knowledge of roe deer density within its known range. Distance sampling of pellet groups coupled with production and decay rates for pellet groups provided density estimates for roe deer in northeastern Portugal (Lombada National Hunting Area - LNHA, Serra de Montesinho – SM and Serra da Nogueira – SN; LNHA and SM located in Montesinho Natural Park). The estimated roe deer density using a stratified detection function was 1.23/100 ha for LNHA, 4.87/100 ha for SM and 4.25/100 ha in SN, with 95% confidence intervals (CI) of 0.68 to 2.21, 3.08 to 7.71 and 2.25 to 8.03, respectively. For the entire area, the estimated density was about 3.51/100 ha (95% CI - 2.26–5.45). This method can provide estimates of roe deer density, which will ultimately support management decisions. However, effective monitoring should be based on long-term studies that are able to detect population fluctuations. This study represents the initial phase of roe deer monitoring at the edge of its European range and intends to fill the gap in this species ecology, as the gathering of similar data over a number of years will provide the basis for stronger inferences. Monitoring should be continued, although the study area should be increased to evaluate the accuracy of estimates and assess the impact of management actions.
dc.language.isoeng
dc.relation.ispartofPLoS ONEen
dc.rightsCopyright © 2014 Valente et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.en
dc.subjectRoe deeren
dc.subjectPopulation densityen
dc.subjectPopulation ecologyen
dc.subjectEcosystemsen
dc.subjectConservationen
dc.subjectDistance samplingen
dc.titleLiving on the edge : Roe deer (Capreolus capreolus) density in the margins of Its geographical rangeen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Mathematics and Statisticsen
dc.contributor.institutionUniversity of St Andrews. Scottish Oceans Instituteen
dc.contributor.institutionUniversity of St Andrews. Centre for Research into Ecological & Environmental Modellingen
dc.identifier.doihttps://doi.org/10.1371/journal.pone.0088459
dc.description.statusPeer revieweden


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