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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">10</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:6BEA2F36-F41A-5C4C-8F71-33F322F204B5</journal-id>
      <journal-id journal-id-type="aggregator">urn:lsid:zoobank.org:pub:0D3F4FBA-8FC4-4738-B942-05DB471A61E6</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Nature Conservation</journal-title>
        <abbrev-journal-title xml:lang="en">NC</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">1314-6947</issn>
      <issn pub-type="epub">1314-3301</issn>
      <publisher>
        <publisher-name>Pensoft Publishers</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/natureconservation.57.107283</article-id>
      <article-id pub-id-type="publisher-id">107283</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="biological_taxon">
          <subject>Ursidae</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>Ecological Modelling</subject>
          <subject>Environmental impact assessment </subject>
          <subject>Landscape genetics</subject>
          <subject>Monitoring</subject>
          <subject>Population ecology</subject>
        </subj-group>
        <subj-group subj-group-type="geographical_area">
          <subject>Romania</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>﻿Brown bear occurrence along a proposed highway route in Romania’s Carpathian Mountains</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Domokos</surname>
            <given-names>Csaba</given-names>
          </name>
          <email xlink:type="simple">csaba.domokos@milvus.ro</email>
          <uri content-type="orcid">https://orcid.org/0000-0002-9973-7779</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Collet</surname>
            <given-names>Sebastian</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-7309-5448</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Nowak</surname>
            <given-names>Carsten</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-3139-1951</uri>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Jánoska</surname>
            <given-names>Ferenc</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0002-6200-0829</uri>
          <xref ref-type="aff" rid="A3">3</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Cristescu</surname>
            <given-names>Bogdan</given-names>
          </name>
          <uri content-type="orcid">https://orcid.org/0000-0003-2964-5040</uri>
          <xref ref-type="aff" rid="A4">4</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">Milvus Group Bird and Nature Protection Association, str. Crinului 22, 540343 Tîrgu Mureș, Romania</addr-line>
        <institution>Milvus Group Bird and Nature Protection Association</institution>
        <addr-line content-type="city">Tîrgu Mureș</addr-line>
        <country>Romania</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">Senckenberg Research Institute and Natural History Museum Frankfurt, Centre for Wildlife Genetics, Clamecystraße 12, 63571 Gelnhausen, Germany</addr-line>
        <institution>Senckenberg Research Institute and Natural History Museum Frankfurt, Centre for Wildlife Genetics</institution>
        <addr-line content-type="city">Gelnhausen</addr-line>
        <country>Germany</country>
      </aff>
      <aff id="A3">
        <label>3</label>
        <addr-line content-type="verbatim">Institute of Game Biology and Management, University of Sopron, Bajcsy-Zsilinszky u. 4, 9400 Sopron, Hungary</addr-line>
        <institution>University of Sopron</institution>
        <addr-line content-type="city">Sopron</addr-line>
        <country>Hungary</country>
      </aff>
      <aff id="A4">
        <label>4</label>
        <addr-line content-type="verbatim">Institute for Communities and Wildlife in Africa (iCWild), Department of Biological Sciences, University of Cape Town, 7701 Cape Town, Western Cape, South Africa</addr-line>
        <institution>University of Cape Town</institution>
        <addr-line content-type="city">Cape Town</addr-line>
        <country>South Africa</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Csaba Domokos (<email xlink:type="simple">csaba.domokos@milvus.ro)</email></p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: Cristian-Remus Papp</p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2024</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>16</day>
        <month>12</month>
        <year>2024</year>
      </pub-date>
      <volume>57</volume>
      <fpage>41</fpage>
      <lpage>67</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/EA55C1C9-81A2-5CC6-8AFA-2BADC0B242CF">EA55C1C9-81A2-5CC6-8AFA-2BADC0B242CF</uri>
      <uri content-type="zoobank" xlink:href="http://zoobank.org/14AC17B1-9D6C-420D-966A-B4891C77389F">14AC17B1-9D6C-420D-966A-B4891C77389F</uri>
      <history>
        <date date-type="received">
          <day>31</day>
          <month>05</month>
          <year>2023</year>
        </date>
        <date date-type="accepted">
          <day>02</day>
          <month>07</month>
          <year>2024</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Csaba Domokos, Sebastian Collet, Carsten Nowak, Ferenc Jánoska, Bogdan Cristescu</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <self-uri content-type="zoobank" xlink:type="simple">http://zoobank.org/14AC17B1-9D6C-420D-966A-B4891C77389F</self-uri>
      <abstract>
        <label>﻿Abstract</label>
        <p>Linear transportation infrastructure threatens terrestrial mammals by altering their habitats, creating barriers to movement and increasing mortality risk. Large carnivores are especially susceptible to the negative effects of roads due to their wide-ranging movements. Major road developments are planned or ongoing throughout the range of the Romanian brown bear (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Ursus">Ursus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="arctos">arctos</tp:taxon-name-part></tp:taxon-name></italic>) population, which is numerically the largest in the European Union. The planned A8 (Tîrgu Mureș–Iași–Ungheni) highway crosses the Romanian Eastern Carpathians on their entire width, posing a risk to the Romanian and broader Carpathian transboundary bear population. In the summers of 2014, 2017 and 2020, we surveyed an 80 km-long section of the planned highway using 68 hair traps with lure mounted in pairs along the route. We aimed to assess bear occurrence, genetic connectivity across the proposed highway and to estimate the minimum number and sex ratio of bears present in the area. With an effort of 3,519 hair trapping days (17 days / trap / session), we identified 24 individuals from the 45 collected hair samples, with a higher prevalence of female bears (male:female sex ratio of 1:1.3). We documented functional connectivity across the planned highway through parent-offspring (4 cases), full-sib (2 cases) and half-sib (24 cases) genetic relationships amongst sampled individuals. Terrain ruggedness and longitude were the most important predictors of bear occurrence from our analysis of detections at hair trap locations. Bears consistently occurred in the vicinity of the planned highway when in rugged terrain of the western section of the study area and were often detected close to human settlements (&lt; 1 km). Even at this stage, without the A8 highway constructed, connectivity is likely already limited by the existing extensive network of settlements and restricted to a few important linkage areas still free of developments. Additional threats to bears and other wildlife in the area include poaching and large numbers of free-ranging dogs. We provide recommendations to mitigate these threats.</p>
      </abstract>
      <kwd-group>
        <label>Key words:</label>
        <kwd>Carpații Orientali</kwd>
        <kwd>detection survey</kwd>
        <kwd>habitat fragmentation</kwd>
        <kwd>hair trapping</kwd>
        <kwd>non-invasive survey</kwd>
        <kwd>road ecology</kwd>
        <kwd>
          <italic>
            <tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Ursus">Ursus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="arctos">arctos</tp:taxon-name-part></tp:taxon-name>
          </italic>
        </kwd>
      </kwd-group>
      <funding-group>
        <funding-statement>Aktionsgemeinschaft Artenschutz (Germany), Bears in Mind (the Netherlands), Bernd Thies Foundation (Switzerland), Columbus Zoo and Aquarium (United States), EuroNatur (Germany), Fresno Chaffe Zoo (United States), Stichting Wildlife (the Netherlands) and Stiftung für Bären (Germany)</funding-statement>
      </funding-group>
    </article-meta>
    <notes>
      <sec sec-type="Citation" id="SECID0EQF">
        <title>Citation</title>
        <p>Domokos C, Collet S, Nowak C, Jánoska F, Cristescu B (2024) Brown bear occurrence along a proposed highway route in Romania’s Carpathian Mountains. In: Papp C-R, Seiler A, Bhardwaj M, François D, Dostál I (Eds) Connecting people, connecting landscapes. Nature Conservation 57: 41–67. <ext-link xlink:href="10.3897/natureconservation.57.107283" ext-link-type="doi" xlink:type="simple">https://doi.org/10.3897/natureconservation.57.107283</ext-link></p>
      </sec>
    </notes>
  </front>
  <body>
    <sec sec-type="﻿Introduction" id="SECID0E2F">
      <title>﻿Introduction</title>
      <p>The loss, degradation and fragmentation of habitats represent major threats to terrestrial mammal diversity around the globe (<xref ref-type="bibr" rid="B97">Rands et al. 2010</xref>; <xref ref-type="bibr" rid="B20">Crooks et al. 2017</xref>; <xref ref-type="bibr" rid="B55">Kuipers et al. 2021</xref>). In recent decades, the impacts of roads on ecosystems have received concerted attention (<xref ref-type="bibr" rid="B13">Coffin 2007</xref>) and roads have been recognised as a main driving force behind the global alteration of natural habitats (<xref ref-type="bibr" rid="B31">Forman and Alexander 1998</xref>; <xref ref-type="bibr" rid="B117">Spellerberg 1998</xref>; <xref ref-type="bibr" rid="B126">Trombulak and Frissell 2000</xref>; <xref ref-type="bibr" rid="B98">Rhodes et al. 2014</xref>). Roads can affect many components of ecosystems and their associated edge effects can manifest at local and landscape levels (<xref ref-type="bibr" rid="B13">Coffin 2007</xref>). Animal species with wide ranging movements, large home ranges and long dispersal distances are especially vulnerable to roads (<xref ref-type="bibr" rid="B106">Rytwinski and Fahrig 2012</xref>). In particular, possible adverse effects of roads have been documented for large carnivores, including canids (<xref ref-type="bibr" rid="B45">Jȩdrzejewski et al. 2004</xref>; <xref ref-type="bibr" rid="B100">Riley et al. 2006</xref>), felids (<xref ref-type="bibr" rid="B83">Palma et al. 1999</xref>; <xref ref-type="bibr" rid="B52">Kerley et al. 2002</xref>; <xref ref-type="bibr" rid="B71">Niedziałkowska et al. 2006</xref>; <xref ref-type="bibr" rid="B14">Colchero et al. 2011</xref>; <xref ref-type="bibr" rid="B60">Litvaitis et al. 2015</xref>) and ursids (<xref ref-type="bibr" rid="B93">Proctor et al. 2018</xref>; <xref ref-type="bibr" rid="B66">Morales-González et al. 2020</xref>).</p>
      <p>The relationship between roads and brown bears (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Ursus">Ursus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="arctos">arctos</tp:taxon-name-part></tp:taxon-name></italic>) is complex, because road effects can be area- and/or sex-specific, may vary by time of day and season and can be influenced by traffic volume (<xref ref-type="bibr" rid="B85">Penteriani et al. 2018</xref>). Roads facilitate access of people to bear habitats, increasing the chances of human-bear encounters and bear mortality risk (<xref ref-type="bibr" rid="B3">Benn and Herrero 2002</xref>; <xref ref-type="bibr" rid="B12">Ciarniello et al. 2009</xref>; <xref ref-type="bibr" rid="B64">McLellan 2015</xref>). In some areas, collisions with vehicles represent a major cause of documented bear mortalities (<xref ref-type="bibr" rid="B43">Huber et al. 1998</xref>; <xref ref-type="bibr" rid="B46">Kaczensky et al. 2003</xref>; <xref ref-type="bibr" rid="B42">Gunther et al. 2004</xref>). Certain components of roadside vegetation, especially during spring and early summer (<xref ref-type="bibr" rid="B72">Nielsen et al. 2004a</xref>; <xref ref-type="bibr" rid="B103">Roever et al. 2008a</xref>), as well as other food sources associated with human presence on roads, such as waste (<xref ref-type="bibr" rid="B43">Huber et al. 1998</xref>), can lure bears close or onto roads. While seasonally attractive roadside vegetation can potentially improve female body condition and reproductive success, the benefits of roadsides are countered by high mortality (<xref ref-type="bibr" rid="B7">Boulanger et al. 2013</xref>). Road placement, for example, in areas of low ruggedness, can combine with previously enumerated factors to further increase the attraction of roads (<xref ref-type="bibr" rid="B103">Roever et al. 2008a</xref>).</p>
      <p>Some bears decrease their use of areas near roads or avoid these altogether, suggesting that roads can cause effective habitat loss at varying scales (<xref ref-type="bibr" rid="B65">McLellan and Shackleton 1988</xref>; <xref ref-type="bibr" rid="B51">Kasworm and Manley 1990</xref>; <xref ref-type="bibr" rid="B61">Mace et al. 1996</xref>; <xref ref-type="bibr" rid="B130">Waller and Servheen 2005</xref>). Displacement from habitats near roads reduces habitat extent and might affect body condition, reproductive rates and, ultimately, population density of bears (<xref ref-type="bibr" rid="B65">McLellan and Shackleton 1988</xref>; <xref ref-type="bibr" rid="B61">Mace et al. 1996</xref>). Adult males generally avoid roadsides (<xref ref-type="bibr" rid="B65">McLellan and Shackleton 1988</xref>; <xref ref-type="bibr" rid="B6">Boulanger and Stenhouse 2014</xref>). Females with cubs (<xref ref-type="bibr" rid="B65">McLellan and Shackleton 1988</xref>; <xref ref-type="bibr" rid="B39">Graham et al. 2010</xref>) and subadults (<xref ref-type="bibr" rid="B67">Mueller et al. 2004</xref>; <xref ref-type="bibr" rid="B39">Graham et al. 2010</xref>) tend to exploit the vicinity of roads more often, due to preferred forage availability (e.g. herbaceous vegetation layer for grazing) and/or as an avoidance mechanism against potentially aggressive/infanticidal adult males.</p>
      <p>Traffic volumes are negatively correlated with road permeability for bears (<xref ref-type="bibr" rid="B37">Gibeau 2000</xref>; <xref ref-type="bibr" rid="B130">Waller and Servheen 2005</xref>; <xref ref-type="bibr" rid="B76">Northrup et al. 2012</xref>). High traffic levels (e.g. along highways) can create home range boundaries for resident animals (<xref ref-type="bibr" rid="B46">Kaczensky et al. 2003</xref>; <xref ref-type="bibr" rid="B29">Find’o et al. 2019</xref>). Once traffic volumes exceed a threshold of 5,000 vehicles/24 hrs, roads may become absolute barriers to bear movements (<xref ref-type="bibr" rid="B114">Skuban et al. 2017</xref>). Roads can also offset the social structure of bear populations, because females are less likely to cross busy roads than males (<xref ref-type="bibr" rid="B38">Gibeau and Heuer 1996</xref>; <xref ref-type="bibr" rid="B130">Waller and Servheen 2005</xref>) and stop crossing roads altogether at a lower traffic threshold than males (4,000 vs. 5,000 vehicles/24 hrs; <xref ref-type="bibr" rid="B114">Skuban et al. 2017</xref>).</p>
      <p>North American studies advocate for limiting road access (<xref ref-type="bibr" rid="B61">Mace et al. 1996</xref>; <xref ref-type="bibr" rid="B131">Wielgus et al. 2002</xref>; <xref ref-type="bibr" rid="B40">Graves et al. 2006</xref>; <xref ref-type="bibr" rid="B103">Roever et al. 2008a</xref>, <xref ref-type="bibr" rid="B104">2008b</xref>) and reduction of road density in bear habitat by targeted road closure and removal (<xref ref-type="bibr" rid="B74">Nielsen et al. 2006</xref>; <xref ref-type="bibr" rid="B11">Ciarniello et al. 2007</xref>; <xref ref-type="bibr" rid="B75">Nielsen et al. 2008</xref>; <xref ref-type="bibr" rid="B121">Switalski and Nelson 2011</xref>). In Europe, on the other hand, bears mostly have to contend with crowded, highly fragmented, multi-use landscapes, with little wilderness areas left (<xref ref-type="bibr" rid="B120">Swenson et al. 2000</xref>; <xref ref-type="bibr" rid="B128">van Maanen et al. 2006</xref>; <xref ref-type="bibr" rid="B59">Linnell et al. 2008</xref>), where they are frequently exposed to roads (<xref ref-type="bibr" rid="B125">Torres et al. 2016</xref>; <xref ref-type="bibr" rid="B94">Psaralexi et al. 2017</xref>).</p>
      <p>Romania is an important stronghold for brown bears in Europe, hosting approximately 6,000 individuals (<xref ref-type="bibr" rid="B120">Swenson et al. 2000</xref>; <xref ref-type="bibr" rid="B128">van Maanen et al. 2006</xref>; <xref ref-type="bibr" rid="B59">Linnell et al. 2008</xref>; <xref ref-type="bibr" rid="B49">Kaczensky et al. 2013</xref>), although this number might be overestimated (<xref ref-type="bibr" rid="B108">Salvatori et al. 2002</xref>; <xref ref-type="bibr" rid="B89">Popescu et al. 2016</xref>). As a European Union (<abbrev xlink:title="European Union" id="ABBRID0EXHAC">EU</abbrev>) Member State since 2007, Romania has plans to extend and modernise its transport infrastructure to meet <abbrev xlink:title="European Union" id="ABBRID0E2HAC">EU</abbrev> standards, with the aid of both national and dedicated <abbrev xlink:title="European Union" id="ABBRID0E6HAC">EU</abbrev> funding (<xref ref-type="bibr" rid="B105">Romanian Ministry of Transport 2008</xref>). The goal is to cope with steadily increasing traffic levels: in the period 2007–2019, the number of vehicles has almost doubled, reaching more than 8 million in 2019 (<xref ref-type="bibr" rid="B26">Eurostat 2021</xref>). In 2020, the total length of Romanian highways was 904 km, with a highway density of 3.8 km/1,000 km<sup>2</sup>. Major transport infrastructure developments are envisioned to enlarge this network to a total of 2,416 km of highways and 1,784 km of express roads (<xref ref-type="bibr" rid="B84">Papp et al. 2022</xref>). The country’s best bear habitats are in the Carpathian Mountains and their foothills (<xref ref-type="bibr" rid="B120">Swenson et al. 2000</xref>; <xref ref-type="bibr" rid="B128">van Maanen et al. 2006</xref>; <xref ref-type="bibr" rid="B19">Cristescu et al. 2019</xref>), with many of the planned highways intersecting bear habitat. As a result, there is a potential risk that, without proper road mitigation measures in place, the Romanian bear population and its habitats will become severely fragmented.</p>
      <p>The planned A8 (Tîrgu Mureș–Iași–Ungheni) highway, linking the city of Tîrgu Mureș in the west to the national border between Romania and the Republic of Moldova in the east, has been identified as a major threat to brown bear habitat connectivity (<xref ref-type="bibr" rid="B28">Fedorca et al. 2019</xref>). In particular, its westernmost section will intersect both important bear denning habitats (<xref ref-type="bibr" rid="B27">Faure et al. 2020</xref>) and critical movement corridors linking denning habitats to seasonal feeding grounds, as indicated by telemetry data from bears fitted with GPS collars (Domokos, unpublished data). The goals of this study were to evaluate brown bear occurrence, habitat use and genetic connectivity along a central section of the planned A8 highway. We aimed to identify locations on the landscape that are conducive to 1) bear occurrence, 2) bear movement and 3) to estimate the minimum number and sex ratio of bears using the planned highway route prior to the highway’s construction. Our overarching hypothesis was that the distribution of the brown bear population would be ubiquitous and relatively homogeneous within a landscape that maintains some permeability despite human settlements, given that highway construction had not started at the time of the study. We anticipated that specific landscape characteristics might influence local patterns of bear occurrence.</p>
    </sec>
    <sec sec-type="materials|methods" id="SECID0EHJAC">
      <title>﻿Materials and methods</title>
      <sec sec-type="﻿Study area" id="SECID0ELJAC">
        <title>﻿Study area</title>
        <p>The planned A8 highway is designed to traverse the Romanian Eastern Carpathians and their foothills on a west–east axis. This study covers an 80 km-long segment of the central section (Section 2) of the highway, between the villages of Ditrău in the west and Leghin in the east, representing 37.4% of the total length (Fig. <xref ref-type="fig" rid="F1">1A</xref>). Here, the planned highway will follow and upgrade an existing network of county and national roads (DJ127, DN15, DN15B). Most (approximately 55 km) of the planned highway section considered in the study also parallels human settlements, which, in Romania, are often linear when following valleys. The primary land cover in the area is forest, dominated by coniferous or mixed coniferous-broadleaf tree species, including Norway spruce (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Picea">Picea</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="abies">abies</tp:taxon-name-part></tp:taxon-name></italic>), silver fir (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Abies">Abies</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="alba">alba</tp:taxon-name-part></tp:taxon-name></italic>), European larch (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Larix">Larix</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="decidua">decidua</tp:taxon-name-part></tp:taxon-name></italic>) and European beech (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Fagus">Fagus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="sylvatica">sylvatica</tp:taxon-name-part></tp:taxon-name></italic>). Deciduous forests composed of European beech, European hornbeam (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Carpinus">Carpinus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="betulus">betulus</tp:taxon-name-part></tp:taxon-name></italic>) and sometimes oak (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Quercus">Quercus</tp:taxon-name-part></tp:taxon-name></italic> sp.) occur infrequently mainly in some regenerating, previously logged parcels. Agriculture is mostly limited to animal husbandry and agricultural lands comprise pastures grazed from late spring to early autumn, as well as hayfields.</p>
        <fig id="F1" position="float" orientation="portrait">
          <object-id content-type="arpha">B78CB264-9E2E-55B0-B0B4-066859431992</object-id>
          <label>Figure 1.</label>
          <caption>
            <p>Route of the planned A8 highway and location of the study area in Romania’s Eastern Carpathians (<bold>A</bold>) and detailed map of the study area, with planned brown bear hair trap locations (n = 74) situated in pairs along an 80 km-long section of the planned A8 highway (<bold>B</bold>).</p>
          </caption>
          <graphic xlink:href="nature_conservation-57-041_article-107283__-g001.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1200429.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1200429</uri>
          </graphic>
        </fig>
        <p>Even without the planned A8 highway, the study area is partially fragmented by human settlements which are contiguous in some areas. Unlike for the western section of this highway, no purpose-built wildlife crossing structures have been planned for this 80 km-long section by the Environmental Permit (<xref ref-type="bibr" rid="B69">Neamț County Environmental Protection Agency 2023</xref>). Instead, a series of tunnels (23), viaducts (63) and bridges (60) that were planned due to the rugged topography, were considered adequate to also function as large mammal over- or underpasses, with a cumulative length of 26.5 km (33.1% of the section of interest).</p>
      </sec>
      <sec sec-type="﻿Study design" id="SECID0EKMAC">
        <title>﻿Study design</title>
        <p>We designed a sampling scheme to quantify the occurrence, functional connectivity across the planned highway, minimum population size and sex ratio of brown bears in the vicinity of the proposed highway. Using a Geographic Information System (<abbrev xlink:title="Geographic Information System" id="ABBRID0EQMAC">GIS</abbrev>), we divided a shapefile of the highway route into 1 km-long segments. We generated points in pairs at the end of each 1-km highway segment, with one point on either side of the highway and all points at a set 500 m from the route. Pairs of points of which at least one fell inside a <abbrev xlink:title="Geographic Information System" id="ABBRID0EUMAC">GIS</abbrev> layer of settlements were discarded, resulting in a total of 74 points arranged in 37 pairs (Fig. <xref ref-type="fig" rid="F1">1B</xref>).</p>
      </sec>
      <sec sec-type="﻿Hair trapping" id="SECID0E3MAC">
        <title>﻿Hair trapping</title>
        <p>We entered the coordinates of each of the 74 points described above in a hand-held GPS unit and accessed the points by driving and hiking to the sites. We deployed a hair trap station at each point during three survey sessions (2014, 2017, 2020). Surveys occurred in summer (June–July in 2014, July–August in 2017 and 2020). Hair traps were active for 17 days during each survey, after which the stations were retrieved from the field. Hair-trap stations were deployed within a 50 m buffer of each predetermined point, selecting areas with trees whenever possible. Stations consisted of a single strand of 4-prong barbed wire, mounted at a height of 50 cm that delimited a small area (6–16 m<sup>2</sup>). The barbed wire was secured with U nails to at least three trees, if present or to 1.5 m-long, sharpened poles that we carried to the site and hammered into the ground.</p>
        <p>At the centre of the area enclosed by the barbed wire, we constructed a small mound from locally available woody debris and rocks, onto which we poured 0.5 l of scent lure. The scented mound was unreachable for bears unless they crossed the barbed wire. We prepared the lure prior to each survey session, using 40 kg of Atlantic mackerel (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Scomber">Scomber</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="scombrus">scombrus</tp:taxon-name-part></tp:taxon-name></italic>) that we left rotting for 12 months in sealed plastic barrels. We then added 30 l of fresh, salted cattle blood and left the mixture to rot for an additional 3 months, before bottling it.</p>
        <p>We checked the barbed wire at each station after 17 days for hair samples. Obtained hairs were visually examined to classify them as brown bear vs. other species. Examiners were experienced wildlife biologists accompanied by gamekeepers who had handled hairs of bears and other mammals, as well as physically handled bears for &gt; 10 years. Hairs from other, clearly identifiable species were discarded after recording the non-target species. Hair samples from bears or of unclear origin were collected and labelled. Hairs located on the same group of four barbs were always collected as a single sample. Hairs located on neighbouring or almost neighbouring groups of barbs (i.e. 10–20 cm apart) were also collected as part of the same sample, unless they were obviously different in colour, length or texture. Hairs located further than 20 cm apart were always collected as separate samples, even if they seemed similar. We used medical tweezers to transfer samples from the barbed wire to envelopes, cleansing them after each use through burning with a lighter to avoid cross-sample contamination. Samples were stored individually in filter paper envelopes placed inside individual ziplock plastic bags that contained a bag of silica gel.</p>
      </sec>
      <sec sec-type="﻿Genetic analysis" id="SECID0ESNAC">
        <title>﻿Genetic analysis</title>
        <p>All pre-PCR molecular steps were conducted in a laboratory dedicated to the processing of environmental samples following standard routines for avoidance of contamination (<xref ref-type="bibr" rid="B124">Taberlet et al. 1999</xref>). DNA from collected hairs was extracted using the QIAamp DNA Investigator Kit (Qiagen, Hilden, Germany) with two final elution steps of 40 µl each. A part of the hypervariable domain of the mitochondrial control region (D-loop) was sequenced for general species identification (<xref ref-type="bibr" rid="B95">Pun et al. 2009</xref>) and haplotype assignment using the primers L15995 (<xref ref-type="bibr" rid="B122">Taberlet and Bouvet 1994</xref>) and H16498 (<xref ref-type="bibr" rid="B34">Fumagalli et al. 1996</xref>). For samples collected in the last sampling season (2020), the reverse primer was replaced through WdloopH (<xref ref-type="bibr" rid="B8">Caniglia et al. 2013</xref>). Obtained sequences were compared to the NCBI GenBank via BLAST search and bear haplotypes were assigned according to <xref ref-type="bibr" rid="B33">Frosch et al. (2014)</xref> (BG1, <ext-link ext-link-type="gen" xlink:href="KJ638591.1" xlink:type="simple">KJ638591.1</ext-link>; Ro2, <ext-link ext-link-type="gen" xlink:href="X75873.1" xlink:type="simple">X75873.1</ext-link>) and <xref ref-type="bibr" rid="B63">Matosiuk et al. (2019)</xref> (H7, <ext-link ext-link-type="gen" xlink:href="MG254055.1" xlink:type="simple">MG254055.1</ext-link>).</p>
        <p>For confirmed bear samples we amplified 13 unlinked autosomal microsatellite markers: Msut2 (<xref ref-type="bibr" rid="B53">Kitahara et al. 2000</xref>); G1A, G10C, G10P, G10D, G10L (<xref ref-type="bibr" rid="B82">Paetkau et al. 1995</xref>); G10H, G10J, G10U (<xref ref-type="bibr" rid="B81">Paetkau and Strobeck 1994</xref>); UarMU26 (<xref ref-type="bibr" rid="B123">Taberlet et al. 1997</xref>); Mu10, Mu23, Mu51 (<xref ref-type="bibr" rid="B2">Bellemain and Taberlet 2004</xref>). Reactions were performed in three multiplexes and four PCR replicates to account for genotyping errors (<xref ref-type="bibr" rid="B68">Navidi et al. 1992</xref>; <xref ref-type="bibr" rid="B124">Taberlet et al. 1999</xref>). PCR reactions were as described in <xref ref-type="bibr" rid="B32">Frosch et al. (2011)</xref> and microsatellite fragment analysis (including sex identification) was conducted as in <xref ref-type="bibr" rid="B33">Frosch et al. (2014)</xref>.</p>
        <p>The software ML-relate (<xref ref-type="bibr" rid="B50">Kalinowski et al. 2006</xref>) was used to infer genealogical relationships amongst individuals, based on the microsatellite data. ML-relate uses a Maximum Likelihood approach to estimate the likely relationship between pairs of individuals for four relationship categories: <abbrev xlink:title="parent-offspring" id="ABBRID0EQAAE">PO</abbrev> (parent-offspring), <abbrev xlink:title="full-sibs" id="ABBRID0EUAAE">FS</abbrev> (full-sib), <abbrev xlink:title="half-sibs" id="ABBRID0EYAAE">HS</abbrev> (half-sib) and U (unrelated). Related genotypes were manually compared to check for potential 1<sup>st</sup> grade relatives in the dataset.</p>
        <p>Error rates for microsatellite genotyping were assessed via three basic statistics: Allelic dropout (<abbrev xlink:title="Allelic dropout" id="ABBRID0EABAE">AD</abbrev>) was calculated for heterozygote consensus genotypes as the proportion of one of the two consensus alleles missing across replicates (including wrong alleles); false allele rate (<abbrev xlink:title="false allele rate" id="ABBRID0EEBAE">FA</abbrev>) was calculated for homozygote consensus genotypes as the proportion of additional alleles present across replicates; amplification success was calculated as the proportion of failed loci across all replicates. Error rates were calculated within samples across replicates and summarised over all samples.</p>
      </sec>
      <sec sec-type="﻿Environmental covariates" id="SECID0EIBAE">
        <title>﻿Environmental covariates</title>
        <p>We considered a suite of covariates that could <italic>a priori</italic> be hypothesised to influence bear occurrence (Table <xref ref-type="table" rid="T1">1</xref>). We categorised land cover (“Habitat”) in four classes which we assigned in the field when deploying hair-trap stations. We derived a terrain ruggedness index (“TRI”) from a 30-m Digital Elevation Model (<abbrev xlink:title="Digital Elevation Model" id="ABBRID0E5BAE">DEM</abbrev>) from the GMES RDA project (<abbrev xlink:title="European Union" id="ABBRID0ECCAE">EU</abbrev>-<abbrev xlink:title="Digital Elevation Model" id="ABBRID0EGCAE">DEM</abbrev>, <ext-link xlink:href="https://www.eea.europa.eu/" ext-link-type="uri" xlink:type="simple">https://www.eea.europa.eu/</ext-link>) using the GDAL Terrain Ruggedness Index algorithm in Q-<abbrev xlink:title="Geographic Information System" id="ABBRID0EPCAE">GIS</abbrev> (v.3.18, <xref ref-type="bibr" rid="B96">QGIS Development Team 2013</xref>). From the resulting raster, we extracted TRI values for hair trap locations with the SAGA Add Grid/Raster Values to Points algorithm. The TRI provides a quantitative measure of topographic heterogeneity, calculating the sum change in elevation between a grid cell and its neighbouring cells (<xref ref-type="bibr" rid="B99">Riley et al. 1999</xref>). We calculated the distance of each hair-trap location to the nearest human settlement (“DistSett”) using the GRASS v.distance algorithm. Human settlements were available as a polygon shapefile from CORINE Land Cover 2012 (“discontinuous urban fabric”; <xref ref-type="bibr" rid="B15">CORINE Land Cover database 2012</xref>). As human influence in the form of poaching was suspected to occur on a west to east gradient (with easternmost areas having higher poaching pressure, based on local information and our experiences in the field), we also considered a “Longitude” covariate.</p>
        <table-wrap id="T1" position="float" orientation="portrait">
          <label>Table 1.</label>
          <caption>
            <p>Covariates for modelling brown bear occurrence along a planned highway in Romania’s Eastern Carpathians.</p>
          </caption>
          <table id="TID0E33DI" rules="all">
            <tbody>
              <tr>
                <th rowspan="1" colspan="1">Covariate</th>
                <th rowspan="1" colspan="1">Code</th>
                <th rowspan="1" colspan="1">Units</th>
                <th rowspan="1" colspan="1">Data range</th>
                <th rowspan="1" colspan="1">Linearity</th>
                <th rowspan="1" colspan="1">Covariate justification (<italic>potential</italic> influence to be tested in the models)</th>
                <th rowspan="1" colspan="1">References</th>
              </tr>
              <tr>
                <td rowspan="1" colspan="7">
                  <bold>Habitat</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="7">
                  <bold>
                    <italic>Abiotic</italic>
                  </bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Terrain Ruggedness Index</td>
                <td rowspan="1" colspan="1">
                  TRI
                </td>
                <td rowspan="1" colspan="1">Unitless (index)</td>
                <td rowspan="1" colspan="1">0.43–13.86</td>
                <td rowspan="1" colspan="1">Non-linear</td>
                <td rowspan="1" colspan="1">Rugged terrain offers habitat security by limiting human access and providing better cover</td>
                <td rowspan="1" colspan="1"><xref ref-type="bibr" rid="B73">Nielsen et al. (2004b)</xref>; <xref ref-type="bibr" rid="B62">Martin et al. (2010)</xref>; <xref ref-type="bibr" rid="B107">Sahlén et al. (2011)</xref></td>
              </tr>
              <tr>
                <td rowspan="1" colspan="7">
                  <bold>
                    <italic>Biotic</italic>
                  </bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Habitat</td>
                <td rowspan="1" colspan="1">Habitat</td>
                <td rowspan="1" colspan="1">Categorical</td>
                <td rowspan="1" colspan="1">Pasture, mixed forest, conifer forest, deciduous forest</td>
                <td rowspan="1" colspan="1">Non-linear</td>
                <td rowspan="1" colspan="1">Pastures, deciduous and mixed forests provide feeding opportunities for bears. All three forest types provide cover for the species.</td>
                <td rowspan="1" colspan="1"><xref ref-type="bibr" rid="B23">Dorresteijn et al. (2014)</xref>; <xref ref-type="bibr" rid="B88">Pop et al. (2018)</xref></td>
              </tr>
              <tr>
                <td rowspan="1" colspan="7">
                  <bold>Human Influence</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  Longitude
                </td>
                <td rowspan="1" colspan="1">
                  Longitude
                </td>
                <td rowspan="1" colspan="1">Degree</td>
                <td rowspan="1" colspan="1">25.55–26.22</td>
                <td rowspan="1" colspan="1">Linear</td>
                <td rowspan="1" colspan="1">Poaching was suspected to occur on a west to east gradient, with easternmost areas having higher poaching pressure</td>
                <td rowspan="1" colspan="1">none (area specific)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">Distance to nearest settlement</td>
                <td rowspan="1" colspan="1">DistSett</td>
                <td rowspan="1" colspan="1">Metre</td>
                <td rowspan="1" colspan="1">0–4,484.54</td>
                <td rowspan="1" colspan="1">Non-linear</td>
                <td rowspan="1" colspan="1">The proximity of settlements can filter the bear population for individuals more tolerant towards people and/or actively avoiding larger/more aggressive conspecifics</td>
                <td rowspan="1" colspan="1"><xref ref-type="bibr" rid="B47">Kaczensky et al. (2006)</xref>; <xref ref-type="bibr" rid="B70">Nellemann et al. (2007)</xref>; <xref ref-type="bibr" rid="B25">Elfström et al. (2014)</xref></td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec sec-type="﻿Statistical analyses" id="SECID0EWKAE">
        <title>﻿Statistical analyses</title>
        <p>We used ordinal logistic regression to investigate brown bear occurrence as a function of covariates hypothesised to influence bear habitat use. In ordinal logistic regression, the dependent variable is structured to have multiple discrete values in an assigned order. Although our data involved repeated surveys at the same set of stations, an occupancy modelling approach was not appropriate because the assumption of population closure for the survey duration was not fulfilled. Occurrence in our analytical framework took three values corresponding to situations where a bear was detected: no detection in the three survey sessions (1), detection in one of the three sessions (2) and detection in two or three of the three sessions (3). This method follows the approach of <xref ref-type="bibr" rid="B10">Chapron et al. (2014)</xref> and aims to identify areas with greatest probability of bear occurrence. Detection was defined as confirmed brown bear presence irrespective of the number of samples collected at a hair trapping station in a specific survey year and regardless of how many bear individuals were confirmed present at the site through genetic analysis.</p>
        <p>We generated a set of 15 candidate models that were either univariate or included combinations of covariates. A correlation matrix including all covariates showed that the variables were not highly correlated (<italic>r</italic> &lt;|0.6|) and could, therefore, be included in the same model structure. The models were included in three categories corresponding to three hypotheses: Habitat (<italic>n</italic> = 1), Human (<italic>n</italic> = 7) and combined Habitat and Human influences (<italic>n</italic> = 7). We ranked models using delta AICc and calculated evidence ratios for supported models (delta AICc &lt; 2 and delta AICc &lt; delta AICc of the null model).</p>
        <p>We report the results as odds ratios, which we obtained through using the exponential of the parameter estimate(s) of the predictor(s) in the top model(s). For a one-unit increase in each predictor, odds ratios &gt; 1 indicate an increase and odds ratios &lt; 1 a decrease in the odds of bear occurrence.</p>
        <p>We used QGIS v.3.16.15 for <abbrev xlink:title="Geographic Information System" id="ABBRID0ENLAE">GIS</abbrev> procedures and R Studio v.2021.09.0 Build 351 for all statistical analyses.</p>
      </sec>
    </sec>
    <sec sec-type="﻿Results" id="SECID0ERLAE">
      <title>﻿Results</title>
      <p>Overall, 68 hair-trap stations were active for 17 consecutive days across all sessions. Sampling effort was 1,156 trapping days in 2014 and 2017, respectively 1,207 trapping days in 2020. Three additional hair-trap stations active only in 2020 were excluded from modelling bear occurrence, but included in all other analyses. Three other locations that had been planned for sampling were excluded due to the presence of shepherd camps or livestock water troughs in all survey years.</p>
      <sec sec-type="﻿Brown bear detection" id="SECID0EWLAE">
        <title>﻿Brown bear detection</title>
        <p>During the three survey sessions, we collected a total of 89 hair samples. Mitochondrial control region sequencing was successful for 86 of the 89 analysed samples (96.6%). Half of the samples (<italic>n</italic> = 45, 50.6%) could be assigned to brown bears: 12 in 2014, 27 in 2017 and six in 2020. The samples originated from 12 hair traps in 2014 (17.7% of all mounted traps), 11 in 2017 (16.2% of all mounted traps) and five in 2020 (7% of all mounted traps). Bear hair was almost exclusively collected from hair trap locations west of Lake Bicaz (43 of the 45 samples). The two exceptions were samples collected in 2017 from the same hair trap that was the westernmost location sampled east of Lake Bicaz. During fieldwork east of the Lake, we only observed bear sign (tracks of a single animal) once in 2017. In contrast, we often encountered bear sign (tracks, scats, excavated anthills, peeled tree bark) west of Lake Bicaz.</p>
        <p>Twenty of the 68 traps active across all three sessions registered bear hair (29.4%). Additionally, one trap active only in 2020 also captured bear hair. Fourteen traps were successful during a single session (including one active only in 2020), whereas seven traps yielded bear hair samples in two sessions each (Fig. <xref ref-type="fig" rid="F2">2A–C</xref>). Ten traps on each side of the planned highway route detected bears, whereas an additional trap only active in 2020 on the north side of the route also registered bear detection. Successful hair traps were distributed across all habitat classes surveyed: pasture (8), mixed forest (5), conifer forest (4) and deciduous forest (4).</p>
        <fig id="F2" position="float" orientation="portrait">
          <object-id content-type="arpha">FF8724E5-5C58-55EE-A565-134CF4061C0E</object-id>
          <label>Figure 2.</label>
          <caption>
            <p>Brown bear hair trapping success along an 80 km-long section of the planned A8 highway during three survey sessions in the summers of 2014, 2017 and 2020 (<bold>A–C</bold>).</p>
          </caption>
          <graphic xlink:href="nature_conservation-57-041_article-107283__-g002.jpg" position="float" orientation="portrait" xlink:type="simple" id="oo_1200430.jpg">
            <uri content-type="original_file">https://binary.pensoft.net/fig/1200430</uri>
          </graphic>
        </fig>
        <p>We identified a total of three haplotypes, namely BG1 and Ro2 (<xref ref-type="bibr" rid="B33">Frosch et al. 2014</xref>; NCBI accession numbers <ext-link ext-link-type="gen" xlink:href="KJ638591.1" xlink:type="simple">KJ638591.1</ext-link>, <ext-link ext-link-type="gen" xlink:href="X75873.1" xlink:type="simple">X75873.1</ext-link>) and a third one matching to H7 (<xref ref-type="bibr" rid="B63">Matosiuk et al. 2019</xref>; <ext-link ext-link-type="gen" xlink:href="MG254055.1" xlink:type="simple">MG254055.1</ext-link>, although the H7 sequence is slightly longer compared to our fragment).</p>
      </sec>
      <sec sec-type="﻿Non-target species detection" id="SECID0EMNAE">
        <title>﻿Non-target species detection</title>
        <p>We documented other wildlife and domestic species depositing hair at the hair trapping stations. Domestic dogs as the most frequently detected species overall (more than bears) were detected in all three survey years (2014, 2017, 2020: 15, 28, 22 locations, respectively) and so were wild boar (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Sus">Sus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="scrofa">scrofa</tp:taxon-name-part></tp:taxon-name></italic>; 2, 1, 4 locations) and red deer (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Cervus">Cervus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="elaphus">elaphus</tp:taxon-name-part></tp:taxon-name></italic>; 1, 1, 3 locations). Roe deer (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Capreolus">Capreolus</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="capreolus">capreolus</tp:taxon-name-part></tp:taxon-name></italic>) were detected in two survey years (2014, 2017: 1, 2 locations), just as cattle (2014, 2017: 2, 8 locations) and horses (2014, 2020: 1, 1 locations). Red fox (<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Vulpes">Vulpes</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="vulpes">vulpes</tp:taxon-name-part></tp:taxon-name></italic>; 2020: 2 locations) and sheep (2014: 1 location) were each detected in one survey year. Additionally, unidentified <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Canis">Canis</tp:taxon-name-part></tp:taxon-name></italic> sp. (either dogs or wolves [<italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Canis">Canis</tp:taxon-name-part> <tp:taxon-name-part taxon-name-part-type="species" reg="lupus">lupus</tp:taxon-name-part></tp:taxon-name></italic>], as mitochondrial haplotypes w4, w11 and w19 following <xref ref-type="bibr" rid="B87">Pilot et al. (2010)</xref> have been identified in both European wolves and in dogs; data not shown) were detected in two survey years (2017, 2020: 13, 3 locations). We confirmed the presence of dogs at 10 out of the 13 locations in 2017 and all three locations in 2020 where we detected unidentified <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Canis">Canis</tp:taxon-name-part></tp:taxon-name></italic> sp. genetically.</p>
      </sec>
      <sec sec-type="﻿Modelled bear occurrence" id="SECID0E2PAE">
        <title>﻿Modelled bear occurrence</title>
        <p>Only one model that had an intermediate number of parameters received support (model 7 with two parameters; Table <xref ref-type="table" rid="T2">2</xref>). The model had good fit compared to the null model (Likelihood Ratio Test <italic>LR</italic> = 14.25, <italic>df</italic> = 2, <italic>P</italic> = 0.0008). Bears occurred consistently in areas of high terrain ruggedness. For 1-unit increase in ruggedness, the odds of bear occurrence increased by 32% (95% CI 8–63%). Longitude also influenced bear occurrence, with hair traps in the west having higher probability of occurrence than those in the east. As longitude of the trap location increased by 1-unit, the odds of bear presence decreased by 99%, with the decrease up to 98-fold as illustrated by the confidence interval (95% CI 45–9800%). Although distance to human settlement was not included in the supported model, it is noteworthy to mention that 15 of the 20 (75%) hair traps where bears were detected were located &lt; 1 km from the edge of the nearest human settlement.</p>
        <table-wrap id="T2" position="float" orientation="portrait">
          <label>Table 2.</label>
          <caption>
            <p>Ranking of brown bear occurrence models across a planned highway route in Romania’s Eastern Carpathians. The supported model is illustrated in bold font.</p>
          </caption>
          <table id="TID0E3EAK" rules="all">
            <tbody>
              <tr>
                <th rowspan="1" colspan="1">Model_code</th>
                <th rowspan="1" colspan="1">Model_set</th>
                <th rowspan="1" colspan="1">Model_structure</th>
                <th rowspan="1" colspan="1">K</th>
                <th rowspan="1" colspan="1">ResDev</th>
                <th rowspan="1" colspan="1">AIC</th>
                <th rowspan="1" colspan="1">AICc</th>
                <th rowspan="1" colspan="1">dAICc</th>
                <th rowspan="1" colspan="1">ER</th>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">
                  <bold>7</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>Human Influence</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold><italic>TRI</italic> + <italic>Longitude</italic></bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>4</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>94.0</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>102.0</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>102.7</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>0.0</bold>
                </td>
                <td rowspan="1" colspan="1">
                  <bold>1.0</bold>
                </td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">8</td>
                <td rowspan="1" colspan="1">Human Influence</td>
                <td rowspan="1" colspan="1">DistSett + TRI + Longitude</td>
                <td rowspan="1" colspan="1">5</td>
                <td rowspan="1" colspan="1">93.9</td>
                <td rowspan="1" colspan="1">103.9</td>
                <td rowspan="1" colspan="1">104.8</td>
                <td rowspan="1" colspan="1">2.2</td>
                <td rowspan="1" colspan="1">2.9</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">3</td>
                <td rowspan="1" colspan="1">Human Influence</td>
                <td rowspan="1" colspan="1">
                  TRI
                </td>
                <td rowspan="1" colspan="1">3</td>
                <td rowspan="1" colspan="1">100.4</td>
                <td rowspan="1" colspan="1">106.4</td>
                <td rowspan="1" colspan="1">106.8</td>
                <td rowspan="1" colspan="1">4.1</td>
                <td rowspan="1" colspan="1">8.0</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">6</td>
                <td rowspan="1" colspan="1">Human Influence</td>
                <td rowspan="1" colspan="1">DistSett + Longitude</td>
                <td rowspan="1" colspan="1">4</td>
                <td rowspan="1" colspan="1">98.8</td>
                <td rowspan="1" colspan="1">106.8</td>
                <td rowspan="1" colspan="1">107.4</td>
                <td rowspan="1" colspan="1">4.7</td>
                <td rowspan="1" colspan="1">10.6</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">5</td>
                <td rowspan="1" colspan="1">Human Influence</td>
                <td rowspan="1" colspan="1">DistSett + TRI</td>
                <td rowspan="1" colspan="1">4</td>
                <td rowspan="1" colspan="1">99.3</td>
                <td rowspan="1" colspan="1">107.3</td>
                <td rowspan="1" colspan="1">108.0</td>
                <td rowspan="1" colspan="1">5.3</td>
                <td rowspan="1" colspan="1">14.1</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">14</td>
                <td rowspan="1" colspan="1">Human Influence &amp; Habitat</td>
                <td rowspan="1" colspan="1">Habitat + TRI + Longitude</td>
                <td rowspan="1" colspan="1">7</td>
                <td rowspan="1" colspan="1">92.5</td>
                <td rowspan="1" colspan="1">106.5</td>
                <td rowspan="1" colspan="1">108.4</td>
                <td rowspan="1" colspan="1">5.7</td>
                <td rowspan="1" colspan="1">17.3</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">4</td>
                <td rowspan="1" colspan="1">Human Influence</td>
                <td rowspan="1" colspan="1">
                  Longitude
                </td>
                <td rowspan="1" colspan="1">3</td>
                <td rowspan="1" colspan="1">102.0</td>
                <td rowspan="1" colspan="1">108.0</td>
                <td rowspan="1" colspan="1">108.4</td>
                <td rowspan="1" colspan="1">5.7</td>
                <td rowspan="1" colspan="1">17.4</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">15</td>
                <td rowspan="1" colspan="1">Human Influence &amp; Habitat</td>
                <td rowspan="1" colspan="1">Habitat + DistSett + TRI + Longitude</td>
                <td rowspan="1" colspan="1">8</td>
                <td rowspan="1" colspan="1">92.2</td>
                <td rowspan="1" colspan="1">108.2</td>
                <td rowspan="1" colspan="1">110.6</td>
                <td rowspan="1" colspan="1">8.0</td>
                <td rowspan="1" colspan="1">54.0</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">10</td>
                <td rowspan="1" colspan="1">Human Influence &amp; Habitat</td>
                <td rowspan="1" colspan="1">Habitat + TRI</td>
                <td rowspan="1" colspan="1">6</td>
                <td rowspan="1" colspan="1">98.4</td>
                <td rowspan="1" colspan="1">110.4</td>
                <td rowspan="1" colspan="1">111.7</td>
                <td rowspan="1" colspan="1">9.1</td>
                <td rowspan="1" colspan="1">92.9</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">0</td>
                <td rowspan="1" colspan="1">Null</td>
                <td rowspan="1" colspan="1">Null</td>
                <td rowspan="1" colspan="1">2</td>
                <td rowspan="1" colspan="1">108.3</td>
                <td rowspan="1" colspan="1">112.3</td>
                <td rowspan="1" colspan="1">112.5</td>
                <td rowspan="1" colspan="1">9.8</td>
                <td rowspan="1" colspan="1">134.2</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">13</td>
                <td rowspan="1" colspan="1">Human Influence &amp; Habitat</td>
                <td rowspan="1" colspan="1">Habitat + DistSett + Longitude</td>
                <td rowspan="1" colspan="1">7</td>
                <td rowspan="1" colspan="1">97.2</td>
                <td rowspan="1" colspan="1">111.2</td>
                <td rowspan="1" colspan="1">113.0</td>
                <td rowspan="1" colspan="1">10.4</td>
                <td rowspan="1" colspan="1">178.3</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">12</td>
                <td rowspan="1" colspan="1">Human Influence &amp; Habitat</td>
                <td rowspan="1" colspan="1">Habitat + DistSett + TRI</td>
                <td rowspan="1" colspan="1">7</td>
                <td rowspan="1" colspan="1">97.6</td>
                <td rowspan="1" colspan="1">111.6</td>
                <td rowspan="1" colspan="1">113.5</td>
                <td rowspan="1" colspan="1">10.8</td>
                <td rowspan="1" colspan="1">219.1</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">11</td>
                <td rowspan="1" colspan="1">Human Influence &amp; Habitat</td>
                <td rowspan="1" colspan="1">Habitat + Longitude</td>
                <td rowspan="1" colspan="1">6</td>
                <td rowspan="1" colspan="1">100.5</td>
                <td rowspan="1" colspan="1">112.5</td>
                <td rowspan="1" colspan="1">113.9</td>
                <td rowspan="1" colspan="1">11.2</td>
                <td rowspan="1" colspan="1">274.2</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">2</td>
                <td rowspan="1" colspan="1">Human Influence</td>
                <td rowspan="1" colspan="1">DistSett</td>
                <td rowspan="1" colspan="1">3</td>
                <td rowspan="1" colspan="1">108.3</td>
                <td rowspan="1" colspan="1">114.3</td>
                <td rowspan="1" colspan="1">114.7</td>
                <td rowspan="1" colspan="1">12.0</td>
                <td rowspan="1" colspan="1">401.0</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">1</td>
                <td rowspan="1" colspan="1">Habitat</td>
                <td rowspan="1" colspan="1">Habitat</td>
                <td rowspan="1" colspan="1">5</td>
                <td rowspan="1" colspan="1">107.1</td>
                <td rowspan="1" colspan="1">117.1</td>
                <td rowspan="1" colspan="1">118.1</td>
                <td rowspan="1" colspan="1">15.4</td>
                <td rowspan="1" colspan="1">2198.3</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">9</td>
                <td rowspan="1" colspan="1">Human Influence &amp; Habitat</td>
                <td rowspan="1" colspan="1">Habitat + DistSett</td>
                <td rowspan="1" colspan="1">6</td>
                <td rowspan="1" colspan="1">107.1</td>
                <td rowspan="1" colspan="1">119.1</td>
                <td rowspan="1" colspan="1">120.4</td>
                <td rowspan="1" colspan="1">17.8</td>
                <td rowspan="1" colspan="1">7194.3</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec sec-type="﻿Minimum number of identified bears" id="SECID0ECFAG">
        <title>﻿Minimum number of identified bears</title>
        <p>Genotyping of brown bear hair samples was successful for 34 (75.6%) samples. Calculation of error rates showed a mean allelic dropout rate of 0.17 (SD = 0.28), a mean false allele rate of 0.03 (SD = 0.14) and a mean amplification success of 0.78 (SD = 0.27). Out of the 34 samples, nine were excluded from further analysis, as they originated from four individuals that had already been identified on the same hair traps, during the same survey year (2017). We identified a total of 24 individual bears across the three survey sessions. Sex was successfully determined for 21 (87.5%) of the 24 individuals: nine were males and 12 females, resulting in a sex ratio (male:female) of 1:1.3. The largest number of individuals was identified in the year 2017 (<italic>n</italic><sub>female</sub> = 7, <italic>n</italic><sub>male</sub> = 3, <italic>n</italic><sub>unknown</sub> = 2), followed by year 2014 (<italic>n</italic><sub>female</sub> = 4, <italic>n</italic><sub>male</sub> = 5) and 2020 (<italic>n</italic><sub>female</sub> = 2, <italic>n</italic><sub>male</sub> = 1, <italic>n</italic><sub>unknown</sub> = 1).</p>
      </sec>
      <sec sec-type="﻿Bear recapture, relatedness and connectivity" id="SECID0EAGAG">
        <title>﻿Bear recapture, relatedness and connectivity</title>
        <p>Only one female bear was recaptured in our study, both within and across survey years, amongst different hair trap locations. The animal was detected in 2014 and 2017 on neighbouring hair traps located on the same side (south) of the planned highway route.</p>
        <p>We found four cases of parent-offspring (<abbrev xlink:title="parent-offspring" id="ABBRID0EHGAG">PO</abbrev>) relationships and two full-sibs (<abbrev xlink:title="full-sibs" id="ABBRID0ELGAG">FS</abbrev>) in the dataset (Table <xref ref-type="table" rid="T3">3</xref>). Some potential degree of more distant relatedness (half-sibs [<abbrev xlink:title="half-sibs" id="ABBRID0ETGAG">HS</abbrev>]) was identified for a total of 24 additional pairs. Eleven (9 × <abbrev xlink:title="half-sibs" id="ABBRID0EXGAG">HS</abbrev>; 2 × <abbrev xlink:title="full-sibs" id="ABBRID0E2GAG">FS</abbrev>) of the 30 related pairs of animals were found on opposite sides of the planned highway, which suggests gene flow across the envisioned highway route. The remaining 19 related pairs of animals (4 × <abbrev xlink:title="parent-offspring" id="ABBRID0E6GAG">PO</abbrev>; 15 × <abbrev xlink:title="half-sibs" id="ABBRID0EDHAG">HS</abbrev>) were detected on the same sides of the planned highway (either north or south). Two of these pairs were detected on the same two hair traps. The remaining 17 pairs, however, detected on different hair traps indicate that movement is not impeded along a given side.</p>
        <table-wrap id="T3" position="float" orientation="portrait">
          <label>Table 3.</label>
          <caption>
            <p>Successfully genotyped bears (n = 24), relatedness and movements in relation to the planned highway route implied by detected relatedness. Hair traps A were located to the north, hair traps B to the south of the planned highway route, with numbers increasing from west to east.</p>
          </caption>
          <table id="TID0ET2AK" rules="all">
            <tbody>
              <tr>
                <th rowspan="1" colspan="1">Individual</th>
                <th rowspan="1" colspan="1">Sex</th>
                <th rowspan="1" colspan="1">Detected on hair trap (survey year)</th>
                <th rowspan="1" colspan="1">Haplotype</th>
                <th rowspan="1" colspan="1">Clade/lineage</th>
                <th rowspan="1" colspan="1">Related with (relatedness)</th>
                <th rowspan="1" colspan="1">Movement implied by relatedness in relation to highway route</th>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA001</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">A06 (2014)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA004 (<abbrev xlink:title="half-sibs" id="ABBRID0E4IAG">HS</abbrev>); RO_UA011 (<abbrev xlink:title="half-sibs" id="ABBRID0EBJAG">HS</abbrev>); RO_UA022 (<abbrev xlink:title="half-sibs" id="ABBRID0EFJAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; across; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA002</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A13 (2014)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA014 (<abbrev xlink:title="parent-offspring" id="ABBRID0EAKAG">PO</abbrev>); RO_UA015 (<abbrev xlink:title="parent-offspring" id="ABBRID0EEKAG">PO</abbrev>); RO_UA018 (<abbrev xlink:title="half-sibs" id="ABBRID0EIKAG">HS</abbrev>); RO_UA021 (<abbrev xlink:title="half-sibs" id="ABBRID0EMKAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; along; along; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA003</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">A18 (2014)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA007 (<abbrev xlink:title="full-sibs" id="ABBRID0EHLAG">FS</abbrev>); RO_UA009 (<abbrev xlink:title="half-sibs" id="ABBRID0ELLAG">HS</abbrev>); RO_UA022 (<abbrev xlink:title="half-sibs" id="ABBRID0EPLAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">across; across; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA004</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A25 (2014)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA001 (<abbrev xlink:title="half-sibs" id="ABBRID0EKMAG">HS</abbrev>); RO_UA011 (<abbrev xlink:title="half-sibs" id="ABBRID0EOMAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA005</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">B03 (2014)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA006 (<abbrev xlink:title="half-sibs" id="ABBRID0EJNAG">HS</abbrev>); RO_UA013 (<abbrev xlink:title="half-sibs" id="ABBRID0ENNAG">HS</abbrev>); RO_UA025 (<abbrev xlink:title="half-sibs" id="ABBRID0ERNAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; across; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA006</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">B14 (2014); B13 (2017)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA005 (<abbrev xlink:title="half-sibs" id="ABBRID0EMOAG">HS</abbrev>); RO_UA019 (<abbrev xlink:title="half-sibs" id="ABBRID0EQOAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA007</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">B18 (2014)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA003 (<abbrev xlink:title="full-sibs" id="ABBRID0ELPAG">FS</abbrev>); RO_UA020 (<abbrev xlink:title="full-sibs" id="ABBRID0EPPAG">FS</abbrev>)</td>
                <td rowspan="1" colspan="1">across; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA008</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">B20 (2014)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA016 (<abbrev xlink:title="half-sibs" id="ABBRID0EKQAG">HS</abbrev>); RO_UA019 (<abbrev xlink:title="half-sibs" id="ABBRID0EOQAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">across; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA009</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">B24 (2014)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA003 (<abbrev xlink:title="half-sibs" id="ABBRID0EJRAG">HS</abbrev>); RO_UA019 (<abbrev xlink:title="half-sibs" id="ABBRID0ENRAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">across; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA011</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">B03 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA001 (<abbrev xlink:title="half-sibs" id="ABBRID0EISAG">HS</abbrev>); RO_UA004 (<abbrev xlink:title="half-sibs" id="ABBRID0EMSAG">HS</abbrev>);</td>
                <td rowspan="1" colspan="1">across; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA012</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A13 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA013 (<abbrev xlink:title="parent-offspring" id="ABBRID0EHTAG">PO</abbrev>); RO_UA022 (<abbrev xlink:title="half-sibs" id="ABBRID0ELTAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">none (same hair trap); along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA013</td>
                <td rowspan="1" colspan="1">?</td>
                <td rowspan="1" colspan="1">A13 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA005 (<abbrev xlink:title="half-sibs" id="ABBRID0EGUAG">HS</abbrev>); RO_UA012 (<abbrev xlink:title="parent-offspring" id="ABBRID0EKUAG">PO</abbrev>); RO_UA015 (<abbrev xlink:title="half-sibs" id="ABBRID0EOUAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">across; none (same hair trap); along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA014</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A14 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA002 (<abbrev xlink:title="parent-offspring" id="ABBRID0EJVAG">PO</abbrev>); RO_UA016 (<abbrev xlink:title="half-sibs" id="ABBRID0ENVAG">HS</abbrev>); RO_UA018 (<abbrev xlink:title="half-sibs" id="ABBRID0ERVAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; along; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA015</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A14 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA002 (<abbrev xlink:title="parent-offspring" id="ABBRID0EMWAG">PO</abbrev>); RO_UA013 (<abbrev xlink:title="half-sibs" id="ABBRID0EQWAG">HS</abbrev>); RO_UA018 (<abbrev xlink:title="half-sibs" id="ABBRID0EUWAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; along; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA016</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A25 (2017)</td>
                <td rowspan="1" colspan="1">H7</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA008 (<abbrev xlink:title="half-sibs" id="ABBRID0EPXAG">HS</abbrev>); RO_UA014 (<abbrev xlink:title="half-sibs" id="ABBRID0ETXAG">HS</abbrev>); RO_UA017 (<abbrev xlink:title="parent-offspring" id="ABBRID0EXXAG">PO</abbrev>)</td>
                <td rowspan="1" colspan="1">across; along; none (same hair trap)</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA017</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A25 (2017)</td>
                <td rowspan="1" colspan="1">H7</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA016 (<abbrev xlink:title="parent-offspring" id="ABBRID0ESYAG">PO</abbrev>); RO_UA018 (<abbrev xlink:title="half-sibs" id="ABBRID0EWYAG">HS</abbrev>); RO_UA019 (<abbrev xlink:title="half-sibs" id="ABBRID0E1YAG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">none (same hair trap); along; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA018</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">A16 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA002 (<abbrev xlink:title="half-sibs" id="ABBRID0EVZAG">HS</abbrev>); RO_UA014 (<abbrev xlink:title="half-sibs" id="ABBRID0EZZAG">HS</abbrev>); RO_UA015 (<abbrev xlink:title="half-sibs" id="ABBRID0E4ZAG">HS</abbrev>); RO_UA017 (<abbrev xlink:title="half-sibs" id="ABBRID0EB1AG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; along; along; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA019</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">B17 (2017)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA006 (<abbrev xlink:title="half-sibs" id="ABBRID0E31AG">HS</abbrev>); RO_UA008 (<abbrev xlink:title="half-sibs" id="ABBRID0EA2AG">HS</abbrev>); RO_UA009 (<abbrev xlink:title="half-sibs" id="ABBRID0EE2AG">HS</abbrev>); RO_UA017 (<abbrev xlink:title="half-sibs" id="ABBRID0EI2AG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; along; along; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA020</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A19 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA007 (<abbrev xlink:title="full-sibs" id="ABBRID0ED3AG">FS</abbrev>); RO_UA021 (<abbrev xlink:title="half-sibs" id="ABBRID0EH3AG">HS</abbrev>); RO_UA024 (<abbrev xlink:title="half-sibs" id="ABBRID0EL3AG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">across; across; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA021</td>
                <td rowspan="1" colspan="1">?</td>
                <td rowspan="1" colspan="1">B19 (2017)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA002 (<abbrev xlink:title="half-sibs" id="ABBRID0EG4AG">HS</abbrev>); RO_UA020 (<abbrev xlink:title="half-sibs" id="ABBRID0EK4AG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">across; across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA022</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">A04 (2020)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA001 (<abbrev xlink:title="half-sibs" id="ABBRID0EF5AG">HS</abbrev>); RO_UA003 (<abbrev xlink:title="half-sibs" id="ABBRID0EJ5AG">HS</abbrev>); RO_UA012 (<abbrev xlink:title="half-sibs" id="ABBRID0EN5AG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along; along; along</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA023</td>
                <td rowspan="1" colspan="1">?</td>
                <td rowspan="1" colspan="1">A06 (2020)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">–</td>
                <td rowspan="1" colspan="1">–</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA024</td>
                <td rowspan="1" colspan="1">♂</td>
                <td rowspan="1" colspan="1">B06 (2020)</td>
                <td rowspan="1" colspan="1">BG1</td>
                <td rowspan="1" colspan="1">west</td>
                <td rowspan="1" colspan="1">RO_UA020 (<abbrev xlink:title="half-sibs" id="ABBRID0E56AG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">across</td>
              </tr>
              <tr>
                <td rowspan="1" colspan="1">RO_UA025</td>
                <td rowspan="1" colspan="1">♀</td>
                <td rowspan="1" colspan="1">B17 (2020)</td>
                <td rowspan="1" colspan="1">Ro2</td>
                <td rowspan="1" colspan="1">east</td>
                <td rowspan="1" colspan="1">RO_UA005 (<abbrev xlink:title="half-sibs" id="ABBRID0EZABG">HS</abbrev>)</td>
                <td rowspan="1" colspan="1">along</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec sec-type="﻿Discussion" id="SECID0EABBG">
      <title>﻿Discussion</title>
      <p>Using non-invasive repeat survey methodology, we assessed the distribution and documented the minimum local population size of brown bears along a planned highway route in Romania, as part of an effort to collect information before highway construction. We detected bears at 21 sampling stations along the planned highway route, but with a more restricted distribution than expected and a concentration of presence in the western part of the study area. Our study did not succeed in producing direct evidence of bears crossing the planned highway route (e.g. same individual detected by hair traps on both sides of the future highway). Nevertheless, we provide genetic evidence that the population uses both sides of the planned development, including the detection of related animals on both sides of the highway route.</p>
      <p>We found a positive association between bear occurrence and terrain ruggedness. When confronted with human disturbance, such as in human-dominated landscapes of Europe, bears may select rugged terrain (<xref ref-type="bibr" rid="B62">Martin et al. 2010</xref>; <xref ref-type="bibr" rid="B23">Dorresteijn et al. 2014</xref>; <xref ref-type="bibr" rid="B102">Roellig et al. 2014</xref>). Rugged terrain limits human access and provides secure habitat, minimising the risk of human-bear encounters and of human-induced bear mortalities (<xref ref-type="bibr" rid="B73">Nielsen et al. 2004b</xref>). With decreasing distance to human settlements, the use of increasingly rugged terrain has also been documented in the case of denning bears (<xref ref-type="bibr" rid="B107">Sahlén et al. 2011</xref>).</p>
      <p>Most hair traps that detected bears were close (&lt; 1 km) to human settlements (mean ± SD distance of all hair traps to human settlements was 1.35 ± 1.33 km). Mountainous villages in Romania commonly comprise solitary houses or small groups of homesteads, which are often not recorded as part of settlements in Corine Land Cover (i.e. discontinuous urban fabric). Thus, some hair traps that registered bears were even closer to buildings than revealed by the land-cover layer. Our results are in accordance with previous studies reporting that in Romania bears regularly use human-dominated landscapes and in general habitats in the proximity of human settlements (<xref ref-type="bibr" rid="B23">Dorresteijn et al. 2014</xref>; <xref ref-type="bibr" rid="B102">Roellig et al. 2014</xref>; <xref ref-type="bibr" rid="B5">Borka-Vitális et al. 2017</xref>), without necessarily coming into conflict with humans. After investigating the mechanisms underlying the occurrence of bears near settlements, <xref ref-type="bibr" rid="B25">Elfström et al. (2014)</xref> concluded that bears approaching settlements display a natural behaviour, best explained through avoidance of intraspecific aggression and/or interference competition. This adaptive behaviour is shaped by the despotic distribution of conspecifics more than by naivety, food conditioning or human habituation. In despotic distribution, dominant individuals exploit high quality habitats more often than subordinate conspecifics, whereas subordinate bears seem to fear dominant conspecifics more than they fear people. We can confirm that during the extended periods of fieldwork in the area, despite frequent interactions with locals, we have never heard complaints about habituated/nuisance bears, although this can be an issue elsewhere (<xref ref-type="bibr" rid="B18">Cristescu et al. 2016</xref>). When close to human settlements or human activity, bears may adjust their behaviour to avoid encounters with people (<xref ref-type="bibr" rid="B78">Ordiz et al. 2011</xref>), being most active at crepuscular or nocturnal hours to avoid overlap with human diel activity patterns (<xref ref-type="bibr" rid="B47">Kaczensky et al. 2006</xref>; <xref ref-type="bibr" rid="B62">Martin et al. 2010</xref>; <xref ref-type="bibr" rid="B110">Schwartz et al. 2010</xref>; <xref ref-type="bibr" rid="B80">Ordiz et al. 2014</xref>; <xref ref-type="bibr" rid="B77">Oberosler et al. 2017</xref>). Habitat selection may also vary with time of day and season according to risks associated with people, with bears near settlements selecting steep slopes and highly concealed resting sites during daylight hours (<xref ref-type="bibr" rid="B62">Martin et al. 2010</xref>; <xref ref-type="bibr" rid="B78">Ordiz et al. 2011</xref>; <xref ref-type="bibr" rid="B17">Cristescu et al. 2013</xref>; <xref ref-type="bibr" rid="B115">Skuban et al. 2018</xref>).</p>
      <p>
        Longitude of the hair trap location was a good predictor of bear presence, with westernmost hair traps more successful. One possible explanation for this pattern is habitat fragmentation of the region in the west–east direction by Lake Bicaz due to its large size, as well as numerous contiguous settlements around it. However, poaching with firearms is also an issue of concern around the Lake and in the region east of it (Anonymous, Harghita County Police Inspectorate, Miercurea Ciuc, Romania, personal communication 2015, 2016). As these are some of the best bear habitats in Romania (<xref ref-type="bibr" rid="B88">Pop et al. 2018</xref>; <xref ref-type="bibr" rid="B19">Cristescu et al. 2019</xref>), widespread poaching can transform them into ecological traps for bears (e.g. attractive habitats with high mortality risk; <xref ref-type="bibr" rid="B109">Schlaepfer et al. 2002</xref>), also affecting bears originating from other source areas (<xref ref-type="bibr" rid="B101">Robertson and Hutto 2006</xref>; <xref ref-type="bibr" rid="B57">Lamb et al. 2017</xref>). While it is possible that some bear individuals may avoid areas with high poaching risk as an evolutionarily adaptive response to fear of humans (<xref ref-type="bibr" rid="B79">Ordiz et al. 2013</xref>), in general, poaching is an activity that may be difficult to predict and adapt to and could impact bear populations substantially (<xref ref-type="bibr" rid="B48">Kaczensky et al. 2011</xref>).</p>
      <p>The habitat types in which the hair traps were mounted did not influence the success rate of collecting bear hair samples. In Romania, during summer when our surveys were conducted, female bears typically select mixed forests, whereas males select all three forest types: deciduous, mixed and conifer (<xref ref-type="bibr" rid="B88">Pop et al. 2018</xref>). Pastures are important feeding grounds for brown bears during the same period mainly because of the availability of ants (<xref ref-type="bibr" rid="B23">Dorresteijn et al. 2014</xref>), an important food source for the species (<xref ref-type="bibr" rid="B119">Swenson et al. 1999</xref>; <xref ref-type="bibr" rid="B41">Große et al. 2003</xref>; <xref ref-type="bibr" rid="B102">Roellig et al. 2014</xref>).</p>
      <p>Although we identified 24 distinct bear individuals in the three surveys, we expected to detect a larger number of individuals. A possible reason is the close proximity of sampling stations to human settlements, which can act as a filter for the bear population, selecting for subordinate individuals or demographics of age or reproductive classes that are more tolerant towards human presence and/or actively avoid larger/more aggressive conspecifics. <xref ref-type="bibr" rid="B70">Nellemann et al. (2007)</xref> found that 52% of bears in the wider surroundings of settlements in Sweden were subadults of both sexes, with only 8% of adult males present in the &lt; 10 km radius of larger settlements and resorts. While the techniques used in this study did not allow us to differentiate between age classes of bears that we sampled, we know that at least some of the detected bears were adults, as confirmed by four documented <abbrev xlink:title="parent-offspring" id="ABBRID0EZFBG">PO</abbrev> relationships.</p>
      <p><xref ref-type="bibr" rid="B92">Proctor et al. (2012)</xref> demonstrated that mortality associated with settlements has been a major force impacting bear populations and connectivity in western Canada, the northern United States and southeast Alaska. In our study system, we documented gene flow through <abbrev xlink:title="parent-offspring" id="ABBRID0EDGBG">PO</abbrev>, <abbrev xlink:title="full-sibs" id="ABBRID0EHGBG">FS</abbrev> and <abbrev xlink:title="half-sibs" id="ABBRID0ELGBG">HS</abbrev> relationships, both on the north–south and west–east axis and across the existing network of settlements. On the west–east axis (e.g. along the planned highway route), with the exception of some human settlement barriers near Lake Bicaz, bear movements are mostly unobstructed by human habitation, at least parallel with the planned highway route. However, because of often contiguous settlements spread along valleys stretching from west to east, bear movements on the north–south axis (e.g. across the planned highway route) are likely already limited and possibly restricted to the remaining undeveloped areas. Tunnels, viaducts and bridges that are planned for highway development could help maintain some of the remaining functional connectivity for bears and other wildlife, especially because these structures will be relatively close to each other (mean distance between structures 326.2 m (range 20–2,072 m); Silvia Borlea, EPC Environmental Consulting, Bucharest, Romania, personal communication 2023). The mean length of the planned tunnels is 188 m (range 16–940 m), while the mean Openness Index (width × height / length of the structure) of the selected viaducts and bridges is 120.6 (range 4.4–853.9). The most significant linkage areas on the north–south axis are situated between villages, such as Ditrău and Hagota (12 km), Hagota and Recea (4 km) and Petru Vodă and Pluton (4.8 km). The latter area, however, is situated east of Lake Bicaz and our study did not document bear presence in its surroundings.</p>
      <p>Widespread, cryptic poaching could have contributed to relatively low bear detection rates in our study. Due to low densities and slow reproductive rates, large carnivores are especially vulnerable to poaching and previous studies have documented substantial effects of illegal killings on large carnivore demography (<xref ref-type="bibr" rid="B54">Kruckenhauser et al. 2009</xref>; <xref ref-type="bibr" rid="B58">Liberg et al. 2012</xref>; <xref ref-type="bibr" rid="B86">Persson et al. 2015</xref>; <xref ref-type="bibr" rid="B9">Červený et al. 2019</xref>; <xref ref-type="bibr" rid="B4">Benson et al. 2023</xref>). Additionally, the timing of our surveys might have also influenced bear detection rates, with part of the bear population moving during the summer to richer feeding grounds situated at lower altitudes, either to the west or to the east from the surveyed area. This pattern of significant seasonal movements of at least part of the population has been observed in another area of the Romanian Eastern Carpathians (Domokos, unpublished data) and other regions (<xref ref-type="bibr" rid="B16">Cozzi et al. 2016</xref>; <xref ref-type="bibr" rid="B21">De Angelis et al. 2021</xref>). The timing of our surveys might have influenced bear detection rates in other ways too. While our surveys took place during summer, bears are more likely to respond to scent lures in spring (<xref ref-type="bibr" rid="B36">Gervasi et al. 2008</xref>). <xref ref-type="bibr" rid="B56">Lamb et al. (2016)</xref> found that starting hair trapping at lure-scented sites towards the end of the mating season (which corresponds to early June in Romania) maximises female detections, while starting early in the mating season (late April - early May in Romania) maximises male detections. Another potential limitation of our survey design could have been the fact that scent lures do not offer a reward to the visiting bear, which might thus become trap-wise and lose interest in revisiting the site or visiting other hair-trap locations.</p>
      <p>Even if we were unable to determine the sex of three of the 24 individual bears we identified, the data are indicative of a large population segment of females (1:1.3 [male:female]). This is comparable to the 1:1.6 sex ratio estimated for the Romanian Southern Carpathians (<xref ref-type="bibr" rid="B113">Skrbinšek et al. 2019</xref>) or to the 1:1.5 documented in Slovenia and 1:1.4 in Croatia (<xref ref-type="bibr" rid="B112">Skrbinšek et al. 2017</xref>). Prior to a ban introduced in October 2016, bear trophy hunting was a common, decades-old practice in Romania (<xref ref-type="bibr" rid="B108">Salvatori et al. 2002</xref>; <xref ref-type="bibr" rid="B90">Popescu et al. 2019</xref>). With male-biased hunting, a sex ratio skewed in favour of females is to be expected.</p>
      <p>We showed that domestic dogs are present throughout the region, at least during the summer. The frequent detection of dogs at the hair traps is likely due to the presence of large numbers of guardian dogs accompanying livestock, stray dogs or dogs associated with human settlements. A similar finding was recorded in a study of wolf diet which revealed the importance of dogs in the diet of wolves in the south-eastern Carpathian Mountains (<xref ref-type="bibr" rid="B111">Sin et al. 2019</xref>). Although their benefits for protecting livestock from carnivore attacks have been demonstrated (<xref ref-type="bibr" rid="B116">Smith et al. 2000</xref>; <xref ref-type="bibr" rid="B127">van Eeden et al. 2018</xref>), domestic dogs can have negative impacts on wildlife when not under human supervision (<xref ref-type="bibr" rid="B91">Potgieter et al. 2016</xref>; <xref ref-type="bibr" rid="B132">Wierzbowska et al. 2016</xref>; <xref ref-type="bibr" rid="B24">Drouilly et al. 2020</xref>). If dogs as a depredation mitigation strategy are adequately applied, they can be an effective strategy for livestock protection (<xref ref-type="bibr" rid="B127">van Eeden et al. 2018</xref>), but may enable disease transmission at the wildlife-domestic animal interface (<xref ref-type="bibr" rid="B5">Borka-Vitális et al. 2017</xref>). Bears are susceptible to a number of pathogens of domestic dogs, such as canine distemper virus (<abbrev xlink:title="canine distemper virus" id="ABBRID0EJJBG">CDV</abbrev>, the etiological agent of distemper; <xref ref-type="bibr" rid="B22">Di Francesco et al. 2015</xref>; <xref ref-type="bibr" rid="B129">Vitásková et al. 2019</xref>; <xref ref-type="bibr" rid="B1">Balseiro et al. 2024</xref>), canine parvovirus type 2 (<abbrev xlink:title="canine parvovirus type 2" id="ABBRID0EZJBG">CPV-2</abbrev>; <xref ref-type="bibr" rid="B22">Di Francesco et al. 2015</xref>; <xref ref-type="bibr" rid="B129">Vitásková et al. 2019</xref>) and canine adenovirus type-1 (<abbrev xlink:title="canine adenovirus type-1" id="ABBRID0EFKBG">CAdV-1</abbrev>, the etiological agent of infectious canine hepatitis; <xref ref-type="bibr" rid="B35">García Marín et al. 2018</xref>; <xref ref-type="bibr" rid="B1">Balseiro et al. 2024</xref>). Measures to decrease the risk of disease transmission between domestic dogs and bears and between livestock and wildlife in general should be incorporated into decision-making programmes for livestock husbandry under free-ranging conditions.</p>
      <p>We also genetically confirmed the presence of unidentified <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Canis">Canis</tp:taxon-name-part></tp:taxon-name></italic> sp. (either dogs or wolves) in several locations. There is a possibility that at least some of these samples originated from wolves, in particular, the ones identified as haplotype w4, which occasionally occurs in dogs, but is commonly found in Romanian wolves (<xref ref-type="bibr" rid="B44">Jarausch et al. 2023</xref>). We did document wolf scats and a partially consumed livestock guardian dog in the area in spring 2015. However, our evidence indicate that most unidentified <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Canis">Canis</tp:taxon-name-part></tp:taxon-name></italic> sp. samples originated from dogs. Firstly, we confirmed the presence of dogs (either through visual inspection or genetic analysis of hair samples) at the majority of locations where unidentified <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Canis">Canis</tp:taxon-name-part></tp:taxon-name></italic> sp. samples were collected. Secondly, we collected samples later confirmed as originating from unidentified <italic><tp:taxon-name><tp:taxon-name-part taxon-name-part-type="genus" reg="Canis">Canis</tp:taxon-name-part></tp:taxon-name></italic> sp. due to their resemblance to bear hair. These samples consisted of long, dark-coloured, undulating, soft guard hairs, which are also characteristic of dark-coloured, large bodied, mixed breed livestock guardian dogs. Dark-coloured dogs are traditionally used in the area, although less commonly than light-coloured animals, as shepherds appear to gradually replace mixed breed dogs with purpose-bred shepherd breeds such as Caucasian, Central Asian or Anatolian.</p>
    </sec>
    <sec sec-type="﻿Conclusions" id="SECID0ETLBG">
      <title>﻿Conclusions</title>
      <p>Connectivity on the north-south axis is relatively limited in the study area due to existing human settlements. Completion of the A8 highway could potentially further impede bear movements in important bear habitats centrally located in the Romanian Eastern Carpathians and their foothills. This area provides a vital link to other national-level populations located further North, including Ukraine, Slovakia and Poland (<xref ref-type="bibr" rid="B118">Straka et al. 2012</xref>). Together, these national populations form the vast majority of the transboundary Carpathian bear population, completed by a small population in eastern Serbia (<xref ref-type="bibr" rid="B49">Kaczensky et al. 2013</xref>; <xref ref-type="bibr" rid="B10">Chapron et al. 2014</xref>). Preserving and enhancing functional connectivity within the Carpathian bear population (<xref ref-type="bibr" rid="B63">Matosiuk et al. 2019</xref>; <xref ref-type="bibr" rid="B84">Papp et al. 2022</xref>), including maintaining permeability of Romania’s Eastern Carpathians is of crucial importance (<xref ref-type="bibr" rid="B28">Fedorca et al. 2019</xref>). In this respect, dedicated wildlife crossing structures could have been planned by the responsible authorities during the pre-construction phase of the highway, based on the best available information concerning bear presence and movement in the area. Given the decisions already made through the environmental permit, we recommend permeability studies post-completion of the A8 highway section, with a particular focus in the area of the potential crossing structures associated with highway development as imposed by topography; and after bears have had the time to explore and start using them. If the structural features of the highway meant to bypass topographical challenges prove insufficient for wildlife connectivity, dedicated wildlife crossing structures (e.g. wide overpasses, <xref ref-type="bibr" rid="B30">Ford et al. 2017</xref>) might be required, even though their construction costs would be much higher at that stage. To maximise their effectiveness, these should be located in the vicinity of the still undeveloped areas identified in this study. Permanent development should be limited as movement is somewhat constricted already by the high density of human settlements, although for the time being i.e. before highway construction bear population connectivity is not yet fully curtailed. In parallel with maintaining habitat connectivity, the issues of poaching and dogs in the wild should be addressed by wildlife managers and law enforcement authorities.</p>
    </sec>
  </body>
  <back>
    <ack>
      <title>﻿Acknowledgements</title>
      <p>We express our gratitude to all who assisted us during fieldwork, namely Ágoston Pál, Károly Illyés, Károly Pál (professional gamekeepers), Ulysse Faure, Attila Marton and Sándor Olivér Murányi. We thank Berardino Cocchiararo and the lab team at the Senckenberg Centre for Wildlife Genetics for genetic analysis and Gregor Rolshausen (Senckenberg) for assistance in error rate calculation. Gábor Bóné assisted in the preparation of datasets for modelling, while Tibor Sós helped in the finalisation of maps. We thank Cristian-Remus Papp and two anonymous reviewers for constructive feedback that greatly enhanced the quality of the manuscript. The study occurred in the framework of Milvus Group’s Brown bear conservation and research programme in a model area in Romania.</p>
    </ack>
    <sec sec-type="﻿Additional information" id="SECID0EZMBG">
      <title>﻿Additional information</title>
      <sec sec-type="Conflict of interest" id="SECID0E4MBG">
        <title>Conflict of interest</title>
        <p>The authors have declared that no competing interests exist.</p>
      </sec>
      <sec sec-type="Ethical statement" id="SECID0ECNBG">
        <title>Ethical statement</title>
        <p>No ethical statement was reported.</p>
      </sec>
      <sec sec-type="Funding" id="SECID0EHNBG">
        <title>Funding</title>
        <p>This long-term initiative has received financial support from Aktionsgemeinschaft Artenschutz (Germany), Bears in Mind (the Netherlands), Bernd Thies Foundation (Switzerland), Columbus Zoo and Aquarium (United States), EuroNatur (Germany), Fresno Chaffe Zoo (United States), Stichting Wildlife (the Netherlands) and Stiftung für Bären (Germany).</p>
      </sec>
      <sec sec-type="Author contributions" id="SECID0EMNBG">
        <title>Author contributions</title>
        <p>B. Cristescu and C. Domokos conceived and designed the study. C. Domokos collected the data. S. Collet and C. Nowak analyzed the genetic data. B. Cristescu and C. Domokos analyzed the occurrence data. C. Domokos led the writing of the manuscript. All authors contributed critically to drafts and approved the final draft.</p>
      </sec>
      <sec sec-type="Author ORCIDs" id="SECID0ERNBG">
        <title>Author ORCIDs</title>
        <p>Csaba Domokos <ext-link xlink:href="https://orcid.org/0000-0002-9973-7779" ext-link-type="uri" xlink:type="simple">https://orcid.org/0000-0002-9973-7779</ext-link></p>
        <p>Sebastian Collet <ext-link xlink:href="https://orcid.org/0000-0002-7309-5448" ext-link-type="uri" xlink:type="simple">https://orcid.org/0000-0002-7309-5448</ext-link></p>
        <p>Carsten Nowak <ext-link xlink:href="https://orcid.org/0000-0002-3139-1951" ext-link-type="uri" xlink:type="simple">https://orcid.org/0000-0002-3139-1951</ext-link></p>
        <p>Ferenc Jánoska <ext-link xlink:href="https://orcid.org/0000-0002-6200-0829" ext-link-type="uri" xlink:type="simple">https://orcid.org/0000-0002-6200-0829</ext-link></p>
        <p>Bogdan Cristescu <ext-link xlink:href="https://orcid.org/0000-0003-2964-5040" ext-link-type="uri" xlink:type="simple">https://orcid.org/0000-0003-2964-5040</ext-link></p>
      </sec>
      <sec sec-type="Data availability" id="SECID0ETOBG">
        <title>Data availability</title>
        <p>All of the data that support the findings of this study are available in the main text.</p>
      </sec>
    </sec>
    <ref-list>
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