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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">land</journal-id>
      <journal-title>Land</journal-title>
      <abbrev-journal-title abbrev-type="publisher">Land</abbrev-journal-title>
      <abbrev-journal-title abbrev-type="pubmed">Land</abbrev-journal-title>
      <issn pub-type="epub">2073-445X</issn>
      <publisher>
        <publisher-name>MDPI</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3390/land2010020</article-id>
      <article-id pub-id-type="publisher-id">land-02-00020</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>The Effectiveness of Conservation Reserves: Land Tenure Impacts upon Biodiversity across extensive Natural Landscapes in the Tropical Savannahs of the Northern Territory, Australia</article-title>
      </title-group>
     
      <contrib-group>
        <contrib contrib-type="author">
          <name>
            <surname>Woinarski</surname>
            <given-names>John C.Z.</given-names>
          </name>
          <xref rid="af1-land-02-00020" ref-type="aff">1</xref>
          <xref rid="af2-land-02-00020" ref-type="aff">2</xref>
          <xref rid="c1-land-02-00020" ref-type="corresp">*</xref>
          <xref rid="fn1-land-02-00020" ref-type="fn">†</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Green</surname>
            <given-names>Jon</given-names>
          </name>
          <xref rid="af1-land-02-00020" ref-type="aff">1</xref>
          <xref rid="fn2-land-02-00020" ref-type="fn">‡</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Fisher</surname>
            <given-names>Alaric</given-names>
          </name>
          <xref rid="af1-land-02-00020" ref-type="aff">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Ensbey</surname>
            <given-names>Michelle</given-names>
          </name>
          <xref rid="af1-land-02-00020" ref-type="aff">1</xref>
          <xref rid="fn3-land-02-00020" ref-type="fn">§</xref>
        </contrib>
        <contrib contrib-type="author">
          <name>
            <surname>Mackey</surname>
            <given-names>Brendan</given-names>
          </name>
          <xref rid="af2-land-02-00020" ref-type="aff">2</xref>
          <xref rid="fn4-land-02-00020" ref-type="fn">||</xref>
        </contrib>
      </contrib-group>
       <aff id="af1-land-02-00020"><label>1 </label>Department of Land Resource Management, PO Box 496, Palmerston, NT 0831, Australia; E-Mails: <email>Jonathan.Green@ebsecology.com.au</email> (J.G.); <email>alaric.fisher@nt.gov.au</email> (A.F.); <email>miki_ensbey@email.com</email> (M.E.); <email>b.mackey@griffith.edu.au</email> (B.M.)</aff>
      <aff id="af2-land-02-00020"><label>2 </label>The ANU WildCountry Research and Policy Hub, FSES/College of Science, The Australian National University, Building 48, Canberra, ACT 0200, Australia </aff>
      <author-notes>
        <fn id="fn1-land-02-00020">
          <label>† </label>
          <p>Current Address: North Australian Hub, National Environmental Research Program, Charles Darwin University, Darwin, NT 0810, Australia.</p>
        </fn>
        <fn id="fn2-land-02-00020">
          <label>‡ </label>
          <p>Current Address: EBS Ecology, 3/107 Hayward Avenue, Torrensville, SA 5031, Australia.</p>
        </fn>
        <fn id="fn3-land-02-00020">
          <label>§ </label>
          <p>Current Address: 6 Gray Street, Jingili, NT 0810, Australia.</p>
        </fn>
        <fn id="fn4-land-02-00020">
          <label>|| </label>
          <p>Current Address: Griffith University, Gold Coast Campus, Southport, QLD 4222, Australia.</p>
        </fn>
        <corresp id="c1-land-02-00020"><label>*</label> Author  to whom correspondence should be addressed; E-Mail: <email>john.woinarski@cdu.edu.au</email>; Tel:  +61-8-9164-7905. </corresp>
      </author-notes>
      <pub-date pub-type="epub">
        <day>22</day>
        <month>01</month>
        <year>2013</year>
      </pub-date>
      <pub-date pub-type="collection"><month>03</month>
        <year>2013</year>
      </pub-date>
      <volume>2</volume>
      <issue>1</issue>
      <fpage>20</fpage>
      <lpage>36</lpage>
      <history>
        <date date-type="received">
          <day>27</day>
          <month>11</month>
          <year>2012</year>
        </date>
        <date date-type="rev-recd">
          <day>08</day>
          <month>01</month>
          <year>2013</year>
        </date>
        <date date-type="accepted">
          <day>09</day>
          <month>01</month>
          <year>2013</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>©  2013 by the authors; licensee MDPI, Basel, Switzerland.</copyright-statement>
        <copyright-year>2013</copyright-year>
        <license xmlns:xlink="http://www.w3.org/1999/xlink" license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0/">
          <p>This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).</p>
        </license>
      </permissions>
      <abstract>
        <p>This study examines whether there is a biodiversity benefit (“dividend”) associated with the existence and management of conservation reserves in the extensive and largely natural landscape of northern Australia. Species richness and abundance of vertebrate fauna and the intensity of a range of disturbance factors were compared across a set of 967 sampled quadrats, located either in pastoral lands, Indigenous lands or conservation reserves, with all sampled quadrats within a single vegetation type (open forests and savannah woodlands dominated by <italic>Eucalyptus miniata</italic> and/or <italic>E. tetrodonta</italic>). The relationships with land tenure varied between major taxonomic groups, but generally (and particularly for threatened species) values were highest for conservation reserves. This “biodiversity dividend” associated with conservation reserves is considered to be due to the effects of management rather than because conservation reserves were established on lands supporting atypically high conservation values. The impact of weeds and (unsurprisingly) livestock was greatest on pastoral lands, and pig impact was greatest in conservation reserves. Although pastoral and Indigenous lands supported lower biodiversity tallies than reserved lands, the conservation values of reserved lands in this region are probably substantially supported by the maintenance of relatively intact ecological systems across all lands.</p>
      </abstract>
      <kwd-group>
        <kwd>Indigenous land management</kwd>
        <kwd>national park</kwd>
        <kwd>biodiversity</kwd>
        <kwd>fire</kwd>
        <kwd>pastoralism</kwd>
        <kwd>tropical savannah</kwd>
        <kwd>threatened species</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec sec-type="intro">
      <title>1. Introduction</title>
      <p>Across much of the world, land tenure markedly delineates and influences biodiversity conservation values, typically with residual intact biotic communities most persistent in conservation reserves, whereas lands of contrasting use and tenure have biotic communities of substantially modified composition. In much-transformed landscapes, biodiversity conservation may be largely dependent upon the network of conservation reserves [<xref ref-type="bibr" rid="B1-land-02-00020">1</xref>]. In landscapes characterised by far less transformation, such as much of the world’s tropical savannahs, other land tenure types may make a contribution to biodiversity conservation that more nearly equals (and/or provides a necessary buffer and complement to) that provided by conservation reserves. Notwithstanding their recognised or assumed significance for biodiversity conservation and some obligation to demonstrate that reserve management investments produce conservation outcomes, there has been relatively little systematic consideration of the effectiveness of reserves compared with lands of other tenures [<xref ref-type="bibr" rid="B2-land-02-00020">2</xref>,<xref ref-type="bibr" rid="B3-land-02-00020">3</xref>,<xref ref-type="bibr" rid="B4-land-02-00020">4</xref>,<xref ref-type="bibr" rid="B5-land-02-00020">5</xref>,<xref ref-type="bibr" rid="B6-land-02-00020">6</xref>]. </p>
      <p>Northern Australia provides an example of an extensive largely intact landscape (&lt;5% cleared or significantly transformed) [<xref ref-type="bibr" rid="B7-land-02-00020">7</xref>], managed under a range of land tenures, particularly low-intensity pastoralism (comprising 75% of the total land area), Indigenous lands (15%) and conservation reserves (6%), all characterised by general retention of native vegetation [<xref ref-type="bibr" rid="B8-land-02-00020">8</xref>]. Unsurprisingly, given the relatively minor levels of modification of their lands, some landholder groups have asserted that their management provides good conservation outcomes and, hence, that there is little need for further reservation. Indeed, the maintenance of biodiversity is an explicit condition of the regulation of the pastoral industry in the Northern Territory, Australia. With respect to Indigenous lands, it has been asserted that traditional management practices are likely to be particularly effective for the maintenance of biodiversity [<xref ref-type="bibr" rid="B9-land-02-00020">9</xref>]. This latter claim has fuelled substantial development of policies and practice that equate biodiversity conservation with Indigenous land management and its resourcing [<xref ref-type="bibr" rid="B10-land-02-00020">10</xref>,<xref ref-type="bibr" rid="B11-land-02-00020">11</xref>,<xref ref-type="bibr" rid="B12-land-02-00020">12</xref>] and the recent development of Indigenous Protected Areas as significant components of Australia’s national reserve system [<xref ref-type="bibr" rid="B13-land-02-00020">13</xref>,<xref ref-type="bibr" rid="B14-land-02-00020">14</xref>]. However, the most substantial supportive study [<xref ref-type="bibr" rid="B9-land-02-00020">9</xref>] may be an insecure basis for such a claim, given that it focused on one relatively small area and lacked controlled comparison with lands subjected to contrasting management.</p>
      <p>Here, we undertake a systematic and very substantial assessment of vertebrate biodiversity in different land tenure types across an extensive area (<italic>ca</italic>. 300,000 km<sup>2</sup>) of the monsoonal tropics of the Northern Territory. To focus the assessment particularly on land tenure and its related management and reduce extraneous environmental variability, we restrict the survey and analysis to one vegetation type, forests dominated by <italic>Eucalyptus miniata</italic> and/or <italic>E. tetrodonta</italic>. This forest type is the characteristic vegetation across much of northern Australia, with a total area of about 450,000 km<sup>2</sup> [<xref ref-type="bibr" rid="B7-land-02-00020">7</xref>]. Our objective is to compare, between different land tenure types, the biodiversity (and also the intensity of possible threatening factors) across lands supporting this vegetation type.</p>
      <p>The land tenure types we consider are pastoral lands, Indigenous lands and conservation reserves. We recognise that in this region, as elsewhere, there may not be a close match between land tenure and the intensity and form of management. However, in this region, conservation reserves are typically managed to reduce the incidence of feral animals (principally pigs <italic>Sus scrofa</italic>, cattle <italic>Bos indicus</italic> and water buffalo <italic>Bubalus bubalis</italic>) and weeds and to manage fire regimes in a manner that aims to reduce the incidence of high intensity uncontrolled late dry season fire [<xref ref-type="bibr" rid="B15-land-02-00020">15</xref>]. Pastoral lands are managed with extensive (typical property sizes 1,000 to 10,000 km<sup>2</sup>), but typically low-intensity (stocking rates typically &lt;20 cattle/km<sup>2</sup>) ranching for beef cattle, with occasional areas of more intensified manipulation (some clearing and planting of exotic pasture grasses, but little or no additions of nutrients). The management of Indigenous lands varies along a gradient from traditional intensive manipulation of fire to absence of any management (largely due to depopulation or abandonment). Note that in this region, some conservation reserves are Aboriginal lands now jointly managed; these were treated here as conservation reserves.</p>
      <p>A related broad-based assessment of land tenure impacts upon biodiversity and environmental management in this region was undertaken recently [<xref ref-type="bibr" rid="B16-land-02-00020">16</xref>]. The current study differs from that work in that our study is (purposefully) restricted to one vegetation type, provides a direct survey-based assessment of faunal biodiversity and relates disturbance measures and biodiversity assessed together for a large set of individual quadrats.</p>
      <p>We note that two other study designs may provide more incisive assessments of the efficacy of conservation reserves—matched cross-fence comparisons of contrasting land tenure (or management) types (e.g., [<xref ref-type="bibr" rid="B17-land-02-00020">17</xref>]) and controlled time-series studies that seek to measure divergence in conservation values between a recently-established conservation reserve and a nearby unreserved area. Using the first approach, recent studies have demonstrated significant differences between pastoral lands and ungrazed lands in the richness and composition of both their vertebrate and invertebrate faunas in forests of tropical north-eastern Australia [<xref ref-type="bibr" rid="B18-land-02-00020">18</xref>,<xref ref-type="bibr" rid="B19-land-02-00020">19</xref>], greater abundance of native mammals in conservation reserves compared with paired sites on pastoral lands in tropical north-eastern Australia [<xref ref-type="bibr" rid="B20-land-02-00020">20</xref>] and significant divergence in vegetation and vertebrate faunas across adjacent sites of markedly contrasting fire history [<xref ref-type="bibr" rid="B21-land-02-00020">21</xref>]. In northern Australia, two recent studies have chronicled change over time in fauna assemblages following de-stocking (change from pastoral areas to conservation reserves), although the magnitude of the resulting increased abundance in native mammals varied appreciably between these two studies [<xref ref-type="bibr" rid="B22-land-02-00020">22</xref>,<xref ref-type="bibr" rid="B23-land-02-00020">23</xref>]. Furthermore, some monitoring studies have demonstrated responses over time of vegetation and vertebrates in relationship to management inputs on conservation lands [<xref ref-type="bibr" rid="B24-land-02-00020">24</xref>,<xref ref-type="bibr" rid="B25-land-02-00020">25</xref>,<xref ref-type="bibr" rid="B26-land-02-00020">26</xref>,<xref ref-type="bibr" rid="B27-land-02-00020">27</xref>].</p>
      <p>In contextualising this study, we note that our focus is solely on vertebrate fauna and that patterns may differ for other components of biodiversity. For example, there are now well-established demonstrations that some fire-sensitive plant species may prosper on lands subjected to some forms of traditional Aboriginal fire management, but decline in lands subjected to less intensive fire management [<xref ref-type="bibr" rid="B28-land-02-00020">28</xref>,<xref ref-type="bibr" rid="B29-land-02-00020">29</xref>,<xref ref-type="bibr" rid="B30-land-02-00020">30</xref>,<xref ref-type="bibr" rid="B31-land-02-00020">31</xref>,<xref ref-type="bibr" rid="B32-land-02-00020">32</xref>,<xref ref-type="bibr" rid="B33-land-02-00020">33</xref>,<xref ref-type="bibr" rid="B34-land-02-00020">34</xref>,<xref ref-type="bibr" rid="B35-land-02-00020">35</xref>,<xref ref-type="bibr" rid="B36-land-02-00020">36</xref>,<xref ref-type="bibr" rid="B37-land-02-00020">37</xref>]. We recognise the limitation in our ambit, but consider it a necessary counterpoint to the bulk of those previous related studies that have asserted the benefits to biodiversity of Indigenous management mainly using evidence from a restricted (but nonetheless important) set of fire-sensitive plant species. Furthermore, we consider that the inclusion here of birds, mammals, reptiles and frogs (totalling &gt;400 species) is likely to provide a relatively broad mix of ecologies and environmental responses to land tenure and management and, hence, a reasonably robust baseline for ecological generalizations.</p>
    </sec>
    <sec sec-type="methods">
      <title>2. Methods</title>
      <sec>
        <title>2.1. Sampling</title>
        <p>A consistent protocol for the survey of vertebrate fauna has been established in the Northern Territory over the period 1988 to the present [<xref ref-type="bibr" rid="B38-land-02-00020">38</xref>], during which more than 5,000 quadrats have been sampled. Over the course of this systematic sampling, the selection of locations of quadrats was generally related to providing regional inventory, rather than the consideration on which the present study focuses.</p>
        <p>Briefly, the sampling provides a measure of the abundance of frog, reptile, bird and mammal species over a 72 h period for a marked 50 m × 50 m quadrat (for mammals, reptiles and frogs), nestled within a 1 ha quadrat (for birds). For each individual species, the abundance measure was derived from live-trapping results (for frogs, reptiles and mammals; using 20 Elliott traps, four cage traps and two pitfall buckets) and timed searches (for birds—eight instantaneous counts; and for other taxa—three 10 min day-time searches and two 10 min spotlight searches at night).</p>
        <p>A set of environmental variables was recorded for every quadrat, including basal area for all woody plant species, rock cover and a five-class scale (from 0 (no apparent impact) to 5 (severe impact)) for each of a range of disturbance variables (including weeds, pigs, fire and livestock or feral stock): see [<xref ref-type="bibr" rid="B39-land-02-00020">39</xref>] for more details of scoring for these disturbance values. The average annual rainfall of every quadrat was estimated from modelled surfaces in ANUCLIM [<xref ref-type="bibr" rid="B40-land-02-00020">40</xref>].</p>
        <p>From the large collated data base of sampled quadrats, we selected all forest or woodland quadrats for which <italic>E. miniata </italic>and/or <italic>E. tetrodonta</italic> contributed at least 20% of the total woody basal area and which had not been grossly disturbed by clearing. This resulted in a selected set of 967 quadrats, widely spaced across the range of this forest type in the Northern Territory (<xref ref-type="fig" rid="land-02-00020-f001">Figure 1</xref>). The land tenure of each quadrat, at the time of sampling, was then identified by reference to cadastral mapping and information on land use and type recorded when sampled. The land tenure tallies of samples comprised 386 quadrats on Aboriginal lands, 487 on conservation reserves (including 14 different conservation reserves) and 94 on pastoral lands. Some (285) of these quadrats were on islands and, as such, location alone may influence biodiversity composition and conservation value [<xref ref-type="bibr" rid="B41-land-02-00020">41</xref>]; we repeated all analyses with these island quadrats excluded.</p>
       
        <p>Over the geographic and environmental range occupied by forests dominated by <italic>E. miniata</italic> and/or <italic>E. tetrodonta</italic>, fauna assemblages have previously been shown to vary with annual rainfall and rock cover [<xref ref-type="bibr" rid="B42-land-02-00020">42</xref>,<xref ref-type="bibr" rid="B43-land-02-00020">43</xref>,<xref ref-type="bibr" rid="B44-land-02-00020">44</xref>], and so these variables were explicitly considered within analyses (see below). In this region, fauna assemblages may also vary with soil texture [<xref ref-type="bibr" rid="B44-land-02-00020">44</xref>], but forests of <italic>E. miniata</italic> and/or <italic>E. tetrodonta</italic> grow on only a narrow range of textures (typically sandy-loams), so this variable was not considered in analysis. Given that our sampling spanned the period 1988-2008 and that this period coincided with a regional-scale decline in native mammals [<xref ref-type="bibr" rid="B45-land-02-00020">45</xref>], we also included year within modelling.</p>
        <p>For each quadrat, we tallied the species richness and total abundance of native frogs, reptiles, birds and mammals and the richness and total abundance of threatened species (as listed in [<xref ref-type="bibr" rid="B46-land-02-00020">46</xref>]). Because of difficulties in consistent sampling, we do not include bats within our mammal tallies.</p>
         <fig id="land-02-00020-f001" position="float">
          <label>Figure 1</label>
          <caption>
            <p>Location of study area, land tenure and sampled quadrats. The location of the Cadell River study of [<xref ref-type="bibr" rid="B9-land-02-00020">9</xref>] is indicated with a cross.</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-g001.tif"/>
        </fig>
      </sec>
      <sec>
        <title>2.2. Analysis</title>
        <p>We estimated the relationship between land tenure and biodiversity using generalised linear models [<xref ref-type="bibr" rid="B47-land-02-00020">47</xref>], where the species richness is modelled with a Poisson distribution. The count of species (y) observed was related to the covariates (x = land tenure, rainfall, rockiness, year), and we used this model to estimate coefficients (β- measures of effect) for n covariates:
        <disp-formula id="land-02-00020-i001">
<inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-i001.tif"/>
<label>(1)</label>
</disp-formula>
</p>
        <p>We conducted this Poisson regression in log space to limit the estimates to positive values.</p>
        <p>We conducted model averaging to parsimoniously estimate the effect of land tenure and other covariates (rock cover, rainfall and year), from the set of candidate models. Model averaging combines the coefficient estimates (<italic>β</italic>) according to their Akaike weight:
         <disp-formula id="land-02-00020-i002">
<inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-i002.tif"/>
<label>(2)</label>
</disp-formula>
 <disp-formula id="land-02-00020-i003">
<inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-i003.tif"/>
<label>(3)</label>
</disp-formula>
 <disp-formula id="land-02-00020-i004">
<inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-i004.tif"/>
<label>(4)</label>
</disp-formula>
 <disp-formula id="land-02-00020-i005">
<inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-i005.tif"/>
<label>(5)</label>
</disp-formula>
        where <italic>L</italic> is the likelihood of the model, <italic>k</italic> is the number of parameters, Δ<italic><sub>i</sub></italic> is the change in Akaike Information Criteria, <italic>w<sub>i</sub></italic> is the Akaike weight for the model <italic>i</italic> and <inline-graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-i006.tif"/> is the model averaged estimate for a set of <italic>R</italic> models [<xref ref-type="bibr" rid="B48-land-02-00020">48</xref>]. We conducted the Poisson regression, model averaging and predictions (except those previously mentioned) in program R [<xref ref-type="bibr" rid="B49-land-02-00020">49</xref>].</p>
        <p>We compared the level of disturbance recorded in quadrats of contrasting land tenure, using Kruskal-Wallis ANOVA, for impacts of fire, weeds, feral pigs and livestock (including feral and non-feral buffalo and cattle).</p>
      </sec>
    </sec>
    <sec sec-type="results">
      <title>3. Results: Impacts of Land Tenure and Other Variables</title>
      <sec>
        <title>3.1. Fauna</title>
        <p>For most of the fauna parameters considered, the model incorporating all four terms (rock cover, rainfall, land tenure and year) was overwhelmingly the best model (<xref ref-type="table" rid="land-02-00020-t001">Table 1</xref>). There were two exceptions. For reptile species richness, no single model was particularly good, but the best model included only the terms rock cover and land tenure. For richness of threatened species, the best model contained the terms rainfall, land tenure and year. The direction of relationships with rainfall, rock cover and year varied between vertebrate groupings, and these relationships are not considered further here. For all but two vertebrate groupings, the land tenure relationship was consistent, with the highest value in conservation reserves. The exceptions were for mammal richness and amphibian richness, both of which were marginally higher in pastoral lands than in conservation reserves (<xref ref-type="fig" rid="land-02-00020-f002">Figure 2</xref>).</p>
        <p>The exclusion of island quadrats did not change the terms included in any models or the direction of relationship or provide any substantial change in the explanatory power, and accordingly, the models excluding island quadrats are not presented here.</p>
        <table-wrap id="land-02-00020-t001" position="float">
          <object-id pub-id-type="pii">land-02-00020-t001_Table 1</object-id>
          <label>Table 1</label>
          <caption>
            <p>Summary of model performance for vertebrate species richness and abundance. “Full” model includes all of the terms: rock cover, land tenure, year and rainfall.</p>
          </caption>
          <table>
            <thead>
              <tr>
                <th align="center" valign="middle">Fauna Group Attribute</th>
                <th align="center" valign="middle">Model</th>
                <th align="center" valign="middle">Deviance</th>
                <th align="center" valign="middle">AICc</th>
                <th align="center" valign="middle">Delta</th>
                <th align="center" valign="middle">Weight</th>
              </tr>
            </thead>
            <tbody>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Vertebrate richness</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">2,616.0</td>
                <td align="center" valign="middle">6,982.4</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0.98</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rock, tenure, year</td>
                <td align="center" valign="middle">2,626.3</td>
                <td align="center" valign="middle">6,990.7</td>
                <td align="center" valign="middle">8.3</td>
                <td align="center" valign="middle">0.02</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Vertebrate abundance</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">2,0531</td>
                <td align="center" valign="middle">2,594.8</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rock, rainfall, tenure</td>
                <td align="center" valign="middle">2,0619</td>
                <td align="center" valign="middle">2,603.5</td>
                <td align="center" valign="middle">86.2</td>
                <td align="center" valign="middle">0</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Amphibian richness</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">1,238.7</td>
                <td align="center" valign="middle">1,952.1</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0.79</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, tenure, year</td>
                <td align="center" valign="middle">1,243.5</td>
                <td align="center" valign="middle">1,954.8</td>
                <td align="center" valign="middle">2.7</td>
                <td align="center" valign="middle">0.21</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Amphibian abundance</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">4,887.5</td>
                <td align="center" valign="middle">5,796.7</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, tenure, year</td>
                <td align="center" valign="middle">4,930.6</td>
                <td align="center" valign="middle">5,837.8</td>
                <td align="center" valign="middle">41.1</td>
                <td align="center" valign="middle">0</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="5" align="center" valign="middle">Reptile richness</td>
                <td align="center" valign="middle">rock, tenure</td>
                <td align="center" valign="middle">1,056.5</td>
                <td align="center" valign="middle">4,039.0</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0.23</td>
              </tr>
              <tr>
                <td align="center" valign="middle">tenure</td>
                <td align="center" valign="middle">1,059.7</td>
                <td align="center" valign="middle">4,040.1</td>
                <td align="center" valign="middle">1.12</td>
                <td align="center" valign="middle">0.13</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rock, tenure, year</td>
                <td align="center" valign="middle">1,055.8</td>
                <td align="center" valign="middle">4,040.2</td>
                <td align="center" valign="middle">1.24</td>
                <td align="center" valign="middle">0.12</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, rock, tenure</td>
                <td align="center" valign="middle">1,056.5</td>
                <td align="center" valign="middle">4,040.9</td>
                <td align="center" valign="middle">1.96</td>
                <td align="center" valign="middle">0.08</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rock</td>
                <td align="center" valign="middle">1,063.0</td>
                <td align="center" valign="middle">4,041.4</td>
                <td align="center" valign="middle">2.40</td>
                <td align="center" valign="middle">0.07</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Reptile abundance</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">5,785.4</td>
                <td align="center" valign="middle">9,525.2</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0.74</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, tenure, year</td>
                <td align="center" valign="middle">5,789.4</td>
                <td align="center" valign="middle">9,527.3</td>
                <td align="center" valign="middle">2.1</td>
                <td align="center" valign="middle">0.26</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Bird richness</td>
                <td align="center" valign="middle">full </td>
                <td align="center" valign="middle">2,876.7</td>
                <td align="center" valign="middle">6,877.5</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, rock, year</td>
                <td align="center" valign="middle">2,913.4</td>
                <td align="center" valign="middle">6,910.1</td>
                <td align="center" valign="middle">32.6</td>
                <td align="center" valign="middle">0</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Bird abundance</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">23,250.9</td>
                <td align="center" valign="middle">28,366.0</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, rock, tenure</td>
                <td align="center" valign="middle">23,320.5</td>
                <td align="center" valign="middle">28,433.3</td>
                <td align="center" valign="middle">67.4</td>
                <td align="center" valign="middle">0</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Mammal richness</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">1,248.2</td>
                <td align="center" valign="middle">3,091.4</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0.99</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, tenure, year</td>
                <td align="center" valign="middle">1,260.3</td>
                <td align="center" valign="middle">3,101.6</td>
                <td align="center" valign="middle">10.1</td>
                <td align="center" valign="middle">0.01</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Mammal abundance</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">5,387.1</td>
                <td align="center" valign="middle">7,677.3</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">1</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, tenure, year</td>
                <td align="center" valign="middle">5,453.1</td>
                <td align="center" valign="middle">7,741.2</td>
                <td align="center" valign="middle">63.9</td>
                <td align="center" valign="middle">0</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Threatened species richness</td>
                <td align="center" valign="middle">rainfall, tenure, year</td>
                <td align="center" valign="middle">760.8</td>
                <td align="center" valign="middle">1,433.9</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0.70</td>
              </tr>
              <tr>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">760.6</td>
                <td align="center" valign="middle">1,435.7</td>
                <td align="center" valign="middle">1.79</td>
                <td align="center" valign="middle">0.29</td>
              </tr>
              <tr style="border-top: solid thin">
                <td rowspan="2" align="center" valign="middle">Threatened species abundance</td>
                <td align="center" valign="middle">full</td>
                <td align="center" valign="middle">2,120.9</td>
                <td align="center" valign="middle">2,953.7</td>
                <td align="center" valign="middle">0</td>
                <td align="center" valign="middle">0.66</td>
              </tr>
              <tr>
                <td align="center" valign="middle">rainfall, tenure, year</td>
                <td align="center" valign="middle">2,124.2</td>
                <td align="center" valign="middle">2,955.0</td>
                <td align="center" valign="middle">1.35</td>
                <td align="center" valign="middle">0.34</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <fig id="land-02-00020-f002" position="float">
          <label>Figure 2</label>
          <caption>
            <p>Variation amongst land tenures (conservation reserves, Indigenous (Aboriginal) lands and pastoral lands) in the richness and abundance of vertebrate groups. Bars show means and whiskers standard errors, based on model averaging with all covariates included.</p>
          </caption>
          <graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="land-02-00020-g002.tif"/>
        </fig>
        
      </sec>
      <sec>
        <title>3.2. Threats</title>
        <p>Impact scores for weeds, livestock and pigs, but not fire, varied significantly between land tenure types (<xref ref-type="table" rid="land-02-00020-t002">Table 2</xref>). Weed impact was greatest on pastoral lands and least on Aboriginal lands. Unsurprisingly, livestock (cattle) impact was also greatest on pastoral lands. Pig impact was greatest on conservation lands.</p>
        <table-wrap id="land-02-00020-t002" position="float">
          <object-id pub-id-type="pii">land-02-00020-t002_Table 2</object-id>
          <label>Table 2</label>
          <caption>
            <p>Summary table of environmental disturbance variables and their relationship to land tenure. Values in body of table are means (and relate to a scale from 0 (no impact) to 5 (severe impact)). Significance levels: * <italic>p </italic>&lt; 0.05; ** <italic>p</italic> &lt; 0.01; *** <italic>p</italic> &lt; 0.001.</p>
          </caption>
          <table>
            <thead>
              <tr>
                <th align="center" valign="middle">Variable</th>
                <th align="center" valign="middle">Conservation Reserves</th>
                <th align="center" valign="middle">Pastoral</th>
                <th align="center" valign="middle">Aboriginal Lands</th>
                <th align="center" valign="middle">H</th>
              </tr>
            </thead>
            <tbody>
              <tr>
                <td align="center" valign="middle">Fire impact</td>
                <td align="center" valign="middle">1.75</td>
                <td align="center" valign="middle">1.64</td>
                <td align="center" valign="middle">1.58</td>
                <td align="center" valign="middle">5.9 ns</td>
              </tr>
              <tr>
                <td align="center" valign="middle">Weed impact</td>
                <td align="center" valign="middle">0.15</td>
                <td align="center" valign="middle">0.85</td>
                <td align="center" valign="middle">0.02</td>
                <td align="center" valign="middle">120.2 ***</td>
              </tr>
              <tr>
                <td align="center" valign="middle">Cattle impact</td>
                <td align="center" valign="middle">0.41</td>
                <td align="center" valign="middle">0.70</td>
                <td align="center" valign="middle">0.41</td>
                <td align="center" valign="middle">10.6 **</td>
              </tr>
              <tr>
                <td align="center" valign="middle">Pig impact</td>
                <td align="center" valign="middle">0.42</td>
                <td align="center" valign="middle">0.19</td>
                <td align="center" valign="middle">0.14</td>
                <td align="center" valign="middle">41.7 ***</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
    </sec>
    <sec>
      <title>4. Interpretation and Discussion</title>
      <p>Across a very large data set of quadrats sampled consistently for vertebrate fauna and a single (extensive) vegetation type, we attempted to distil the influence of land tenure (and its partly matched associate of land management) on biodiversity. Although the resulting models indicate that species richness and abundance is associated also with some other environmental factors, the results demonstrate that there is a significant influence of land tenure on vertebrate species richness and abundance. Of the three land tenures (pastoral, conservation reserves and Indigenous lands), conservation reserves supported highest species richness and total abundance for most fauna groups considered. There was some variation amongst vertebrate groups in the magnitude of this response to land tenure, with the most marked response being the markedly reduced abundance of threatened species on pastoral lands. Our study does not provide a definitive explanation of this particular response, but we speculate that it may be because many now threatened species have an association with relatively dense ground-layer cover, which would be most depleted (by grazing) on pastoral lands.</p>
      <p>The trend suggests that management on conservation reserves may be having some beneficial impacts upon (at least vertebrate) biodiversity relative to other land types. We note that the findings of this study relate to vertebrate fauna only and may not apply comparably to plants and invertebrates; however, some previous studies in the region have indicated some broad commonality between vertebrate and invertebrate faunas in responses to land use [<xref ref-type="bibr" rid="B18-land-02-00020">18</xref>,<xref ref-type="bibr" rid="B19-land-02-00020">19</xref>], and we note also that sampling across birds, mammals, reptiles and frogs provides a reasonably broad scope for ecological response.</p>
      <p>This “biodiversity dividend” associated with conservation reserves appears to be small, but significant. In part, the limited effect of conservation reserve tenure may be due to the relatively recent (mostly post-1960s) establishment of many reserves, typically from areas formerly exposed to a substantial history of pastoralism. In part, the limited effect of conservation reserve tenure may be due also to the limited resourcing for management that characterizes most conservation reserves in this region and, consequently, the limited extent to which detrimental disturbance factors are being controlled in conservation reserves [<xref ref-type="bibr" rid="B50-land-02-00020">50</xref>]. In part, the limited dividend may also be because, in this region, the non-reserve land tenures are also relatively benign for biodiversity (although the results indicate that this assumption may be invalid for threatened species). Note that our use of the term “biodiversity dividend” should not imply that there has been a bonus above and beyond background rates of biodiversity. Indeed, given some broad-scale declines of biodiversity in this region across all land tenures [<xref ref-type="bibr" rid="B45-land-02-00020">45</xref>], the biodiversity dividend for conservation reserves may be better interpreted as a biodiversity loss that is relatively less than the losses on other land tenures.</p>
      <p>It may be argued that the higher values reported here for vertebrate biodiversity on conservation reserves than on other extensive land tenures may be due to deliberate establishment of those reserves on areas known to have supported high biodiversity value: that is, that the high biodiversity value preceded the conservation management. We suggest that this is not the case, because the location of conservation reserves in this region has been driven mostly by opportunity, by scenic value or by recreational potential [<xref ref-type="bibr" rid="B51-land-02-00020">51</xref>].</p>
      <p>The results also demonstrate a contrasting constellation of disturbance regimes operating across these different land tenures, with such differences in the incidence or impacts of threats presumably contributing to the observed differences in vertebrate species richness and abundance. The differences between land tenures in disturbance regimes observed in this study are consistent with some previous observations in this region, including a study restricted to the small rainforest patches embedded within the extensive savannah woodlands [<xref ref-type="bibr" rid="B52-land-02-00020">52</xref>]. Both studies reported that weed impacts were highest on pastoral lands, then conservation reserves, then Indigenous lands; and both studies reported that pig impacts were greatest in conservation reserves, then pastoral lands, then Indigenous lands. However, the previous rainforest study reported that fire impacts were most severe for rainforests on pastoral lands, whereas no such trend was evident in our data [<xref ref-type="bibr" rid="B52-land-02-00020">52</xref>]. Two other studies also reported an incidence of weed impacts that was higher on pastoral lands than in conservation reserves or Indigenous lands, with the relatively low incidence of weeds on Indigenous lands, most likely to be due to remoteness from major development rather than a consequence of intrinsic management [<xref ref-type="bibr" rid="B16-land-02-00020">16</xref>,<xref ref-type="bibr" rid="B53-land-02-00020">53</xref>].</p>
      <p>This study provides no substantial support for previous assertions (notably [<xref ref-type="bibr" rid="B9-land-02-00020">9</xref>]) of the superior value of Indigenous land management for fostering biodiversity. The broad regional analysis reported here indicates that, when corrected for variation in rainfall and rockiness, quadrats on Indigenous lands typically supported fewer frogs, reptiles, birds and mammals than comparably-sampled quadrats in the same environment on conservation reserves. However, we note that the management of Indigenous lands considered in this study varied substantially across a gradient from lands where traditional intensive management was being continued to lands that had been largely depopulated and neglected. Hence, our results here reflect land tenure <italic>per se</italic> rather than management.</p>
      <p>Across northern Australia, there is now substantial investment by governments and a substantial policy framework for supporting environmental management actions by Indigenous people on Indigenous lands. This support is clearly providing important socio-economic contributions to disadvantaged communities, and there is evidence that involvement in management is producing health benefits [<xref ref-type="bibr" rid="B54-land-02-00020">54</xref>,<xref ref-type="bibr" rid="B55-land-02-00020">55</xref>]. However, while there may be some reasonable supposition that such management may produce some biodiversity benefit, particularly for some fire-sensitive plant species [<xref ref-type="bibr" rid="B9-land-02-00020">9</xref>,<xref ref-type="bibr" rid="B13-land-02-00020">13</xref>,<xref ref-type="bibr" rid="B14-land-02-00020">14</xref>,<xref ref-type="bibr" rid="B56-land-02-00020">56</xref>], there is as yet no compelling evidence to support such happy conflation more generally. The results reported here suggest that a far more rigorous evidence-based assessment of the environmental outcomes of this investment is required [<xref ref-type="bibr" rid="B57-land-02-00020">57</xref>]. In considering such supporting evidence, we note the bluntness of the data we report here (one-off inventory, of species richness and total abundance) and recognise that a more sensitive and targeted measurement (and comparison) of management efficacy would be provided by monitoring of biodiversity trends comparably across lands of different tenure and exposed to contrasting management objectives, methods and resource investment.</p>
      <p>We also recognise that there is increasing blending of Indigenous land management skills and conventional park management (the “two tool-box” approach [<xref ref-type="bibr" rid="B14-land-02-00020">14</xref>,<xref ref-type="bibr" rid="B58-land-02-00020">58</xref>]) on conservation reserves and Indigenous lands across much of northern Australia and increasing resources available for conservation management, particularly on Indigenous lands [<xref ref-type="bibr" rid="B14-land-02-00020">14</xref>]. Such a recent development is likely to provide some increases in biodiversity outcomes, particularly for lands that have until recently been largely depopulated and unmanaged [<xref ref-type="bibr" rid="B30-land-02-00020">30</xref>].</p>
      <p>For pastoral lands, our results demonstrate that biodiversity values are being reasonably well maintained, albeit with values generally less than for conservation reserves. However, this is not the case for the set of threatened species, where the values for pastoral land were substantially (&gt;50%) less than for conservation reserves. This contrast reinforces the point that conservation value may be poorly measured by simply the richness and abundance of broad taxonomic groups. The result here for threatened species suggests that pastoral lands may provide relatively little conservation benefit for these species and, indeed, that pastoralism across most of these north Australian landscapes may have contributed to the currently threatened status of some species. This conclusion, from broad-scale comparison, complements some findings of highly localised (typically cross-fence contrasts) that have demonstrated localised detrimental impacts of pastoralism on biodiversity [<xref ref-type="bibr" rid="B18-land-02-00020">18</xref>,<xref ref-type="bibr" rid="B20-land-02-00020">20</xref>,<xref ref-type="bibr" rid="B22-land-02-00020">22</xref>].</p>
      <p>This study provides correlative evidence of a response to land tenure and a foundation for subsequent research. Such research may provide stronger and more direct evidence if it involves ongoing monitoring of biodiversity at sites where land tenure (and/or management) has changed [<xref ref-type="bibr" rid="B22-land-02-00020">22</xref>] and/or more intensive studies of habitat quality and ecology for species for which abundance varies between land tenures.</p>
    </sec>
    <sec sec-type="conclusions">
      <title>5. Conclusions</title>
      <p>These results demonstrate a biodiversity dividend, albeit relatively small, that is attributable to the existence of conservation reserves, even within extensive largely intact landscapes. This conclusion, from our extensive regional-scale sampling, is broadly consistent with results from the few other studies (whose sampling has mostly involved other approaches (notably cross-fence comparisons) at smaller geographic scales) [<xref ref-type="bibr" rid="B18-land-02-00020">18</xref>,<xref ref-type="bibr" rid="B19-land-02-00020">19</xref>,<xref ref-type="bibr" rid="B20-land-02-00020">20</xref>,<xref ref-type="bibr" rid="B21-land-02-00020">21</xref>].</p>
      <p>In this region, the continued existence of natural landscapes across the far more extensive matrix in which these reserves are embedded may be a major reason why these reserves maintain their biodiversity values [<xref ref-type="bibr" rid="B59-land-02-00020">59</xref>]. Although less than for conservation reserves, Indigenous lands and pastoral lands are here shown to have substantial biodiversity value, notwithstanding their contrasting management regimes, intensity and objectives. Given the relatively small proportion of lands currently devoted to conservation reserves in this area, these unreserved lands make a very substantial contribution to regional biodiversity conservation. This conclusion suggests that there is substantial justification for investing in biodiversity management for lands of all tenures and managing this ecologically continuous land for biodiversity outcomes without excessive concern for cadastral boundaries. This is a markedly different situation to many other parts of the world, where broad-scale land-use impacts outside reserves result in a more marked contrast in biodiversity values between reserved and unreserved lands and probably ultimately lead to erosion of park values through fragmentation effects [<xref ref-type="bibr" rid="B60-land-02-00020">60</xref>,<xref ref-type="bibr" rid="B61-land-02-00020">61</xref>,<xref ref-type="bibr" rid="B62-land-02-00020">62</xref>].</p>
      <p>In this extensive natural landscape, lands of all tenures may contribute substantially to biodiversity conservation, but conservation reserves make the most substantial contribution. However, even in the largest and best-resourced conservation reserve in this region (Kakadu National Park), some components of biodiversity are currently undergoing considerable decline, suggesting that the management of threats even in conservation reserves is insufficient to meet the conservation need; that the biodiversity dividend reported here for conservation reserves may instead be simply a biodiversity detriment that happens to be less than on other land tenures [<xref ref-type="bibr" rid="B27-land-02-00020">27</xref>,<xref ref-type="bibr" rid="B45-land-02-00020">45</xref>].</p>
    </sec>
  
  </body>
  <back>
    <ack>
      <title>Acknowledgments</title>
      <p>This study was funded in part by an Australia Research Council Linkage Grant (LP0455163). The data considered here derive from many years of fauna surveys undertaken by the Northern Territory Department of Natural Resources Environment The Arts and Sport, with many survey staff, but with particular mention of Martin Armstrong, Kym Brennan and Damian Milne. We thank Simon Davies, Kamil Barton and the R core team for statistical R functions. We thank Graham Phelps, Stephen Garnett, Peter Whitehead and three anonymous referees for their helpful comments. We thank very many landholders for permission to work on their lands.</p>
    </ack>
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