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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">KOEDOE</journal-id>
<journal-title-group>
<journal-title>KOEDOE</journal-title>
</journal-title-group>
<issn pub-type="ppub">0075-6458</issn>
<issn pub-type="epub">2071-0791</issn>
<publisher>
<publisher-name>AOSIS OpenJournals</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">KOEDOE-57-1240</article-id>
<article-id pub-id-type="doi">10.4102/koedoe.v57i1.1240</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Foraging range and habitat use by Cape Vulture <italic>Gyps coprotheres</italic> from the Msikaba colony, Eastern Cape province, South Africa</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Pfeiffer</surname>
<given-names>Morgan B.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Venter</surname>
<given-names>Jan A.</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
<xref ref-type="aff" rid="AF0003">3</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Downs</surname>
<given-names>Colleen T.</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<aff id="AF0001"><label>1</label>School of Life Sciences, University of KwaZulu-Natal, South Africa</aff>
<aff id="AF0002"><label>2</label>Department of Biodiversity Conservation, Eastern Cape Parks and Tourism Agency, East London, South Africa</aff>
<aff id="AF0003"><label>3</label>Centre for Wildlife Management, University of Pretoria, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Correspondence to:</bold> Colleen Downs <bold>Email:</bold> <email xlink:href="downs@ukzn.ac.za">downs@ukzn.ac.za</email>, <bold>Postal address:</bold> Private Bag X01, Scottsville 3209, South Africa</corresp>
<fn><p><bold>How to cite this article:</bold> Pfeiffer, M.B., Venter, J.A. &#x0026; Downs, C.T., 2015, &#x2018;Foraging range and habitat use by Cape Vulture <italic>Gyps coprotheres</italic> from the Msikaba colony, Eastern Cape province, South Africa&#x2019;, <italic>Koedoe</italic> 57(1), Art. #1240, 11 pages. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.4102/koedoe.v57i1.1240">http://dx.doi.org/10.4102/koedoe.v57i1.1240</ext-link></p></fn>
</author-notes>
<pub-date pub-type="epub">
<day>18</day>
<month>05</month>
<year>2015</year>
</pub-date>
<pub-date pub-type="collection">
<year>2015</year>
</pub-date>
<volume>57</volume>
<issue>1</issue>
<fpage>1</fpage>
<lpage>11</lpage>
<history>
<date date-type="received">
<day>04</day>
<month>07</month>
<year>2014</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>01</month>
<year>2015</year>
</date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2015. The Authors</copyright-statement>
<copyright-year>2015</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
<license-p>AOSIS OpenJournals. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<p>Despite the extent of subsistence farmland in Africa, little is known about endangered species that persist within them. The Cape Vulture (<italic>Gyps coprotheres</italic>) is regionally endangered in southern Africa and at least 20% of the population breeds in the subsistence farmland area previously known as the Transkei in the Eastern Cape province of South Africa. To understand their movement ecology, adult Cape Vultures (<italic>n</italic> = 9) were captured and fitted with global positioning system/global system for mobile transmitters. Minimum convex polygons (MCPs), and 99% and 50% kernel density estimates (KDEs) were calculated for the breeding and non-breeding seasons of the Cape Vulture. Land use maps were constructed for each 99% KDE and vulture locations were overlaid. During the non-breeding season, ranges were slightly larger (mean [&#x00B1; SE] MCP = 16 887 km<sup>2</sup> &#x00B1; 366 km<sup>2</sup>) than the breeding season (MCP = 14 707 km<sup>2</sup> &#x00B1; 2155 km<sup>2</sup>). Breeding and non-breeding season MCPs overlapped by a total of 92%. Kernel density estimates showed seasonal variability. During the breeding season, Cape Vultures used subsistence farmland, natural woodland and protected areas more than expected. In the non-breeding season, vultures used natural woodland and subsistence farmland more than expected, and protected areas less than expected. In both seasons, human-altered landscapes were used less, except for subsistence farmland.</p>
<p><bold>Conservation implications:</bold> These results highlight the importance of subsistence farmland to the survival of the Cape Vulture. Efforts should be made to minimise potential threats to vultures in the core areas outlined, through outreach programmes and mitigation measures. The conservation buffer of 40 km around Cape Vulture breeding colonies should be increased to 50 km.</p>
</abstract>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Africa has been inhabited by humans for over 300 000 years (Fisher <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0022">2013</xref>; Sheehan &#x0026; Sanderson <xref ref-type="bibr" rid="CIT0055">2012</xref>). Within that time, communal grazing of livestock, human-induced fires, depletion of indigenous forests and urbanisation have altered many landscapes (Lawes, Griffiths &#x0026; Boudreau <xref ref-type="bibr" rid="CIT0028">2007</xref>; Sheehan &#x0026; Sanderson <xref ref-type="bibr" rid="CIT0055">2012</xref>; Skead <xref ref-type="bibr" rid="CIT0056">1987</xref>; Vetter &#x0026; Bond <xref ref-type="bibr" rid="CIT0062">2012</xref>). Although heavily human-altered landscapes are often degraded, endangered species can persist in these environments (McKee <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0030">2004</xref>; Phipps <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0041">2013b</xref>).</p>
<p>One opportunistic animal guild that has coexisted with humans for centuries is the vulture (Haas &#x0026; Mundy <xref ref-type="bibr" rid="CIT0023">2013</xref>; Mole&#x00F3;n <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0031">2014</xref>). Vultures perform an important ecosystem service by consuming carcasses. Vultures recycle nutrients, reduce the potential for the spread of infectious diseases, and provide a carbon-neutral waste removal service (Dupont <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0020">2012</xref>; Prakash <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0047">2003</xref>; Ogada <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0039">2012b</xref>). In some cultures, vultures are highly revered and, for example, are used to ritually dispose of human corpses (Haas &#x0026; Mundy <xref ref-type="bibr" rid="CIT0023">2013</xref>). However, 61% of vulture species worldwide are vulnerable to extinction from a variety of threats (Ogada <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0038">2012a</xref>). Understanding how vultures persist in human-altered landscapes will provide information on where and how to focus conservation efforts on a regional and global scale.</p>
<p>The Cape Vulture (<italic>Gyps coprotheres</italic>), a colonial nesting scavenger, is endemic to southern Africa. It is listed as &#x2018;vulnerable&#x2019; on the Red List of Threatened Species of the International Union for Conservation of Nature and Natural Resources (IUCN) and as &#x2018;endangered&#x2019; in the <italic>Eskom Red Data Book of Birds of South Africa, Lesotho and Swaziland</italic> (BirdLife International <xref ref-type="bibr" rid="CIT0004">2013</xref>).</p>
<p>At least 20% of the global population breeds in the former Bantustan homeland of the Transkei in the Eastern Cape province of South Africa (BirdLife International <xref ref-type="bibr" rid="CIT0004">2013</xref>; Boshoff, Piper &#x0026; Michael <xref ref-type="bibr" rid="CIT0012">2009</xref>; Piper <xref ref-type="bibr" rid="CIT0042">1994</xref>). This area was created under segregation laws of the former apartheid government of South Africa and is characterised by high human densities and subsistence farmland (Kepe <xref ref-type="bibr" rid="CIT0027">1997</xref>; Shackleton <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0053">1991</xref>; Statistics South Africa <xref ref-type="bibr" rid="CIT0058">2011</xref>). In this area, every resident has access to communal grazing land and livestock numbers are not restricted (Vetter &#x0026; Bond <xref ref-type="bibr" rid="CIT0062">2012</xref>).</p>
<p>Most of the Cape Vulture breeding colonies in the former Transkei are located in formal protected areas or Important Bird Areas (IBAs) (BirdLife South Africa <xref ref-type="bibr" rid="CIT0007">2013</xref>). Two of the three protected areas, namely Collywobbles Vulture Colony (IBA SA088) and Pondoland Cape Vulture Colonies (IBA SA126), were designated as IBAs specifically to promote the conservation of this threatened species (BirdLife International <xref ref-type="bibr" rid="CIT0005">2014a</xref>; BirdLife International <xref ref-type="bibr" rid="CIT0006">2014b</xref>). However, foraging vultures are rarely confined to protected areas and are thus exposed to numerous threats elsewhere (Bamford <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0001">2007</xref>; Phipps <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0040">2013a</xref>). For example, Cape Vultures are illegally killed for the traditional medicine market and are negatively impacted by power line infrastructure in the Eastern Cape (Boshoff <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0011">2011</xref>; Mander <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0029">2007</xref>). Poisoned carcasses, resulting in mass vulture mortalities, appear to be an infrequent occurrence in subsistence farmland areas, but do occur on commercial farms (Brown &#x0026; Piper <xref ref-type="bibr" rid="CIT0016">1988</xref>).</p>
<p>A possible benefit to vultures in the former Transkei is the relatively high livestock mortality rates compared to commercial farming areas, which results in an abundance of carrion (Boshoff <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0009">2009</xref>; Vernon <xref ref-type="bibr" rid="CIT0061">1998</xref>). Furthermore, the landscape in the former Transkei contains numerous suitable cliffs on which Cape Vultures roost and breed (Mundy <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0035">1992</xref>; Piper &#x0026; Ruddle <xref ref-type="bibr" rid="CIT0045">1986</xref>). Despite having knowledge of the potential threats and perceived benefits for Cape Vultures, knowledge of the movement ecology and detailed demographic information of Cape Vultures in this area is lacking.</p>
<p>BirdLife South Africa, the Endangered Wildlife Trust (EWT) and a number of bird specialists recommend 40 km buffers around Cape Vulture breeding colonies as conservation priority areas to prevent mortalities from wind turbines and hazardous power infrastructure development (Boshoff &#x0026; Minnie <xref ref-type="bibr" rid="CIT0010">2011</xref>; Retief <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0048">2013</xref>). Breeding Cape Vultures of the southern node population are known to forage and move extensively within this range (Boshoff &#x0026; Minnie <xref ref-type="bibr" rid="CIT0010">2011</xref>; Boshoff, Robertson &#x0026; Norton <xref ref-type="bibr" rid="CIT0013">1984</xref>; Brown &#x0026; Piper <xref ref-type="bibr" rid="CIT0016">1988</xref>; Robertson &#x0026; Boshoff <xref ref-type="bibr" rid="CIT0049">1986</xref>).</p>
<p>Breeding vultures that forage within 40 km of the colony are better able to relieve their partner of parenting duties so that both can forage on the same day (Ruxton &#x0026; Houston <xref ref-type="bibr" rid="CIT0051">2002</xref>). Vultures that forage in this manner are thought to have higher breeding success because of a higher food delivery rate to the chick (Ruxton &#x0026; Houston <xref ref-type="bibr" rid="CIT0051">2002</xref>). However, telemetry-based Cape Vulture studies in other regions have indicated that both breeding and non-breeding Cape Vultures forage considerably farther than 40 km from the breeding colony, which may weaken the conservation goals of the colony buffers (Bamford <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0001">2007</xref>; Phipps <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0041">2013b</xref>).</p>
<p>Foraging ranges of vultures may be influenced by the surrounding land uses or presence of vulture feeding sites. Vulture feeding sites (vulture restaurants) provide an uncontaminated, regular supply of carrion for vultures, which aims to prevent mortalities from food shortages and poisonings (Piper, Boshoff &#x0026; Scott <xref ref-type="bibr" rid="CIT0044">1999</xref>). Most operate on commercial farms in South Africa (EWT and Ezemvelo KwaZulu-Natal [KZN] Wildlife unpublished data). In the Eastern Cape, all active Cape Vulture breeding colonies are in or near subsistence farmland with few vulture feeding sites, but the degree of subsistence farmland use by Cape Vultures remains unknown.</p>
<p>The aim of this study was to document the foraging range and habitat use of adult Cape Vultures in the former Transkei from a colony in the Mkambati Nature Reserve. One intention of the study was to test if 40 km buffers around southern Cape Vulture breeding colonies are adequate for their intended conservation purposes. The size, shape and habitat use in the overall foraging and core areas were investigated and possible seasonal differences quantified. Seasons were separated into either breeding or non-breeding season.</p>
<p>Adult vultures were expected to conduct fewer foraging trips during the early breeding season and incubation (Kendall <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0026">2014</xref>; Spiegel <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0057">2013</xref>). Breeding behaviour may concentrate Cape Vulture movements to areas that maximise the success of foraging trips. These areas would be ideal to identify for conservation planning. Additionally, a small proportion of Cape Vultures may migrate from the eastern part of the Eastern Cape to the west in the non-breeding season (Boshoff <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0009">2009</xref>). If this migration occurs, it would be important to isolate any corridors or flight paths. Vulture movements may be influenced by the availability of resources across the landscape. Therefore, resource selection by the vultures was thought to differ with land use and season (Murn &#x0026; Anderson <xref ref-type="bibr" rid="CIT0037">2008</xref>; Vernon <xref ref-type="bibr" rid="CIT0061">1998</xref>). The location of the study vulture colony provides a unique opportunity to investigate the vultures&#x2019; use of subsistence and commercial farmland, as both land uses are present within 100 km of the colony.</p>
</sec>
<sec id="s0002" sec-type="methods">
<title>Methods</title>
<sec id="s20003">
<title>Study area</title>
<p>The entire former Transkei (approximately 27&#x00B0; E &#x2013; 30&#x00B0; E and 33&#x00B0; S &#x2013; 30&#x00B0; S) is located in the Eastern Cape and KwaZulu-Natal provinces of South Africa (Boshoff <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0009">2009</xref>). The Indian Ocean coastal belt, savanna and grassland are the three major biomes in the study area (Mucina <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0034">2006</xref>). Ngongoni grass (<italic>Aristida junciformis</italic>) dominates the savanna and grassland biomes, while the Indian Ocean coastal belt supports patches of species-rich sour grasslands (Mucina <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0034">2006</xref>). The dominant herbivores in the study area are domestic livestock (either for subsistence or commercial purposes) and wild ungulates in fenced protected areas (Boshoff &#x0026; Vernon <xref ref-type="bibr" rid="CIT0014">1980</xref>; Shackleton <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0053">1991</xref>).</p>
<p>The Msikaba Cape Vulture colony (31&#x00B0;16&#x02B9; S, 29&#x00B0;59&#x02B9; E; 200 m a.s.l.; <xref ref-type="fig" rid="F0001">Figure 1</xref>) is located on cliffs formed by the Msikaba River in the Mkambati Nature Reserve (Boshoff &#x0026; Minnie <xref ref-type="bibr" rid="CIT0010">2011</xref>; Piper &#x0026; Ruddle <xref ref-type="bibr" rid="CIT0045">1986</xref>). At least 170 Cape Vulture pairs breed regularly within the Mkambati Nature Reserve (Botha <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0015">2012</xref>). Vulture breeding activity was first documented at Msikaba in 1984; however, breeding attempts along the Mtentu River, the northern boundary of the Mkambati Nature Reserve, were first documented in the mid-1970s (Piper &#x0026; Ruddle <xref ref-type="bibr" rid="CIT0045">1986</xref>). Annual rainfall is about 1200 mm and the difference in monthly mean temperature is less than 6 &#x00B0;C along the coast (Shackleton <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0053">1991</xref>).</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Location of the former Transkei, Mkambati Nature Reserve and the Msikaba Cape Vulture breeding colony in the Eastern Cape province of South Africa.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="KOEDOE-57-1240-g001.tif"/>
</fig>
</sec>
<sec id="s20004">
<title>Cape Vulture captures and marking</title>
<p>A 9 m &times; 6 m &times; 3 m wooden-framed walk-in cage trap (Diekmann <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0019">2004</xref>) was constructed at the Cape Vulture feeding site at the Mkambati Nature Reserve. The walls of the cage consisted of wire mesh (100 mm) reinforced with steel cable. Translucent shade cloth (50% opaqueness) was attached to the walls to prevent injuries to the vultures. Construction and baiting of the trap with ungulate carcasses from the Mkambati Nature Reserve commenced at least 7 months before capture attempts.</p>
<p>Each vulture captured was fitted with a unique metal South African Bird Ringing Unit (SAFRING) ring and patagial tags on both wings. Adults (<italic>n</italic> = 9) were identified by plumage and eye colour (Mundy <xref ref-type="bibr" rid="CIT0036">1982</xref>). Avi-Track (Pietermaritzburg, South Africa) global positioning system (GPS)/global system for mobile (GSM) transmitters were attached as backpacks (<italic>n</italic> = 3) and pelvic mounts (<italic>n</italic> = 3) using Teflon<sup>&#x00AE;</sup> ribbon. Cellular Tracking Technologies (CTT) 1100 GPS/GSM transmitters (Somerset, Pennsylvania, USA) were attached as backpacks (<italic>n</italic> = 2) and as a pelvic mount (<italic>n</italic> = 1). The average weights of the Avi-Track and CTT units were 97 g and 136 g respectively, which is less than 1% of the average weight of an adult Cape Vulture (Piper <xref ref-type="bibr" rid="CIT0043">2005</xref>).</p>
</sec>
<sec id="s20005">
<title>Data collection</title>
<p>The Avi-Track transmitters were programmed to record the GPS location of the vulture, direction of travel and speed at least six times a day in 2 h intervals from 06:00 to 18:00. The CTT transmitters were programmed to record the GPS location of the vulture, horizontal dilution of precision, fix quality, direction of travel, speed and altitude every 15 min from sunrise to sunset. For comparison with the Avi-Track units, a subsample of the CTT data was created by using one data point every 2 h for a total of six GPS locations a day. The first and last point of the day (which changed with day length) were used in addition to three points during the day, which were at least 2 h apart.</p>
</sec>
<sec id="s20006">
<title>Data analysis</title>
<p>The vulture transmitter data were entered into ArcGIS 9.3 (ESRI, www.esri.com) and projected to the Universal Transverse Mercator (UTM) (WGS [World Geodetic System] 1984 UTM Zone 35S). To determine if an asymptote was reached during each season, the minimum convex polygons (MCPs) were plotted in relation to the number of GPS locations. Visually, asymptotes were identified and vultures that reached asymptotes were used for further analyses.</p>
<p>Although widely criticised, MCP is the most commonly used home range estimator. It entails drawing the smallest polygon that incorporates all of the animal&#x0027;s locations (Powell <xref ref-type="bibr" rid="CIT0046">2000</xref>). The MCPs (100%) were calculated for each vulture in both breeding and non-breeding seasons and tested for differences. The breeding season data included all fixes from May to October 2013, while the non-breeding season data included fixes from November 2012 to April 2013 (Mundy <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0035">1992</xref>). The mean egg-laying period is May to June, with chicks hatching between July and August. Fledglings can be dependent on their parents until October or November, and even into December (Mundy <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0035">1992</xref>; Piper <xref ref-type="bibr" rid="CIT0042">1994</xref>). The percentage of MCP overlap was calculated for the two seasons.</p>
<p>Since MCPs generally include areas that are not visited by the vulture, kernel density estimates (KDEs) were used to identify high density areas of vultures. In previous studies, 95% KDEs were found to produce numerous fragmented areas; hence 99% KDEs were used (Blundell, Maier &#x0026; Debevec <xref ref-type="bibr" rid="CIT0008">2001</xref>; Phipps <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0041">2013b</xref>). Fifty percent KDEs were used to identify core areas. Both 99% and 50% KDEs were calculated for the breeding and non-breeding seasons and tested for seasonal differences. All KDEs were calculated using bivariate fixed kernels with a reference bandwidth. Least-squares cross validation calculations for KDEs could not be used because of numerous identical roosting locations. The raster cell size was 1000 m x 1000 m. Both MCP and KDE contours were produced using the Home Range Tools (HRT) extension for ArcGIS (Rodgers <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0050">2007</xref>).</p>
<p>Mann-Whitney tests were used to determine differences in foraging range size (MCP, 99% KDEs, 50% KDEs) and season (breeding vs non-breeding). <italic>P</italic>-values &#x003C; 0.05 were read as significant. Statistical analyses were conducted in STATISTICA (StatSoft <xref ref-type="bibr" rid="CIT0059">2006</xref>).</p>
</sec>
<sec id="s20007">
<title>Habitat use and GPS tracking</title>
<p>A land use map was created using the South African National Land Cover Database merged with all the protected areas of South Africa and Lesotho (South African National Botanical Institute [SANBI] <xref ref-type="bibr" rid="CIT0052">2000</xref>; IUCN and United Nations Environment Programme&#x0027;s World Conservation Monitoring Centre [UNEP-WCMC] <xref ref-type="bibr" rid="CIT0024">2014</xref>). The 41 original South African National Land Cover Database land use categories were compressed into six land use classes: urban centres, village communities, natural woody vegetation, tree plantations, commercial farmland and subsistence farmland (<xref ref-type="table" rid="T0003">Table A1</xref>). As the original map did not illustrate livestock grazing land (only cultivated land), land use classes such as &#x2018;natural grassland&#x2019; were separated into commercial or subsistence farmland based on their location to the former political boundaries of the Transkei (<xref ref-type="fig" rid="F0005">Figure A1</xref>).</p>
<p>Tree plantations and natural woody vegetation were separated because of the level of human transformation in these areas. To account for urban and suburban sprawl, 2 km buffers were placed around the urban and village layers. The polygon layer was converted into a raster with a cell size of 1800 m. The raster assigned one land use value to each cell, based on the cell centre. Analysis was limited by the resolution of spatial data available, but was compensated appropriately using buffers and the unbiased method of assigning a land use value based on the cell&#x0027;s centre.</p>
<p>The 99% KDEs of pooled Cape Vulture locations from the breeding and non-breeding seasons were clipped to the final categorised land use map, excluding areas that extended into the Indian Ocean, since vultures do not fly above oceans (pers. obs.). For each 99% KDE, areas of all land uses were calculated (km<sup>2</sup>). The number of vulture GPS locations within each land use was also calculated. Both procedures were conducted with Hawth&#x0027;s Analysis Tools (Beyer <xref ref-type="bibr" rid="CIT0003">2004</xref>). Habitat use in proportion to availability, considering each land use separately, was tested using the Bonferroni <italic>Z</italic>-statistic in Microsoft Excel (Byers, Steinhorst &#x0026; Krausman <xref ref-type="bibr" rid="CIT0018">1984</xref>).</p>
<p>In total, 34 Cape Vultures (including 1 recapture) were captured in 2012 and 2013, during the non-breeding season. The GPS locations of birds were highly autocorrelated, with a mean Schoener&#x0027;s index value of 0.10 &#x00B1; 0.07. This index detected that the individual&#x0027;s GPS locations were not independent of each other, which may result in underestimating home range estimates (Swinhart &#x0026; Slade <xref ref-type="bibr" rid="CIT0060">1985</xref>). To correct this, all data were rescaled to unit variance using Home Range Tools (Rodgers <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0050">2007</xref>). The reference bandwidth for both seasons across all individuals was 0.34 &#x00B1; 0.02 for KDEs.</p>
</sec>
</sec>
<sec id="s0008">
<title>Results</title>
<p>Nine transmitters recorded location data for 277 &#x00B1; 72 days. Of the vultures fitted with transmitters, five reached an MCP asymptote during the breeding season and four during the non-breeding season (<xref ref-type="fig" rid="F0006">Figure A2</xref>). The average number of GPS locations for the breeding and non-breeding seasons were 717 &#x00B1; 122 (<italic>n</italic> = 5) and 820 &#x00B1; 123 (<italic>n</italic> = 4) respectively. The number of fixes required for MCPs to become constant varied, but generally, transmitters with fewer than 300 GPS locations were found to be insufficient. Some vultures were tracked for both seasons, while other transmitters were deployed later in the season, or failed. Three transmitters stopped working for unknown reasons (birds were resighted alive) before 300 GPS locations were collected; these data were excluded from the analyses. Two transmitters only collected data for one season (X023 and X022). Of the vultures used for analysis, two (X027 and X023) were confirmed to have successfully raised chicks in 2013. One vulture (X022) was observed at a nesting site arranging nesting material with its partner, but did not breed.</p>
<sec id="s20009">
<title>Foraging ranges</title>
<p>General movements of the Cape Vultures occurred from the breeding colony in the south to the south-western part of the KwaZulu-Natal province. No vultures travelled south of the Mzimvubu River mouth during the tracking period. The pooled breeding season MCP overlapped 92% with the non-breeding season MCP (<xref ref-type="fig" rid="F0002">Figure 2</xref>). The mean MCP during the breeding season was 14 707 km<sup>2</sup> &#x00B1; 2155 km<sup>2</sup> (<italic>n</italic> = 5, median = 13 282 km<sup>2</sup>). The mean MCP during the non-breeding season was 16 887 km<sup>2</sup> &#x00B1; 366 km<sup>2</sup> (<italic>n</italic> = 4, median = 16 602 km<sup>2</sup>). There was no significant difference between individual MCPs (Mann&#x2013;Whitney test, <italic>Z</italic> = -0.49, <italic>P</italic> = 0.62).</p>
<fig id="F0002">
<label>FIGURE 2</label>
<caption><p>The combined minimum convex polygons of adult Cape Vultures (<italic>Gyps coprotheres</italic>) in the breeding (<italic>n</italic> = 5) and non-breeding seasons (<italic>n</italic> = 4) captured at the Msikaba Cape Vulture colony in the Eastern Cape, South Africa.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="KOEDOE-57-1240-g002.tif"/>
</fig>
<p>Individual 99% KDEs were not significantly larger in the non-breeding season (Mann&#x2013;Whitney test, <italic>Z</italic> = -0.73, <italic>P</italic> = 0.46), nor were the 50% KDEs (Mann&#x2013;Whitney test, <italic>Z</italic> = -1.71, <italic>P</italic> = 0.09). When Cape Vulture GPS locations were pooled together, MCPs and 99% KDEs were only slightly larger in the breeding season than the non-breeding season (<xref ref-type="table" rid="T0001">Table 1</xref>). Pooled 50% KDEs were also only slightly larger (908 km<sup>2</sup>) in the non-breeding season (<xref ref-type="fig" rid="F0003">Figure 3</xref>). Minimum convex polygons and 99% KDEs were similar across the breeding and non-breeding seasons, while the number and size of 50% KDEs differed slightly.</p>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Home range estimates for adult Cape Vultures (Gyps coprotheres) captured at Mkambati Nature Reserve, Eastern Cape, South Africa.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">ID</th>
<th align="center">Status</th>
<th align="center">Start</th>
<th align="center">End</th>
<th align="center">Days</th>
<th align="center">Fixes BS</th>
<th align="center">NBS</th>
<th colspan="6" align="center">Home Range Estimators (km<sup>2</sup>)</th>
</tr>
<tr>
<td align="left"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center">BS MCP</td>
<td align="center">NBS MCP</td>
<td align="center">BS 99% KDE</td>
<td align="center">NBS 99% KDE</td>
<td align="center">BS 50% KDE</td>
<td align="center">NBS 50% KDE</td>
</tr>
</thead>
<tbody>
<tr>
<td align="left">X016</td>
<td align="left">Unknown</td>
<td align="left">26 Nov. 2012</td>
<td align="left">25 May 2013</td>
<td align="char" char=".">181</td>
<td align="char" char=".">-</td>
<td align="char" char=".">753</td>
<td align="char" char=".">-</td>
<td align="char" char=".">16.395</td>
<td align="char" char=".">-</td>
<td align="char" char=".">20.186</td>
<td align="char" char=".">-</td>
<td align="char" char=".">2.785</td>
</tr>
<tr>
<td align="left">X033</td>
<td align="left">Unknown</td>
<td align="left">26 Nov. 2012</td>
<td align="left">31 Oct. 2013</td>
<td align="char" char=".">340</td>
<td align="char" char=".">761</td>
<td align="char" char=".">936</td>
<td align="char" char=".">8.531</td>
<td align="char" char=".">17.947</td>
<td align="char" char=".">10.744</td>
<td align="char" char=".">27.280</td>
<td align="char" char=".">817</td>
<td align="char" char=".">3.498</td>
</tr>
<tr>
<td align="left">X022</td>
<td align="left">Breeding (Unsuccessful)</td>
<td align="left">17 Mar. 2013</td>
<td align="left">31 Oct. 2013</td>
<td align="char" char=".">229</td>
<td align="char" char=".">1.046</td>
<td align="char" char=".">-</td>
<td align="char" char=".">18.811</td>
<td align="char" char=".">-</td>
<td align="char" char=".">27.014</td>
<td align="char" char=".">-</td>
<td align="char" char=".">1.863</td>
<td align="char" char=".">-</td>
</tr>
<tr>
<td align="left">X023</td>
<td align="left">Breeding (Successful)</td>
<td align="left">17 Mar. 2013</td>
<td align="left">31 Oct. 2013</td>
<td align="char" char=".">229</td>
<td align="char" char=".">716</td>
<td align="char" char=".">-</td>
<td align="char" char=".">13.282</td>
<td align="char" char=".">-</td>
<td align="char" char=".">17.457</td>
<td align="char" char=".">-</td>
<td align="char" char=".">1.298</td>
<td align="char" char=".">-</td>
</tr>
<tr>
<td align="left">X027</td>
<td align="left">Breeding (Successful)</td>
<td align="left">26 Nov. 2012</td>
<td align="left">31 Oct. 2013</td>
<td align="char" char=".">340</td>
<td align="char" char=".">525</td>
<td align="char" char=".">910</td>
<td align="char" char=".">12.598</td>
<td align="char" char=".">16.808</td>
<td align="char" char=".">20.861</td>
<td align="char" char=".">24.947</td>
<td align="char" char=".">2.198</td>
<td align="char" char=".">2.752</td>
</tr>
<tr>
<td align="left">X042</td>
<td align="left">Unknown</td>
<td align="left">26 Nov. 2012</td>
<td align="left">31 Oct. 2013</td>
<td align="char" char=".">340</td>
<td align="char" char=".">725</td>
<td align="char" char=".">681</td>
<td align="char" char=".">20.313</td>
<td align="char" char=".">16.396</td>
<td align="char" char=".">35.307</td>
<td align="char" char=".">27.932</td>
<td align="char" char=".">6.302</td>
<td align="char" char=".">6.327</td>
</tr>
<tr>
<td align="left">Mean</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="char" char=".">277</td>
<td align="char" char=".">717</td>
<td align="char" char=".">820</td>
<td align="char" char=".">14.707</td>
<td align="char" char=".">16.887</td>
<td align="char" char=".">22.277</td>
<td align="char" char=".">25.086</td>
<td align="char" char=".">2.496</td>
<td align="char" char=".">3.841</td>
</tr>
<tr>
<td align="left">SE</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="char" char=".">-</td>
<td align="char" char=".">-</td>
<td align="char" char=".">-</td>
<td align="char" char=".">2.155</td>
<td align="char" char=".">366</td>
<td align="char" char=".">4.186</td>
<td align="char" char=".">1.755</td>
<td align="char" char=".">981</td>
<td align="char" char=".">847</td>
</tr>
<tr>
<td align="left">Pooled</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="left">-</td>
<td align="char" char=".">-</td>
<td align="char" char=".">3773</td>
<td align="char" char=".">3280</td>
<td align="char" char=".">22.640</td>
<td align="char" char=".">22.068</td>
<td align="char" char=".">26.772</td>
<td align="char" char=".">26.003</td>
<td align="char" char=".">2.583</td>
<td align="char" char=".">3.491</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn0001a"><p>ID, identification; SE, standard deviation; BS, breeding season; NBS, non-breeding season; MCP, minimum convex polygons; KDE, kernel density estimate.</p></fn>
</table-wrap-foot>
</table-wrap>
<fig id="F0003">
<label>FIGURE 3</label>
<caption><p>Combined kernel density estimates for adult Cape Vultures (<italic>Gyps coprotheres</italic>) in the (a) breeding (<italic>n</italic> = 5) and (b) non-breeding season (<italic>n</italic> = 4) captured at the Msikaba Cape Vulture colony, Eastern Cape, South Africa. Kernel density estimate areas that extended into the Indian Ocean were removed as vultures cannot forage there. NBS, non-breeding season; BS, breeding season.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="KOEDOE-57-1240-g003.tif"/>
</fig>
<p>The maximum radius of the 50% KDE around the Msikaba Cape Vulture colony was 46 km during the breeding season. The other two core 50% KDEs during the breeding season had smaller radii (7 km and 11 km) and were located north of the breeding colony (<xref ref-type="fig" rid="F0003">Figure 3</xref>). The northernmost 50% KDE during the breeding season was mainly created by one bird (X042), which was not recorded at a breeding site at Msikaba. In the non-breeding season, there were only two core 50% KDEs areas. During the non-breeding season, the maximum radius from the colony to the edge of the 50% KDE was 52 km. The 50% KDE not located around the breeding colony had a radius of 29 km in the non-breeding season.</p>
</sec>
<sec id="s20010">
<title>Habitat use</title>
<p>When vulture locations were pooled, habitats were not selected in proportion to their availability. Habitat selected by vultures differed between the breeding and non-breeding seasons (<xref ref-type="table" rid="T0002">Table 2</xref>; <xref ref-type="fig" rid="F0004">Figure 4</xref>). Cape Vultures used subsistence farmland and natural woody vegetation more than expected in both the breeding and non-breeding season (<xref ref-type="table" rid="T0002">Table 2</xref>). Protected areas were used in a greater proportion during the breeding season, while during the non-breeding season protected areas were used less than their availability in the 99% KDEs (<xref ref-type="table" rid="T0002">Table 2</xref>). In both seasons, commercial farmland, plantations, urban centres and villages were used less than their availability in the 99% KDEs of the vultures (<xref ref-type="table" rid="T0002">Table 2</xref>).</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Habitat availability in pooled 99% kernel density estimate based on the reclassified land use map. Bonferroni confidence intervals were used to determine Cape Vulture habitat use in pooled 99% kernel density estimate.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Season</th>
<th align="center">Habitat type</th>
<th align="center">Contribution %</th>
<th align="center">Area (km2)</th>
<th align="center">Pi</th>
<th align="center">Pio</th>
<th align="center">Bonferroni CI</th>
<th align="center">Conclusion</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Non-breeding (23 877 km2)</td>
<td align="left">Commercial Farmland</td>
<td align="char" char=".">26</td>
<td align="char" char=".">6322</td>
<td align="char" char=".">0.147</td>
<td align="char" char=".">0.265</td>
<td align="char" char=".">0.131 &#x003C; <italic>P</italic> &#x003C;0.163<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Subsistence Farmland</td>
<td align="char" char=".">17</td>
<td align="char" char=".">4077</td>
<td align="char" char=".">0.241</td>
<td align="char" char=".">0.171</td>
<td align="char" char=".">0.221 &#x003C; <italic>P</italic> &#x003C;0.260<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Woody Vegetation</td>
<td align="char" char=".">8</td>
<td align="char" char=".">1886</td>
<td align="char" char=".">0.273</td>
<td align="char" char=".">0.079</td>
<td align="char" char=".">0.252 &#x003C; <italic>P</italic> &#x003C;0.293<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Plantation</td>
<td align="char" char=".">5</td>
<td align="char" char=".">1098</td>
<td align="char" char=".">0.006</td>
<td align="char" char=".">0.046</td>
<td align="char" char=".">0.002 &#x003C;<italic> P</italic> &#x003C;0.009<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Urban</td>
<td align="char" char=".">4</td>
<td align="char" char=".">1067</td>
<td align="char" char=".">0.018</td>
<td align="char" char=".">0.045</td>
<td align="char" char=".">0.012 &#x003C; <italic>P</italic> &#x003C;0.024<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Village</td>
<td align="char" char=".">28</td>
<td align="char" char=".">6772</td>
<td align="char" char=".">0.226</td>
<td align="char" char=".">0.284</td>
<td align="char" char=".">0.207 &#x003C; <italic>P</italic> &#x003C;0.245<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Protected Area</td>
<td align="char" char=".">11</td>
<td align="char" char=".">2655</td>
<td align="char" char=".">0.09</td>
<td align="char" char=".">0.111</td>
<td align="char" char=".">0.077 &#x003C;<italic> P</italic> &#x003C;0.103<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left">Breeding (24 664 km2)</td>
<td align="left">Commercial Farmland</td>
<td align="char" char=".">28</td>
<td align="char" char=".">6977</td>
<td align="char" char=".">0.136</td>
<td align="char" char=".">0.283</td>
<td align="char" char=".">0.120 &#x003C;<italic> P</italic> &#x003C; 0.151<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Subsistence Farmland</td>
<td align="char" char=".">15</td>
<td align="char" char=".">3799</td>
<td align="char" char=".">0.251</td>
<td align="char" char=".">0.154</td>
<td align="char" char=".">0.231 &#x003C;<italic> P</italic> &#x003C;0.271<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Woody Vegetation</td>
<td align="char" char=".">10</td>
<td align="char" char=".">2492</td>
<td align="char" char=".">0.286</td>
<td align="char" char=".">0.101</td>
<td align="char" char=".">0.265 &#x003C;<italic> P</italic> &#x003C;0.306<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Plantation</td>
<td align="char" char=".">5</td>
<td align="char" char=".">1174</td>
<td align="char" char=".">0.004</td>
<td align="char" char=".">0.048</td>
<td align="char" char=".">0.001 &#x003C; <italic>P</italic> &#x003C;0.007<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Urban</td>
<td align="char" char=".">5</td>
<td align="char" char=".">1318</td>
<td align="char" char=".">0.013</td>
<td align="char" char=".">0.053</td>
<td align="char" char=".">0.008 &#x003C; <italic>P</italic> &#x003C; 0.018<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Village</td>
<td align="char" char=".">27</td>
<td align="char" char=".">6552</td>
<td align="char" char=".">0.186</td>
<td align="char" char=".">0.266</td>
<td align="char" char=".">0.169 &#x003C;<italic> P</italic> &#x003C;0.204<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Not Preferred</td>
</tr>
<tr>
<td align="left"/>
<td align="left">Protected Area</td>
<td align="char" char=".">10</td>
<td align="char" char=".">2352</td>
<td align="char" char=".">0.124</td>
<td align="char" char=".">0.095</td>
<td align="char" char=".">0.109 &#x003C;<italic> P</italic> &#x003C;0.139<xref ref-type="fn" rid="tfn0002e">*</xref></td>
<td align="left">Preferred</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn0002a"><p>Non-breeding season (<italic>n</italic> = 3269).</p></fn>
<fn id="tfn0002b"><p>Breeding season (<italic>n</italic> = 3578).</p></fn>
<fn id="tfn0002c"><p><italic>Z</italic>, 2.69.</p></fn>
<fn id="tfn0002d"><p><italic>P</italic><sub>i</sub>, actual proportion of usage; <italic>P</italic><sub>io</sub>, expected proportion of usage; Bonferroni CI, Bonferroni confidence intervals.</p></fn>
<fn id="tfn0002e"><p>*, a significant difference at <italic>P</italic> &#x003C; 0.05.</p></fn>
<fn id="tfn0002f"><p>KDE, kernel density estimate.</p></fn>
</table-wrap-foot></table-wrap>
<fig id="F0004">
<label>FIGURE 4</label>
<caption><p>Cape Vulture (breeding and non-breeding season) locations overlaid on the land use map used for habitat analysis. MCP, minimum convex polygons.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="KOEDOE-57-1240-g004.tif"/>
</fig>
</sec>
</sec>
<sec id="s00011">
<title>Discussion</title>
<p>This study highlights the importance of subsistence farmland, rather than commercial farmland, as foraging habitat for Cape Vultures from the Msikaba colony. Although the results presented here are from a small and restructured sample size (<italic>n</italic> = 9), they illustrate the seasonal foraging and habitat selection patterns of the Cape Vulture in the southern node population.</p>
<p>Adult vultures from the Msikaba colony exhibited a well-defined foraging range. The tagged vultures did not participate in westerly migratory behaviour as previously reported by Boshoff <italic>et al.</italic> (<xref ref-type="bibr" rid="CIT0009">2009</xref>). Foraging ranges calculated as MCPs were found to overlap considerably in the breeding and non-breeding seasons. Other studies have also observed that the distance covered by vultures during the breeding season is similar to the non-breeding season, but foraging trips occurred less frequently in the early breeding season and during incubation (Bamford, Monadjem &#x0026; Hardy 2007; Kendall <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0026">2014</xref>; Spiegel <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0057">2013</xref>). The 50% core area around the breeding colony was oval shaped and extended towards KwaZulu-Natal with a radius ranging 17 km &#x2013; 46 km during the breeding season. During the non-breeding season the 50% KDE around the colony increased to a maximum radius of 52 km. The size of the core area around the colony was therefore larger than the proposed 40 km buffer (Boshoff &#x0026; Minnie <xref ref-type="bibr" rid="CIT0010">2011</xref>).</p>
<p>As the home range represents an area &#x2018;traversed by the individual in its normal activities of food gathering, mating and caring for young&#x2019; (Burt <xref ref-type="bibr" rid="CIT0017">1943</xref>), a smaller range may be explained by the abundance of food or suitable roosts in the environment. Formal protected areas were used more than expected during the breeding season, possibly because breeding sites were located in protected areas, not because there was more carrion available. As adult Cape Vultures were captured in the Mkambati Nature Reserve and two vultures were confirmed successful breeders, more time was spent at this locale.</p>
<p>Cape Vultures used formal protected areas less during the non-breeding season, while natural woody vegetation and subsistence farmlands were preferred. Use of natural woody vegetation by the vultures may have been misinterpreted because of the scale of the habitat classifications, as cliffs were not distinguished in the habitat classifications. Vultures did not necessarily use the woody vegetation, but the steep cliffs located above them, as roosting sites. Roost sites in the study area were typically located on isolated cliff faces with indigenous forest at the base (Boshoff &#x0026; Minnie <xref ref-type="bibr" rid="CIT0010">2011</xref>; pers. obs.).</p>
<p>The two 50% KDEs created during the non-breeding season were both located in subsistence farmland that contains only one formal (registered with EWT or Ezemvelo KZN Wildlife) vulture feeding site, which was located in the Mkambati Nature Reserve. Other studies have found that African vultures use subsistence farmland less (Bamford <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0001">2007</xref>; Bamford <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0002">2009</xref>). This could be explained by different livestock carcass management (burning or burying) or over-harvesting of forest resources, which prevent tree-nesting vulture species from inhabiting these areas (Monadjem &#x0026; Garcelon <xref ref-type="bibr" rid="CIT0032">2005</xref>). In the former Transkei, carrion may be more readily available because of inadequate animal husbandry and abundant tick-borne diseases (Shackleton <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0054">2013</xref>). Strong cultural traditions may provide another scavenging opportunity for vultures: during traditional ceremonies, local amaXhosa people slaughter and butcher animals, the leftovers of which are discarded for vultures and other scavengers (Pfeiffer pers. obs.).</p>
<p>Commercial farmland areas were used less than expected during both seasons, despite the presence of formal vulture feeding sites. However, the northernmost 50% KDE in the breeding season was located near multiple vulture feeding sites. (One feeding site was located inside the northernmost 50% KDE.) The number of fixes a day in the current study (six a day including roosting locations) may have been insufficient to identify feeding events, which may have resulted in underestimating the use of vulture feeding sites. Furthermore, Cape Vultures can be grounded at roost sites for long periods of time because of adverse soaring conditions. Accordingly, these results may overestimate roosting locations and underestimate feeding events (Monsarrat <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0033">2013</xref>; Spiegel <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0057">2013</xref>). Future research should use higher resolution GPS data in order to identify feeding events and then calculate habitat use.</p>
<sec id="s20012">
<title>Conservation implications</title>
<p>The findings presented here highlight the relatively small foraging ranges of adult Cape Vultures from the Msikaba colony and their extensive use of subsistence farmland. Conservation efforts should focus on mitigating threats to vultures in the 50% KDEs, which are mainly located in subsistence farmland. Three local municipalities (Ingquza Hill, Mbizana and Umzimkhulu) were represented in both the breeding and non-breeding season 50% KDEs. On-the-ground conservation projects by provincial staff and relevant non-government organisations should be conducted in these areas. As some Cape Vulture core areas differed between the breeding and non-breeding seasons, other local municipal districts could be targeted based on the time of the year. During the breeding season (May to October), Impendle, uMngeni and Mpofana local municipalities were represented in the 50% KDEs. In the non-breeding season (November &#x2013; April), Hibiscus Coast, Ezinqoleni, uMuziwabantu and Ubuhlebezwe local municipalities were represented and should be targeted for conservation projects during these months.</p>
<p>Based on these results, it is recommended that buffers around Cape Vulture colonies in the southern node population be increased from 40 km to 50 km. For Cape Vulture roost sites, 40 km buffers appear to be sufficient. In certain areas where this may be in conflict with development, a combination of GPS tracking data and risk assessment modelling should be used to construct conservation priority areas (Katzner <italic>et al.</italic> <xref ref-type="bibr" rid="CIT0025">2012</xref>).</p>
</sec>
</sec>
<sec id="s00013">
<title>Conclusion</title>
<p>Although vultures are far-ranging foragers that will never be fully secure within protected areas, it is essential to identify and proclaim conservation buffers. Tracking of a small sample of adult Cape Vultures from one colony has successfully identified the main foraging areas of vultures from that colony, and perhaps in the region. These areas can be targeted in focused strategic action plans aimed at avoiding or reducing the mortality of vultures. It will only be with the collaboration of communities, policy makers, conservation organisations and provincial governments that this regionally endangered vulture species will survive.</p>
</sec>
</body>
<back>
<ack><title>Acknowledgments</title>
<p>The Gay Langmuir bursary, the Rufford Grant, the University of KwaZulu-Natal, and the Eastern Cape Parks and Tourism Agency are thanked for research funding. Thank you to V. Mapiya and the staff of the Mkambati Nature Reserve for field assistance. The Mazda Wildlife Fund is thanked for vehicle assistance. J. Greeff, B. Hoffman, S. Kruger, S. McPherson, M. and K. Bowker, C. and K. Nelson, D. Berens, M. Witteveen, D. Allan, S. Heuner, A. Botha and VulPro are thanked for helping with the capture of the vultures. Field work was conducted in accordance to the laws of South Africa. Permits for vulture captures were granted by the Department of Environmental Affairs (TOPS Permit Nr. 05052) and approved by the ethics committee of the University of KwaZulu-Natal.</p>
<sec id="s20014">
<title>Competing interests</title>
<p>The authors declare that they have no financial or personal relationships which may have inappropriately influenced them in writing this article.</p>
</sec>
<sec id="s20015">
<title>Authors&#x2019; contributions</title>
<p>M.B.P. (University of KwaZulu-Natal) was the project leader. M.B.P., J.A.V. (Department of Biodiversity Conservation) and C.T.D. (University of KwaZulu-Natal) conceived and designed the experiments. M.B.P was responsible for performing the experiments and analysing the data. M.B.P., J.A.V. and C.T.D. wrote the article.</p>
</sec>
</ack>
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<app-group>
<app id="app0001">
<title>Appendix 1</title>
<table-wrap id="T0003">
<label>TABLE A1</label>
<caption><p>Land use map reclassified categories. Original land use categories were based on the 2000 South African National Land Cover Database (South African National Botanical Institute 2000).</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="left">Original Land Use Category</th>
<th align="center">Reclassified Land Use Category</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Forest (indigenous)</td>
<td align="left">Woody vegetation</td>
</tr>
<tr>
<td align="left">Woodland</td>
<td align="left">Woody vegetation</td>
</tr>
<tr>
<td align="left">Thicket, bushland, bush clumps, high fynbos</td>
<td align="left">Woody vegetation</td>
</tr>
<tr>
<td align="left">Shrubland and low fynbos</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Natural grassland</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Planted grassland</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Forest Plantations (<italic>Eucalyptus</italic>
spp.)</td>
<td align="left">Plantation</td>
</tr>
<tr>
<td align="left">Forest Plantations (Pine spp.)</td>
<td align="left">Plantation</td>
</tr>
<tr>
<td align="left">Forest Plantations (<italic>Acacia</italic> spp.)</td>
<td align="left">Plantation</td>
</tr>
<tr>
<td align="left">Forest Plantations (other/mixed spp.)</td>
<td align="left">Plantation</td>
</tr>
<tr>
<td align="left">Forest plantations (clearfelled)</td>
<td align="left">Plantation</td>
</tr>
<tr>
<td align="left">Water bodies</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Wetlands</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Bare rock and soil (natural)</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Bare rock and soil (erosion: dongas/gullies)</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Bare rock and soil (erosion: sheet)</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Degraded forest and woodland</td>
<td align="left">Woody vegetation</td>
</tr>
<tr>
<td align="left">Degraded thicket, bushland</td>
<td align="left">Woody vegetation</td>
</tr>
<tr>
<td align="left">Degraded shrubland and low fynbos</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Degraded unimproved (natural) grassland</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
<tr>
<td align="left">Cultivated, permanent, commercial, irrigated</td>
<td align="left">Commercial farmland</td>
</tr>
<tr>
<td align="left">Cultivated, permanent, commercial, dryland</td>
<td align="left">Commercial farmland</td>
</tr>
<tr>
<td align="left">Cultivated, permanent, commercial, sugarcane</td>
<td align="left">Commercial farmland</td>
</tr>
<tr>
<td align="left">Cultivated, temporary, commercial, irrigated</td>
<td align="left">Commercial farmland</td>
</tr>
<tr>
<td align="left">Cultivated, temporary, commercial, dryland</td>
<td align="left">Commercial farmland</td>
</tr>
<tr>
<td align="left">Cultivated, temporary, subsistence, dryland</td>
<td align="left">Subsistence farmland</td>
</tr>
<tr>
<td align="left">Cultivated, temporary, subsistence, irrigated</td>
<td align="left">Subsistence farmland</td>
</tr>
<tr>
<td align="left">Urban/built-up</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (rural cluster)</td>
<td align="left">Village</td>
</tr>
<tr>
<td align="left">Urban/built-up (residential, formal suburbs)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (residential, flatland)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (residential, mixed)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (residential, hostels)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (residential, formal township)</td>
<td align="left">Village</td>
</tr>
<tr>
<td align="left">Urban/built-up (residential, informal township)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (informal squatter camp)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (smallholdings)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (commercial, mercantile)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (commercial, education, health, IT)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Urban/built-up (industrial/transport: heavy, light)</td>
<td align="left">Urban</td>
</tr>
<tr>
<td align="left">Mines and quarries (subsurface mining)</td>
<td align="left">Commercial or subsistence farmland</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="tfn0003a"><p>Note: A 2 km buffer was added to urban and village layers. This layer was merged with the formal protected areas of South Africa and Lesotho (International Union for the Conservation of Nature and Natural Resources and United Nations Environment Programme&#x0027;s World Conservation Monitoring Centre 2014). Land use was classified as commercial or subsistence based on its location to the former Transkei political boundaries.</p></fn>
</table-wrap-foot></table-wrap>
<fig id="F0005">
<label>FIGURE A1</label>
<caption><p>Land use map used for habitat analysis detailing the political boundaries of the former Transkei and Lesotho.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="KOEDOE-57-1240-g005.tif"/>
</fig>
<fig id="F0006">
<label>FIGURE A2</label>
<caption><p>Incremental area analysis of minimum convex polygons of adult Cape Vultures (<italic>Gyps coprotheres</italic>) in relation to number of global positioning system location fixes for (a) the non-breeding season and (b) the breeding season, indicating that foraging range asymptotes were reached during each season.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="KOEDOE-57-1240-g006.tif"/>
</fig>
</app>
</app-group>
</back>
</article>