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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ABC</journal-id>
<journal-title-group>
<journal-title>Bothalia - African Biodiversity &#x0026; Conservation</journal-title>
</journal-title-group>
<issn pub-type="ppub">0006-8241</issn>
<issn pub-type="epub">2311-9284</issn>
<publisher>
<publisher-name>AOSIS</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">ABC-46-2118</article-id>
<article-id pub-id-type="doi">10.4102/abc.v46i2.2118</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Identifying ecosystem service hotspots for environmental management in Durban, South Africa</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Davids</surname>
<given-names>Rashieda</given-names>
</name>
<xref ref-type="aff" rid="AF0001">1</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Rouget</surname>
<given-names>Mathieu</given-names>
</name>
<xref ref-type="aff" rid="AF0002">2</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Boon</surname>
<given-names>Richard</given-names>
</name>
<xref ref-type="aff" rid="AF0003">3</xref>
<xref ref-type="aff" rid="AF0005">5</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Roberts</surname>
<given-names>Debra</given-names>
</name>
<xref ref-type="aff" rid="AF0004">4</xref>
<xref ref-type="aff" rid="AF0005">5</xref>
</contrib>
<aff id="AF0001"><label>1</label>School of Agricultural, Earth and Environmental Sciences, University of KwaZulu-Natal, South Africa</aff>
<aff id="AF0002"><label>2</label>Centre for Invasion Biology, School of Agriculture, Earth and Environmental Sciences, University of KwaZulu-Natal, South Africa</aff>
<aff id="AF0003"><label>3</label>Environmental Planning and Climate Protection Department, eThekwini Municipality, Durban, South Africa</aff>
<aff id="AF0004"><label>4</label>Sustainable and Resilient City Initiatives Unit, eThekwini Municipality, South Africa</aff>
<aff id="AF0005"><label>5</label>School of Life Sciences, University of KwaZulu-Natal, South Africa</aff>
</contrib-group>
<author-notes>
<corresp id="cor1"><bold>Corresponding author:</bold> Rashieda Davids, <email xlink:href="rashieda@enviroheart.co.za">rashieda@enviroheart.co.za</email></corresp>
</author-notes>
<pub-date pub-type="epub"><day>05</day><month>12</month><year>2016</year></pub-date>
<pub-date pub-type="collection"><year>2016</year></pub-date>
<volume>46</volume>
<issue>2</issue>
<elocation-id>2118</elocation-id>
<history>
<date date-type="received"><day>05</day><month>06</month><year>2016</year></date>
<date date-type="accepted"><day>04</day><month>10</month><year>2016</year></date>
</history>
<permissions>
<copyright-statement>&#x00A9; 2016. The Authors</copyright-statement>
<copyright-year>2016</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/2.0/">
<license-p>AOSIS. This work is licensed under the Creative Commons Attribution License.</license-p>
</license>
</permissions>
<abstract>
<sec id="st1">
<title>Background</title>
<p>Despite considerable research into the importance of ecosystem services, little has been achieved in translating such research into management action. In an urban context where numerous pressures on ecosystem services exist, the identification and management of priority ecosystem services areas are vital to ensure the ongoing provision of these services.</p>
</sec>
<sec id="st2">
<title>Method</title>
<p>To identify opportunities for securing a sustainable supply of ecosystem services for the city of Durban, this paper identifies ecosystem service priority areas, called hotspots, and assesses their spatial congruence with critical biodiversity areas (CBAs), conservation areas, the Durban Metropolitan Open Space System (D&#x2019;MOSS) and land ownership categories, using spatial overlap and correlation analyses. Hotspots for 13 ecosystem services were identified and analysed, including carbon storage, nutrient retention, sediment retention, water supply and flood attenuation.</p>
</sec>
<sec id="st3">
<title>Results</title>
<p>The study found generally weak correlations between ecosystem service hotspots and CBAs and conservation areas. On average, 30&#x0025; of the 13 ecosystem services hotspots were located within terrestrial CBAs, 51&#x0025; within the D&#x2019;MOSS, with nominal overlaps of 0.3&#x0025;, 3.9&#x0025; and 5.07&#x0025; within estuaries and freshwater CBAs and conservation areas, respectively. The majority of ecosystem service hotspots were located within communally (41&#x0025;) or privately owned (27&#x0025;) lands.</p>
</sec>
<sec id="st4">
<title>Conclusion</title>
<p>The results indicated that substantial portions of hotspot areas lie outside of formally regulated and managed conservation areas and remain vulnerable to human impact and habitat degradation. The study identified management areas and options that could yield maximum benefits; including the need for the development of an ecosystem services management and protection strategy, the selection of areas for co-management of ecosystem service hotspots and CBAs and the need for collaborative management.</p>
</sec>
</abstract>
</article-meta>
</front>
<body>
<sec id="s0001">
<title>Introduction</title>
<p>Ecosystems and the services they provide are essential in ensuring human well-being and providing the basis for sustainable socio-economic development (South African Department of Environmental Affairs (DEA) <xref ref-type="bibr" rid="CIT0043">2011</xref>). The global population is predicted to grow from 7.3 billion in 2015 to 11.2 billion in 2100 (United Nations, Department of Economic and Social Affairs (UN DESA) <xref ref-type="bibr" rid="CIT0051">2015</xref>). Approximately 60&#x0025; of the world&#x2019;s ecosystem services (17 of the 21 assessed), including fisheries and fresh water, is already degraded or used unsustainably (Millennium Ecosystem Assessment (MEA) <xref ref-type="bibr" rid="CIT0028">2005</xref>). Globally, humans are at risk of pushing earth systems out of the fairly stable, 11 700-year long Holocene epoch, to a state likely to be much less hospitable for anthropogenic development (Intergovernmental Panel on Climate Change (IPCC) <xref ref-type="bibr" rid="CIT0021">2012</xref>, <xref ref-type="bibr" rid="CIT0022">2013</xref>; Steffen <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0046">2004</xref>, <xref ref-type="bibr" rid="CIT0045">2015</xref>). This unsustainable development path is expected to have implications for ecosystem services and human well-being (McGranahan <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0027">2005</xref>). In Africa, where the population is expected to increase from 1.2 billion to 4.3 billion between 2015 and 2100 (UN DESA <xref ref-type="bibr" rid="CIT0051">2015</xref>), the capacity of natural resources to produce ecosystem services has already declined as a result of inappropriate management, threatening the social and economic value of these services for the human societies they support (Munang <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0029">2011</xref>).</p>
<p>It was clear from the Millennium Ecosystem Assessment (MEA <xref ref-type="bibr" rid="CIT0028">2005</xref>) that the management and protection of ecosystem services is vital to support human development. Subsequent to the findings of the MEA has been the rapid growth in science and policy attention on the subject (Convention on Biological Diversity (CBD) <xref ref-type="bibr" rid="CIT0003">2010</xref>; Daily <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0006">2009</xref>; Intergovernmental Science-Policy Platform on Biodiversity and Ecosystem Services (IPBES) <xref ref-type="bibr" rid="CIT0049">2012</xref>; TEEB Foundations <xref ref-type="bibr" rid="CIT0048">2010</xref>). Several policies and strategies focused on the conservation of biodiversity &#x2013; defined as the variability, diversity and ecological complexes amongst living organisms, species and ecosystems (Republic of South Africa <xref ref-type="bibr" rid="CIT0037">2004</xref>) &#x2013; now explicitly also include objectives to monitor, assess and protect ecosystem services (e.g. CBD <xref ref-type="bibr" rid="CIT0003">2010</xref>, EC 2010). For example, IPBES was established with the key objective to ensure long-term human well-being and sustainable development, through the conservation and sustainable use of biodiversity and ecosystem services (CBD <xref ref-type="bibr" rid="CIT0003">2010</xref>, IPBES <xref ref-type="bibr" rid="CIT0049">2012</xref>). The Economics of Ecosystems and Biodiversity (TEEB) initiative undertaken by the UN Environment Programme and initiated in 2007 (TEEB Foundations <xref ref-type="bibr" rid="CIT0048">2010</xref>) was aimed at mainstreaming the values of biodiversity and ecosystem services into decision-making at all levels (Costanza <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0004">2014</xref>). Many countries have welcomed the findings from TEEB and plan to take some of the recommendations forward (Kumar &#x0026; Martinez-Alier <xref ref-type="bibr" rid="CIT0024">2011</xref>).</p>
<p>However, many challenges remain in translating scientific knowledge generated through biodiversity and ecosystem services assessments to real-world decision making (Ruckelshaus <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0040">2015</xref>). These include the identification of priority ecosystem service areas and the appropriate planning, protection and management of these through policy, or public and private sector practise (Goldman <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0019">2008</xref>; Laurans <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0025">2013</xref>).</p>
<p>Aligning ecosystem services and biodiversity objectives became a common conservation strategy to address these challenges, subsequent to the findings of studies on local to regional scale that identified the coincidence of ecosystem service value with biodiversity. The establishment of protected areas was identified as a tool to ensure biodiversity conservation and safeguard ecosystem services (Chan <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0002">2006</xref>; Naidoo &#x0026; Adamowicz <xref ref-type="bibr" rid="CIT0031">2005</xref>; Naidoo &#x0026; Ricketts <xref ref-type="bibr" rid="CIT0032">2006</xref>; Turner <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0050">2007</xref>). It is known that effectively managed protected areas augment ecosystem services linked to natural areas, such as water regulation, soil and climate (Willemen <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0054">2013</xref>) and that high levels of biodiversity can play a significant role in either regulating processes and functions of ecosystem services or directly providing them (Balvanera <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0001">2006</xref>; Diaz <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0007">2005</xref>). Evidence shows that increased biodiversity has positive effects on ecosystem services (Balvanera <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0001">2006</xref>; Diaz <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0007">2005</xref>); however, it is still unclear whether the level of co-occurrence of ecosystems services and biodiversity could allow for synergies towards the achievement of objectives for both (Balvanera <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0001">2006</xref>; Turner <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0050">2007</xref>). In cities, there are limited options for managing biodiversity given competing demands for land. For example, in Durban, South Africa, environmental transformation and degradation continue to increase, as substantial human need and poverty still exist (Roberts &#x0026; O&#x2019;Donoghue <xref ref-type="bibr" rid="CIT0039">2013</xref>). This adds to the complexities in managing biodiversity and ecosystem services in an urban context.</p>
<p>Another key challenge for environmental management, as emphasised by Escobedo <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0011">2011</xref>), is the willingness of planners and decision-makers to assess ecosystem services against ecosystem disservices (Lyytim&#x00E4;ki &#x0026; Sipil&#x00E4; <xref ref-type="bibr" rid="CIT0026">2009</xref>). Ecosystem disservices are classified as the nuisances or negative effects to humans from natural or human-impacted ecosystems, such as biological hazards, invasive species, floods, storms, heat waves and pests (Lyytim&#x00E4;ki &#x0026; Sipil&#x00E4; <xref ref-type="bibr" rid="CIT0026">2009</xref>; von D&#x00F6;hren &#x0026; Haase <xref ref-type="bibr" rid="CIT0053">2015</xref>). The consideration of ecosystem disservices may add a valuable dimension to the ecosystem services management debate; however, in this study we focussed only on beneficial ecosystem services.</p>
<p>In an attempt to identify synergies for the management and protection of selected ecosystem services with biodiversity, this paper uses the greater Durban area (also known as the eThekwini Municipal Area (EMA)) as a case study to identify important areas for ecosystem services provision (called &#x2018;ecosystem service hotspots&#x2019;) of 13 ecosystem services. We assesses the extent to which these areas are identified as conservation priorities in relation to the eThekwini Municipality Draft Systematic Conservation Plan (<xref ref-type="bibr" rid="CIT0014">2012b</xref>); namely, (1) as critical biodiversity areas, (2) as conservation areas and (3) as part of the Durban Metropolitan Open Space System (D&#x2019;MOSS). We then assess their distribution relative to various categories of ownership and propose opportunities for the protection and management of ecosystem service hotspots in an urban context through policy and practise.</p>
<p>Recent regional and international studies have only considered a limited number of ecosystem services (usually between four and six) (Chan <xref ref-type="bibr" rid="CIT0002">2006</xref>; Egoh <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0010">2009</xref>; Jantz &#x0026; Manuel <xref ref-type="bibr" rid="CIT0023">2013</xref>; Pan, Xu &#x0026; Wu <xref ref-type="bibr" rid="CIT0034">2013</xref>). The availability in Durban of 13 ecosystem service layers (Glenday <xref ref-type="bibr" rid="CIT0018">2012</xref>, <xref ref-type="table" rid="T0001">Table 1</xref>) therefore offered a good opportunity to analyse spatially a larger number of individual ecosystem services on the local scale. These ecosystem service layers were identified to inform the conservation planning process within the municipality and to facilitate the selection of priority areas where management efforts would yield maximum benefits. The current study aimed to further inform the conservation planning process by answering the following questions:</p>
<list list-type="bullet">
<list-item><p>Where are the most significant areas providing the 13 ecosystem services in eThekwini Municipality, i.e. ecosystem service hotspots?</p></list-item>
<list-item><p>What is the spatial congruence of ecosystem service hotspots?</p></list-item>
<list-item><p>What is the spatial congruence of ecosystem service hotspots and critical biodiversity and conservation areas?</p></list-item>
<list-item><p>How do the ecosystem service hotspots align with the existing environmental policy layer: D&#x2019;MOSS?</p></list-item>
<list-item><p>How are the ecosystem service hotspots distributed relative to land ownership?</p></list-item>
<list-item><p>This study contributes towards bridging the gap between planning and implementation of ecosystem services in Durban.</p></list-item>
</list>
<table-wrap id="T0001">
<label>TABLE 1</label>
<caption><p>Ecosystem functions and their contribution to the services.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Function</th>
<th valign="top" align="left">Service</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Carbon storage</td>
<td align="left">1. Mitigating global climate change</td>
</tr>
<tr>
<td align="left">Flood attenuation</td>
<td align="left">2. Reducing negative flood impacts on populations living in floodplain areas (loss of life, loss of quality of life)</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">3. Reducing flood damage to private property</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">4. Reducing flood damage to public infrastructure</td>
</tr>
<tr>
<td align="left">Run-off production</td>
<td align="left">5. Providing water supply to dams</td>
</tr>
<tr>
<td align="left">Erosion prevention and sediment trapping</td>
<td align="left">6. Reducing need for harbour dredging</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">7. Reducing loss of dam capacity to sedimentation</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">8. Reducing sewer pipe maintenance because of sedimentation</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">9. Reducing stormwater pipe and culvert maintenance because of sedimentation</td>
</tr>
<tr>
<td align="left">Retention of nutrients (nitrogen and phosphorus) in runoff</td>
<td align="left">10. Nitrogen retention for improving water quality in dams (reducing harmful algal blooms, filtration needed for domestic water supplies, alien water plant proliferation, and dam system maintenance)</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">11. Phosphorus retention for improving water quality in dams</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">12. Nitrogen retention for improving water quality in estuaries for fisheries and recreation</td>
</tr>
<tr>
<td align="left"></td>
<td align="left">13. Phosphorus retention for improving water quality in estuaries for fisheries and recreation</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Source:</italic> Glenday <xref ref-type="bibr" rid="CIT0018">2012</xref>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s0002">
<title>Research method and design</title>
<sec id="s20003">
<title>Study area</title>
<p>The EMA is situated in the province of KwaZulu-Natal, South Africa, and is administered by eThekwini Municipality, a local government authority. The municipal area is approximately 229 193 ha in extent (1.4&#x0025; of the province), with a coastline that stretches for 98 km, and which is dissected by the rivers of 18 major water catchments and 16 estuaries. The population of eThekwini Municipality was 3.55 million in 2015. Between 2012 and 2013, the population growth rate was 0.9&#x0025; (eThekwini Municipality <xref ref-type="bibr" rid="CIT0015">2013a</xref>). Approximately two-thirds of the municipal area is rural or semi-rural, where a large portion of the population is indigent and directly reliant on ecosystem services for basic needs (Roberts &#x0026; O&#x2019;Donoghue <xref ref-type="bibr" rid="CIT0039">2013</xref>).</p>
<p>Numerous pressures on biodiversity and ecosystem services provision are present within the EMA. The greatest of these are considered to be habitat destruction, invasive alien species and pollution (eThekwini Municipality <xref ref-type="bibr" rid="CIT0013">2012a</xref>). Since 1982, a process of identifying biodiversity priority areas in Durban has been undertaken by a range of institutions. The first open space plan known as D&#x2019;MOSS was approved by the former Durban Council in 1989 and since 1994 the further development of the plan has been the responsibility of the Environmental Planning and Climate Protection Department (EPCPD) of the eThekwini Municipality. D&#x2019;MOSS is a formal policy layer, including a series of interconnected open spaces that incorporate areas of high biodiversity value and natural areas. The purpose of D&#x2019;MOSS is to protect the globally significant biodiversity and ecosystem services within the city (Roberts &#x0026; O&#x2019;Donoghue <xref ref-type="bibr" rid="CIT0039">2013</xref>). D&#x2019;MOSS was incorporated into the eThekwini Municipal Town Planning Schemes in 2010 as a controlled development layer (Roberts &#x0026; O&#x2019;Donoghue <xref ref-type="bibr" rid="CIT0039">2013</xref>), representing the first time that an open space plan had been officially incorporated into the town planning schemes of a major metropolitan area in South Africa.</p>
</sec>
</sec>
<sec id="s0004">
<title>Data</title>
<sec id="s20005">
<title>Ecosystem services</title>
<p>In 2012, the EPCPD commissioned the mapping of 13 ecosystem services, namely carbon storage, water yield (to dams), three flood attenuation services (relevant to the population, private and public infrastructure), four sediment retention services (preventing sedimentation of dams, stormwater and sewer pipes and the harbour) and four nutrient retention services (phosphorus and nitrogen relative to both dams and estuaries) (<xref ref-type="table" rid="T0001">Table 1</xref>). These ecosystem services were chosen in a workshop that included officials and managers from the EPCPD and the Coastal Stormwater and Catchment Management Department, based on the demand for those services in relation to the service mandates of these municipal departments. The 13 spatial layers representing these ecosystem services were produced using the InVEST mapping tool developed by the Natural Capital Project, which allows key or priority ecosystem services to be identified based on a number of factors, either contributing to or impacting on selected ecosystem services (Glenday <xref ref-type="bibr" rid="CIT0018">2012</xref>).</p>
<p>The original ecosystem service layers were linked to a standard 86.9 m resolution grid and were rescaled to values ranging from 0 to 100 to indicate relative service provision compared to the maximum found in the EMA (Glenday <xref ref-type="bibr" rid="CIT0018">2012</xref>). The ecosystem services were assessed per grid cell in ArcGIS 9.3 and estimated based on land cover, location and biophysical properties. The demand for that service in that grid cell location was estimated based on its position relative to populations, property and infrastructure located downstream, along land surface and river channel flow paths (Glenday <xref ref-type="bibr" rid="CIT0018">2012</xref>).</p>
</sec>
<sec id="s20006">
<title>Critical biodiversity areas</title>
<p>The following three critical biodiversity areas (areas of high conservation significance) were extracted from the eThekwini Municipality (Draft Systematic Conservation Plan <xref ref-type="bibr" rid="CIT0014">2012b</xref>) for this study:</p>
<list list-type="bullet">
<list-item><p>Terrestrial critical biodiversity areas (<xref ref-type="fig" rid="F0006">Figure 1a-A1</xref>): These are land-based areas of high conservation significance selected to meet targets for various biodiversity features and processes.</p></list-item>
<list-item><p>Estuarine critical biodiversity areas (<xref ref-type="fig" rid="F0006">Figure 1b-A1</xref>): Despite the fact that the Draft Systematic Conservation Plan selected only 14 of the 16 estuaries in the EMA, given the significant habitat loss of estuarine areas (as defined by the 5 m contour) within the municipal area and the highly conservative species targets used, for the purposes of the conservation plan, all 16 estuaries were classified as critical biodiversity areas.</p></list-item>
<list-item><p>Freshwater critical biodiversity areas (<xref ref-type="fig" rid="F0006">Figure 1b-A1</xref>): These included riparian corridors and all mapped wetland systems.</p></list-item>
<list-item><p>The original vector files were converted to raster grids and standardised to the ecosystem services raster files.</p></list-item>
</list>
<sec id="s30007">
<title>Durban Metropolitan Open Space System</title>
<p>The version of the D&#x2019;MOSS layer, approved by eThekwini Council in December 2010, was obtained from eThekwini Municipality, converted to a raster grid and standardised to the ecosystem service raster (<xref ref-type="fig" rid="F0006">Figure 1c-A1</xref>, eThekwini Municipality). Currently, only ~10&#x0025; of the D&#x2019;MOSS area is protected and 8.6&#x0025; is managed (e.g. through appropriate conservation zoning, conservation servitudes and land acquisition) (eThekwini Municipality <xref ref-type="bibr" rid="CIT0017">2015</xref>). The D&#x2019;MOSS areas that fall outside of formally managed areas are identified for protection on an ongoing basis, based on an internal prioritisation process, through <italic>inter alia</italic> land acquisition and stewardship programmes, or through conservation servitudes, which are used to secure D&#x2019;MOSS areas as a condition of approval for new developments.</p>
</sec>
</sec>
<sec id="s20008">
<title>Conservation areas</title>
<p>Conservation area data <xref ref-type="table" rid="T000A1">Table 1-A1</xref>, <xref ref-type="fig" rid="F0006">Figure 1b-A1</xref> were obtained from eThekwini Municipality (<xref ref-type="bibr" rid="CIT0014">2012b</xref>) and converted to a raster grid. These areas include land that has been secured for conservation purposes by any binding legal or other agreement, including areas that have been proclaimed, municipal, state and private nature reserves, where conditions have been imposed by the title deed such as a servitude. In most cases, these protection measures were instituted by the EPCPD as part of securing D&#x2019;MOSS (Roberts &#x0026; O&#x2019;Donoghue <xref ref-type="bibr" rid="CIT0039">2013</xref>).</p>
<p>In 2012, all land that was zoned for conservation on private property, state or eThekwini Municipality owned property was included in the conservation area data layer (eThekwini Municipality <xref ref-type="bibr" rid="CIT0014">2012b</xref>). Some of these zones, however, have since been rescinded because of technicalities relating to the incorporation of those zones in the relevant schemes, and those areas have thus been excluded from this study.</p>
</sec>
<sec id="s20009">
<title>Land ownership</title>
<p>The spatial layer containing all land ownership information was obtained from eThekwini Municipality and was converted to a raster grid. The ownership data contained numerous parcels that did not have any ownership information, shown as &#x2018;No data&#x2019; in <xref ref-type="fig" rid="F0006">Figure 1d-A1</xref> Five categories of ownership exist within the EMA (<xref ref-type="fig" rid="F0006">Figure 1d-A1</xref>), namely (1) municipal owned; (2) state owned (national and provincial government); (3) parastatal owned; (4) privately owned and 5) Ingonyama Trust Board administered (communal ownership). A brief description of each ownership category is provided below.</p>
<p>eThekwini Municipality is the local authority responsible for managing and planning the EMA, including the city of Durban. The municipality owns approximately 9970 ha (4.3&#x0025;) of land, of which the natural areas constitute nature reserves, parks, public open spaces and land acquired for environmental protection. The natural areas are largely managed by two municipal departments, namely the EPCPD and the Natural Resources Division of the Parks, Leisure and Cemeteries Department. These departments undertake various environmental protection and management activities, including conservation planning to identify priority biodiversity and ecosystem service areas, biodiversity impact assessment and regulation (including providing comments on Environmental Impact Assessments as part of development applications), land acquisition, implementation of various town planning tools (e.g. conservation servitudes, special rating areas and rezoning), invasive alien species control, fire management and biodiversity stewardship (eThekwini Municipality <xref ref-type="bibr" rid="CIT0012">2011a</xref>, <xref ref-type="bibr" rid="CIT0015">2013a</xref>, <xref ref-type="bibr" rid="CIT0016">2014</xref>; Roberts &#x0026; O&#x2019;Donoghue <xref ref-type="bibr" rid="CIT0039">2013</xref>).</p>
<p>State-owned land constitutes approximately 9175 ha (4.0&#x0025;) of the municipal area. Ezemvelo KwaZulu-Natal Wildlife is the statutory nature conservation body mandated to protect natural resources, manage biodiversity and implement and enforce both national and provincial conservation legislation in the province of KwaZulu-Natal. This body manages six formally proclaimed nature reserves which is a sub-set of the state-owned land in the municipal area (Dube <xref ref-type="bibr" rid="CIT0009">2011</xref>).</p>
<p>Parastals own approximately 3405 ha (1.5&#x0025;) of land within the municipal area and include Umgeni Water, South African Rail Commuter Corporation (PRASA) and South African Roads Agency (SANRAL). Some of these agencies have various types of environmental management programmes in place, including management of certain conservation areas in Durban (e.g. Shongweni Resources Reserve and Bayhead Mangroves).</p>
<p>Ingonyama Trust Board (ITB), which administers large areas of communal lands, was established in terms of the KwaZulu-Natal Ingonyama Trust Act (Act 3 of 1994). The Board is the landowner-in-law of some 2 700 000 hectares in Kwazulu-Natal, under the jurisdiction of 250 traditional councils (Ingonyama Trust Board <xref ref-type="bibr" rid="CIT0020">2012</xref>). Of this total, approximately 82 266 ha (35.8&#x0025;) are located within the rural hinterland in the northwest and southwest areas of the municipality, where communities depend on ecosystem services to meet their basic and service needs (Sutherland <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0047">2014</xref>). The primary function of the Ingonyama Trust Board is to improve the quality of life of the people living on Ingonyama Trust land and to manage the land for the benefit and social well-being of the individual members of the tribes (Ingonyama Trust Board <xref ref-type="bibr" rid="CIT0020">2012</xref>). Whilst municipal plans show these ITB areas to be rural, the current rate of development that is taking place without development restrictions or planning is resulting in the rapid transformation of these areas through the construction of new residential developments (Sim, Sutherland &#x0026; Scott <xref ref-type="bibr" rid="CIT0044">2016</xref>).</p>
<p>Approximately 82 796 ha (36.0&#x0025;) of land is privately owned within the municipal area. Of this just over 1000 ha (&#x003C; 2&#x0025;) (<xref ref-type="table" rid="T000A1">Table 1-A1</xref>) is subject to some form of environmental management and includes areas that (1) form part of stewardship programmes currently offered by Ezemvelo KwaZulu-Natal Wildlife (i.e. a private nature reserve that is actively managed); (2) are listed as special rating areas<xref ref-type="fn" rid="FN0001"><sup>1</sup></xref>; (3) hold environmental rates certificates in line with the eThekwini Municipality Rates Policy, requiring management in line with an approved management plan; and (4) have registered non-user conservation servitudes.</p>
<p>Approximately 42 405 ha (18.4&#x0025;) of land within the EMA did not have ownership data available. Reasons for this include the fact that a large number of parcels were not registered at the time of mapping. The majority of areas that do not contain ownership information include roads and rivers.</p>
<p>The assessment of ecosystem service hotspots in relation to ownership categories was included to provide insight into the potential opportunities and challenges for the protection and management of ecosystem services in Durban.</p>
</sec>
</sec>
<sec id="s0010">
<title>Analysis</title>
<sec id="s20011">
<title>Ecosystem service hotspots</title>
<p>The aim of the study was to identify ecosystem service hotspots and to analyse hotspots in terms of their distribution relative to critical biodiversity and conservation areas, D&#x2019;MOSS and land ownership within the EMA. The term &#x2018;biodiversity hotspot&#x2019;, as proposed by Norman Myers in the 1980s, is commonly used to prioritise areas for biodiversity conservation and refers to areas of high species richness, endemism and threat (Myers <xref ref-type="bibr" rid="CIT0030">1988</xref>). Whilst threats and endemism were not considered in this study, the term &#x2018;ecosystem service hotspot&#x2019; refers here to important ecosystem service provisioning areas based on the 13 ecosystem services that were analysed.</p>
<p>In order to select the top 50&#x0025; of ecosystem service provision areas, ecosystem service hotspots were defined for each of the 13 ecosystem services based on grid cells that contain ecosystem service values greater than the median value. Statistically, under certain conditions of contamination (frequency of outliers in a sample) the median has often been proposed as an estimator for the mean (Dixon <xref ref-type="bibr" rid="CIT0008">1953</xref>) and when a distribution is skewed, the median can be used as a measure of location to reduce the importance attached to outliers (Press <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0036">1992</xref>). In this study, the median was used in order to account for the outliers present in the range of ecosystem service values, as the use of the mean (that would usually be used to identify the central value) would have resulted in the exclusion of large areas providing good levels of ecosystem services. For example, the median value for carbon storage was 17, and for sediment retention to dams 1.8 (<xref ref-type="table" rid="T0002">Table 2</xref>). Note that not all areas within the municipal area contribute to ecosystem service provision. For example, only 8&#x0025; of the total area provides some level of sediment retention for dams.</p>
<table-wrap id="T0002">
<label>TABLE 2</label>
<caption><p>Ecosystem service range, hotspots and medians, proportional overlaps and ownership distribution.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left" rowspan="2">Ecosystem services</th>
<th valign="top" align="center" colspan="2">ES range and hotspots<hr/></th>
<th valign="top" align="center" rowspan="2">Median values (on a scale from 0 to 100)</th>
<th valign="top" align="center" colspan="5">&#x0025; Hotspots in CBA<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref>, conservation areas and D&#x2019;MOSS<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref><hr/></th>
<th valign="top" align="center" colspan="6">&#x0025; Hotspot ownership distribution<hr/></th>
</tr>
<tr>
<th valign="top" align="center">Range area (ha) (&#x0025; of EM<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref>)</th>
<th valign="top" align="center">Hotspot (ha) (&#x0025; of EM)</th>
<th valign="top" align="center">&#x0025; HS<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref> in terrestrial CBA<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref></th>
<th valign="top" align="center">&#x0025; HS in estuary CBA</th>
<th valign="top" align="center">&#x0025; HS in freshwater CBA</th>
<th valign="top" align="center">&#x0025; HS in conservation areas</th>
<th valign="top" align="center">&#x0025; HS in D&#x2019;MOSS<xref ref-type="table-fn" rid="TFN0001">&#x002A;</xref></th>
<th valign="top" align="center">&#x0025; EM</th>
<th valign="top" align="center">&#x0025; State</th>
<th valign="top" align="center">&#x0025; Parastatal</th>
<th valign="top" align="center">&#x0025; ITB</th>
<th valign="top" align="center">&#x0025; Private</th>
<th valign="top" align="center">&#x0025; Unkown / no data</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Carbon storage</td>
<td align="center">158 006 (69)</td>
<td align="center">80 691 (35)</td>
<td align="center">17.5</td>
<td align="center">41.5</td>
<td align="center">1.61</td>
<td align="center">6.12</td>
<td align="center">7.01</td>
<td align="center">76.03</td>
<td align="center">8.21</td>
<td align="center">3.97</td>
<td align="center">2.96</td>
<td align="center">41.00</td>
<td align="center">27.10</td>
<td align="center">17.49</td>
</tr>
<tr>
<td align="left">Water yield to dams</td>
<td align="center">71 135 (31)</td>
<td align="center">33 392 (15)</td>
<td align="center">74</td>
<td align="center">6.94</td>
<td align="center">0.00</td>
<td align="center">1.29</td>
<td align="center">0.70</td>
<td align="center">10.55</td>
<td align="center">0.13</td>
<td align="center">2.33</td>
<td align="center">2.02</td>
<td align="center">64.20</td>
<td align="center">19.12</td>
<td align="center">13.71</td>
</tr>
<tr>
<td align="left">Flood attenuation &#x2013; population</td>
<td align="center">5202 (2)</td>
<td align="center">2609 (1)</td>
<td align="center">2.4</td>
<td align="center">47.47</td>
<td align="center">0.00</td>
<td align="center">4.34</td>
<td align="center">5.04</td>
<td align="center">68.91</td>
<td align="center">6.12</td>
<td align="center">6.29</td>
<td align="center">0.23</td>
<td align="center">48.93</td>
<td align="center">24.18</td>
<td align="center">14.30</td>
</tr>
<tr>
<td align="left">Flood attenuation &#x2013; public infrastructure</td>
<td align="center">6839 (3)</td>
<td align="center">3845 (2)</td>
<td align="center">2.2</td>
<td align="center">49.05</td>
<td align="center">0.02</td>
<td align="center">3.48</td>
<td align="center">5.54</td>
<td align="center">75.33</td>
<td align="center">0.00</td>
<td align="center">6.92</td>
<td align="center">0.11</td>
<td align="center">54.76</td>
<td align="center">24.98</td>
<td align="center">13.27</td>
</tr>
<tr>
<td align="left">Flood attenuation &#x2013; private infrastructure</td>
<td align="center">8730 (4)</td>
<td align="center">4366 (2)</td>
<td align="center">2.7</td>
<td align="center">50.37</td>
<td align="center">0.02</td>
<td align="center">3.43</td>
<td align="center">7.87</td>
<td align="center">76.58</td>
<td align="center">8.76</td>
<td align="center">3.65</td>
<td align="center">0.24</td>
<td align="center">44.87</td>
<td align="center">26.00</td>
<td align="center">16.54</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; dams</td>
<td align="center">19 007 (8)</td>
<td align="center">10 550 (5)</td>
<td align="center">1.8</td>
<td align="center">28.41</td>
<td align="center">0.00</td>
<td align="center">2.96</td>
<td align="center">3.21</td>
<td align="center">54.72</td>
<td align="center">1.47</td>
<td align="center">2.37</td>
<td align="center">2.79</td>
<td align="center">62.18</td>
<td align="center">25.25</td>
<td align="center">6.62</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; sewer pipes</td>
<td align="center">7953 (3)</td>
<td align="center">3978 (2)</td>
<td align="center">4.9</td>
<td align="center">32.71</td>
<td align="center">0.93</td>
<td align="center">3.70</td>
<td align="center">9.11</td>
<td align="center">49.35</td>
<td align="center">16.36</td>
<td align="center">4.50</td>
<td align="center">1.35</td>
<td align="center">15.94</td>
<td align="center">36.53</td>
<td align="center">25.65</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; storm drains</td>
<td align="center">6057 (3)</td>
<td align="center">3182 (1)</td>
<td align="center">4.9</td>
<td align="center">33.61</td>
<td align="center">0.76</td>
<td align="center">2.87</td>
<td align="center">9.09</td>
<td align="center">50.30</td>
<td align="center">14.53</td>
<td align="center">2.85</td>
<td align="center">2.23</td>
<td align="center">22.42</td>
<td align="center">36.38</td>
<td align="center">22.15</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; harbour</td>
<td align="center">3539 (2)</td>
<td align="center">1954 (1)</td>
<td align="center">3.3</td>
<td align="center">39.16</td>
<td align="center">0.00</td>
<td align="center">2.28</td>
<td align="center">14.53</td>
<td align="center">54.00</td>
<td align="center">16.13</td>
<td align="center">6.32</td>
<td align="center">2.09</td>
<td align="center">0.04</td>
<td align="center">46.88</td>
<td align="center">29.06</td>
</tr>
<tr>
<td align="left">Nitrogen retention &#x2013; dams</td>
<td align="center">714 (0.3)</td>
<td align="center">410 (0.2)</td>
<td align="center">1.4</td>
<td align="center">12.15</td>
<td align="center">0.00</td>
<td align="center">6.08</td>
<td align="center">0.74</td>
<td align="center">38.67</td>
<td align="center">2.52</td>
<td align="center">1.26</td>
<td align="center">0.48</td>
<td align="center">85.77</td>
<td align="center">6.67</td>
<td align="center">3.42</td>
</tr>
<tr>
<td align="left">Nitrogen retention &#x2013; estuaries</td>
<td align="center">330.01 (0.2)</td>
<td align="center">172 (0.1)</td>
<td align="center">1.8</td>
<td align="center">14.91</td>
<td align="center">0.00</td>
<td align="center">9.21</td>
<td align="center">0.88</td>
<td align="center">35.96</td>
<td align="center">3.00</td>
<td align="center">3.00</td>
<td align="center">0.57</td>
<td align="center">73.82</td>
<td align="center">14.16</td>
<td align="center">5.58</td>
</tr>
<tr>
<td align="left">Phosphorus retention &#x2013; dams</td>
<td align="center">188 (0.1)</td>
<td align="center">115 (0.1)</td>
<td align="center">1.4</td>
<td align="center">16.45</td>
<td align="center">0.00</td>
<td align="center">2.63</td>
<td align="center">0.00</td>
<td align="center">47.37</td>
<td align="center">3.21</td>
<td align="center">0.00</td>
<td align="center">0.00</td>
<td align="center">71.79</td>
<td align="center">21.15</td>
<td align="center">3.85</td>
</tr>
<tr>
<td align="left">Phosphorus retention &#x2013; estuaries</td>
<td align="center">255 (0.1)</td>
<td align="center">137 (0.1)</td>
<td align="center">1.8</td>
<td align="center">19.78</td>
<td align="center">1.10</td>
<td align="center">3.30</td>
<td align="center">2.20</td>
<td align="center">26.92</td>
<td align="center">10.58</td>
<td align="center">6.35</td>
<td align="center">4.20</td>
<td align="center">21.16</td>
<td align="center">35.45</td>
<td align="center">23.28</td>
</tr>
<tr>
<td align="left"><bold>Average</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>-</bold></td>
<td align="center"><bold>30.19&#x0025;</bold></td>
<td align="center"><bold>0.34&#x0025;</bold></td>
<td align="center"><bold>3.98&#x0025;</bold></td>
<td align="center"><bold>5.07&#x0025;</bold></td>
<td align="center"><bold>51.13&#x0025;</bold></td>
<td align="center"><bold>7.17</bold></td>
<td align="center"><bold>3.82</bold></td>
<td align="center"><bold>1.81</bold></td>
<td align="center"><bold>43.85</bold></td>
<td align="center"><bold>26.83</bold></td>
<td align="center"><bold>16.52</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0001"><label>&#x002A;</label><p>EM, eThekwini Municipality; &#x002A;HS, hotspots; &#x002A;CBA, critical biodiversity areas; &#x002A;D&#x2019;MOSS, Durban Metropolitan Open Space System.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Albeit many of the grid cells selected as hotspots for individual ecosystem services do not score highly on a scale of 0&#x2013;100, it is important to note that these areas have been mapped in a fragmented urban environment that has been subjected to high levels of transformation and habitat loss. In this case, replication of representative samples of communities, or key ecosystem service areas, within an open space system are important as these areas could be lost as a result of natural catastrophes or political pressure for alternative land uses (Roberts <xref ref-type="bibr" rid="CIT0038">1994</xref>).</p>
</sec>
<sec id="s20012">
<title>Spatial congruence assessment</title>
<p>This study used methods commonly used to assess spatial congruence, namely spatial overlap and correlations (Chan <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0002">2006</xref>; Egoh <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0010">2009</xref>; Orme <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0033">2005</xref>; Prendergast <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0035">1993</xref>; van Jaarsveld <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0052">1998</xref>). For example, Turner <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0050">2007</xref>) overlaid biodiversity conservation priorities with global terrestrial ecosystem services to identify the spatial correspondence (or lack thereof) between them. Similarly, Chan <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0002">2006</xref>) evaluated the spatial correspondence of biodiversity and ecosystem services using service correlation and overlap tests. Both correlation and overlap analyses were considered necessary, as the correlation analyses between ecosystem services do not completely provide the extent to which conservation activities for selected services would align (Chan <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0002">2006</xref>). More specifically, if ecosystem services and biodiversity areas overlap in terms of their geographic locations, they may not necessarily be correlated, in which case, an increase in (or high) biodiversity importance would not necessarily be accompanied by an increase in (or high) ecosystem service value. Similar to Chan <italic>et al</italic>. (<xref ref-type="bibr" rid="CIT0002">2006</xref>), this study used both overlap and correlation analyses.</p>
</sec>
<sec id="s20013">
<title>Overlay analyses</title>
<p>Percentage overlaps were identified by overlaying each ecosystem service hotspot with (1) the remaining ecosystem service hotspots; (2) critical biodiversity areas; (3) conservation areas; (4) D&#x2019;MOSS; and (5) categories of ownership, using ArcGIS 10.1 tools, namely Raster Calculator and Sample.</p>
<p>Overlay analysis of all ecosystem service hotspots was also used to identify ecosystem service ranges and hotspot richness. The latter is measured by the number of ecosystem services for which one grid cell is considered to be a hotspot. The ecosystem service ranges in this study comprise the complete spatial extent of ecosystem services as originally mapped by Glenday (<xref ref-type="bibr" rid="CIT0018">2012</xref>). For this analysis, the binary grids of each ecosystem service were overlaid to identify those grid cells that contain a combination of ecosystems services.</p>
</sec>
<sec id="s20014">
<title>Correlations</title>
<p>The relationships between the 13 mapped ecosystem service hotspots, and ecosystem service hotspots and terrestrial critical biodiversity areas were identified using two tools within the ArcGIS 10.1 toolbox, namely Spearman correlations (Band Collection Statistics) and Sample. Positive correlations indicate that the variables assessed increase or decrease in parallel, whilst negative correlations indicate that whilst one variable increases, the other decreases.</p>
</sec>
</sec>
<sec id="s0015">
<title>Results</title>
<sec id="s20016">
<title>Ecosystem service range and hotspots</title>
<p>The ecosystem service hotspots identified constitute the top 50&#x0025; of ecosystem service provisioning areas (<xref ref-type="fig" rid="F0001">Figure 1</xref>). The combined ecosystem service hotspots (hotspot richness) cover approximately 46&#x0025; of the entire municipal area (<xref ref-type="fig" rid="F0002">Figure 2</xref>), whilst the range of ecosystem services (ecosystem service range richness) covers approximately 74&#x0025; of the municipal area (<xref ref-type="fig" rid="F0003">Figure 3</xref>).</p>
<fig id="F0001">
<label>FIGURE 1</label>
<caption><p>Ecosystem service hotspots in eThekwini Municipality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ABC-46-2118-g001.tif"/>
</fig>
<fig id="F0002">
<label>FIGURE 2</label>
<caption><p>Ecosystem service hotspot richness in eThekwini Municipality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ABC-46-2118-g002.tif"/>
</fig>
<fig id="F0003">
<label>FIGURE 3</label>
<caption><p>Ecosystem service range richness in eThekwini Municipality.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ABC-46-2118-g003.tif"/>
</fig>
<p>In terms of area distribution, the EMA contributes substantially to three key services, namely carbon storage, water yield (supply) to dams and sediment retention for dams, whilst the remaining ecosystem service ranges and hotspots occupy far smaller areas (<xref ref-type="table" rid="T0002">Table 2</xref>).</p>
<p>With respect to hotspot richness (<xref ref-type="fig" rid="F0002">Figure 2</xref>), as calculated per grid cell, the majority of the municipal area is important for only one of the 13 services assessed. In addition, few grid cells contain combinations of services, resulting in limited overlapping of ecosystem service provisioning. For example, less than 2&#x0025; (5100 ha) of the municipal area supplies a combination of three or more of the 13 service hotspots and approximately 550 ha supplies a combination of five service hotspots (<xref ref-type="fig" rid="F0002">Figure 2</xref>). However, the level of overlap may have been different if additional ecosystem services were included in the assessment.</p>
</sec>
</sec>
<sec id="s0017">
<title>Spatial overlaps between ecosystem services hotspots, critical biodiversity areas, conservation areas and D&#x2019;MOSS</title>
<p>On average, 30.2&#x0025; of ecosystem service hotspots are located within terrestrial critical biodiversity areas, 51.1&#x0025; within D&#x2019;MOSS, with nominal overlaps of 0.3&#x0025;, 3.9&#x0025; and 5.1&#x0025; within estuaries and freshwater critical biodiversity areas and conservation areas, respectively (<xref ref-type="table" rid="T0002">Table 2</xref>). All ecosystem services except phosphorus retention for dams were found to overlap with conservation areas.</p>
<p>Terrestrial critical biodiversity areas contain significant proportions of carbon storage (41.5&#x0025;), all three flood attenuation services (47.5&#x0025;&#x2013;50.4&#x0025;) and sediment retention service hotspots (28.4&#x0025;&#x2013;39.2&#x0025;) (<xref ref-type="table" rid="T0002">Table 2</xref>). Terrestrial critical biodiversity areas showed minor overlaps with nitrogen and phosphorus retention services (12.1&#x0025;&#x2013;19.8&#x0025;), with the smallest overlap being with the water yield service hotspots (7&#x0025;).</p>
<p>Despite that all ecosystem services except phosphorus retention for dams were found to overlap to some extent with conservation areas, given the limited areas of overlap, most ecosystem service hotspots are unprotected (<xref ref-type="table" rid="T0002">Table 2</xref>). The small percentage overlap between 1&#x0025; and 14&#x0025; of hotspots with conservation areas highlights that substantial proportions of ecosystem services lie outside these areas, leaving them vulnerable to human impact and degradation.</p>
<p>All categories of ecosystem service hotspots were represented within D&#x2019;MOSS, of which carbon storage (76&#x0025;) and all flood attenuation hotspots (68&#x0025;&#x2013;77&#x0025;) have the highest representation. About half of all three sediment retention ecosystem service hotspots were contained within D&#x2019;MOSS (49&#x0025;&#x2013;55&#x0025;), whilst water yield service was identified to have the smallest overlap with D&#x2019;MOSS (11&#x0025;).</p>
<p>With respect to the proportions of critical biodiversity and conservation areas found in ecosystem service hotspots, on average, ecosystem service hotspot areas in this study contained small percentages of critical biodiversity areas, with 8.8&#x0025; of terrestrial critical biodiversity areas, 4.5&#x0025; of estuary critical biodiversity areas and 6.5&#x0025; of freshwater critical biodiversity areas (<xref ref-type="table" rid="T0003">Table 3</xref>).</p>
<table-wrap id="T0003">
<label>TABLE 3</label>
<caption><p>Proportional overlap of critical biodiversity areas and conservation areas within hotspots.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Ecosystem services</th>
<th valign="top" align="center">&#x0025; Terrestrial CBA<xref ref-type="table-fn" rid="TFN0002">&#x002A;</xref> in HS<xref ref-type="table-fn" rid="TFN0002">&#x002A;</xref></th>
<th valign="top" align="center">&#x0025; Estuary CBA in HS</th>
<th valign="top" align="center">&#x0025; Freshwater CBA in HS</th>
<th valign="top" align="center">&#x0025; Conservation areas in HS</th>
<th valign="top" align="center">&#x0025; D&#x2019;MOSS<xref ref-type="table-fn" rid="TFN0002">&#x002A;</xref> in HS</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Carbon storage</td>
<td align="center">80.39</td>
<td align="center">55.28</td>
<td align="center">64.59</td>
<td align="center">84.71</td>
<td align="center">82.93</td>
</tr>
<tr>
<td align="left">Water yield to dams</td>
<td align="center">5.57</td>
<td align="center">0.00</td>
<td align="center">5.64</td>
<td align="center">3.50</td>
<td align="center">4.76</td>
</tr>
<tr>
<td align="left">Flood attenuation &#x2013; population</td>
<td align="center">2.98</td>
<td align="center">0.00</td>
<td align="center">1.48</td>
<td align="center">1.97</td>
<td align="center">2.43</td>
</tr>
<tr>
<td align="left">Flood attenuation &#x2013; public infrastructure</td>
<td align="center">4.53</td>
<td align="center">0.08</td>
<td align="center">1.75</td>
<td align="center">3.19</td>
<td align="center">3.91</td>
</tr>
<tr>
<td align="left">Flood attenuation &#x2013; private infrastructure</td>
<td align="center">5.28</td>
<td align="center">0.03</td>
<td align="center">1.95</td>
<td align="center">5.15</td>
<td align="center">4.52</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; dams</td>
<td align="center">7.20</td>
<td align="center">0.00</td>
<td align="center">4.09</td>
<td align="center">5.07</td>
<td align="center">7.80</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; sewer pipes</td>
<td align="center">3.13</td>
<td align="center">1.57</td>
<td align="center">1.92</td>
<td align="center">5.43</td>
<td align="center">2.65</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; storm drains</td>
<td align="center">2.57</td>
<td align="center">1.03</td>
<td align="center">1.19</td>
<td align="center">4.33</td>
<td align="center">2.16</td>
</tr>
<tr>
<td align="left">Sediment retention &#x2013; harbour</td>
<td align="center">1.84</td>
<td align="center">0</td>
<td align="center">0.58</td>
<td align="center">4.25</td>
<td align="center">1.43</td>
</tr>
<tr>
<td align="left">Nitrogen retention &#x2013; dams</td>
<td align="center">0.12</td>
<td align="center">0</td>
<td align="center">0.33</td>
<td align="center">0.05</td>
<td align="center">0.21</td>
</tr>
<tr>
<td align="left">Nitrogen retention &#x2013; estuaries</td>
<td align="center">0.06</td>
<td align="center">0</td>
<td align="center">0.21</td>
<td align="center">0.02</td>
<td align="center">0.08</td>
</tr>
<tr>
<td align="left">Phosphorus retention &#x2013; dams</td>
<td align="center">0.05</td>
<td align="center">0</td>
<td align="center">0.04</td>
<td align="center">0.00</td>
<td align="center">0.07</td>
</tr>
<tr>
<td align="left">Phosphorus retention &#x2013; estuaries</td>
<td align="center">0.07</td>
<td align="center">0.06</td>
<td align="center">0.06</td>
<td align="center">0.05</td>
<td align="center">0.05</td>
</tr>
<tr>
<td align="left"><bold>Average</bold></td>
<td align="center"><bold>8.75</bold></td>
<td align="center"><bold>4.47</bold></td>
<td align="center"><bold>6.45</bold></td>
<td align="center"><bold>9.05</bold></td>
<td align="center"><bold>8.69</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0002"><label>&#x002A;</label><p>, HS, hotspots; &#x002A;, CBA, critical biodiversity areas; &#x002A;, D&#x2019;MOSS, Durban Metropolitan Open Space System.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>Most ecosystem service hotspots were unprotected (<xref ref-type="table" rid="T0002">Table 2</xref>). Generally, conservation areas performed poorly with regards to the ecosystem services included in this study, with small percentages of conservation areas being contained within hotspots, except for carbon storage (80&#x0025; of conservation areas overlap with carbon storage hotspot) (<xref ref-type="table" rid="T0003">Table 3</xref>).</p>
</sec>
<sec id="s0018">
<title>Correlations between ecosystem services ranges and hotspots</title>
<p>Ecosystem services are not necessarily correlated with each other. For ecosystem service ranges, out of 78 possible combinations, only five showed a moderate correlation (between 0.2 and 0.5) and four showed a strong correlation (&#x003E; 0.5) (<xref ref-type="table" rid="T000A2">Table 2-A1</xref>). The three flood attenuation services, i.e. for public infrastructure, private property and population protection, all had strong positive correlations with each other, with the highest correlations between services in this group. A strong positive correlation was also found between sediment retention services important to prevent clogging of storm drains and sedimentation to sewer pipes. Moderate correlations were found between carbon storage and water yield to dams. Water yield to dams also showed a moderate correlation with the sediment retention service to dams. Similarly, nitrogen retention service relative to dams also showed moderate positive correlations with phosphorus retention to dams and nitrogen retention to estuaries.</p>
<p>Correlations between ecosystem service hotspots were lower than those between ecosystem services ranges. Out of 78 possible combinations, only two combinations were moderately correlated (between 0.2 and 0.5) and three had strong correlations (&#x003E; 0.5). Similar to the ranges, the sediment retention service hotspots showed moderate to strong correlations with each other (<xref ref-type="table" rid="T000A3">Table 3-A1</xref>). Nitrogen retention to dams also showed a moderate correlation with nitrogen retention to estuaries. This highlights that a combination of different areas are required to maintain the whole suite of ecosystem services.</p>
</sec>
<sec id="s0019">
<title>Correlations between ecosystem service hotspots and critical biodiversity and conservation areas</title>
<p>The study identified positive correlations between the majority of the ecosystem services assessed and terrestrial critical biodiversity areas. Water yield to dams had the highest correlation with terrestrial critical biodiversity areas, followed by carbon storage and flood attenuation relevant to public infrastructure (<xref ref-type="table" rid="T000A4">Table 4-A1</xref>). Whilst overlap analyses indicated that terrestrial critical biodiversity areas generally contribute significantly to all ecosystem service hotspots, correlation analysis on average indicated weak correlations with all services, with weak negative correlations with sediment and phosphorus retention to dams (<xref ref-type="table" rid="T000A4">Table 4-A1</xref>). Whilst positive correlations generally imply that ecosystem service values increase with biodiversity values, given the weakness of the correlations, certain areas with high ecosystem service values, for the services assessed in this study, may not necessarily also have high biodiversity values and vice versa.</p>
<p>Whilst the percentage overlap of certain ecosystem service hotspots with critical biodiversity areas and conservation areas may seem negligible, when translated into area, large pieces of land significant for both critical biodiversity and ecosystem service hotspots are available for selection to be managed to satisfy the conservation objectives of both. For example, the lowest percentage overlap of a hotspot with terrestrial critical biodiversity areas was water yield service at 6&#x0025;, amounting to approximately 7000 ha with high ecosystem service and biodiversity values.</p>
</sec>
<sec id="s0020">
<title>Ecosystem service hotspots ownership</title>
<p>On average, the majority of the ecosystem service hotspot areas either fall within the ITB land (44&#x0025;) or on privately owned land (27&#x0025;). This is followed by eThekwini Municipality administered land (7&#x0025;) and state land (4&#x0025;), with parastatal ownership constituting only 2&#x0025; (<xref ref-type="table" rid="T0002">Table 2</xref>, <xref ref-type="fig" rid="F0004">Figure 4</xref>, <xref ref-type="table" rid="T000A5">Table 5-A1</xref>). No ownership data were available for the remaining 17&#x0025; of ecosystem service hotspot areas.</p>
<fig id="F0004">
<label>FIGURE 4</label>
<caption><p>Distribution of ecosystem services hotspots (expressed in ha) according to ownership categories.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ABC-46-2118-g004.tif"/>
</fig>
<p>Significant proportions of nine ecosystem services hotspots occurred within ITB areas (between 41&#x0025; and 86&#x0025; of their area, <xref ref-type="table" rid="T0002">Table 2</xref>, <xref ref-type="table" rid="T000A5">Table 5-A1</xref>). Amongst these, nitrogen retention to dams and estuaries (86&#x0025; and 74&#x0025; respectively), phosphorus retention to dams (72&#x0025;) and water yield (64&#x0025;) were significant. Moderate percentages (between 22&#x0025; and 29&#x0025;, <xref ref-type="table" rid="T0002">Table 2</xref>, <xref ref-type="table" rid="T000A5">Table 5-A1</xref>) of four ecosystem service hotspots fall within areas for which ownership information was not available. As an example, <xref ref-type="fig" rid="F0005">Figure 5</xref> shows the ownership distribution for the carbon storage hotspots.</p>
<fig id="F0005">
<label>FIGURE 5</label>
<caption><p>Carbon storage service hotspot ownership map.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ABC-46-2118-g005.tif"/>
</fig>
<p>The balance of the majority of ecosystem services was contained within private ownership (between 21&#x0025; and 47&#x0025;). Ecosystem service hotspots were generally poorly represented within municipal and state ownership categories, except for three sediment retention hotspots (sewer pipe, storm drains and harbour) of which between 15&#x0025; and 16&#x0025; are administered by the municipality.</p>
</sec>
<sec id="s0021">
<title>Discussion</title>
<p>The novel mapping approach used to produce the 13 original ecosystem service layers has certain limitations. For example, InVEST models do not explicitly consider surface-groundwater interactions or impacts of inter and intra annual variability, and some data are not locally calibrated, thereby limiting the exact quantification of services (Glenday <xref ref-type="bibr" rid="CIT0018">2012</xref>). However, the availability of these ecosystem service layers offered a unique opportunity to spatially analyse certain ecosystem services in Durban for the first time. This study is seen as an important step towards identifying potential management synergies between ecosystem services and biodiversity, and identifying strategies towards protecting ecosystem services in an urban context.</p>
<p>There are a number of factors that limit the effective management of ecosystem services in Durban. The vast majority of important ecosystem service areas are located outside of managed conservation areas and within communal lands that are currently under joint ITB and municipal administration (eThekwini Municipality <xref ref-type="bibr" rid="CIT0014">2012b</xref>), facing threats of habitat transformation, invasive alien plant invasions, rapid densification and pollution. Additionally, the generally weak correlations between ecosystem services included in this study and terrestrial critical biodiversity areas indicate that there is limited potential for the selection of areas supplying high levels of both ecosystem services and biodiversity. This finding highlights that more land may be required to conserve and manage both ecosystem services and biodiversity. In an urban context such as Durban, this is at the same time critically important and challenging.</p>
<p>The fact that the study found weak correlations between ecosystem services and that less than 5&#x0025; of the total hotspot provisioning areas supply three or more ecosystem services may indicate that these services require separate considerations in conservation assessments (Egoh <xref ref-type="bibr" rid="CIT0010">2009</xref>) and may also limit the selection of areas that supply multiple services for management. However, this may only be true in light of the ecosystem services assessed in this study. The inclusion of additional ecosystem services, e.g. cultural and recreational services, may provide for greater selection of areas that supply multiple services for management.</p>
<p>For the management of ecosystem services and biodiversity to be successful, a multidisciplinary approach that involves all stakeholders is needed (Cowling <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0005">2008</xref>). Varying ecological and social contexts may require different institutional mechanisms to protect ecosystem services, depending on locally based information. Thus, in the context of Durban, strategies for the protection of hotspots may even differ between the various ownership categories given the differences in their institutional structures. Furthermore, those ecosystem service hotspots for which ownership information was not available would also need to be considered as a lack of ownership information will hinder the formation of management partnerships.</p>
<p>Despite these challenges, there are numerous opportunities to enhance ecosystem service protection and management in the urban context. Where biodiversity priority areas overlap with important ecosystem service provisioning areas, conservation strategies aimed at biodiversity will safeguard ecosystem services (Egoh <xref ref-type="bibr" rid="CIT0010">2009</xref>) and those ecosystem services can be used as additional justification for biodiversity conservation.</p>
<p>Given the limited availability of human and financial resources for conservation and management, the small percentages of areas providing numerous ecosystem service hotspots &#x2013; e.g. approximately 550 ha supplying five service hotspots (<xref ref-type="fig" rid="F0002">Figure 2</xref>) &#x2013; do, however, allow for easy selection of areas where management efforts could yield greater benefits. In addition, overlap analyses of these 550 ha with critical biodiversity areas and D&#x2019;MOSS would allow for the further refinement of areas to be prioritised for management where greater returns on management investments could be achieved.</p>
<p>Based on the findings that about a third of ecosystem services provisioning areas overlap with terrestrial critical biodiversity areas in Durban, there are numerous opportunities for the co-management of these areas. This is in line with the findings of a number of studies that indicated a direct relationship between ecosystem services and biodiversity (Chan <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0002">2006</xref>; Egoh <xref ref-type="bibr" rid="CIT0010">2009</xref>; Singh <xref ref-type="bibr" rid="CIT0041">2002</xref>; Turner <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0050">2007</xref>). However, based on the findings of this study that shows that ecosystem services can exist even in areas with low biodiversity and that ecosystem services cannot be fully accommodated in existing conservation areas and critical biodiversity areas, this justification cannot be used in all cases.</p>
<p>These findings highlight the need for an independent conservation strategy for ecosystem services in Durban which is complementary to biodiversity conservation. This strategy could include measures to ensure that ecosystem services are given consideration either through protected area expansion, in assessing development applications, through appropriate zoning, acquisition by management authorities and by implementing stewardship programmes in communally or privately owned areas. For co-management of ecosystem services and biodiversity, a prioritisation process may be required depending on the aim of management, to either select areas with high ecosystem service values and some biodiversity values, or high biodiversity values with some ecosystem service values. In addition, to safeguard ecosystem service hotspots lying outside of conservation areas and existing DMOSS, an ecosystem service management and protection strategy should, at least, also include the prioritisation of the 550 ha that have a hotspot richness of five or more and also consider the threats services face, as is the case for biodiversity where critically endangered features are given priority (Balvanera <italic>et al</italic>. 2001; Sisk <italic>et al</italic>. <xref ref-type="bibr" rid="CIT0042">1994</xref>).</p>
</sec>
<sec id="s0022">
<title>Conclusion</title>
<p>The study identified win-win opportunities to co-manage ecosystem service hotspots and critical biodiversity and conservation areas and opportunities to manage areas supplying numerous ecosystem services. However, whilst these areas allow for easy prioritisation for greater returns on investment, the challenge lies in managing and protecting the large proportion of critical ecosystem service provisioning areas that are vulnerable to transformation outside of these managed areas. This raises the importance of establishing a link between planning and action that would incorporate priority ecosystem service areas within the municipal decision-making framework. This includes the identification of an ecosystem service management and protection strategy that facilitates the selection of ecosystem service priority areas for management and as locations for engagement with communal and private landowners through biodiversity stewardship; using ecosystem service hotspots as triggers for development assessment and approval processes; and the co-management of areas supplying both critical biodiversity and ecosystem services.</p>
</sec>
</body>
<back>
<ack>
<title>Acknowledgements</title>
<p>We thank the eThekwini Municipality Environmental Planning and Climate Protection Department for their support and for providing the foundational data for this research. This study was supported by eThekwini Municipality through the Durban Research Action Partnership: KwaZulu-Natal Sandstone Sourveld Programme. The South African Research Chairs Initiative of the Department of Science and Technology and the National Research Foundation of South Africa (grant no 84157) financially supported the research.</p>
<sec id="s20023">
<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="s20024">
<title>Authors&#x2019; contributions</title>
<p>The lead author, R.D., conceptualised the study, performed all analyses and led the writing of the manuscript. All other authors contributed to the writing and commented on several drafts.</p>
</sec>
</ack>
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</ref-list>
<app-group>
<app id="app001">
<title>Appendix 1</title>
<sec id="s0025">
<title>SUPPORTING MATERIAL</title>
<table-wrap id="T000A1">
<label>TABLE 1-A1</label>
<caption><p>Categories of conservation areas in the eThekwini Municipal area.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Conservation Area Type</th>
<th valign="top" align="left">Ownership</th>
<th valign="top" align="center">Number</th>
<th valign="top" align="center">Total Area (ha)</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Proclaimed Nature Reserve<xref ref-type="table-fn" rid="TFN0003">&#x2020;</xref></td>
<td align="left">Ezemvelo KZN Wildlife (6) and eThekwini Municipality (1)</td>
<td align="center">7</td>
<td align="center">1131</td>
</tr>
<tr>
<td align="left">Municipal Nature Reserve</td>
<td align="left">eThekwini Municipality</td>
<td align="center">28</td>
<td align="center">1950</td>
</tr>
<tr>
<td align="left">Other State Nature Reserve</td>
<td align="left">State</td>
<td align="center">4</td>
<td align="center">2181</td>
</tr>
<tr>
<td align="left">Private Nature Reserve</td>
<td align="left">Private</td>
<td align="center">8</td>
<td align="center">304</td>
</tr>
<tr>
<td align="left">Special Rating Area<xref ref-type="table-fn" rid="TFN0004">&#x2021;</xref></td>
<td align="left">Private and eThekwini Municipality</td>
<td align="center">1</td>
<td align="center">323</td>
</tr>
<tr>
<td align="left">Non-User Conservation Servitude</td>
<td align="left">Private</td>
<td align="center">544</td>
<td align="center">1007</td>
</tr>
<tr>
<td align="left">Acquired sites<hr/></td>
<td align="left">eThekwini Municipality<hr/></td>
<td align="center">58<hr/></td>
<td align="center">198<hr/></td>
</tr>
<tr>
<td align="left"><bold>Total</bold></td>
<td align="center"></td>
<td align="center"></td>
<td align="center"><bold>7094</bold></td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn><p><italic>Source:</italic> Adapted from eThekwini Municipality, <xref ref-type="bibr" rid="CIT0014">2012b</xref></p></fn>
<fn id="TFN0003"><label>&#x2020;</label><p>Nature Reserve proclaimed in terms of the National Environmental Management: <italic>Protected Areas Act</italic> (Act 57 of 2003).</p></fn>
<fn id="TFN0004"><label>&#x2021;</label><p>Contract between private landowners and the eThekwini Municipality to provide additional services (in this case, conservation services) provided for in the <italic>Municipal Property Rates Act</italic> (Act 6 of 2004).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T000A2">
<label>TABLE 2-A1</label>
<caption><p>Spearman Correlations between ecosystem service ranges.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Carbon</th>
<th valign="top" align="center">Water yield (dams)</th>
<th valign="top" align="center">Flood attenuation population</th>
<th valign="top" align="center">Flood attenuation public infrastructure</th>
<th valign="top" align="center">Flood attenuation private infrastructure</th>
<th valign="top" align="center">Sediment retention - dams</th>
<th valign="top" align="center">Sediment retention - sewer pipes</th>
<th valign="top" align="center">Sediment retention - storm drains</th>
<th valign="top" align="center">Sediment retention - harbour</th>
<th valign="top" align="center">Nitrogen retention - dams</th>
<th valign="top" align="center">Nitrogen retention - estuaries</th>
<th valign="top" align="center">Phosphorus retention - dams</th>
<th valign="top" align="center">Phosphorus retention - estuaries</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Carbon</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Water yield (dams)</td>
<td align="center">0.1722</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Flood attenuation Pop</td>
<td align="center">0.0934</td>
<td align="center">&#x2212;0.0516</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Flood attenuation public infrastructure</td>
<td align="center">0.1236</td>
<td align="center">&#x2212;0.0203</td>
<td align="center">0.7823<xref ref-type="table-fn" rid="TFN0005">&#x2020;</xref></td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Flood attenuation private infrastructure</td>
<td align="center">0.1314</td>
<td align="center">&#x2212;0.0384</td>
<td align="center">0.6306<xref ref-type="table-fn" rid="TFN0005">&#x2020;</xref></td>
<td align="center">0.7358<xref ref-type="table-fn" rid="TFN0005">&#x2020;</xref></td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - dams</td>
<td align="center">0.1148</td>
<td align="center">0.2489<xref ref-type="table-fn" rid="TFN0006">&#x2021;</xref></td>
<td align="center">&#x2212;0.0053</td>
<td align="center">0.0880</td>
<td align="center">0.0553</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - sewer pipes</td>
<td align="center">0.0568</td>
<td align="center">&#x2212;0.0605</td>
<td align="center">0.0872</td>
<td align="center">0.0809</td>
<td align="center">0.1334</td>
<td align="center">&#x2212;0.0112</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - storm drains</td>
<td align="center">0.0414</td>
<td align="center">&#x2212;0.0339</td>
<td align="center">0.0510</td>
<td align="center">0.0615</td>
<td align="center">0.1409</td>
<td align="center">&#x2212;0.0010</td>
<td align="center">0.5784<xref ref-type="table-fn" rid="TFN0005">&#x2020;</xref></td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - harbour</td>
<td align="center">0.0406</td>
<td align="center">&#x2212;0.0504</td>
<td align="center">0.0328</td>
<td align="center">0.0234</td>
<td align="center">0.2065<xref ref-type="table-fn" rid="TFN0006">&#x2021;</xref></td>
<td align="center">&#x2212;0.0128</td>
<td align="center">0.0918</td>
<td align="center">0.1227</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Nitrogen retention - dams</td>
<td align="center">0.0106</td>
<td align="center">0.0312</td>
<td align="center">0.0001</td>
<td align="center">0.0162</td>
<td align="center">0.0106</td>
<td align="center">0.0277</td>
<td align="center">&#x2212;0.0020</td>
<td align="center">&#x2212;0.0012</td>
<td align="center">&#x2212;0.0015</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Nitrogen retention - estuaries</td>
<td align="center">0.0052</td>
<td align="center">&#x2212;0.0006</td>
<td align="center">0.0151</td>
<td align="center">0.0404</td>
<td align="center">0.0276</td>
<td align="center">0.0048</td>
<td align="center">0.0010</td>
<td align="center">0.0001</td>
<td align="center">&#x2212;0.0012</td>
<td align="center">0.3281<xref ref-type="table-fn" rid="TFN0006">&#x2021;</xref></td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Phosphorus retention - dams</td>
<td align="center">0.0078</td>
<td align="center">0.0188</td>
<td align="center">0.0005</td>
<td align="center">0.0155</td>
<td align="center">0.0104</td>
<td align="center">0.0305</td>
<td align="center">&#x2212;0.0012</td>
<td align="center">&#x2212;0.0010</td>
<td align="center">&#x2212;0.0009</td>
<td align="center">0.2104<xref ref-type="table-fn" rid="TFN0006">&#x2021;</xref></td>
<td align="center">0.0815</td>
<td align="center">1.0000</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Phosphorus retention - estuaries</td>
<td align="center">&#x2212;0.0054</td>
<td align="center">&#x2212;0.0069</td>
<td align="center">&#x2212;0.0006</td>
<td align="center">0.0017</td>
<td align="center">0.0014</td>
<td align="center">&#x2212;0.0011</td>
<td align="center">0.0006</td>
<td align="center">0.0010</td>
<td align="center">&#x2212;0.0004</td>
<td align="center">0.0000</td>
<td align="center">0.0005</td>
<td align="center">0.0008</td>
<td align="center">1.0000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0005"><label>&#x2020;</label><p>Shows strong correlations (&#x003E;0.5);</p></fn>
<fn id="TFN0006"><label>&#x2021;</label><p>shows moderate correlations (between 0.2 and 0.5).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T000A3">
<label>TABLE 3-A1</label>
<caption><p>Correlations between ecosystem service hotspots.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variables</th>
<th valign="top" align="center">Carbon</th>
<th valign="top" align="center">Water yield (dams)</th>
<th valign="top" align="center">Flood attenuation population</th>
<th valign="top" align="center">Flood attenuation public infrastructure</th>
<th valign="top" align="center">Flood attenuation private infrastructure</th>
<th valign="top" align="center">Sediment retention - dams</th>
<th valign="top" align="center">Sediment retention - sewer pipes</th>
<th valign="top" align="center">Sediment retention - storm drains</th>
<th valign="top" align="center">Sediment retention - harbour</th>
<th valign="top" align="center">Nitrogen retention - dams</th>
<th valign="top" align="center">Nitrogen retention - estuaries</th>
<th valign="top" align="center">Phosphorus retention - dams</th>
<th valign="top" align="center">Phosphorus retention - estuaries</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Carbon</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Water yield (dams)</td>
<td align="center">0.0146</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Flood attenuation population</td>
<td align="center">0.0042</td>
<td align="center">0.0024</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Flood attenuation public infrastructure</td>
<td align="center">0.0239</td>
<td align="center">0.0056</td>
<td align="center">0.6128<xref ref-type="table-fn" rid="TFN0007">&#x2020;</xref></td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Flood attenuation private infrastructure</td>
<td align="center">0.0201</td>
<td align="center">0.0059</td>
<td align="center">0.3732<xref ref-type="table-fn" rid="TFN0008">&#x2021;</xref></td>
<td align="center">0.5498<xref ref-type="table-fn" rid="TFN0007">&#x2020;</xref></td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - dams</td>
<td align="center">0.0125</td>
<td align="center">&#x2212;0.0143</td>
<td align="center">&#x2212;0.0024</td>
<td align="center">&#x2212;0.0313</td>
<td align="center">&#x2212;0.0429</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - sewer pipes</td>
<td align="center">0.0151</td>
<td align="center">0.0028</td>
<td align="center">0.0129</td>
<td align="center">0.0259</td>
<td align="center">0.0532</td>
<td align="center">&#x2212;0.0009</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - storm drains</td>
<td align="center">0.0128</td>
<td align="center">0.0018</td>
<td align="center">&#x2212;0.0127</td>
<td align="center">0.0089</td>
<td align="center">0.0878</td>
<td align="center">0.0041</td>
<td align="center">0.5645<xref ref-type="table-fn" rid="TFN0007">&#x2020;</xref></td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Sediment retention - harbour</td>
<td align="center">0.0099</td>
<td align="center">0.0035</td>
<td align="center">&#x2212;0.0130</td>
<td align="center">&#x2212;0.0097</td>
<td align="center">0.1110</td>
<td align="center">0.0000</td>
<td align="center">0.0288</td>
<td align="center">0.0958</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Nitrogen retention - dams</td>
<td align="center">0.0009</td>
<td align="center">0.0104</td>
<td align="center">&#x2212;0.0022</td>
<td align="center">0.0064</td>
<td align="center">0.0038</td>
<td align="center">0.0063</td>
<td align="center">0.0001</td>
<td align="center">0.0003</td>
<td align="center">0.0000</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Nitrogen retention - estuaries</td>
<td align="center">0.0001</td>
<td align="center">0.0043</td>
<td align="center">0.0124</td>
<td align="center">0.0299</td>
<td align="center">0.0210</td>
<td align="center">&#x2212;0.0010</td>
<td align="center">&#x2212;0.0019</td>
<td align="center">&#x2212;0.0012</td>
<td align="center">0.0000</td>
<td align="center">0.1967</td>
<td align="center">1.0000</td>
<td align="center">-</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Phosphorus retention - dams</td>
<td align="center">0.0012</td>
<td align="center">0.0148</td>
<td align="center">0.0008</td>
<td align="center">&#x2212;0.0022</td>
<td align="center">&#x2212;0.0020</td>
<td align="center">0.0207</td>
<td align="center">0.0001</td>
<td align="center">0.0002</td>
<td align="center">0.0000</td>
<td align="center">0.1335</td>
<td align="center">0.0352</td>
<td align="center">1.0000</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Phosphorus retention - estuaries</td>
<td align="center">&#x2212;0.0005</td>
<td align="center">0.0041</td>
<td align="center">0.0004</td>
<td align="center">&#x2212;0.0011</td>
<td align="center">&#x2212;0.0011</td>
<td align="center">&#x2212;0.0002</td>
<td align="center">&#x2212;0.0015</td>
<td align="center">&#x2212;0.0008</td>
<td align="center">0.0010</td>
<td align="center">0.0000</td>
<td align="center">0.0001</td>
<td align="center">0.0013</td>
<td align="center">1.0000</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="TFN0007"><label>&#x2020;</label><p>Shows strong correlations (&#x003E;0.5);</p>
</fn>
<fn id="TFN0008"><label>&#x2021;</label><p>shows moderate correlations (between 0.2 and 0.5).</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="T000A4">
<label>TABLE 4-A1</label>
<caption><p>Spearman Correlations between ecosystem service hotspots and terrestrial critical biodiversity areas.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Ecosystem service</th>
<th valign="top" align="center">Correlation with Terrestrial CBA</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Carbon</td>
<td align="center">0.017</td>
</tr>
<tr>
<td align="left">Water yield</td>
<td align="center">0.029</td>
</tr>
<tr>
<td align="left">Flood attenuation population</td>
<td align="center">0.003</td>
</tr>
<tr>
<td align="left">Flood attenuation public infrastructure</td>
<td align="center">0.013</td>
</tr>
<tr>
<td align="left">Flood attenuation private infrastructure</td>
<td align="center">0.011</td>
</tr>
<tr>
<td align="left">Sediment retention - dams</td>
<td align="center">&#x2212;0.027</td>
</tr>
<tr>
<td align="left">Sediment retention - sewer pipes</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="left">Sediment retention - storm drains</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="left">Sediment retention - harbour</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">Nitrogen retention - dams</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="left">Nitrogen retention - estuaries</td>
<td align="center">0.000</td>
</tr>
<tr>
<td align="left">Phosphorus retention - dams</td>
<td align="center">&#x2212;0.001</td>
</tr>
<tr>
<td align="left">Phosphorus retention - estuaries</td>
<td align="center">0.000</td>
</tr>
</tbody>
</table>
</table-wrap>
<table-wrap id="T000A5">
<label>TABLE 5-A1</label>
<caption><p>Hectares of ecosystem service hotspot per ownership category.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th valign="top" align="left">Variable</th>
<th valign="top" align="center">eThekwini Municipality</th>
<th valign="top" align="center">State</th>
<th valign="top" align="center">Parastatal</th>
<th valign="top" align="center">Ingonyama Trust Board</th>
<th valign="top" align="center">Private</th>
<th valign="top" align="center">No data</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Carbon</td>
<td align="center">6889</td>
<td align="center">3327</td>
<td align="center">1874</td>
<td align="center">34387</td>
<td align="center">22727</td>
<td align="center">14667</td>
</tr>
<tr>
<td align="left">Water yield</td>
<td align="center">16</td>
<td align="center">282</td>
<td align="center">61</td>
<td align="center">7768</td>
<td align="center">2314</td>
<td align="center">1659</td>
</tr>
<tr>
<td align="left">Flood attenuation population</td>
<td align="center">162</td>
<td align="center">167</td>
<td align="center">5</td>
<td align="center">1297</td>
<td align="center">641</td>
<td align="center">379</td>
</tr>
<tr>
<td align="left">Flood attenuation public infrastructure</td>
<td align="center">0</td>
<td align="center">256</td>
<td align="center">3</td>
<td align="center">2026</td>
<td align="center">924</td>
<td align="center">491</td>
</tr>
<tr>
<td align="left">Flood attenuation private infrastructure</td>
<td align="center">397</td>
<td align="center">165</td>
<td align="center">8</td>
<td align="center">2034</td>
<td align="center">1179</td>
<td align="center">750</td>
</tr>
<tr>
<td align="left">Sediment retention - dams</td>
<td align="center">156</td>
<td align="center">253</td>
<td align="center">224</td>
<td align="center">6628</td>
<td align="center">2691</td>
<td align="center">706</td>
</tr>
<tr>
<td align="left">Sediment retention - sewer pipes</td>
<td align="center">703</td>
<td align="center">193</td>
<td align="center">44</td>
<td align="center">685</td>
<td align="center">1570</td>
<td align="center">1103</td>
</tr>
<tr>
<td align="left">Sediment retention - storm drains</td>
<td align="center">489</td>
<td align="center">96</td>
<td align="center">57</td>
<td align="center">755</td>
<td align="center">1226</td>
<td align="center">746</td>
</tr>
<tr>
<td align="left">Sediment retention - harbour</td>
<td align="center">339</td>
<td align="center">133</td>
<td align="center">33</td>
<td align="center">1</td>
<td align="center">985</td>
<td align="center">611</td>
</tr>
<tr>
<td align="left">Nitrogen retention - dams</td>
<td align="center">11</td>
<td align="center">5</td>
<td align="center">2</td>
<td align="center">359</td>
<td align="center">28</td>
<td align="center">14</td>
</tr>
<tr>
<td align="left">Nitrogen retention - estuaries</td>
<td align="center">5</td>
<td align="center">5</td>
<td align="center">1</td>
<td align="center">130</td>
<td align="center">25</td>
<td align="center">10</td>
</tr>
<tr>
<td align="left">Phosphorus retention - dams</td>
<td align="center">4</td>
<td align="center">0</td>
<td align="center">0</td>
<td align="center">85</td>
<td align="center">25</td>
<td align="center">5</td>
</tr>
<tr>
<td align="left">Phosphorus retention - estuaries</td>
<td align="center">15</td>
<td align="center">9</td>
<td align="center">5</td>
<td align="center">30</td>
<td align="center">51</td>
<td align="center">33</td>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F0006">
<label>FIGURE 1-A1</label>
<caption><p>Environmental and ownership data layers used in the analyses.</p></caption>
<graphic xmlns:xlink="http://www.w3.org/1999/xlink" xlink:href="ABC-46-2118-g006.tif"/>
</fig>
</sec>
</app>
</app-group>
<fn-group>
<fn><p><bold>How to cite this article:</bold> Davids, R., Rouget, M., Boon, R. &#x0026; Roberts, D., 2016, &#x2018;Identifying ecosystem service hotspots for environmental management in Durban, South Africa&#x2019;, <italic>Bothalia</italic> 46(2), a2118. <ext-link ext-link-type="uri" xlink:href="http://dx.doi.org/10.4102/abc.v46i2.2118">http://dx.doi.org/10.4102/abc.v46i2.2118</ext-link></p></fn>
<fn id="FN0001"><label>1</label><p>Through the Municipal Property Rates Act 2004, these areas obtain additional services (e.g. invasive alien plant control, fire management and pollution monitoring) for an additional property tax paid by landowners.</p></fn>
</fn-group>
</back>
</article>