Reserve Selection in a Species‐Rich and Fragmented Landscape on the Agulhas Plain, South Africa
Identifieur interne : 000E88 ( Istex/Corpus ); précédent : 000E87; suivant : 000E89Reserve Selection in a Species‐Rich and Fragmented Landscape on the Agulhas Plain, South Africa
Auteurs : A. T. Lombard ; R. M. Cowling ; R. L. Pressey ; P. J. MustartSource :
- Conservation Biology [ 0888-8892 ] ; 1997-10-16.
Abstract
The Agulhas Plain on the southern tip of South Africa falls within the world’s “hottest” hot‐spot of plant diversity and endemism. Fynbos communities and renoster shrubland form the dominant vegetation types on the plain, but these have been severely fragmented by agriculture, alien plant invasions, and coastal resort development. Most of the vegetation communities are under‐represented within existing protected areas, and most of the land is privately owned. We recommend that a contractual national park, involving both private and public land owners, be established on the plain, and we have developed a reserve‐selection algorithm that provides a flexible tool for selecting representative areas for protection. The algorithm is a stepwise heuristic, with rules for including mandatory areas, forcing adjacency, and excluding undesirable areas. The selection units of the algorithm are 3 × 3 km cells, and the goal of the algorithm is to simultaneously select different target areas ( percentages of total areas) of 11 vegetation types, as well as one population of each of the 99 endemic species, in the smallest area possible. Eight variations of the algorithm were run to provide flexibility in the results. Between 55 and 61 cells (out of a total of 193) were selected, 45 of which were common to all variations. Invoking the adjacency rule, or avoiding alien cells, costs less than 5% extra area. Six of the vegetation types are close to their targets, and the remaining 5 are over‐represented by between 46–166%. Percentage over‐representation is negatively and significantly correlated with percentage target. Between 72–78% of endemic species are represented more than once in the final sets of cells, and the gamma diversity of the Agulhas Plain is incidentally accommodated for. We suggest that the 45 cells common to all algorithm variations form the core of the contractual national park. Final reserve boundaries will differ from those of the selection units, so, as management boundaries are progressively defined, the algorithm can be rerun to account for the changes in the reserved areas of target features. We thus provide a dynamic and flexible tool for reevaluating priorities during the development of a park.
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DOI: 10.1046/j.1523-1739.1997.96043.x
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Fynbos communities and renoster shrubland form the dominant vegetation types on the plain, but these have been severely fragmented by agriculture, alien plant invasions, and coastal resort development. Most of the vegetation communities are under‐represented within existing protected areas, and most of the land is privately owned. We recommend that a contractual national park, involving both private and public land owners, be established on the plain, and we have developed a reserve‐selection algorithm that provides a flexible tool for selecting representative areas for protection. The algorithm is a stepwise heuristic, with rules for including mandatory areas, forcing adjacency, and excluding undesirable areas. The selection units of the algorithm are 3 × 3 km cells, and the goal of the algorithm is to simultaneously select different target areas ( percentages of total areas) of 11 vegetation types, as well as one population of each of the 99 endemic species, in the smallest area possible. Eight variations of the algorithm were run to provide flexibility in the results. Between 55 and 61 cells (out of a total of 193) were selected, 45 of which were common to all variations. Invoking the adjacency rule, or avoiding alien cells, costs less than 5% extra area. Six of the vegetation types are close to their targets, and the remaining 5 are over‐represented by between 46–166%. Percentage over‐representation is negatively and significantly correlated with percentage target. Between 72–78% of endemic species are represented more than once in the final sets of cells, and the gamma diversity of the Agulhas Plain is incidentally accommodated for. 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Most of the vegetation communities are under‐represented within existing protected areas, and most of the land is privately owned. We recommend that a contractual national park, involving both private and public land owners, be established on the plain, and we have developed a reserve‐selection algorithm that provides a flexible tool for selecting representative areas for protection. The algorithm is a stepwise heuristic, with rules for including mandatory areas, forcing adjacency, and excluding undesirable areas. The selection units of the algorithm are 3 × 3 km cells, and the goal of the algorithm is to simultaneously select different target areas ( percentages of total areas) of 11 vegetation types, as well as one population of each of the 99 endemic species, in the smallest area possible. Eight variations of the algorithm were run to provide flexibility in the results. Between 55 and 61 cells (out of a total of 193) were selected, 45 of which were common to all variations. 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T.</forename><surname>Lombard</surname></persName><affiliation>FitzPatrick Institute, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa, alombard@botzoo.uct.ac.za</affiliation></author><author xml:id="author-2"><persName><forename type="first">R. M.</forename><surname>Cowling</surname></persName><affiliation>Institute for Plant Conservation, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa,</affiliation></author><author xml:id="author-3"><persName><forename type="first">R. L.</forename><surname>Pressey</surname></persName><affiliation>New South Wales National Parks and Wildlife Service, PO Box 402, Armidale, NSW 2350, Australia</affiliation></author><author xml:id="author-4"><persName><forename type="first">P. J.</forename><surname>Mustart</surname></persName><affiliation>Institute for Plant Conservation, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa,</affiliation></author></analytic><monogr><title level="j">Conservation Biology</title><title level="j" type="abbrev">Conservation Biology</title><idno type="pISSN">0888-8892</idno><idno type="eISSN">1523-1739</idno><idno type="DOI">10.1111/(ISSN)1523-1739</idno><imprint><publisher>Blackwell Science Inc</publisher><pubPlace>Cambridge, MA, USA</pubPlace><date type="published" when="1997-10-16"></date><biblScope unit="volume">11</biblScope><biblScope unit="issue">5</biblScope><biblScope unit="page" from="1101">1101</biblScope><biblScope unit="page" to="1116">1116</biblScope></imprint></monogr><idno type="istex">E90B2B2695A6587E809AC770AE06D9872250B8FC</idno><idno type="DOI">10.1046/j.1523-1739.1997.96043.x</idno><idno type="ArticleID">COBI96043</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>1997</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The Agulhas Plain on the southern tip of South Africa falls within the world’s “hottest” hot‐spot of plant diversity and endemism. Fynbos communities and renoster shrubland form the dominant vegetation types on the plain, but these have been severely fragmented by agriculture, alien plant invasions, and coastal resort development. Most of the vegetation communities are under‐represented within existing protected areas, and most of the land is privately owned. We recommend that a contractual national park, involving both private and public land owners, be established on the plain, and we have developed a reserve‐selection algorithm that provides a flexible tool for selecting representative areas for protection. The algorithm is a stepwise heuristic, with rules for including mandatory areas, forcing adjacency, and excluding undesirable areas. The selection units of the algorithm are 3 × 3 km cells, and the goal of the algorithm is to simultaneously select different target areas ( percentages of total areas) of 11 vegetation types, as well as one population of each of the 99 endemic species, in the smallest area possible. Eight variations of the algorithm were run to provide flexibility in the results. Between 55 and 61 cells (out of a total of 193) were selected, 45 of which were common to all variations. Invoking the adjacency rule, or avoiding alien cells, costs less than 5% extra area. Six of the vegetation types are close to their targets, and the remaining 5 are over‐represented by between 46–166%. Percentage over‐representation is negatively and significantly correlated with percentage target. Between 72–78% of endemic species are represented more than once in the final sets of cells, and the gamma diversity of the Agulhas Plain is incidentally accommodated for. We suggest that the 45 cells common to all algorithm variations form the core of the contractual national park. Final reserve boundaries will differ from those of the selection units, so, as management boundaries are progressively defined, the algorithm can be rerun to account for the changes in the reserved areas of target features. We thus provide a dynamic and flexible tool for reevaluating priorities during the development of a park.</p></abstract><abstract xml:lang="es"><p>La región de Agulhas Plain, en el extremo austral de Sudáfrica, cae dentro del centro de diversidad vegetal y endemismo más sobresaliente del planeta. Las comunidades leñosas de fynbos y renoster forman los tipos de vegetación dominante en la región, aunque se encuentran severamente fragmentadas por la agricultura, la invasión de plantas exóticas y el desarrollo turístico costero. Casi todas las comunidades vegetales están infrarrepresentadas en las áreas protegidas ya existentes y la mayor parte de la región es propiedad privada. Se recomienda el establecimiento en dicha región de un parque nacional contractual que involucre a propietarios privados y públicos. Para ello, se ha desarrollado un algoritmo de selección de reserva que constituye una herramienta flexible para seleccionar áreas representativas a proteger. Es un algoritmo heurístico paso a paso con reglas para incluir áreas esenciales, forzar aglutinamiento y excluir áreas no deseables. Las unidades de selección del algoritmo son celdas de 3 × 3 km y su ventaja más destacable es que selecciona de forma simultánea diferentes áreas‐blanco ( porcentajes de las áreas totales) de cada uno de los once tipos de vegetación, así como una población de cada una de las 99 especies endémicas, en la menor área posible. Se han llevado a cabo ocho variaciones del algoritmo para dotar de flexibilidad a los resultados. Se seleccionaron entre 55 y 61 celdas (de un total de 193), 45 de las cuales fueron comunes a todas las variaciones. El considerar la regla del aglutinamiento o descartar celdas dominadas por plantas exóticas requiere menos de un 5% de área extra. Seis de los tipos de vegetación están cercanos a su área‐blanco y los cinco restantes están un 46–166% sobrerrepresentados. El porcentaje de sobrerrepresentación está negativamente y significativamente correlacionado con la proporción de área considerada área‐blanco. Entre el 72–78% de las especies endémicas están representadas más de una vez en los conjuntos finales de celdas, estando la diversidad gamma de la región de Agulhas Plain incidentalmente representada. Se sugiere que las 45 celdas comunes a todas las variaciones del algoritmo formen la parte principal del parque nacional contractual. Los límites finales de la reserva diferirán de los de las unidades de selección, ya que los límites de gestión se definen progresivamente, por lo que el algoritmo puede llevarse a cabo para tener en cuenta los cambios en zonas reservadas de áreas blanco. Así pues, se proporciona una herramienta dinámica y flexible para reevaluar prioridades durante el desarrollo del parque.</p></abstract></profileDesc><revisionDesc><change when="1997-10-16">Published</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2016-12-13">References added</change><change xml:id="refBibs-istex" who="#ISTEX-API" when="2017-02-9">References added</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/E90B2B2695A6587E809AC770AE06D9872250B8FC/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley component found"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component version="2.0" type="serialArticle" xml:lang="en"><header><publicationMeta level="product"><publisherInfo><publisherName>Blackwell Science Inc</publisherName><publisherLoc>Cambridge, MA, USA</publisherLoc></publisherInfo><doi origin="wiley" registered="yes">10.1111/(ISSN)1523-1739</doi><issn type="print">0888-8892</issn><issn type="electronic">1523-1739</issn><idGroup><id type="product" value="COBI"></id><id type="publisherDivision" value="ST"></id></idGroup><titleGroup><title type="main" sort="CONSERVATION BIOLOGY">Conservation Biology</title><title type="short">Conservation Biology</title></titleGroup></publicationMeta><publicationMeta level="part" position="10005"><doi origin="wiley">10.1111/cbi.1997.11.issue-5</doi><numberingGroup><numbering type="journalVolume" number="11">11</numbering><numbering type="journalIssue" number="5">5</numbering></numberingGroup><coverDate startDate="1997-10-16">October 1997</coverDate></publicationMeta><publicationMeta level="unit" type="miscellaneous" position="0110100" status="forIssue"><doi origin="wiley">10.1046/j.1523-1739.1997.96043.x</doi><idGroup><id type="unit" value="COBI96043"></id></idGroup><countGroup><count type="pageTotal" number="16"></count></countGroup><titleGroup><title type="tocHeading1">Contributed Papers</title></titleGroup><copyright>Society for Conservation Biology</copyright><eventGroup><event type="firstOnline" date="2003-03-06"></event><event type="publishedOnlineFinalForm" date="2003-03-06"></event><event type="xmlConverted" agent="Converter:BPG_TO_WML3G version:2.3.2 mode:FullText source:Header result:Header" date="2010-03-09"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:3.8.8" date="2014-01-15"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.1.7 mode:FullText,remove_FC" date="2014-10-17"></event></eventGroup><numberingGroup><numbering type="pageFirst" number="1101">1101</numbering><numbering type="pageLast" number="1116">1116</numbering></numberingGroup><linkGroup><link type="toTypesetVersion" href="file:COBI.COBI96043.pdf"></link></linkGroup></publicationMeta><contentMeta><countGroup><count type="figureTotal" number="0"></count><count type="tableTotal" number="0"></count><count type="formulaTotal" number="0"></count><count type="referenceTotal" number="0"></count><count type="wordTotal" number="8957"></count><count type="linksPubMed" number="0"></count><count type="linksCrossRef" number="0"></count></countGroup><titleGroup><title type="main">Reserve Selection in a Species‐Rich and Fragmented Landscape on the Agulhas Plain, South Africa</title><title type="subtitle">Selección de Reservas en un Paisaje Fragmentado Rico en Especies de la Planicie Agulhas, Sudáfrica</title></titleGroup><creators><creator creatorRole="author" xml:id="cr1" affiliationRef="#a1"><personName><givenNames>A. 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J.</givenNames><familyName>Mustart</familyName></personName></creator></creators><affiliationGroup><affiliation xml:id="a1" countryCode="ZA"><unparsedAffiliation> FitzPatrick Institute, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa, <email>alombard@botzoo.uct.ac.za</email></unparsedAffiliation></affiliation><affiliation xml:id="a2" countryCode="ZA"><unparsedAffiliation>Institute for Plant Conservation, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa,</unparsedAffiliation></affiliation><affiliation xml:id="a3" countryCode="AU"><unparsedAffiliation>New South Wales National Parks and Wildlife Service, PO Box 402, Armidale, NSW 2350, Australia</unparsedAffiliation></affiliation></affiliationGroup><abstractGroup><abstract type="main" xml:lang="en"><p>The Agulhas Plain on the southern tip of South Africa falls within the world’s “hottest” hot‐spot of plant diversity and endemism. Fynbos communities and renoster shrubland form the dominant vegetation types on the plain, but these have been severely fragmented by agriculture, alien plant invasions, and coastal resort development. Most of the vegetation communities are under‐represented within existing protected areas, and most of the land is privately owned. We recommend that a contractual national park, involving both private and public land owners, be established on the plain, and we have developed a reserve‐selection algorithm that provides a flexible tool for selecting representative areas for protection. The algorithm is a stepwise heuristic, with rules for including mandatory areas, forcing adjacency, and excluding undesirable areas. The selection units of the algorithm are 3 × 3 km cells, and the goal of the algorithm is to simultaneously select different target areas ( percentages of total areas) of 11 vegetation types, as well as one population of each of the 99 endemic species, in the smallest area possible. Eight variations of the algorithm were run to provide flexibility in the results. Between 55 and 61 cells (out of a total of 193) were selected, 45 of which were common to all variations. Invoking the adjacency rule, or avoiding alien cells, costs less than 5% extra area. Six of the vegetation types are close to their targets, and the remaining 5 are over‐represented by between 46–166%. Percentage over‐representation is negatively and significantly correlated with percentage target. Between 72–78% of endemic species are represented more than once in the final sets of cells, and the gamma diversity of the Agulhas Plain is incidentally accommodated for. We suggest that the 45 cells common to all algorithm variations form the core of the contractual national park. Final reserve boundaries will differ from those of the selection units, so, as management boundaries are progressively defined, the algorithm can be rerun to account for the changes in the reserved areas of target features. We thus provide a dynamic and flexible tool for reevaluating priorities during the development of a park.</p></abstract><abstract type="main" xml:lang="es"><p>La región de Agulhas Plain, en el extremo austral de Sudáfrica, cae dentro del centro de diversidad vegetal y endemismo más sobresaliente del planeta. Las comunidades leñosas de fynbos y renoster forman los tipos de vegetación dominante en la región, aunque se encuentran severamente fragmentadas por la agricultura, la invasión de plantas exóticas y el desarrollo turístico costero. Casi todas las comunidades vegetales están infrarrepresentadas en las áreas protegidas ya existentes y la mayor parte de la región es propiedad privada. Se recomienda el establecimiento en dicha región de un parque nacional contractual que involucre a propietarios privados y públicos. Para ello, se ha desarrollado un algoritmo de selección de reserva que constituye una herramienta flexible para seleccionar áreas representativas a proteger. Es un algoritmo heurístico paso a paso con reglas para incluir áreas esenciales, forzar aglutinamiento y excluir áreas no deseables. Las unidades de selección del algoritmo son celdas de 3 × 3 km y su ventaja más destacable es que selecciona de forma simultánea diferentes áreas‐blanco ( porcentajes de las áreas totales) de cada uno de los once tipos de vegetación, así como una población de cada una de las 99 especies endémicas, en la menor área posible. Se han llevado a cabo ocho variaciones del algoritmo para dotar de flexibilidad a los resultados. Se seleccionaron entre 55 y 61 celdas (de un total de 193), 45 de las cuales fueron comunes a todas las variaciones. El considerar la regla del aglutinamiento o descartar celdas dominadas por plantas exóticas requiere menos de un 5% de área extra. Seis de los tipos de vegetación están cercanos a su área‐blanco y los cinco restantes están un 46–166% sobrerrepresentados. El porcentaje de sobrerrepresentación está negativamente y significativamente correlacionado con la proporción de área considerada área‐blanco. Entre el 72–78% de las especies endémicas están representadas más de una vez en los conjuntos finales de celdas, estando la diversidad gamma de la región de Agulhas Plain incidentalmente representada. Se sugiere que las 45 celdas comunes a todas las variaciones del algoritmo formen la parte principal del parque nacional contractual. Los límites finales de la reserva diferirán de los de las unidades de selección, ya que los límites de gestión se definen progresivamente, por lo que el algoritmo puede llevarse a cabo para tener en cuenta los cambios en zonas reservadas de áreas blanco. Así pues, se proporciona una herramienta dinámica y flexible para reevaluar prioridades durante el desarrollo del parque.</p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Reserve Selection in a Species‐Rich and Fragmented Landscape on the Agulhas Plain, South Africa</title><subTitle>Selección de Reservas en un Paisaje Fragmentado Rico en Especies de la Planicie Agulhas, Sudáfrica</subTitle></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Reserve Selection in a Species‐Rich and Fragmented Landscape on the Agulhas Plain, South Africa</title></titleInfo><name type="personal"><namePart type="given">A. T.</namePart><namePart type="family">Lombard</namePart><affiliation>FitzPatrick Institute, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa, alombard@botzoo.uct.ac.za</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">R. M.</namePart><namePart type="family">Cowling</namePart><affiliation>Institute for Plant Conservation, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa,</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">R. L.</namePart><namePart type="family">Pressey</namePart><affiliation>New South Wales National Parks and Wildlife Service, PO Box 402, Armidale, NSW 2350, Australia</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">P. J.</namePart><namePart type="family">Mustart</namePart><affiliation>Institute for Plant Conservation, University of Cape Town, Private Bag Rondebosch, Cape Town 7700, South Africa,</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="other" displayLabel="miscellaneous"></genre><originInfo><publisher>Blackwell Science Inc</publisher><place><placeTerm type="text">Cambridge, MA, USA</placeTerm></place><dateIssued encoding="w3cdtf">1997-10-16</dateIssued><copyrightDate encoding="w3cdtf">1997</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType><extent unit="words">8957</extent></physicalDescription><abstract lang="en">The Agulhas Plain on the southern tip of South Africa falls within the world’s “hottest” hot‐spot of plant diversity and endemism. Fynbos communities and renoster shrubland form the dominant vegetation types on the plain, but these have been severely fragmented by agriculture, alien plant invasions, and coastal resort development. Most of the vegetation communities are under‐represented within existing protected areas, and most of the land is privately owned. We recommend that a contractual national park, involving both private and public land owners, be established on the plain, and we have developed a reserve‐selection algorithm that provides a flexible tool for selecting representative areas for protection. The algorithm is a stepwise heuristic, with rules for including mandatory areas, forcing adjacency, and excluding undesirable areas. The selection units of the algorithm are 3 × 3 km cells, and the goal of the algorithm is to simultaneously select different target areas ( percentages of total areas) of 11 vegetation types, as well as one population of each of the 99 endemic species, in the smallest area possible. Eight variations of the algorithm were run to provide flexibility in the results. Between 55 and 61 cells (out of a total of 193) were selected, 45 of which were common to all variations. Invoking the adjacency rule, or avoiding alien cells, costs less than 5% extra area. Six of the vegetation types are close to their targets, and the remaining 5 are over‐represented by between 46–166%. Percentage over‐representation is negatively and significantly correlated with percentage target. Between 72–78% of endemic species are represented more than once in the final sets of cells, and the gamma diversity of the Agulhas Plain is incidentally accommodated for. We suggest that the 45 cells common to all algorithm variations form the core of the contractual national park. Final reserve boundaries will differ from those of the selection units, so, as management boundaries are progressively defined, the algorithm can be rerun to account for the changes in the reserved areas of target features. We thus provide a dynamic and flexible tool for reevaluating priorities during the development of a park.</abstract><abstract lang="es">La región de Agulhas Plain, en el extremo austral de Sudáfrica, cae dentro del centro de diversidad vegetal y endemismo más sobresaliente del planeta. Las comunidades leñosas de fynbos y renoster forman los tipos de vegetación dominante en la región, aunque se encuentran severamente fragmentadas por la agricultura, la invasión de plantas exóticas y el desarrollo turístico costero. Casi todas las comunidades vegetales están infrarrepresentadas en las áreas protegidas ya existentes y la mayor parte de la región es propiedad privada. Se recomienda el establecimiento en dicha región de un parque nacional contractual que involucre a propietarios privados y públicos. Para ello, se ha desarrollado un algoritmo de selección de reserva que constituye una herramienta flexible para seleccionar áreas representativas a proteger. Es un algoritmo heurístico paso a paso con reglas para incluir áreas esenciales, forzar aglutinamiento y excluir áreas no deseables. Las unidades de selección del algoritmo son celdas de 3 × 3 km y su ventaja más destacable es que selecciona de forma simultánea diferentes áreas‐blanco ( porcentajes de las áreas totales) de cada uno de los once tipos de vegetación, así como una población de cada una de las 99 especies endémicas, en la menor área posible. Se han llevado a cabo ocho variaciones del algoritmo para dotar de flexibilidad a los resultados. Se seleccionaron entre 55 y 61 celdas (de un total de 193), 45 de las cuales fueron comunes a todas las variaciones. El considerar la regla del aglutinamiento o descartar celdas dominadas por plantas exóticas requiere menos de un 5% de área extra. Seis de los tipos de vegetación están cercanos a su área‐blanco y los cinco restantes están un 46–166% sobrerrepresentados. El porcentaje de sobrerrepresentación está negativamente y significativamente correlacionado con la proporción de área considerada área‐blanco. Entre el 72–78% de las especies endémicas están representadas más de una vez en los conjuntos finales de celdas, estando la diversidad gamma de la región de Agulhas Plain incidentalmente representada. Se sugiere que las 45 celdas comunes a todas las variaciones del algoritmo formen la parte principal del parque nacional contractual. Los límites finales de la reserva diferirán de los de las unidades de selección, ya que los límites de gestión se definen progresivamente, por lo que el algoritmo puede llevarse a cabo para tener en cuenta los cambios en zonas reservadas de áreas blanco. Así pues, se proporciona una herramienta dinámica y flexible para reevaluar prioridades durante el desarrollo del parque.</abstract><relatedItem type="host"><titleInfo><title>Conservation Biology</title></titleInfo><titleInfo type="abbreviated"><title>Conservation Biology</title></titleInfo><genre type="journal">journal</genre><identifier type="ISSN">0888-8892</identifier><identifier type="eISSN">1523-1739</identifier><identifier type="DOI">10.1111/(ISSN)1523-1739</identifier><identifier type="PublisherID">COBI</identifier><part><date>1997</date><detail type="volume"><caption>vol.</caption><number>11</number></detail><detail type="issue"><caption>no.</caption><number>5</number></detail><extent unit="pages"><start>1101</start><end>1116</end><total>16</total></extent></part></relatedItem><identifier type="istex">E90B2B2695A6587E809AC770AE06D9872250B8FC</identifier><identifier type="DOI">10.1046/j.1523-1739.1997.96043.x</identifier><identifier type="ArticleID">COBI96043</identifier><accessCondition type="use and reproduction" contentType="copyright">Society for Conservation Biology</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource><recordOrigin>Blackwell Science Inc</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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