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<eml:eml scope="system" system="https://dataportal.senckenberg.de" packageId="17f4daf0-0ff0-45c0-8b92-4c5c70e2f227" xsi:schemaLocation="https://eml.ecoinformatics.org/eml-2.2.0" xmlns:eml="https://eml.ecoinformatics.org/eml-2.2.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"><dataset><title>Relationships large mammals, scenery, additional determinants and wildlife tourism in Kruger National Park, South Africa</title><creator><individualName><givenName>Claudia</givenName><surName>Gruenewald</surName></individualName><organizationName>Senckenberg Biodiversity and Climate Research Centre (BiK-F)</organizationName><address /></creator><associatedParty><individualName><givenName>Claudia</givenName><surName>Gruenewald</surName></individualName><role>associatedParty</role></associatedParty><associatedParty><individualName><givenName>Katrin</givenName><surName>B&#246;hning-Gaese</surName></individualName><role>Co-owner</role></associatedParty><pubDate>2016-07-01</pubDate><abstract><para>Wildlife tourism is an important cultural ecosystem service,
benefiting regional economies and biodiversity conservation. Many
wildlife tourism destinations remain below their visitor and income
capacities. Management strategies are needed that increase visitor
satisfaction and a destination's reputation to attract more visitors.
Wildlife tourism can be directly linked to biodiversity, but might also
be directly and indirectly influenced by other factors, such as landscape
features or infrastructure. We investigated the relationships between
visitor numbers and biodiversity, along with other factors, in a major
wildlife tourism destination using structural equation modeling and
additionally assessed visitors' expectations and viewing preferences. We
simultaneously recorded large mammal and visitor data along 78 road
transects in Kruger National Park (KNP), South Africa, and conducted
interviews with visitors. We also collected data on vegetation cover,
visibility, landscape features and infrastructure. We found high visitor
numbers at transects with high sighting probabilities of large predators,
while other factors, e.g. ungulate densities or infrastructure, were only
weakly associated with visitor numbers. Consistently, interview results
suggested that seeing wildlife was the main reason for visiting the park,
and large predators, especially lions and leopards, ranked highest among
the visitors' wildlife preferences. Our results demonstrate that wildlife
tourists in KNP are primarily attracted to large predators. To meet
visitor expectations and to increase visitor numbers, park management
should focus on the conservation of natural savannah ecosystems with
large predator and prey populations. With such an ecosystem-based
management, biodiversity conservation can be successful while securing
wildlife tourism and its revenues.</para></abstract><keywordSet><keyword>biodiversity</keyword><keyword>ecosystem services</keyword><keyword>landscape</keyword><keyword>visitor</keyword><keyword>wildlife tourism</keyword></keywordSet><intellectualRights><para>Obtain permission from data set owner(s)</para></intellectualRights><coverage><geographicCoverage><geographicDescription>Southern part of Kruger National Park, South Africa</geographicDescription><boundingCoordinates><westBoundingCoordinate>31.6056</westBoundingCoordinate><eastBoundingCoordinate>31.6056</eastBoundingCoordinate><northBoundingCoordinate>-24.9503</northBoundingCoordinate><southBoundingCoordinate>-24.9503</southBoundingCoordinate></boundingCoordinates></geographicCoverage><temporalCoverage><rangeOfDates><beginDate><calendarDate>2012-06-01</calendarDate></beginDate><endDate><calendarDate>2012-08-01</calendarDate></endDate></rangeOfDates></temporalCoverage></coverage><contact><individualName><givenName>Claudia</givenName><surName>Gruenewald</surName></individualName><organizationName>Senckenberg Biodiversity and Climate Research Centre (BiK-F)</organizationName><address /><electronicMailAddress>claudia.gruenewald@senckenberg.de</electronicMailAddress></contact></dataset><additionalMetadata>
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