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        <identifier>oai:kochi.repo.nii.ac.jp:00006447</identifier>
        <datestamp>2023-08-21T00:41:21Z</datestamp>
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          <dc:title xml:lang="en">Regime Shifts in Response to Human Impacts and Management in Ecosystems</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>Motomi, Genkai-Kato</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">ecosystem</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">human impact</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">management</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">mathematical model</jpcoar:subject>
          <jpcoar:subject xml:lang="en" subjectScheme="Other">regime shift</jpcoar:subject>
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          <datacite:description descriptionType="Abstract">Ecosystems may have more than one state with a self-stabilizing mechanism, so that a shift between states does not occur frequently and is not readily reversible. These big changes of ecosystem statesare termed regime shifts. Regime shifts are difficult to predict and are problematic for ecosystem managers because of irreversibility. Here I briefly introduce a theoretical approach to predict the shift between a clear-water state and a turbid state in lakes, the best-studied example of regime shifts. This paper also discusses regime shifts in other systems besides ecosystems.</datacite:description>
          <dc:publisher xml:lang="en">Graduate School of Kuroshio Science, Kochi University</dc:publisher>
          <datacite:date dateType="Issued">2011-03-25</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">departmental bulletin paper</dc:type>
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          <jpcoar:identifier identifierType="HDL">http://hdl.handle.net/10126/4822</jpcoar:identifier>
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          <jpcoar:sourceIdentifier identifierType="ISSN">1882823X</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AA12321175</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>黒潮圏科学 = Kuroshio Science</jpcoar:sourceTitle>
          <jpcoar:volume>5</jpcoar:volume>
          <jpcoar:issue>1</jpcoar:issue>
          <jpcoar:pageStart>33</jpcoar:pageStart>
          <jpcoar:pageEnd>37</jpcoar:pageEnd>
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            <datacite:date dateType="Available">2018-04-23</datacite:date>
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