<?xml version="1.0" encoding="UTF-8" ?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-03-15T02:21:25Z</responseDate><request verb="GetRecord" metadataPrefix="datacite" identifier="10.58160/83">https://www.radar-service.eu/oai/OAIHandler</request><GetRecord><record><header><identifier>10.58160/83</identifier><datestamp>2025-11-21T03:07:01Z</datestamp></header><metadata><resource xmlns="http://datacite.org/schema/kernel-4"
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   <identifier identifierType="DOI">10.58160/83</identifier>
   <creators>
      <creator>
         <creatorName>Zhang, Jie</creatorName>
         <givenName>Jie</givenName>
         <familyName>Zhang</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-2599-5983</nameIdentifier>
         <affiliation affiliationIdentifier="https://ror.org/00fbnyb24"
                      affiliationIdentifierScheme="ROR"
                      schemeURI="https://ror.org/">University of Würzburg</affiliation>
      </creator>
      <creator>
         <creatorName>Steffan-Dewenter, Ingolf</creatorName>
         <givenName>Ingolf</givenName>
         <familyName>Steffan-Dewenter</familyName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0003-1359-3944</nameIdentifier>
         <affiliation affiliationIdentifier="https://ror.org/00fbnyb24"
                      affiliationIdentifierScheme="ROR"
                      schemeURI="https://ror.org/">University of Würzburg</affiliation>
      </creator>
   </creators>
   <titles>
      <title>Climate and landscape variables of Bavaria quadrants in LandKlif study design</title>
   </titles>
   <publisher>University of Würzburg</publisher>
   <dates>
      <date dateType="Created">2019</date>
   </dates>
   <publicationYear>2023</publicationYear>
   <subjects>
      <subject>Environmental Science and Ecology</subject>
      <subject>Geography</subject>
      <subject>landscape composition</subject>
      <subject>Bavaria quadrant</subject>
      <subject>climate</subject>
      <subject>elevation</subject>
   </subjects>
   <resourceType resourceTypeGeneral="Dataset"/>
   <rightsList>
      <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
      <rights schemeURI="https://spdx.org/licenses/"
              rightsIdentifierScheme="SPDX"
              rightsIdentifier="CC-BY-NC-4.0"
              rightsURI="https://creativecommons.org/licenses/by-nc/4.0/legalcode">Creative Commons Attribution Non Commercial 4.0 International</rights>
   </rightsList>
   <contributors>
      <contributor contributorType="RightsHolder">
         <contributorName>Zhang, Jie</contributorName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0003-2599-5983</nameIdentifier>
      </contributor>
      <contributor contributorType="RightsHolder">
         <contributorName>Steffan-Dewenter, Ingolf</contributorName>
         <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org/">0000-0003-1359-3944</nameIdentifier>
      </contributor>
   </contributors>
   <descriptions>
      <description descriptionType="Abstract">LandKlif project aims at studying the effects of climate change on biodiversity and ecosystem services in different landscape types. We used the Bavaria quadrants as a representative regions that cover the temperature, precipitation and elevation gradients in Bavaria. We have classified the climate and landscape gradient of Bavaria into 5 climatic zones, 3 landscape types. In each of these climate-landscape zones, 4 replicates have been selected based on distance to our partner institutions and least spatial autocorrelation, resulting in a total of 60 quadrants. The climate and landscape variables of these 60 quadrants are calculated in this dataset. The coordinate system of the shapefiles is ETRS89 / UTM zone 32N (EPSG:25832).</description>
      <description descriptionType="Other">LandKlif is funded by the Bavarian State Ministry of Science and the Arts within the Bavarian Climate Research Network (bayklif).</description>
   </descriptions>
   <language>
          en
        </language>
   <geoLocations>
      <geoLocation>
         <geoLocationPlace>GERMANY</geoLocationPlace>
      </geoLocation>
   </geoLocations>
   <fundingReferences>
      <fundingReference>
         <funderName>Bavarian State Ministry for Science and Art</funderName>
         <funderIdentifier funderIdentifierType="ROR" schemeURI="https://ror.org/">https://ror.org/01a44gd51</funderIdentifier>
      </fundingReference>
   </fundingReferences>
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