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<front>
<journal-meta>
<journal-id journal-id-type="publisher">NHESSD</journal-id>
<journal-title-group>
<journal-title>Natural Hazards and Earth System Sciences Discussions</journal-title>
<abbrev-journal-title abbrev-type="publisher">NHESSD</abbrev-journal-title>
<abbrev-journal-title abbrev-type="nlm-ta">Nat. Hazards Earth Syst. Sci. Discuss.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2195-9269</issn>
<publisher><publisher-name></publisher-name>
<publisher-loc>Göttingen, Germany</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.5194/nhess-2024-124</article-id>
<title-group>
<article-title>Potential Climate Risk Management in German Regions: Case Studies in Lusatia, inner part Spree Forest and Ahr Valley Region</article-title>
</title-group>
<contrib-group><contrib contrib-type="author" xlink:type="simple"><name name-style="western"><surname>Reinstädtler</surname>
<given-names>Sandra</given-names>
<ext-link>https://orcid.org/0000-0002-9261-0767</ext-link>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
</contrib-group><aff id="aff1">
<label>1</label>
<addr-line>Independent researcher, Cottbus, 03044</addr-line>
</aff>
<aff id="aff2">
<label>2</label>
<addr-line>formerly at: University of Technology Dresden - Alumna, Dresden, 01069, Germany</addr-line>
</aff>
<aff id="aff3">
<label>3</label>
<addr-line>formerly at: Faculty of Environmental Sciences and Process Engineering and Faculty of Environment and Natural Sciences, Brandenburg University of Technology Cottbus-Senftenberg, Cottbus, 03046, Germany</addr-line>
</aff>
<pub-date pub-type="epub">
<day>19</day>
<month>05</month>
<year>2025</year>
</pub-date>
<volume>2025</volume>
<fpage>1</fpage>
<lpage>38</lpage>
<permissions>
<copyright-statement>Copyright: &#x000a9; 2025 Sandra Reinstädtler</copyright-statement>
<copyright-year>2025</copyright-year>
<license license-type="open-access">
<license-p>This work is licensed under the Creative Commons Attribution 4.0 International License. To view a copy of this licence, visit <ext-link ext-link-type="uri"  xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link></license-p>
</license>
</permissions>
<self-uri xlink:href="https://nhess.copernicus.org/preprints/nhess-2024-124/">This article is available from https://nhess.copernicus.org/preprints/nhess-2024-124/</self-uri>
<self-uri xlink:href="https://nhess.copernicus.org/preprints/nhess-2024-124/nhess-2024-124.pdf">The full text article is available as a PDF file from https://nhess.copernicus.org/preprints/nhess-2024-124/nhess-2024-124.pdf</self-uri>
<abstract>
<p>The continuously more frequently threatening disasters are triggered mainly by climate change, next to further natural and cultural drivers. Continuously increasing global temperature and climate change represent current threats for rural and urban areas of the world, as well as Germany. Therefore, the high risks and spatially exposed situations of &amp;ndash; in this research exclusively &amp;ndash; terrestrial inhabitants for natural hazards are displayed next to dry land ecosystems, wetlands, and low mountain ranges with their cultural and natural landscapes.&lt;/p&gt;
&lt;p&gt;The here supported regional perspective (embedded in a broader global research endeavour) includes a comparative assessment of three case studies from regions of Lusatia, the inner part lying Region of Spree Forest, the 2021 highly flood-affected Ahr Valley. This research analyzed the present CRM-implementation situation and its` behind risks behaviour within processing CRM. The result is a resume for an optimized, innovative and effective Climate Risk Management (CRM).</p>
</abstract>
<counts><page-count count="38"/></counts>
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