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  <doc>
    <id>433</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>1</pageFirst>
    <pageLast>12</pageLast>
    <pageNumber/>
    <edition/>
    <issue>12(10)</issue>
    <volume/>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2021-10-11</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Bark Thickness and Heights of the Bark Transition Area of Scots Pine</title>
    <abstract language="eng">The estimation of forest biomass is gaining interest not only for calculating harvesting volumes but also for carbon storage estimation. However, bark (and carbon) compounds are not distributed equally along the stem. Particularly when looking at Scots pine, a radical change in the structure of the bark along the stem can be noted. At the bark transition area, the bark changes from thick and rough to thin and smooth. The aim of our study was (1) to analyze the height of the bark transition area where the bark structure changes and (2) to analyze the effect of cardinal direction on the bark thickness. Regression analyses and forward selection were performed including measured tree height, DBH, bark thickness, crown base height and upper and lower heights of the bark transition areas of 375 trees. While the cardinal direction had no effect on bark thickness, DBH was found to have a significant effect on the heights of the bark transition areas, with stand density and tree height having a minor additional effect. These variables can be used to estimate timber volume (without bark) with higher accuracy and to predict the carbon storage potential of forest biomass according to different tree compartments and compounds.</abstract>
    <parentTitle language="deu">Forests</parentTitle>
    <identifier type="doi">10.3390/f12101386</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-4330</identifier>
    <identifier type="issn">1999-4907</identifier>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Florian Wilms</author>
    <author>Nils Duppel</author>
    <author>Tobias Cremer</author>
    <author>Ferréol Berendt</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>bark structure; Pinus sylvestris; forward selection; bark types</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="institutes" number="">Fachbereich Wald und Umwelt</collection>
    <collection role="Hochschulbibliographie" number=""/>
    <collection role="Hochschulbibliographie" number="">Zweitveröffentlichung</collection>
    <collection role="Hochschulbibliographie" number="">Referiert</collection>
    <thesisPublisher>Hochschule für nachhaltige Entwicklung Eberswalde</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-hnee/files/433/forests-12-01386-v2.pdf</file>
  </doc>
  <doc>
    <id>554</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>128</pageFirst>
    <pageLast>136</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>conferenceobject</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2021-05-18</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Zuwachsreaktionen nach Nadelverlusten durch Raupenfraß verschiedener Intensität bei Kiefer</title>
    <abstract language="deu">In der vorliegenden Untersuchung wurden nach fernerkundungsbasierter Vorauswahl Probeflächen in durch Raupenfraß der Nonne (Lymantria monacha L.) geschädigten Kieferreinbeständen mittleren Alters angelegt. Es wurden drei Schädigungsklassen (D40, D60, D85) und eine Referenzfläche (D15) berücksichtigt. Neben klassischen ertragskundlichen Aufnahmen wurde sich hauptsächlich auf die Entnahme von Bohrkernen an 15 Baumindividuen pro Probefläche und deren Auswertung konzentriert.&#13;
Durch die Vermessung der Bohrkerne konnten Zeitreihen der Jahrringbreite (JRB) und nachfolgend des Jahrringindex (JRI) berechnet werden. Während für das Hauptfraßjahr 2003 alle vier Probeflächen mit&#13;
einer ähnlichen Zuwachsreduktion reagierten, ergaben sich für das Folgejahr deutliche Unterschiede zwischen den geschädigten Flächen und der Referenz. Letztere erholte sich bereits wieder und wies&#13;
einen JRI von 1,06 auf. Die geschädigten Flächen waren hingegen in ihrem Zuwachs noch stärker eingebrochen, was in einem JRI zwischen 0,20 (D60) und 0,30 (D40) bzw. 0,33 (D85) resultierte. Die folgende Berechnung von Resilienzkomponenten nach Lloret et al. (2011) verdeutlichte ebenfalls die Abhängigkeit zwischen Zuwachs und Entnadelungsgrad. Insbesondere die Recovery weist in diesem Zu-&#13;
sammenhang darauf hin, dass durch die Freistellung der überlebenden Individuen und aufgrund gewisser Düngungseffekte nach dem Fraß ein Zuwachsniveau erreicht wurde, welches über dem der vierjährigen Periode vor dem Schadereignis liegt.</abstract>
    <parentTitle language="deu">Deutscher Verband Forstlicher Forschungsanstalten - Sektion Ertragskunde - Beiträge zur Jahrestagung 2021</parentTitle>
    <identifier type="url">https://sektionertragskunde.nw-fva.de/2021/Band2021.pdf</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-5541</identifier>
    <licence>Urheberrechtsschutz</licence>
    <author>Michael Körner</author>
    <author>Johanna Thiede</author>
    <author>Nils Belecky</author>
    <author>Jannik Kodym</author>
    <author>Florian Wilms</author>
    <author>Charlotte Hinds</author>
    <author>Anne Hänisch</author>
    <author>Susann Dittkrist</author>
    <author>Shahrukh Kamran</author>
    <author>Elias Wodzinowski</author>
    <author>Jacob Böttcher</author>
    <author>Curt Majunke</author>
    <author>Jens Schröder</author>
    <author>Martin Guericke</author>
    <collection role="institutes" number="">Fachbereich Wald und Umwelt</collection>
    <collection role="Hochschulbibliographie" number=""/>
    <collection role="Hochschulbibliographie" number="">Nicht ermittelbar</collection>
    <thesisPublisher>Hochschule für nachhaltige Entwicklung Eberswalde</thesisPublisher>
  </doc>
  <doc>
    <id>956</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>14</volume>
    <type>article</type>
    <publisherName>Nature Publishing Group UK</publisherName>
    <publisherPlace>London</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2024-06-12</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Applying taper function models for black locust plantations in Greek post-mining areas</title>
    <abstract language="eng">Abstract&#13;
                A key process in forest management planning is the estimation of tree volume and, more specifically, merchantable volume. The ability to predict the cumulative stem volume relative to any upper stem diameter on standing trees or stands is essential for forest inventories and the management of forest resources. In the 1980s, the Hellenic Public Power Corporation (HPPC) started the rehabilitation of lignite post-mining areas in Greece by planting mainly black locust ( Robinia pseudoacacia, L.). Today, these plantations occupy an area of approximately 2570 ha, but the stem volume has not yet been estimated. Therefore, we aimed to estimate the over- and under-bark stem volume using taper function models for 30 destructively sampled trees. Of the nineteen calibrated fixed-effects models, Kozak’s (2004) equation performed best for both the over-bark and under-bark datasets, followed by Lee’s (2003) and Muhairwe’s (1999) equations. Two fixed effect models were compared with fitted coefficients from Poland and the United States confirming that the local model fits were better suited, as the foreign model coefficients caused an increase in root mean square error (RMSE) for stem diameter predictions of 13% and 218%, respectively. The addition of random effects on a single-stem basis for two coefficients of Kozak’s (2004) equation improved the model fit significantly at 86% of the over-bark fixed effect RMSE and 69% for the under-bark model. Integrated taper functions were found to slightly outperform three volume equations for predictions of single stem volume over and under bark. Ultimately it was shown that these models can be used to precisely predict stem diameters and total stem volume for the population average as well as for specific trees of the black locust plantations in the study area.</abstract>
    <parentTitle language="eng">Scientific Reports</parentTitle>
    <identifier type="issn">2045-2322</identifier>
    <identifier type="doi">10.1038/s41598-024-63048-1</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-9562</identifier>
    <enrichment key="opus.import.date">2025-01-27T20:18:30+00:00</enrichment>
    <enrichment key="opus.source">sword</enrichment>
    <enrichment key="opus.import.user">deep</enrichment>
    <enrichment key="opus.import.file">attachment; filename=deposit.zip</enrichment>
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    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Florian Wilms</author>
    <author>Ferréol Berendt</author>
    <author>Karol Bronisz</author>
    <author>Ulyana Bashutska</author>
    <author>Mariangela Fotelli</author>
    <author>Kalliopi Radoglou</author>
    <author>Gavriil Spyroglou</author>
    <subject>
      <language>eng</language>
      <type>swd</type>
      <value>-</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Forest landscape restoration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Stem taper</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Tree volume</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Fixed- and mixed-effects modelling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Random coefficients</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>L.</value>
    </subject>
    <collection role="open_access" number="">open_access</collection>
    <collection role="Import" number="import">Import</collection>
    <file>https://opus4.kobv.de/opus4-hnee/files/956/41598_2024_Article_63048.pdf</file>
  </doc>
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