<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>247</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>18</pageNumber>
    <edition/>
    <issue>5</issue>
    <volume>11</volume>
    <type>article</type>
    <publisherName>MDPI</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>2022-06-17</completedDate>
    <publishedDate>2021-03-08</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Water Budgets of Managed Forests in Northeast Germany under Climate Change - Results from a Model Study on Forest Monitoring Sites</title>
    <abstract language="eng">To develop measures to reduce the vulnerability of forests to drought, it is necessary to estimate specific water balances in sites and to estimate their development with climate change scenarios. We quantified the water balance of seven forest monitoring sites in northeast Germany for the historical time period 1961–2019, and for climate change projections for the time period 2010–2100. We used the LWF-BROOK90 hydrological model forced with historical data, and bias-adjusted data from two models of the fifth phase of the Coupled Model Intercomparison Project (CMIP5) downscaled with regional climate models under the representative concentration pathways (RCPs) 2.6 and 8.5. Site-specific monitoring data were used to give a realistic model input and to calibrate and validate the model. The results revealed significant trends (evapotranspiration, dry days (actual/potential transpiration &lt; 0.7)) toward drier conditions within the historical time period and demonstrate the extreme conditions of 2018 and 2019. Under RCP8.5, both models simulate an increase in evapotranspiration and dry days. The response of precipitation to climate change is ambiguous, with increasing precipitation with one model. Under RCP2.6, both models do not reveal an increase in drought in 2071–2100 compared to 1990–2019. The current temperature increase fits RCP8.5 simulations, suggesting that this scenario is more realistic than RCP2.6</abstract>
    <parentTitle language="eng">Applied Sciences</parentTitle>
    <identifier type="doi">10.3390/app11052403</identifier>
    <identifier type="issn">2076-3417</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-2470</identifier>
    <enrichment key="opus.source">publish</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Daniel Ziche</author>
    <author>Winfried Riek</author>
    <author>Alexander Russ</author>
    <author>Rainer Hentschel</author>
    <author>Jan Martin</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>evapotranspiration</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>soil moisture</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>drought</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>CMIP5</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>RCP</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>LWF-BROOK90</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ICP Forest</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>soil hydrological model</value>
    </subject>
    <collection role="ddc" number="551">Geologie, Hydrologie, Meteorologie</collection>
    <collection role="ddc" number="634">Obstanlagen, Früchte, Forstwirtschaft</collection>
    <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/247/applsci-11-02403-v2.pdf</file>
  </doc>
  <doc>
    <id>328</id>
    <completedYear>2018</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>17</pageNumber>
    <edition/>
    <issue>9</issue>
    <volume/>
    <type>article</type>
    <publisherName>Frontiers Media S.A.</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2018-11-13</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Importance of Ecological Variables in Explaining Population Dynamics of Three Important Pine Pest Insects</title>
    <abstract language="deu">Climate change challenges forest vitality both directly by increasing drought and heat periods and indirectly, e.g., by creating favorable conditions for mass outbreaks of phyllophagous insects. The large forests dominated by Scots pine (Pinus sylvestris L.) that cover the lowland regions in northeast Germany have already been affected regularly by cyclic mass propagations of defoliating insect species in the past with climate projections implying an even more advantageous environment for devastating outbreaks in the future. To improve predictive and responsive capacities we have investigated a wide range of ecological parameters to identify those most strongly related to past outbreak waves of three central species. In total, we analyzed 3,748 variables covering stand and neighborhood properties, site quality, and climatic conditions for an area of roughly 750,000 ha of pine forests in the period 2002–2016. To reflect sensitivity against varying climate, we computed “floating windows” in relation to critical phenological phases of the respective insects. The parameters with the highest explanatory power resulted from the variable importance measures of the Random Forest (RF) methodology and have been evaluated by a 10-fold cross-validation process. Our findings closely reflect the known specific gradation patterns and show that relative variable importance varies with species. While Lymantria monacha L. feeding was mainly dependent on the surroundings of the respective stand, Diprion pini L. proved to be almost exclusively susceptible to climatic effects in its population dynamics. Dendrolimus pini L. exhibited a mixed pattern of variable importance involving both climatic and forest structure parameters. In many cases the obtained statistical results support well-known ecological cause-effect relations and long-term population change dynamics. The RF delivered very high levels of sensitivity and specificity in the developed classifications and proved to be an excellent tool to handle the large amounts of data utilized for this study. While the presented classification approach may already support a better prognosis of the amplitude during the outbreak culmination, the obtained (most important) variables are proposed as preferable covariates for modeling population dynamics of the investigated insect species.</abstract>
    <parentTitle language="eng">Frontiers in Plant Science</parentTitle>
    <identifier type="doi">10.3389/fpls.2018.01667</identifier>
    <identifier type="issn">1664-462X</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-3285</identifier>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Rainer Hentschel</author>
    <author>Katrin Möller</author>
    <author>Aline Wenning</author>
    <author>Annett Degenhardt</author>
    <author>Jens Schröder</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>ecological modeling</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Random Forest</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mass outbreak</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Pinus sylvestris</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Lymantria monacha</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Dendrolimus pini</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Diprion pini</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/328/fpls-09-01667.pdf</file>
  </doc>
  <doc>
    <id>527</id>
    <completedYear>2021</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>deu</language>
    <pageFirst>104</pageFirst>
    <pageLast>128</pageLast>
    <pageNumber/>
    <edition/>
    <issue/>
    <volume/>
    <type>bookpart</type>
    <publisherName/>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation>Ministerium für Landwirtschaft, Umwelt und Klimaschutz des Landes Brandenburg; Landesbetrieb Forst Brandenburg</contributingCorporation>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>--</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="deu">Prognose zur Entwicklung der Rot-Buche unter veränderten Wasserhaushaltsbedingungen</title>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-5276</identifier>
    <licence>Urheberrechtsschutz</licence>
    <author>Winfried Riek</author>
    <author>Alexander Russ</author>
    <author>Daniel Ziche</author>
    <author>Rainer Hentschel</author>
    <author>Andrea Brini</author>
    <series>
      <title>Eberswalder forstliche Schriftenreihe</title>
      <number>71</number>
    </series>
    <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="">Transferbeiträge</collection>
    <collection role="Hochschulbibliographie" number="">Nicht ermittelbar</collection>
    <thesisPublisher>Hochschule für nachhaltige Entwicklung Eberswalde</thesisPublisher>
    <file>https://opus4.kobv.de/opus4-hnee/files/527/Rieketal2021EFSR71.pdf</file>
  </doc>
</export-example>
