<?xml version="1.0" encoding="utf-8"?>
<export-example>
  <doc>
    <id>479</id>
    <completedYear>2022</completedYear>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber>14</pageNumber>
    <edition/>
    <issue>4</issue>
    <volume>13</volume>
    <type>article</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2022-04-27</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Remotely sensed effectiveness assessments of protected areas lack a common framework: A review</title>
    <abstract language="eng">Effective protected areas reflect socio-ecological values, such as biodiversity and habitat maintenance, as well as human well-being. These values, which safeguard ecosystem services in protected areas, are treated as models for the sustainable preservation and use of resources. While there is much research on the effectiveness of protected areas in a variety of disciplines, the question is whether there is a common framework that uses remote sensing methods. We conducted a qualitative and a quantitative analysis of 44 peer-reviewed scientific papers utilizing remote sensing data in order to examine the effectiveness of protected areas. Very few studies to date have a wide or even a global geographical focus; instead, most quantify the effectiveness of protected areas by focusing on local-scale case studies and single indicators such as forest cover change. Methods that help integrate spatial selection approaches, to compare a protected area's characteristics with its surroundings, are increasingly being used. Based on this review, we argue for a multi-indicator-based framework on protected area effectiveness, including the development of a consistent set of socio-ecological indicators for a global analysis. In turn, this will allow for globally applicable use, including a concrete evaluation that considers the diversity of regional parameters, biome-specific variables, and political frameworks. Ideally, such a framework will enhance the monitoring and evaluation of global strategies and conventions.</abstract>
    <parentTitle language="eng">Ecosphere</parentTitle>
    <identifier type="doi">10.1002/ecs2.4053</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-4799</identifier>
    <identifier type="issn">2150-8925</identifier>
    <note>Data are available from figshare: https://doi.org/10.6084/m9.figshare.17198771</note>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Charlotte Gohr</author>
    <author>Henrik von Wehrden</author>
    <author>Felix May</author>
    <author>Pierre L. Ibisch</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>effectiveness; protected areas; remote sensing; socio-ecological indicators</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="institutes" number="">Biosphere Reserves Institute</collection>
    <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/479/Ecosphere_2022_Gohr_Remotely-sensed.pdf</file>
    <file>https://opus4.kobv.de/opus4-hnee/files/479/ecs24053-sup-0001-appendixs1.pdf</file>
  </doc>
  <doc>
    <id>649</id>
    <completedYear>2023</completedYear>
    <publishedYear>2023</publishedYear>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>531</pageFirst>
    <pageLast>537</pageLast>
    <pageNumber>7</pageNumber>
    <edition/>
    <issue>4</issue>
    <volume>16</volume>
    <type>article</type>
    <publisherName>Wiley</publisherName>
    <publisherPlace/>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2023-04-18</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Random year intercepts in mixed models help to assess uncertainties in insect population trends</title>
    <abstract language="deu">1. An increasing number of studies is investigating insect population trends based on time series data. However, the available data is often subject to temporal pseudoreplication. Inter-annual variability of environmental conditions and strong fluctuations in insect abundances can impede reliable trend estimation. Temporal random effect structures in regression models have been proposed as solution for this issue, but remain controversial.&#13;
2. We investigated trends in ground beetle abundance across 24 years using generalised linear mixed models. We fitted four models: A base model, a model featuring a random year intercept, a model featuring basic weather parameters, and a model featuring both random year intercept and weather parameters. We then performed a simple sensitivity analysis to assess the robustness of the four models with respect to influential years, also testing for possible spurious baseline and snapshot effects.&#13;
3. The model structure had a significant impact on the overall magnitude of the estimated trends. However, we found almost no difference among the models in how the removal of single years (sensitivity analysis) relatively affected trend coefficients. The two models with a random year intercept yielded significantly larger confidence intervals and their p-values were more sensitive during sensitivity analysis. Significant differences of the model with random year intercept and weather parameters to all other models suggest that the random year effects and specific weather effects are rather additive than interchangeable.&#13;
4. We conclude that random year intercepts help to produce more reliable and cautious uncertainty measures for insect population trends. Moreover, they might help to identify influential years in sensitivity analyses more easily. We recommend random year intercepts in addition to any variables representing temporally variable environmental conditions, such as weather variables.</abstract>
    <parentTitle language="eng">Insect Conservation and Diversity</parentTitle>
    <identifier type="doi">10.1111/icad.12644</identifier>
    <identifier type="issn">1752-4598</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-6496</identifier>
    <enrichment key="opus.import.data">@articlehttps://doi.org/10.1111/icad.12644, author = Weiss, Fabio and von Wehrden, Henrik and Linde, Andreas, title = Random year intercepts in mixed models help to assess uncertainties in insect population trends, journal = Insect Conservation and Diversity, volume = 16, number = 4, pages = 531-537, keywords = arthropod decline, false baseline effect, insect decline, mixed models, robustness, sensitivity analysis, snapshot effect, temporal pseudoreplication, time series, uncertainty, year effects, doi = https://doi.org/10.1111/icad.12644, url = https://resjournals.onlinelibrary.wiley.com/doi/abs/10.1111/icad.12644, eprint = https://resjournals.onlinelibrary.wiley.com/doi/pdf/10.1111/icad.12644, abstract = Abstract An increasing number of studies is investigating insect population trends based on time series data. However, the available data is often subject to temporal pseudoreplication. Inter-annual variability of environmental conditions and strong fluctuations in insect abundances can impede reliable trend estimation. Temporal random effect structures in regression models have been proposed as solution for this issue, but remain controversial. We investigated trends in ground beetle abundance across 24 years using generalised linear mixed models. We fitted four models: A base model, a model featuring a random year intercept, a model featuring basic weather parameters, and a model featuring both random year intercept and weather parameters. We then performed a simple sensitivity analysis to assess the robustness of the four models with respect to influential years, also testing for possible spurious baseline and snapshot effects. The model structure had a significant impact on the overall magnitude of the estimated trends. However, we found almost no difference among the models in how the removal of single years (sensitivity analysis) relatively affected trend coefficients. The two models with a random year intercept yielded significantly larger confidence intervals and their p-values were more sensitive during sensitivity analysis. Significant differences of the model with random year intercept and weather parameters to all other models suggest that the random year effects and specific weather effects are rather additive than interchangeable. We conclude that random year intercepts help to produce more reliable and cautious uncertainty measures for insect population trends. Moreover, they might help to identify influential years in sensitivity analyses more easily. We recommend random year intercepts in addition to any variables representing temporally variable environmental conditions, such as weather variables., year = 2023</enrichment>
    <enrichment key="opus.import.dataHash">md5:75d1828ef7df0029bd11503bbfd3975f</enrichment>
    <enrichment key="opus.import.date">2023-09-07T08:02:06+00:00</enrichment>
    <enrichment key="opus.import.file">/tmp/phpbKrMr6</enrichment>
    <enrichment key="opus.import.format">bibtex</enrichment>
    <enrichment key="opus.import.id">64f9837ea62208.82288384</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Fabio Weiss</author>
    <author>Henrik von Wehrden</author>
    <author>Andreas Linde</author>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>arthropod decline</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>false baseline effect</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>insect decline</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>mixed models</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>robustness</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>sensitivity analysis</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>snapshot effect</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>temporal pseudoreplication</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>time series</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>uncertainty</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>year effects</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/649/Insect_Conserv_Diversity_2023_Weiss.pdf</file>
  </doc>
  <doc>
    <id>949</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2065</pageFirst>
    <pageLast>2081</pageLast>
    <pageNumber/>
    <edition/>
    <issue>6</issue>
    <volume>19</volume>
    <type>article</type>
    <publisherName>Springer Japan</publisherName>
    <publisherPlace>Tokyo</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2024-11-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Biosphere Reserves as model regions for transdisciplinarity? A literature review</title>
    <abstract language="eng">Abstract&#13;
                The World Network of Biosphere Reserves promotes learning sites for sustainable development, designated under the UNESCO Man and the Biosphere programme (MAB). The programme aims to strengthen biodiversity conservation, economic development and capacity building. Scientific research in and about Biosphere Reserves is expected to support these objectives. In response to a strong focus on natural sciences and conservation issues, calls for transdisciplinary approaches emanated from science and the newest MAB Lima Action Plan. Yet, the extent and contributions of transdisciplinary research in Biosphere Reserves remains unexplored. This study provides a comprehensive and systematic screening of 3304 scientific publications in and about Biosphere Reserves published since 1975. Research within Biosphere Reserves spans a broad spectrum, encompassing social to political to ecological investigations, with a focus on natural sciences and studies conducted mainly in Europe and Asia. We identified an emerging field of transdisciplinary science in research, represented in 336 publications. Most transdisciplinary studies were conducted in Mexican and Indian Biosphere Reserves. While transdisciplinary research provided insights about participation, management and governance in Biosphere Reserves, its transformative potential could be enhanced, notably through stronger forms of participation of non-academic actors in research processes. Our review suggests strengthening knowledge co-creation about transformative solutions and interventions addressing deep leverage points. Scientific research could thereby enhance the role of Biosphere Reserves as model regions for sustainability transformations.</abstract>
    <parentTitle language="eng">Sustainability Science</parentTitle>
    <identifier type="issn">1862-4065</identifier>
    <identifier type="issn">1862-4057</identifier>
    <identifier type="doi">10.1007/s11625-024-01542-1</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-9497</identifier>
    <enrichment key="opus.import.date">2025-01-26T00:02:28+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>
    <enrichment key="opus.import.checksum">f7d5916200fdbda81dbd2f7087d37810</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Caroline Hélène Dabard</author>
    <author>Charlotte Gohr</author>
    <author>Fabio Weiss</author>
    <author>Henrik von Wehrden</author>
    <author>Frederike Neumann</author>
    <author>Solomiia Hordasevych</author>
    <author>Bruno Arieta</author>
    <author>Jenny Hammerich</author>
    <author>Caroline Meier</author>
    <author>Janine Jargow</author>
    <author>Vera Luthardt</author>
    <author>Pierre L. Ibisch</author>
    <author>Ana Filipa Ferreira</author>
    <subject>
      <language>eng</language>
      <type>swd</type>
      <value>-</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Systematic literature review</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Leverage points</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Protected areas</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Transformative research</value>
    </subject>
    <subject>
      <language>eng</language>
      <type>uncontrolled</type>
      <value>Participation</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/949/11625_2024_Article_1542.pdf</file>
  </doc>
  <doc>
    <id>950</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst>2083</pageFirst>
    <pageLast>2084</pageLast>
    <pageNumber/>
    <edition/>
    <issue>6</issue>
    <volume>19</volume>
    <type>article</type>
    <publisherName>Springer Japan</publisherName>
    <publisherPlace>Tokyo</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2024-11-01</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Correction: Biosphere Reserves as model regions for transdisciplinarity? A literature review</title>
    <parentTitle language="eng">Sustainability Science</parentTitle>
    <identifier type="issn">1862-4065</identifier>
    <identifier type="issn">1862-4057</identifier>
    <identifier type="doi">10.1007/s11625-024-01589-0</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-9506</identifier>
    <enrichment key="opus.import.date">2025-01-26T01:25:31+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>
    <enrichment key="opus.import.checksum">7acd91cbd1c19bdb9f0cb0c8695175cc</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Caroline Hélène Dabard</author>
    <author>Charlotte Gohr</author>
    <author>Fabio Weiss</author>
    <author>Henrik von Wehrden</author>
    <author>Frederike Neumann</author>
    <author>Solomiia Hordasevych</author>
    <author>Bruno Arieta</author>
    <author>Jenny Hammerich</author>
    <author>Caroline Meier</author>
    <author>Janine Jargow</author>
    <author>Vera Luthardt</author>
    <author>Pierre L. Ibisch</author>
    <author>Ana Filipa Ferreira</author>
    <subject>
      <language>eng</language>
      <type>swd</type>
      <value>-</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/950/11625_2024_Article_1589.pdf</file>
  </doc>
  <doc>
    <id>969</id>
    <completedYear/>
    <publishedYear/>
    <thesisYearAccepted/>
    <language>eng</language>
    <pageFirst/>
    <pageLast/>
    <pageNumber/>
    <edition/>
    <issue>1</issue>
    <volume>6</volume>
    <type>article</type>
    <publisherName>Nature Publishing Group UK</publisherName>
    <publisherPlace>London</publisherPlace>
    <creatingCorporation/>
    <contributingCorporation/>
    <belongsToBibliography>1</belongsToBibliography>
    <completedDate>--</completedDate>
    <publishedDate>2025-02-04</publishedDate>
    <thesisDateAccepted>--</thesisDateAccepted>
    <title language="eng">Effectiveness of the world network of biosphere reserves in maintaining forest ecosystem functions</title>
    <abstract language="eng">Abstract&#13;
                UNESCO biosphere reserves serve as learning areas for sustainable development, where preserving ecosystem functionality is an imperative. However, this critical assumption has yet to be thoroughly examined. To address this knowledge gap, we investigated differences in satellite-derived proxies of ecosystem functions in forests between inside and surrounding areas of biosphere reserves, globally. Our findings based on linear mixed effect models show that (i) only 18 of 119 biosphere reserves exhibited higher values for all forest ecosystem function proxies inside the reserves compared to outside, (ii) smaller reserves in fragmented forestscapes were more affected by hot day temperatures, and (iii) greater forest cover correlated with increased ecosystem functioning across all biomes. This study underscores the potential significance of biosphere reserves to biodiversity conservation efforts and the need for the integration of satellite-based, outcome-oriented proxies of ecosystem functions in assessments of protected area effectiveness.</abstract>
    <parentTitle language="eng">Communications Earth &amp; Environment</parentTitle>
    <identifier type="issn">2662-4435</identifier>
    <identifier type="doi">10.1038/s43247-025-02081-y</identifier>
    <identifier type="urn">urn:nbn:de:kobv:eb1-opus-9691</identifier>
    <enrichment key="opus.import.date">2025-02-18T03:30:31+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>
    <enrichment key="opus.import.checksum">82694b15afe2f7445c6bb778060d35f8</enrichment>
    <enrichment key="opus.doi.autoCreate">false</enrichment>
    <enrichment key="opus.urn.autoCreate">true</enrichment>
    <licence>Creative Commons - CC BY - Namensnennung 4.0 International</licence>
    <author>Charlotte Gohr</author>
    <author>Henrik von Wehrden</author>
    <author>Sassan Saatchi</author>
    <author>Nathalie Pettorelli</author>
    <author>Pierre L. Ibisch</author>
    <subject>
      <language>eng</language>
      <type>swd</type>
      <value>-</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/969/43247_2025_Article_2081.pdf</file>
  </doc>
</export-example>
