Uncertainties of forest area estimates caused by the minimum crown cover criterion
Identifieur interne : 000122 ( Ncbi/Merge ); précédent : 000121; suivant : 000123Uncertainties of forest area estimates caused by the minimum crown cover criterion
Auteurs : Paul Magdon [Allemagne] ; Christoph Kleinn [Allemagne]Source :
- Environmental Monitoring and Assessment [ 0167-6369 ] ; 2012.
Abstract
Defining “forest land” is a complex issue and has been discussed for decades. Today, a confusing multitude of definitions of forest land are in use making comparison of forest area figures difficult. But currently, comparability is receiving much attention when it comes to install market mechanisms for ecosystem services. Minimum crown cover is among the most frequently employed criteria of forest definitions. However, the size of the reference area on which the crown cover percent is to be measured is usually not defined. But how does a change of the size of the reference area affect the derived forest cover? In this study, we analyze the interactions of the crown cover threshold and the size of the reference area. We start with analyzing the interactions using a simple geometric model of the forest edge. Then, we extend the analysis by simulating artificial landscapes where we study how the interaction is affected by different degrees of forest fragmentation, crown cover proportion, and spatial resolution of the data source used. The simulation showed that large differences in forest cover (>50 %) may result for a fixed crown cover threshold value, just by changing the size of the reference area, where the magnitude of this effect is a function of the chosen threshold value and the spatial configuration of the crowns. As a consequence of the findings, we see an urgent need to complete forest definitions by defining a reference area in order to reduce uncertainties of forest cover estimates.
Url:
DOI: 10.1007/s10661-012-2950-0
PubMed: 23142874
PubMed Central: 3641301
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PMC:3641301Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>Defining “forest land” is a complex issue and has been discussed for decades. Today, a confusing multitude of definitions of forest land are in use making comparison of forest area figures difficult. But currently, comparability is receiving much attention when it comes to install market mechanisms for ecosystem services. Minimum crown cover is among the most frequently employed criteria of forest definitions. However, the size of the reference area on which the crown cover percent is to be measured is usually not defined. But how does a change of the size of the reference area affect the derived forest cover? In this study, we analyze the interactions of the crown cover threshold and the size of the reference area. We start with analyzing the interactions using a simple geometric model of the forest edge. Then, we extend the analysis by simulating artificial landscapes where we study how the interaction is affected by different degrees of forest fragmentation, crown cover proportion, and spatial resolution of the data source used. The simulation showed that large differences in forest cover (>50 %) may result for a fixed crown cover threshold value, just by changing the size of the reference area, where the magnitude of this effect is a function of the chosen threshold value and the spatial configuration of the crowns. As a consequence of the findings, we see an urgent need to complete forest definitions by defining a reference area in order to reduce uncertainties of forest cover estimates.</p>
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<author><name sortKey="Trabucco, A" uniqKey="Trabucco A">A Trabucco</name>
</author>
<author><name sortKey="Verchot, L" uniqKey="Verchot L">L Verchot</name>
</author>
<author><name sortKey="Muys, B" uniqKey="Muys B">B Muys</name>
</author>
</analytic>
</biblStruct>
</listBibl>
</div1>
</back>
</TEI>
<pmc article-type="research-article"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Environ Monit Assess</journal-id>
<journal-id journal-id-type="iso-abbrev">Environ Monit Assess</journal-id>
<journal-title-group><journal-title>Environmental Monitoring and Assessment</journal-title>
</journal-title-group>
<issn pub-type="ppub">0167-6369</issn>
<issn pub-type="epub">1573-2959</issn>
<publisher><publisher-name>Springer Netherlands</publisher-name>
<publisher-loc>Dordrecht</publisher-loc>
</publisher>
</journal-meta>
<article-meta><article-id pub-id-type="pmid">23142874</article-id>
<article-id pub-id-type="pmc">3641301</article-id>
<article-id pub-id-type="publisher-id">2950</article-id>
<article-id pub-id-type="doi">10.1007/s10661-012-2950-0</article-id>
<article-categories><subj-group subj-group-type="heading"><subject>Article</subject>
</subj-group>
</article-categories>
<title-group><article-title>Uncertainties of forest area estimates caused by the minimum crown cover criterion</article-title>
<subtitle>—a scale issue relevant to forest cover monitoring</subtitle>
</title-group>
<contrib-group><contrib contrib-type="author" corresp="yes"><name><surname>Magdon</surname>
<given-names>Paul</given-names>
</name>
<address><email>pmagdon@gwdg.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<contrib contrib-type="author"><name><surname>Kleinn</surname>
<given-names>Christoph</given-names>
</name>
<address><email>ckleinn@gwdg.de</email>
</address>
<xref ref-type="aff" rid="Aff1"></xref>
</contrib>
<aff id="Aff1">Chair of Forest Inventory and Remote Sensing, Burckhardt-Institute, Georg-August-Universität Göttingen, Büsgenweg 5, Göttingen, 37077 Germany</aff>
</contrib-group>
<pub-date pub-type="epub"><day>11</day>
<month>11</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="pmc-release"><day>11</day>
<month>11</month>
<year>2012</year>
</pub-date>
<pub-date pub-type="ppub"><month>6</month>
<year>2013</year>
</pub-date>
<volume>185</volume>
<issue>6</issue>
<fpage>5345</fpage>
<lpage>5360</lpage>
<history><date date-type="received"><day>18</day>
<month>4</month>
<year>2012</year>
</date>
<date date-type="accepted"><day>8</day>
<month>10</month>
<year>2012</year>
</date>
</history>
<permissions><copyright-statement>© The Author(s) 2012</copyright-statement>
</permissions>
<abstract id="Abs1"><p>Defining “forest land” is a complex issue and has been discussed for decades. Today, a confusing multitude of definitions of forest land are in use making comparison of forest area figures difficult. But currently, comparability is receiving much attention when it comes to install market mechanisms for ecosystem services. Minimum crown cover is among the most frequently employed criteria of forest definitions. However, the size of the reference area on which the crown cover percent is to be measured is usually not defined. But how does a change of the size of the reference area affect the derived forest cover? In this study, we analyze the interactions of the crown cover threshold and the size of the reference area. We start with analyzing the interactions using a simple geometric model of the forest edge. Then, we extend the analysis by simulating artificial landscapes where we study how the interaction is affected by different degrees of forest fragmentation, crown cover proportion, and spatial resolution of the data source used. The simulation showed that large differences in forest cover (>50 %) may result for a fixed crown cover threshold value, just by changing the size of the reference area, where the magnitude of this effect is a function of the chosen threshold value and the spatial configuration of the crowns. As a consequence of the findings, we see an urgent need to complete forest definitions by defining a reference area in order to reduce uncertainties of forest cover estimates.</p>
</abstract>
<kwd-group xml:lang="en"><title>Keywords</title>
<kwd>Forest definition</kwd>
<kwd>REDD</kwd>
<kwd>Deforestation</kwd>
<kwd>MRV</kwd>
<kwd>Harmonization</kwd>
<kwd>Forest edge</kwd>
</kwd-group>
<custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name>
<meta-value>© Springer Science+Business Media Dordrecht 2013</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
</pmc>
<affiliations><list><country><li>Allemagne</li>
</country>
<region><li>Basse-Saxe</li>
</region>
<settlement><li>Göttingen</li>
</settlement>
<orgName><li>Université de Göttingen</li>
</orgName>
</list>
<tree><country name="Allemagne"><region name="Basse-Saxe"><name sortKey="Magdon, Paul" sort="Magdon, Paul" uniqKey="Magdon P" first="Paul" last="Magdon">Paul Magdon</name>
</region>
<name sortKey="Kleinn, Christoph" sort="Kleinn, Christoph" uniqKey="Kleinn C" first="Christoph" last="Kleinn">Christoph Kleinn</name>
</country>
</tree>
</affiliations>
</record>
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