A biotope landscape model for prediction of semi-natural vegetation in Denmark
Identifieur interne : 000B58 ( Istex/Corpus ); précédent : 000B57; suivant : 000B59A biotope landscape model for prediction of semi-natural vegetation in Denmark
Auteurs : Bernd Münier ; B. Nygaard ; R. Ejrn S ; H. G BruunSource :
- Ecological Modelling [ 0304-3800 ] ; 2001.
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Abstract
The work presented is part of a research effort, addressing the development of biological concepts for assessing the quality of Danish terrestrial biotopes. The aim of the study has been to develop a spatial model describing impacts of agricultural land use on natural and semi-natural terrestrial biotopes. Approaches in other countries fall into two main categories, broad scale, nation-wide models and detailed models across minor study areas. In this paper, we present an operational model capable of working at sufficient detail to assess impacts in spatial detail while at the same time covering a broader region. Based upon a classification of plant communities found within natural and semi-natural areas in Denmark a Biotope Landscape Model was developed and implemented into a geographic information system (GIS). The work included compilation of an Ecotope Map as a basis for the prediction of spatial distribution of the vegetation at three aggregation levels — 10 main types, 31 sub types and 130 plant communities. For model implementation, a large project area was chosen covering a range of characteristic landscapes in Denmark. Testing against vegetation samples shows convincing predictions for main types (87% correct) and sub types (59%), while predictions at plant community level was found unreliable (28%). Evaluation results indicate the potentials of GIS-based ecological models as tools in landscape planning.
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DOI: 10.1016/S0304-3800(01)00244-7
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Nygaard</name><affiliation><mods:affiliation>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</mods:affiliation></affiliation></author><author><name sortKey="Ejrn S, R" sort="Ejrn S, R" uniqKey="Ejrn S R" first="R" last="Ejrn S">R. Ejrn S</name><affiliation><mods:affiliation>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</mods:affiliation></affiliation></author><author><name sortKey="Bruun, H G" sort="Bruun, H G" uniqKey="Bruun H" first="H. G" last="Bruun">H. G Bruun</name><affiliation><mods:affiliation>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</mods:affiliation></affiliation></author></analytic><monogr></monogr><series><title level="j">Ecological Modelling</title><title level="j" type="abbrev">ECOMOD</title><idno type="ISSN">0304-3800</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001">2001</date><biblScope unit="volume">139</biblScope><biblScope unit="issue">2–3</biblScope><biblScope unit="page" from="221">221</biblScope><biblScope unit="page" to="233">233</biblScope></imprint><idno type="ISSN">0304-3800</idno></series><idno type="istex">070E17AF43F4FFE0420ABB8EBD11BE5CF6FE3F0C</idno><idno type="DOI">10.1016/S0304-3800(01)00244-7</idno><idno type="PII">S0304-3800(01)00244-7</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0304-3800</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Ecological modelling</term><term>Environmental impact assessment</term><term>Geographic information system (GIS)</term><term>Landscape ecology</term><term>Spatial modelling</term><term>Vegetation</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The work presented is part of a research effort, addressing the development of biological concepts for assessing the quality of Danish terrestrial biotopes. The aim of the study has been to develop a spatial model describing impacts of agricultural land use on natural and semi-natural terrestrial biotopes. Approaches in other countries fall into two main categories, broad scale, nation-wide models and detailed models across minor study areas. In this paper, we present an operational model capable of working at sufficient detail to assess impacts in spatial detail while at the same time covering a broader region. Based upon a classification of plant communities found within natural and semi-natural areas in Denmark a Biotope Landscape Model was developed and implemented into a geographic information system (GIS). The work included compilation of an Ecotope Map as a basis for the prediction of spatial distribution of the vegetation at three aggregation levels — 10 main types, 31 sub types and 130 plant communities. For model implementation, a large project area was chosen covering a range of characteristic landscapes in Denmark. Testing against vegetation samples shows convincing predictions for main types (87% correct) and sub types (59%), while predictions at plant community level was found unreliable (28%). Evaluation results indicate the potentials of GIS-based ecological models as tools in landscape planning.</div></front></TEI><istex><corpusName>elsevier</corpusName><author><json:item><name>Bernd Münier</name><affiliations><json:string>E-mail: bem@dmu.dk</json:string><json:string>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</json:string></affiliations></json:item><json:item><name>B Nygaard</name><affiliations><json:string>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</json:string></affiliations></json:item><json:item><name>R Ejrnæs</name><affiliations><json:string>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</json:string></affiliations></json:item><json:item><name>H.G Bruun</name><affiliations><json:string>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Ecological modelling</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Geographic information system (GIS)</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Spatial modelling</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Landscape ecology</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Vegetation</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Environmental impact assessment</value></json:item></subject><language><json:string>eng</json:string></language><originalGenre><json:string>Full-length article</json:string></originalGenre><abstract>The work presented is part of a research effort, addressing the development of biological concepts for assessing the quality of Danish terrestrial biotopes. The aim of the study has been to develop a spatial model describing impacts of agricultural land use on natural and semi-natural terrestrial biotopes. Approaches in other countries fall into two main categories, broad scale, nation-wide models and detailed models across minor study areas. In this paper, we present an operational model capable of working at sufficient detail to assess impacts in spatial detail while at the same time covering a broader region. Based upon a classification of plant communities found within natural and semi-natural areas in Denmark a Biotope Landscape Model was developed and implemented into a geographic information system (GIS). The work included compilation of an Ecotope Map as a basis for the prediction of spatial distribution of the vegetation at three aggregation levels — 10 main types, 31 sub types and 130 plant communities. For model implementation, a large project area was chosen covering a range of characteristic landscapes in Denmark. Testing against vegetation samples shows convincing predictions for main types (87% correct) and sub types (59%), while predictions at plant community level was found unreliable (28%). 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The left column has been implemented using a non-spatial database, while the right column refers to the spatially referenced GIS part of the project. Arrows show links for data exchange between the two models.</note><note type="content">Fig. 3: Example drawn from classification scheme of Danish plant communities, showing main type 4 — heathland, including three sub types and 11 plant communities.</note><note type="content">Fig. 4: Example of map output from the Biotope Landscape Model, showing predicted distribution of dry grassland (PC19) and heathland (PC30) plant communities within a larger heathland area. Stars (*) indicate sample sites used for model validation.</note><note type="content">Table 1: Primary spatial data sets used for input to the map database, the main data sources and their original scale and format (vector/raster map)</note><note type="content">Table 2: Extract of Plant Community Table, showing four selected plant communities against all 51 classes in the ecotope classification (rows and columns transposed for presentation purposes). Modelled distributions for plant communities 19 and 30 are reproduced in Fig. 4</note><note type="content">Table 3: Comparison of field sampled vs. model predicted vegetation at three aggregation levels: main types, sub types and plant communitiesa</note><note type="content">Table 4: List of main types and sub types found in vegetation samples (except sub types shown in italic) together with the numbers used in text and tables</note><note type="content">Table 5: Influence of three different buffer size pairs (in meters) around sample location on prediction quality for field sampled vs. model predicted vegetation — main types and sub typesa</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">A biotope landscape model for prediction of semi-natural vegetation in Denmark</title><author xml:id="author-1"><persName><forename type="first">Bernd</forename><surname>Münier</surname></persName><email>bem@dmu.dk</email><note type="correspondence"><p>Corresponding author. Tel.: +45-46-301222; fax: +45-46-301212</p></note><affiliation>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</affiliation></author><author xml:id="author-2"><persName><forename type="first">B</forename><surname>Nygaard</surname></persName><affiliation>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</affiliation></author><author xml:id="author-3"><persName><forename type="first">R</forename><surname>Ejrnæs</surname></persName><affiliation>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</affiliation></author><author xml:id="author-4"><persName><forename type="first">H.G</forename><surname>Bruun</surname></persName><affiliation>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</affiliation></author></analytic><monogr><title level="j">Ecological Modelling</title><title level="j" type="abbrev">ECOMOD</title><idno type="pISSN">0304-3800</idno><idno type="PII">S0304-3800(00)X0115-9</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="2001"></date><biblScope unit="volume">139</biblScope><biblScope unit="issue">2–3</biblScope><biblScope unit="page" from="221">221</biblScope><biblScope unit="page" to="233">233</biblScope></imprint></monogr><idno type="istex">070E17AF43F4FFE0420ABB8EBD11BE5CF6FE3F0C</idno><idno type="DOI">10.1016/S0304-3800(01)00244-7</idno><idno type="PII">S0304-3800(01)00244-7</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2001</date></creation><langUsage><language ident="en">en</language></langUsage><abstract xml:lang="en"><p>The work presented is part of a research effort, addressing the development of biological concepts for assessing the quality of Danish terrestrial biotopes. The aim of the study has been to develop a spatial model describing impacts of agricultural land use on natural and semi-natural terrestrial biotopes. Approaches in other countries fall into two main categories, broad scale, nation-wide models and detailed models across minor study areas. In this paper, we present an operational model capable of working at sufficient detail to assess impacts in spatial detail while at the same time covering a broader region. Based upon a classification of plant communities found within natural and semi-natural areas in Denmark a Biotope Landscape Model was developed and implemented into a geographic information system (GIS). The work included compilation of an Ecotope Map as a basis for the prediction of spatial distribution of the vegetation at three aggregation levels — 10 main types, 31 sub types and 130 plant communities. For model implementation, a large project area was chosen covering a range of characteristic landscapes in Denmark. Testing against vegetation samples shows convincing predictions for main types (87% correct) and sub types (59%), while predictions at plant community level was found unreliable (28%). Evaluation results indicate the potentials of GIS-based ecological models as tools in landscape planning.</p></abstract><textClass xml:lang="en"><keywords scheme="keyword"><list><head>Keywords</head><item><term>Ecological modelling</term></item><item><term>Geographic information system (GIS)</term></item><item><term>Spatial modelling</term></item><item><term>Landscape ecology</term></item><item><term>Vegetation</term></item><item><term>Environmental impact assessment</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2000-12-21">Modified</change><change when="2001">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/070E17AF43F4FFE0420ABB8EBD11BE5CF6FE3F0C/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Elsevier, elements deleted: ce:floats; body; tail"><istex:xmlDeclaration>version="1.0" encoding="utf-8"</istex:xmlDeclaration><istex:docType PUBLIC="-//ES//DTD journal article DTD version 4.5.2//EN//XML" URI="art452.dtd" name="istex:docType"><istex:entity SYSTEM="gr1" NDATA="IMAGE" name="gr1"></istex:entity><istex:entity SYSTEM="gr2" NDATA="IMAGE" name="gr2"></istex:entity><istex:entity SYSTEM="gr3" NDATA="IMAGE" name="gr3"></istex:entity><istex:entity SYSTEM="gr4" NDATA="IMAGE" name="gr4"></istex:entity></istex:docType><istex:document><converted-article version="4.5.2" docsubtype="fla" xml:lang="en"><item-info><jid>ECOMOD</jid><aid>2775</aid><ce:pii>S0304-3800(01)00244-7</ce:pii><ce:doi>10.1016/S0304-3800(01)00244-7</ce:doi><ce:copyright type="full-transfer" year="2001">Elsevier Science B.V.</ce:copyright></item-info><head><ce:title>A biotope landscape model for prediction of semi-natural vegetation in Denmark</ce:title><ce:author-group><ce:author><ce:given-name>Bernd</ce:given-name><ce:surname>Münier</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref><ce:cross-ref refid="CORR1">*</ce:cross-ref><ce:e-address>bem@dmu.dk</ce:e-address></ce:author><ce:author><ce:given-name>B</ce:given-name><ce:surname>Nygaard</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>R</ce:given-name><ce:surname>Ejrnæs</ce:surname><ce:cross-ref refid="AFF2"><ce:sup>b</ce:sup></ce:cross-ref></ce:author><ce:author><ce:given-name>H.G</ce:given-name><ce:surname>Bruun</ce:surname><ce:cross-ref refid="AFF1"><ce:sup>a</ce:sup></ce:cross-ref></ce:author><ce:affiliation id="AFF1"><ce:label>a</ce:label><ce:textfn>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</ce:textfn></ce:affiliation><ce:affiliation id="AFF2"><ce:label>b</ce:label><ce:textfn>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</ce:textfn></ce:affiliation><ce:correspondence id="CORR1"><ce:label>*</ce:label><ce:text>Corresponding author. Tel.: +45-46-301222; fax: +45-46-301212</ce:text></ce:correspondence></ce:author-group><ce:date-revised day="21" month="12" year="2000"></ce:date-revised><ce:date-accepted day="9" month="1" year="2001"></ce:date-accepted><ce:abstract><ce:section-title>Abstract</ce:section-title><ce:abstract-sec><ce:simple-para>The work presented is part of a research effort, addressing the development of biological concepts for assessing the quality of Danish terrestrial biotopes. The aim of the study has been to develop a spatial model describing impacts of agricultural land use on natural and semi-natural terrestrial biotopes. Approaches in other countries fall into two main categories, broad scale, nation-wide models and detailed models across minor study areas. In this paper, we present an operational model capable of working at sufficient detail to assess impacts in spatial detail while at the same time covering a broader region. Based upon a classification of plant communities found within natural and semi-natural areas in Denmark a Biotope Landscape Model was developed and implemented into a geographic information system (GIS). The work included compilation of an Ecotope Map as a basis for the prediction of spatial distribution of the vegetation at three aggregation levels — 10 main types, 31 sub types and 130 plant communities. For model implementation, a large project area was chosen covering a range of characteristic landscapes in Denmark. Testing against vegetation samples shows convincing predictions for main types (87% correct) and sub types (59%), while predictions at plant community level was found unreliable (28%). Evaluation results indicate the potentials of GIS-based ecological models as tools in landscape planning.</ce:simple-para></ce:abstract-sec></ce:abstract><ce:keywords class="keyword"><ce:section-title>Keywords</ce:section-title><ce:keyword><ce:text>Ecological modelling</ce:text></ce:keyword><ce:keyword><ce:text>Geographic information system (GIS)</ce:text></ce:keyword><ce:keyword><ce:text>Spatial modelling</ce:text></ce:keyword><ce:keyword><ce:text>Landscape ecology</ce:text></ce:keyword><ce:keyword><ce:text>Vegetation</ce:text></ce:keyword><ce:keyword><ce:text>Environmental impact assessment</ce:text></ce:keyword></ce:keywords></head></converted-article></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>A biotope landscape model for prediction of semi-natural vegetation in Denmark</title></titleInfo><titleInfo type="alternative" lang="en" contentType="CDATA"><title>A biotope landscape model for prediction of semi-natural vegetation in Denmark</title></titleInfo><name type="personal"><namePart type="given">Bernd</namePart><namePart type="family">Münier</namePart><affiliation>E-mail: bem@dmu.dk</affiliation><affiliation>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</affiliation><description>Corresponding author. Tel.: +45-46-301222; fax: +45-46-301212</description><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">B</namePart><namePart type="family">Nygaard</namePart><affiliation>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">R</namePart><namePart type="family">Ejrnæs</namePart><affiliation>Department of Landscape Ecology, National Environmental Research Institute, Grenåvej 14, DK 8410 Rønde, Roskilde, Denmark</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">H.G</namePart><namePart type="family">Bruun</namePart><affiliation>Department of Policy Analysis, National Environmental Research Institute, Frederiksborgvej 399, DK 4000 Roskilde, Denmark</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="research-article" displayLabel="Full-length article"></genre><originInfo><publisher>ELSEVIER</publisher><dateIssued encoding="w3cdtf">2001</dateIssued><dateModified encoding="w3cdtf">2000-12-21</dateModified><copyrightDate encoding="w3cdtf">2001</copyrightDate></originInfo><language><languageTerm type="code" authority="iso639-2b">eng</languageTerm><languageTerm type="code" authority="rfc3066">en</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">The work presented is part of a research effort, addressing the development of biological concepts for assessing the quality of Danish terrestrial biotopes. The aim of the study has been to develop a spatial model describing impacts of agricultural land use on natural and semi-natural terrestrial biotopes. Approaches in other countries fall into two main categories, broad scale, nation-wide models and detailed models across minor study areas. In this paper, we present an operational model capable of working at sufficient detail to assess impacts in spatial detail while at the same time covering a broader region. Based upon a classification of plant communities found within natural and semi-natural areas in Denmark a Biotope Landscape Model was developed and implemented into a geographic information system (GIS). The work included compilation of an Ecotope Map as a basis for the prediction of spatial distribution of the vegetation at three aggregation levels — 10 main types, 31 sub types and 130 plant communities. For model implementation, a large project area was chosen covering a range of characteristic landscapes in Denmark. Testing against vegetation samples shows convincing predictions for main types (87% correct) and sub types (59%), while predictions at plant community level was found unreliable (28%). Evaluation results indicate the potentials of GIS-based ecological models as tools in landscape planning.</abstract><note type="content">Fig. 1: Map showing location of project area and the main landscape types covered.</note><note type="content">Fig. 2: Schematic relations between the different parts of the project ‘Landscape Models in Terrestrial Biotopes’. The left column has been implemented using a non-spatial database, while the right column refers to the spatially referenced GIS part of the project. Arrows show links for data exchange between the two models.</note><note type="content">Fig. 3: Example drawn from classification scheme of Danish plant communities, showing main type 4 — heathland, including three sub types and 11 plant communities.</note><note type="content">Fig. 4: Example of map output from the Biotope Landscape Model, showing predicted distribution of dry grassland (PC19) and heathland (PC30) plant communities within a larger heathland area. Stars (*) indicate sample sites used for model validation.</note><note type="content">Table 1: Primary spatial data sets used for input to the map database, the main data sources and their original scale and format (vector/raster map)</note><note type="content">Table 2: Extract of Plant Community Table, showing four selected plant communities against all 51 classes in the ecotope classification (rows and columns transposed for presentation purposes). Modelled distributions for plant communities 19 and 30 are reproduced in Fig. 4</note><note type="content">Table 3: Comparison of field sampled vs. model predicted vegetation at three aggregation levels: main types, sub types and plant communitiesa</note><note type="content">Table 4: List of main types and sub types found in vegetation samples (except sub types shown in italic) together with the numbers used in text and tables</note><note type="content">Table 5: Influence of three different buffer size pairs (in meters) around sample location on prediction quality for field sampled vs. model predicted vegetation — main types and sub typesa</note><subject lang="en"><genre>Keywords</genre><topic>Ecological modelling</topic><topic>Geographic information system (GIS)</topic><topic>Spatial modelling</topic><topic>Landscape ecology</topic><topic>Vegetation</topic><topic>Environmental impact assessment</topic></subject><relatedItem type="host"><titleInfo><title>Ecological Modelling</title></titleInfo><titleInfo type="abbreviated"><title>ECOMOD</title></titleInfo><genre type="journal">journal</genre><originInfo><dateIssued encoding="w3cdtf">20010430</dateIssued></originInfo><identifier type="ISSN">0304-3800</identifier><identifier type="PII">S0304-3800(00)X0115-9</identifier><part><date>20010430</date><detail type="volume"><number>139</number><caption>vol.</caption></detail><detail type="issue"><number>2–3</number><caption>no.</caption></detail><extent unit="issue pages"><start>101</start><end>314</end></extent><extent unit="pages"><start>221</start><end>233</end></extent></part></relatedItem><identifier type="istex">070E17AF43F4FFE0420ABB8EBD11BE5CF6FE3F0C</identifier><identifier type="DOI">10.1016/S0304-3800(01)00244-7</identifier><identifier type="PII">S0304-3800(01)00244-7</identifier><accessCondition type="use and reproduction" contentType="copyright">©2001 Elsevier Science B.V.</accessCondition><recordInfo><recordContentSource>ELSEVIER</recordContentSource><recordOrigin>Elsevier Science B.V., ©2001</recordOrigin></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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