Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling
Identifieur interne : 001365 ( Istex/Corpus ); précédent : 001364; suivant : 001366Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling
Auteurs : Jan Plue ; Martin HermySource :
- Journal of Vegetation Science [ 1100-9233 ] ; 2012-06.
Abstract
Seed bank sampling remains a critical bottleneck to the quality of studies investigating community patterns in the seed bank. The main cause is a large knowledge gap in two aspects critical to sampling, i.e. spatial autocorrelation and species–area relations. The central question of this study is how the seed bank of a single plot should be sampled, in order to obtain more precise estimates on plot seed bank characteristics, without resorting to a disproportionate investment of available resources. Similar seed bank samples may then enable better plot‐based statistical inference of ecological patterns in the seed bank in community ecology studies.
Url:
DOI: 10.1111/j.1654-1103.2011.01361.x
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ISTEX:C2CA19F8AE9747C1970B819A853C67B50AED92C7Le document en format XML
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The main cause is a large knowledge gap in two aspects critical to sampling, i.e. spatial autocorrelation and species–area relations. The central question of this study is how the seed bank of a single plot should be sampled, in order to obtain more precise estimates on plot seed bank characteristics, without resorting to a disproportionate investment of available resources. Similar seed bank samples may then enable better plot‐based statistical inference of ecological patterns in the seed bank in community ecology studies.</div></front></TEI><istex><corpusName>wiley</corpusName><editor><json:item><name>Beverly Collins</name></json:item></editor><author><json:item><name>Jan Plue</name><affiliations><json:string>Division for Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Celestijnenlaan 200E, B‐3001, Belgium</json:string><json:string>Current Address: Department of Physical Geography and Quaternary Geology, Stockholm University, Svante Arrheniusväg 8, Stockholm, SE‐106 91</json:string><json:string>Division for Forest, Nature and Landscape Research===, Katholieke Universiteit Leuven===, Celestijnenlaan 200E===, B‐3001=== Belgium======</json:string></affiliations></json:item><json:item><name>Martin Hermy</name><affiliations><json:string>Division for Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Celestijnenlaan 200E, B‐3001, Belgium</json:string><json:string>E-mail: martin.hermy@ees.kuleuven.be</json:string></affiliations></json:item></author><subject><json:item><lang><json:string>eng</json:string></lang><value>Community Ecology</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Deciduous forest</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Geostatistics</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Grassland</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Heathland</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Rarefaction curves</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Sampling mode</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Seed clusters</value></json:item><json:item><lang><json:string>eng</json:string></lang><value>Tailored sampling</value></json:item></subject><articleId><json:string>JVS1361</json:string></articleId><language><json:string>eng</json:string></language><originalGenre><json:string>article</json:string></originalGenre><qualityIndicators><score>6.2</score><pdfVersion>1.3</pdfVersion><pdfPageSize>595.276 x 782.362 pts</pdfPageSize><refBibsNative>true</refBibsNative><abstractCharCount>655</abstractCharCount><pdfWordCount>6569</pdfWordCount><pdfCharCount>44644</pdfCharCount><pdfPageCount>12</pdfPageCount><abstractWordCount>100</abstractWordCount></qualityIndicators><title>Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling</title><refBibs><json:item><author><json:item><name>K.L. 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John Wiley and Sons, Chichester, UK.</title></host></json:item></refBibs><genre><json:string>article</json:string></genre><host><volume>23</volume><publisherId><json:string>JVS</json:string></publisherId><pages><total>12</total><last>516</last><first>505</first></pages><issn><json:string>1100-9233</json:string></issn><issue>3</issue><subject><json:item><value>Original Article</value></json:item></subject><genre><json:string>journal</json:string></genre><language><json:string>unknown</json:string></language><eissn><json:string>1654-1103</json:string></eissn><title>Journal of Vegetation Science</title><doi><json:string>10.1111/(ISSN)1654-1103</json:string></doi></host><categories><wos><json:string>science</json:string><json:string>plant sciences</json:string><json:string>forestry</json:string><json:string>ecology</json:string></wos><scienceMetrix><json:string>natural sciences</json:string><json:string>biology</json:string><json:string>ecology</json:string></scienceMetrix></categories><publicationDate>2012</publicationDate><copyrightDate>2012</copyrightDate><doi><json:string>10.1111/j.1654-1103.2011.01361.x</json:string></doi><id>C2CA19F8AE9747C1970B819A853C67B50AED92C7</id><score>1</score><fulltext><json:item><extension>pdf</extension><original>true</original><mimetype>application/pdf</mimetype><uri>https://api.istex.fr/document/C2CA19F8AE9747C1970B819A853C67B50AED92C7/fulltext/pdf</uri></json:item><json:item><extension>zip</extension><original>false</original><mimetype>application/zip</mimetype><uri>https://api.istex.fr/document/C2CA19F8AE9747C1970B819A853C67B50AED92C7/fulltext/zip</uri></json:item><istex:fulltextTEI uri="https://api.istex.fr/document/C2CA19F8AE9747C1970B819A853C67B50AED92C7/fulltext/tei"><teiHeader><fileDesc><titleStmt><title level="a" type="main" xml:lang="en">Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling</title></titleStmt><publicationStmt><authority>ISTEX</authority><publisher>Blackwell Publishing Ltd</publisher><availability><p>Copyright © 2012 International Association for Vegetation Science© 2011 International Association for Vegetation Science</p></availability><date>2011-10-24</date></publicationStmt><notesStmt><note>Appendix S1. Contour maps visualizing the spatial distribution of different seed bank species. Contour maps were constructed via (indicator‐)kriging based on the parameters of the modelled (indicator‐)variograms. Contours based on the indicatorvariograms indicate the chance to find a seed within the surface they delineate; contours based on the variograms indicate the amount of seeds which should be encountered when sampled within the surface the contours delineate.Appendix S2. Extrapolated sample‐based species rarefaction curves with 95% confidence intervals at 128, 256 and 384 core samples. The point at which the arbitrarily set asymptote is reached (i.e. <2.5% increase in species richness over 20 core samples) is indicated by the black arrow. If the black arrow is not present, the asymptote was not reached.</note></notesStmt><sourceDesc><biblStruct type="inbook"><analytic><title level="a" type="main" xml:lang="en">Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling</title><author xml:id="author-1"><persName><forename type="first">Jan</forename><surname>Plue</surname></persName><affiliation>Division for Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Celestijnenlaan 200E, B‐3001, Belgium</affiliation><affiliation>Current Address: Department of Physical Geography and Quaternary Geology, Stockholm University, Svante Arrheniusväg 8, Stockholm, SE‐106 91</affiliation><affiliation>Division for Forest, Nature and Landscape Research===, Katholieke Universiteit Leuven===, Celestijnenlaan 200E===, B‐3001=== Belgium======</affiliation></author><author xml:id="author-2"><persName><forename type="first">Martin</forename><surname>Hermy</surname></persName><email>martin.hermy@ees.kuleuven.be</email><affiliation>Division for Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Celestijnenlaan 200E, B‐3001, Belgium</affiliation></author><editor><persName><forename type="first">Beverly</forename><surname>Collins</surname></persName></editor></analytic><monogr><title level="j">Journal of Vegetation Science</title><title level="j" type="abbrev">J Veg Sci</title><idno type="pISSN">1100-9233</idno><idno type="eISSN">1654-1103</idno><idno type="DOI">10.1111/(ISSN)1654-1103</idno><imprint><publisher>Blackwell Publishing Ltd</publisher><date type="published" when="2012-06"></date><biblScope unit="volume">23</biblScope><biblScope unit="issue">3</biblScope><biblScope unit="page" from="505">505</biblScope><biblScope unit="page" to="516">516</biblScope></imprint></monogr><idno type="istex">C2CA19F8AE9747C1970B819A853C67B50AED92C7</idno><idno type="DOI">10.1111/j.1654-1103.2011.01361.x</idno><idno type="ArticleID">JVS1361</idno></biblStruct></sourceDesc></fileDesc><profileDesc><creation><date>2011-10-24</date></creation><langUsage><language ident="en">en</language></langUsage><abstract><p>Seed bank sampling remains a critical bottleneck to the quality of studies investigating community patterns in the seed bank. The main cause is a large knowledge gap in two aspects critical to sampling, i.e. spatial autocorrelation and species–area relations. The central question of this study is how the seed bank of a single plot should be sampled, in order to obtain more precise estimates on plot seed bank characteristics, without resorting to a disproportionate investment of available resources. Similar seed bank samples may then enable better plot‐based statistical inference of ecological patterns in the seed bank in community ecology studies.</p></abstract><abstract><p>Semi‐natural habitats in Flanders (Belgium) and northern France.</p></abstract><abstract><p>We investigated the fine‐scale spatial structure of individual seed banking species across 12 2.1 m × 2.1 m plots in three widespread habitats: temperate forest, grassland and heathland. Soil core samples (128) were collected in each plot, using a combined systematic (64) and random design (64). This enabled both geostatistical analyses of the fine‐scale spatial structure of individual species–plot combinations as well as the calculation of sampled‐based species rarefaction curves.</p></abstract><abstract><p>Fine‐scale (i.e. within plot) spatial seed bank structure was detected in all plots in each habitat, in at least one or usually more plant species. Over half of the species records displayed significant spatial structure – visible as a random distribution of seed clusters – with medium to strong spatial dependence between point observations of a species of ca. 30 cm. Species rarefaction curves did not attain an asymptote at the actual sampling intensity of 128 samples. Seven out of 12 extrapolated species rarefaction curves did reach an asymptote in less than 384 samples.</p></abstract><abstract><p>Using these consistent results in spatial structure and species–area relations across habitats, we present a method of how researchers can develop a tailor‐made seed bank design to accommodate their individual needs, abiding by simple predefined boundaries. When the tailored design samples ca. 3% of a plot surface area along a systematic grid with a mesh width of at least 30 cm, these studies will potentially significantly increase the comparability among future seed bank community studies in semi‐natural habitats.</p></abstract><abstract style="graphical"><p>Fine‐scale spatial seed bank structure was detected in all plots of three semi‐natural habitats, with spatial dependence between observations of 30cm. Adding knowledge on species‐area relations within these plots, we developed a new seed bank sampling design, tailored to the specific needs individual researchers may have. This design may significantly increase the comparability among future seed bank community studies.</p></abstract><textClass><keywords scheme="keyword"><list><head>keywords</head><item><term>Community Ecology</term></item><item><term>Deciduous forest</term></item><item><term>Geostatistics</term></item><item><term>Grassland</term></item><item><term>Heathland</term></item><item><term>Rarefaction curves</term></item><item><term>Sampling mode</term></item><item><term>Seed clusters</term></item><item><term>Tailored sampling</term></item></list></keywords></textClass><textClass><keywords scheme="Journal Subject"><list><head>article-category</head><item><term>Original Article</term></item></list></keywords></textClass></profileDesc><revisionDesc><change when="2011-04-14">Received</change><change when="2011-10-10">Registration</change><change when="2011-10-24">Created</change><change when="2012-06">Published</change></revisionDesc></teiHeader></istex:fulltextTEI><json:item><extension>txt</extension><original>false</original><mimetype>text/plain</mimetype><uri>https://api.istex.fr/document/C2CA19F8AE9747C1970B819A853C67B50AED92C7/fulltext/txt</uri></json:item></fulltext><metadata><istex:metadataXml wicri:clean="Wiley, elements deleted: body"><istex:xmlDeclaration>version="1.0" encoding="UTF-8" standalone="yes"</istex:xmlDeclaration><istex:document><component type="serialArticle" version="2.0" xml:id="jvs1361" xml:lang="en"><header><publicationMeta level="product"><doi origin="wiley" registered="yes">10.1111/(ISSN)1654-1103</doi><issn type="print">1100-9233</issn><issn type="electronic">1654-1103</issn><idGroup><id type="product" value="JVS"></id></idGroup><titleGroup><title sort="JOURNAL OF VEGETATION SCIENCE" type="main">Journal of Vegetation Science</title><title type="short">J Veg Sci</title></titleGroup></publicationMeta><publicationMeta level="part" position="30"><doi origin="wiley">10.1111/jvs.2012.23.issue-3</doi><copyright ownership="thirdParty">Copyright © 2012 International Association for Vegetation Science</copyright><numberingGroup><numbering type="journalVolume" number="23">23</numbering><numbering type="journalIssue">3</numbering></numberingGroup><coverDate startDate="2012-06">June 2012</coverDate></publicationMeta><publicationMeta level="unit" position="100" status="forIssue" type="article"><doi>10.1111/j.1654-1103.2011.01361.x</doi><idGroup><id type="unit" value="JVS1361"></id></idGroup><countGroup><count number="12" type="pageTotal"></count></countGroup><titleGroup><title type="articleCategory">Original Article</title><title type="tocHeading1">Original Articles</title></titleGroup><copyright ownership="thirdParty">© 2011 International Association for Vegetation Science</copyright><eventGroup><event date="2011-04-14" type="manuscriptReceived"></event><event date="2011-10-10" type="manuscriptAccepted"></event><event agent="SPS" date="2011-10-24" type="xmlCreated"></event><event agent="SPS" date="2011-11-18" type="xmlCorrected"></event><event type="publishedOnlineEarlyUnpaginated" date="2011-11-10"></event><event type="publishedOnlineFinalForm" date="2012-04-20"></event><event type="firstOnline" date="2011-11-10"></event><event type="xmlConverted" agent="Converter:WILEY_ML3G_TO_WILEY_ML3GV2 version:4.0.1" date="2014-03-20"></event><event type="xmlConverted" agent="Converter:WML3G_To_WML3G version:4.3.4 mode:FullText" date="2015-02-25"></event></eventGroup><numberingGroup><numbering type="pageFirst">505</numbering><numbering type="pageLast">516</numbering></numberingGroup><correspondenceTo>Division for Forest, Nature and Landscape Research===, Katholieke Universiteit Leuven===, Celestijnenlaan 200E===, B‐3001=== Belgium======</correspondenceTo><linkGroup><link type="toTypesetVersion" href="file:JVS.JVS1361.pdf"></link></linkGroup></publicationMeta><contentMeta><titleGroup><title type="main">Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling</title><title type="shortAuthors">J. Plue & M. Hermy</title></titleGroup><creators><creator affiliationRef="#jvs1361-aff-0001" currentRef="#jvs1361-curr-0001" corresponding="yes" creatorRole="author" xml:id="jvs1361-cr-0001"><personName><givenNames>Jan</givenNames> <familyName>Plue</familyName></personName><contactDetails><email>jan.plue@natgeo.su.se</email></contactDetails></creator><creator affiliationRef="#jvs1361-aff-0002" creatorRole="author" xml:id="jvs1361-cr-0002"><personName><givenNames>Martin</givenNames> <familyName>Hermy</familyName></personName><contactDetails><email>martin.hermy@ees.kuleuven.be</email></contactDetails></creator><creator creatorRole="editor" xml:id="jvs1361-cr-0003"><personName><givenNames>Beverly</givenNames> <familyName>Collins</familyName></personName></creator></creators><affiliationGroup><affiliation countryCode="BE" type="organization" xml:id="jvs1361-aff-0001"><orgDiv>Division for Forest, Nature and Landscape Research</orgDiv> <orgName>Katholieke Universiteit Leuven</orgName> <address><street>Celestijnenlaan 200E</street> <postCode>B‐3001</postCode> <country>Belgium</country></address></affiliation><affiliation type="organization" xml:id="jvs1361-curr-0001"><orgDiv>Department of Physical Geography and Quaternary Geology</orgDiv> <orgName>Stockholm University</orgName> <address><street>Svante Arrheniusväg 8</street> <postCode>SE‐106 91</postCode> <countryPart>Stockholm</countryPart></address></affiliation><affiliation countryCode="BE" type="organization" xml:id="jvs1361-aff-0002"><orgDiv>Division for Forest, Nature and Landscape Research</orgDiv> <orgName>Katholieke Universiteit Leuven</orgName> <address><street>Celestijnenlaan 200E</street> <postCode>B‐3001</postCode> <country>Belgium</country></address></affiliation></affiliationGroup><keywordGroup type="author"><keyword xml:id="jvs1361-kwd-0001">Community Ecology</keyword><keyword xml:id="jvs1361-kwd-0002">Deciduous forest</keyword><keyword xml:id="jvs1361-kwd-0003">Geostatistics</keyword><keyword xml:id="jvs1361-kwd-0004">Grassland</keyword><keyword xml:id="jvs1361-kwd-0005">Heathland</keyword><keyword xml:id="jvs1361-kwd-0006">Rarefaction curves</keyword><keyword xml:id="jvs1361-kwd-0007">Sampling mode</keyword><keyword xml:id="jvs1361-kwd-0008">Seed clusters</keyword><keyword xml:id="jvs1361-kwd-0009">Tailored sampling</keyword></keywordGroup><supportingInformation><supportingInfoItem><mediaResource alt="supporting" mimeType="application/msword" href="urn-x:wiley:11009233:media:jvs1361:jvs1361-sup-0001-AppendixS1"></mediaResource><caption><b>Appendix S1.</b> Contour maps visualizing the spatial distribution of different seed bank species. Contour maps were constructed via (indicator‐)kriging based on the parameters of the modelled (indicator‐)variograms. Contours based on the indicatorvariograms indicate the chance to find a seed within the surface they delineate; contours based on the variograms indicate the amount of seeds which should be encountered when sampled within the surface the contours delineate.</caption></supportingInfoItem><supportingInfoItem><mediaResource alt="supporting" mimeType="application/msword" href="urn-x:wiley:11009233:media:jvs1361:jvs1361-sup-0002-AppendixS2"></mediaResource><caption><b>Appendix S2.</b> Extrapolated sample‐based species rarefaction curves with 95% confidence intervals at 128, 256 and 384 core samples. The point at which the arbitrarily set asymptote is reached (i.e. <2.5% increase in species richness over 20 core samples) is indicated by the black arrow. If the black arrow is not present, the asymptote was not reached.</caption></supportingInfoItem></supportingInformation><abstractGroup><abstract type="main" xml:id="jvs1361-abs-0001"><title type="main">Abstract</title><section xml:id="jvs1361-sec-0001"><title type="main">Question</title><p>Seed bank sampling remains a critical bottleneck to the quality of studies investigating community patterns in the seed bank. The main cause is a large knowledge gap in two aspects critical to sampling, i.e. spatial autocorrelation and species–area relations. The central question of this study is how the seed bank of a single plot should be sampled, in order to obtain more precise estimates on plot seed bank characteristics, without resorting to a disproportionate investment of available resources. Similar seed bank samples may then enable better plot‐based statistical inference of ecological patterns in the seed bank in community ecology studies.</p></section><section xml:id="jvs1361-sec-0002"><title type="main">Location</title><p>Semi‐natural habitats in Flanders (<fc>B</fc>elgium) and northern <fc>F</fc>rance.</p></section><section xml:id="jvs1361-sec-0003"><title type="main">Methods</title><p>We investigated the fine‐scale spatial structure of individual seed banking species across 12 2.1 m × 2.1 m plots in three widespread habitats: temperate forest, grassland and heathland. Soil core samples (128) were collected in each plot, using a combined systematic (64) and random design (64). This enabled both geostatistical analyses of the fine‐scale spatial structure of individual species–plot combinations as well as the calculation of sampled‐based species rarefaction curves.</p></section><section xml:id="jvs1361-sec-0004"><title type="main">Results</title><p>Fine‐scale (i.e. within plot) spatial seed bank structure was detected in all plots in each habitat, in at least one or usually more plant species. Over half of the species records displayed significant spatial structure – visible as a random distribution of seed clusters – with medium to strong spatial dependence between point observations of a species of ca. 30 cm. Species rarefaction curves did not attain an asymptote at the actual sampling intensity of 128 samples. Seven out of 12 extrapolated species rarefaction curves did reach an asymptote in less than 384 samples.</p></section><section xml:id="jvs1361-sec-0005"><title type="main">Conclusions</title><p>Using these consistent results in spatial structure and species–area relations across habitats, we present a method of how researchers can develop a tailor‐made seed bank design to accommodate their individual needs, abiding by simple predefined boundaries. When the tailored design samples ca. 3% of a plot surface area along a systematic grid with a mesh width of at least 30 cm, these studies will potentially significantly increase the comparability among future seed bank community studies in semi‐natural habitats.</p></section></abstract><abstract type="graphical" xml:id="JVS1361-abs-0002"><p>Fine‐scale spatial seed bank structure was detected in all plots of three semi‐natural habitats, with spatial dependence between observations of 30cm. Adding knowledge on species‐area relations within these plots, we developed a new seed bank sampling design, tailored to the specific needs individual researchers may have. This design may significantly increase the comparability among future seed bank community studies.<blockFixed type="graphic" xml:id="jvs1361-blkfxd-0001"><mediaResourceGroup><mediaResource alt="image" href="urn:x-wiley:11009233:media:jvs1361:jvs1361-toc-0001"></mediaResource></mediaResourceGroup></blockFixed></p></abstract></abstractGroup></contentMeta></header></component></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Consistent seed bank spatial structure across semi‐natural habitats determines plot sampling</title></titleInfo><name type="personal"><namePart type="given">Jan</namePart><namePart type="family">Plue</namePart><affiliation>Division for Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Celestijnenlaan 200E, B‐3001, Belgium</affiliation><affiliation>Current Address: Department of Physical Geography and Quaternary Geology, Stockholm University, Svante Arrheniusväg 8, Stockholm, SE‐106 91</affiliation><affiliation>Division for Forest, Nature and Landscape Research===, Katholieke Universiteit Leuven===, Celestijnenlaan 200E===, B‐3001=== Belgium======</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Martin</namePart><namePart type="family">Hermy</namePart><affiliation>Division for Forest, Nature and Landscape Research, Katholieke Universiteit Leuven, Celestijnenlaan 200E, B‐3001, Belgium</affiliation><affiliation>E-mail: martin.hermy@ees.kuleuven.be</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Beverly</namePart><namePart type="family">Collins</namePart><role><roleTerm type="text">editor</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="article" displayLabel="article"></genre><originInfo><publisher>Blackwell Publishing Ltd</publisher><dateIssued encoding="w3cdtf">2012-06</dateIssued><dateCreated encoding="w3cdtf">2011-10-24</dateCreated><dateCaptured encoding="w3cdtf">2011-04-14</dateCaptured><dateValid encoding="w3cdtf">2011-10-10</dateValid><copyrightDate encoding="w3cdtf">2012</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract>Seed bank sampling remains a critical bottleneck to the quality of studies investigating community patterns in the seed bank. The main cause is a large knowledge gap in two aspects critical to sampling, i.e. spatial autocorrelation and species–area relations. The central question of this study is how the seed bank of a single plot should be sampled, in order to obtain more precise estimates on plot seed bank characteristics, without resorting to a disproportionate investment of available resources. Similar seed bank samples may then enable better plot‐based statistical inference of ecological patterns in the seed bank in community ecology studies.</abstract><abstract>Semi‐natural habitats in Flanders (Belgium) and northern France.</abstract><abstract>We investigated the fine‐scale spatial structure of individual seed banking species across 12 2.1 m × 2.1 m plots in three widespread habitats: temperate forest, grassland and heathland. Soil core samples (128) were collected in each plot, using a combined systematic (64) and random design (64). This enabled both geostatistical analyses of the fine‐scale spatial structure of individual species–plot combinations as well as the calculation of sampled‐based species rarefaction curves.</abstract><abstract>Fine‐scale (i.e. within plot) spatial seed bank structure was detected in all plots in each habitat, in at least one or usually more plant species. Over half of the species records displayed significant spatial structure – visible as a random distribution of seed clusters – with medium to strong spatial dependence between point observations of a species of ca. 30 cm. Species rarefaction curves did not attain an asymptote at the actual sampling intensity of 128 samples. Seven out of 12 extrapolated species rarefaction curves did reach an asymptote in less than 384 samples.</abstract><abstract>Using these consistent results in spatial structure and species–area relations across habitats, we present a method of how researchers can develop a tailor‐made seed bank design to accommodate their individual needs, abiding by simple predefined boundaries. When the tailored design samples ca. 3% of a plot surface area along a systematic grid with a mesh width of at least 30 cm, these studies will potentially significantly increase the comparability among future seed bank community studies in semi‐natural habitats.</abstract><abstract type="graphical">Fine‐scale spatial seed bank structure was detected in all plots of three semi‐natural habitats, with spatial dependence between observations of 30cm. Adding knowledge on species‐area relations within these plots, we developed a new seed bank sampling design, tailored to the specific needs individual researchers may have. This design may significantly increase the comparability among future seed bank community studies.</abstract><note type="additional physical form">Appendix S1. Contour maps visualizing the spatial distribution of different seed bank species. Contour maps were constructed via (indicator‐)kriging based on the parameters of the modelled (indicator‐)variograms. Contours based on the indicatorvariograms indicate the chance to find a seed within the surface they delineate; contours based on the variograms indicate the amount of seeds which should be encountered when sampled within the surface the contours delineate.Appendix S2. Extrapolated sample‐based species rarefaction curves with 95% confidence intervals at 128, 256 and 384 core samples. The point at which the arbitrarily set asymptote is reached (i.e. <2.5% increase in species richness over 20 core samples) is indicated by the black arrow. If the black arrow is not present, the asymptote was not reached.</note><subject><genre>keywords</genre><topic>Community Ecology</topic><topic>Deciduous forest</topic><topic>Geostatistics</topic><topic>Grassland</topic><topic>Heathland</topic><topic>Rarefaction curves</topic><topic>Sampling mode</topic><topic>Seed clusters</topic><topic>Tailored sampling</topic></subject><relatedItem type="host"><titleInfo><title>Journal of Vegetation Science</title></titleInfo><titleInfo type="abbreviated"><title>J Veg Sci</title></titleInfo><genre type="journal">journal</genre><subject><genre>article-category</genre><topic>Original Article</topic></subject><identifier type="ISSN">1100-9233</identifier><identifier type="eISSN">1654-1103</identifier><identifier type="DOI">10.1111/(ISSN)1654-1103</identifier><identifier type="PublisherID">JVS</identifier><part><date>2012</date><detail type="volume"><caption>vol.</caption><number>23</number></detail><detail type="issue"><caption>no.</caption><number>3</number></detail><extent unit="pages"><start>505</start><end>516</end><total>12</total></extent></part></relatedItem><identifier type="istex">C2CA19F8AE9747C1970B819A853C67B50AED92C7</identifier><identifier type="DOI">10.1111/j.1654-1103.2011.01361.x</identifier><identifier type="ArticleID">JVS1361</identifier><accessCondition type="use and reproduction" contentType="copyright">Copyright © 2012 International Association for Vegetation Science© 2011 International Association for Vegetation Science</accessCondition><recordInfo><recordContentSource>WILEY</recordContentSource></recordInfo></mods></metadata><serie></serie></istex></record>Pour manipuler ce document sous Unix (Dilib)
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