From sampling stations to archipelagos: investigating aspects of the assemblage of insular biota
Identifieur interne : 000069 ( Istex/Corpus ); précédent : 000068; suivant : 000070From sampling stations to archipelagos: investigating aspects of the assemblage of insular biota
Auteurs : Spyros Sfenthourakis ; Sinos Giokas ; Evangelos TzanatosSource :
- Global Ecology and Biogeography [ 1466-822X ] ; 2004-01.
English descriptors
- KwdEn :
- Aegean archipelago, Aggregate data, Aggregate matrices, Amorgos, Amorgos kythnos mykonos syros sifnos serifos, Andros, Animal biology, Animal ecology, Archipelago, Archipelago scale, Assembly rules, Astypalaia, Atmar, Atmar patterson, Average number, Biogeography, Biological journal, Biotic, Biotic communities, Biotic interactions, Blackwell publishing, Brualdi sanderson, Calculator, Cambridge university press, Case study, Central aegean islands, Certain species, Checker, Checkerboard units, Column sums, Common species, Congeneric, Congeneric species, Data matrix, Differential species richness, Eastern group, Eastern islands, Ecological, Ecological assembly rules, Ecological communities, Ecological factors, Ecological variables, Ecology, Ecosim7 software, Environmental variables, Evangelos tzanatos, Frequency distribution, Global ecology, Gotelli, Gotelli ellison, Gotelli entsminger, Habitat diversity, Habitat heterogeneity, Habitat structure, Habitat types, Halophilic species, Higher temperatures, Idiosyncratic temperatures, Ikaria, Index value, Individual islands, Insular, Insular biotas, Island group, Island group scale, Island groups, Island matrices, Islands matrix, Isopod, Kalymnos, Kalymnos leros nisyros patmos astypalaia naxos andros paros tinos milos, Kalymnos leros nisyros patmos astypalaia naxos andros tinos paros milos, Kyklades, Kyklades kyklades, Leros, Linnean society, Local scale, Local speciation, Matrix, Matrix size, Maximally, Monte carlo simulation, More cases, Mutual exclusion, Naxos, Negative associations, Nestedness, Nestedness patterns, Nestedness temperature calculator, Nestedness values, Nisyros, Null matrices, Null model, Null models, Oecologia, Original matrix, Palaeogeographical history, Paros, Partial correlations, Patterson atmar, Perfect nestedness, Positive associations, Present analysis, Random pattern, Random tour algorithm, Research interests, Rich sites, Richer ones, Same species, Same time, Samos ikaria, Sampling station, Sampling stations, Sanderson, Serifos, Sfenthourakis, Sifnos, Sinos giokas, Small islets, Spatial scales, Species, Species assemblages, Species associations, Species communities, Species diversity, Species occurrence, Species pair, Species pairs, Species patterns, Species placement, Species presences, Species richness, Species subsets, Spyros sfenthourakis, Syros, Temperature calculator, Temperature method, Terrestrial invertebrate biodiversity, Terrestrial isopods, Tinos, Total matrix, Total number, Weiher keddy, Widespread species, Wright reeves, Zoological museum.
- Teeft :
- Aegean archipelago, Aggregate data, Aggregate matrices, Amorgos, Amorgos kythnos mykonos syros sifnos serifos, Andros, Animal biology, Animal ecology, Archipelago, Archipelago scale, Assembly rules, Astypalaia, Atmar, Atmar patterson, Average number, Biogeography, Biological journal, Biotic, Biotic communities, Biotic interactions, Blackwell publishing, Brualdi sanderson, Calculator, Cambridge university press, Case study, Central aegean islands, Certain species, Checker, Checkerboard units, Column sums, Common species, Congeneric, Congeneric species, Data matrix, Differential species richness, Eastern group, Eastern islands, Ecological, Ecological assembly rules, Ecological communities, Ecological factors, Ecological variables, Ecology, Ecosim7 software, Environmental variables, Evangelos tzanatos, Frequency distribution, Global ecology, Gotelli, Gotelli ellison, Gotelli entsminger, Habitat diversity, Habitat heterogeneity, Habitat structure, Habitat types, Halophilic species, Higher temperatures, Idiosyncratic temperatures, Ikaria, Index value, Individual islands, Insular, Insular biotas, Island group, Island group scale, Island groups, Island matrices, Islands matrix, Isopod, Kalymnos, Kalymnos leros nisyros patmos astypalaia naxos andros paros tinos milos, Kalymnos leros nisyros patmos astypalaia naxos andros tinos paros milos, Kyklades, Kyklades kyklades, Leros, Linnean society, Local scale, Local speciation, Matrix, Matrix size, Maximally, Monte carlo simulation, More cases, Mutual exclusion, Naxos, Negative associations, Nestedness, Nestedness patterns, Nestedness temperature calculator, Nestedness values, Nisyros, Null matrices, Null model, Null models, Oecologia, Original matrix, Palaeogeographical history, Paros, Partial correlations, Patterson atmar, Perfect nestedness, Positive associations, Present analysis, Random pattern, Random tour algorithm, Research interests, Rich sites, Richer ones, Same species, Same time, Samos ikaria, Sampling station, Sampling stations, Sanderson, Serifos, Sfenthourakis, Sifnos, Sinos giokas, Small islets, Spatial scales, Species, Species assemblages, Species associations, Species communities, Species diversity, Species occurrence, Species pair, Species pairs, Species patterns, Species placement, Species presences, Species richness, Species subsets, Spyros sfenthourakis, Syros, Temperature calculator, Temperature method, Terrestrial invertebrate biodiversity, Terrestrial isopods, Tinos, Total matrix, Total number, Weiher keddy, Widespread species, Wright reeves, Zoological museum.
Abstract
Aim To investigate the formation of nestedness and species co‐occurrence patterns at the local (sampling station), the intermediate (island group), and the archipelago scale.
Location The study used data on the distribution of terrestrial isopods on 20 islands of the central Aegean (Greece). These islands are assigned to two distinct subgroups (Kyklades and Eastern islands).
Methods The Nestedness Temperature Calculator was used to obtain nestedness values and maximally nested matrices, the EcoSim7 software and a modified version of Sanderson (2000) method were used for the analysis of species co‐occurrences. Idiosyncratic temperatures of species and the order of species placement in the maximally nested matrices were used for further comparisons among spatial scales. The relationships of nestedness values with beta‐diversity, habitat diversity and a number of ecological factors recorded for each sampling station were also investigated.
Results Significant nestedness was found at all spatial scales. Levels of nestedness were not related to beta‐diversity or habitat diversity. Nestedness values were similar among spatial scales, but they were affected by matrix size. The species that contributed most to the nested patterns within single islands were not the same as those that produce nestedness at the archipelago scale. There was significant variation in the frequency of species occurrence among islands and among spatial scales. There was no direct effect of ecological factors on the shaping of patterns of nestedness within individual islands, but habitat heterogeneity was crucial for the existence of such patterns. Positive associations among species prevailed at all scales when species per station were considered, while negative associations prevailed in the species per island matrices. All associations resulted from the habitat structure of sampling stations and from particularities of geographical distributions.
Conclusions There was no clear‐cut distinction between nestedness patterns among spatial scales, even though different species, and partially different factors, contributed to the formation of these patterns in each case. There was a core of species that contributed to the formation of nested patterns at all spatial scales, while the patterns of species associations suggested that biotic interactions are not an important causal factor. The results of this study suggest that locally rare species cannot be widespread at a higher spatial scale, while locally common species can have a restricted distribution.
Url:
DOI: 10.1111/j.1466-882X.2004.00065.x
Links to Exploration step
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<term>Species presences</term>
<term>Species richness</term>
<term>Species subsets</term>
<term>Spyros sfenthourakis</term>
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<term>Temperature calculator</term>
<term>Temperature method</term>
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<term>Tinos</term>
<term>Total matrix</term>
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<term>Animal ecology</term>
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<term>Archipelago scale</term>
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<term>Differential species richness</term>
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<term>Ecological assembly rules</term>
<term>Ecological communities</term>
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<term>Frequency distribution</term>
<term>Global ecology</term>
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<term>Gotelli ellison</term>
<term>Gotelli entsminger</term>
<term>Habitat diversity</term>
<term>Habitat heterogeneity</term>
<term>Habitat structure</term>
<term>Habitat types</term>
<term>Halophilic species</term>
<term>Higher temperatures</term>
<term>Idiosyncratic temperatures</term>
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<term>Index value</term>
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<term>Islands matrix</term>
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<term>Nestedness temperature calculator</term>
<term>Nestedness values</term>
<term>Nisyros</term>
<term>Null matrices</term>
<term>Null model</term>
<term>Null models</term>
<term>Oecologia</term>
<term>Original matrix</term>
<term>Palaeogeographical history</term>
<term>Paros</term>
<term>Partial correlations</term>
<term>Patterson atmar</term>
<term>Perfect nestedness</term>
<term>Positive associations</term>
<term>Present analysis</term>
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<term>Random tour algorithm</term>
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<term>Species</term>
<term>Species assemblages</term>
<term>Species associations</term>
<term>Species communities</term>
<term>Species diversity</term>
<term>Species occurrence</term>
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<term>Species pairs</term>
<term>Species patterns</term>
<term>Species placement</term>
<term>Species presences</term>
<term>Species richness</term>
<term>Species subsets</term>
<term>Spyros sfenthourakis</term>
<term>Syros</term>
<term>Temperature calculator</term>
<term>Temperature method</term>
<term>Terrestrial invertebrate biodiversity</term>
<term>Terrestrial isopods</term>
<term>Tinos</term>
<term>Total matrix</term>
<term>Total number</term>
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<front><div type="abstract">Aim To investigate the formation of nestedness and species co‐occurrence patterns at the local (sampling station), the intermediate (island group), and the archipelago scale.</div>
<div type="abstract">Location The study used data on the distribution of terrestrial isopods on 20 islands of the central Aegean (Greece). These islands are assigned to two distinct subgroups (Kyklades and Eastern islands).</div>
<div type="abstract">Methods The Nestedness Temperature Calculator was used to obtain nestedness values and maximally nested matrices, the EcoSim7 software and a modified version of Sanderson (2000) method were used for the analysis of species co‐occurrences. Idiosyncratic temperatures of species and the order of species placement in the maximally nested matrices were used for further comparisons among spatial scales. The relationships of nestedness values with beta‐diversity, habitat diversity and a number of ecological factors recorded for each sampling station were also investigated.</div>
<div type="abstract">Results Significant nestedness was found at all spatial scales. Levels of nestedness were not related to beta‐diversity or habitat diversity. Nestedness values were similar among spatial scales, but they were affected by matrix size. The species that contributed most to the nested patterns within single islands were not the same as those that produce nestedness at the archipelago scale. There was significant variation in the frequency of species occurrence among islands and among spatial scales. There was no direct effect of ecological factors on the shaping of patterns of nestedness within individual islands, but habitat heterogeneity was crucial for the existence of such patterns. Positive associations among species prevailed at all scales when species per station were considered, while negative associations prevailed in the species per island matrices. All associations resulted from the habitat structure of sampling stations and from particularities of geographical distributions.</div>
<div type="abstract">Conclusions There was no clear‐cut distinction between nestedness patterns among spatial scales, even though different species, and partially different factors, contributed to the formation of these patterns in each case. There was a core of species that contributed to the formation of nested patterns at all spatial scales, while the patterns of species associations suggested that biotic interactions are not an important causal factor. The results of this study suggest that locally rare species cannot be widespread at a higher spatial scale, while locally common species can have a restricted distribution.</div>
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<profileDesc><abstract xml:lang="en" style="main"><head>ABSTRACT</head>
<p><hi rend="bold">Aim </hi>
To investigate the formation of nestedness and species co‐occurrence patterns at the local (sampling station), the intermediate (island group), and the archipelago scale.</p>
<p><hi rend="bold">Location </hi>
The study used data on the distribution of terrestrial isopods on 20 islands of the central Aegean (Greece). These islands are assigned to two distinct subgroups (Kyklades and Eastern islands).</p>
<p><hi rend="bold">Methods </hi>
The Nestedness Temperature Calculator was used to obtain nestedness values and maximally nested matrices, the EcoSim7 software and a modified version of <ref type="bibr" target="#b1">Sanderson (2000</ref>
) method were used for the analysis of species co‐occurrences. Idiosyncratic temperatures of species and the order of species placement in the maximally nested matrices were used for further comparisons among spatial scales. The relationships of nestedness values with beta‐diversity, habitat diversity and a number of ecological factors recorded for each sampling station were also investigated.</p>
<p><hi rend="bold">Results </hi>
Significant nestedness was found at all spatial scales. Levels of nestedness were not related to beta‐diversity or habitat diversity. Nestedness values were similar among spatial scales, but they were affected by matrix size. The species that contributed most to the nested patterns within single islands were not the same as those that produce nestedness at the archipelago scale. There was significant variation in the frequency of species occurrence among islands and among spatial scales. There was no direct effect of ecological factors on the shaping of patterns of nestedness within individual islands, but habitat heterogeneity was crucial for the existence of such patterns. Positive associations among species prevailed at all scales when species per station were considered, while negative associations prevailed in the species per island matrices. All associations resulted from the habitat structure of sampling stations and from particularities of geographical distributions.</p>
<p><hi rend="bold">Conclusions </hi>
There was no clear‐cut distinction between nestedness patterns among spatial scales, even though different species, and partially different factors, contributed to the formation of these patterns in each case. There was a core of species that contributed to the formation of nested patterns at all spatial scales, while the patterns of species associations suggested that biotic interactions are not an important causal factor. The results of this study suggest that locally rare species cannot be widespread at a higher spatial scale, while locally common species can have a restricted distribution.</p>
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To investigate the formation of nestedness and species co‐occurrence patterns at the local (sampling station), the intermediate (island group), and the archipelago scale.</p>
<p><b>Location </b>
The study used data on the distribution of terrestrial isopods on 20 islands of the central Aegean (Greece). These islands are assigned to two distinct subgroups (Kyklades and Eastern islands).</p>
<p><b>Methods </b>
The Nestedness Temperature Calculator was used to obtain nestedness values and maximally nested matrices, the EcoSim7 software and a modified version of <link href="#b1">Sanderson (2000</link>
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<p><b>Results </b>
Significant nestedness was found at all spatial scales. Levels of nestedness were not related to beta‐diversity or habitat diversity. Nestedness values were similar among spatial scales, but they were affected by matrix size. The species that contributed most to the nested patterns within single islands were not the same as those that produce nestedness at the archipelago scale. There was significant variation in the frequency of species occurrence among islands and among spatial scales. There was no direct effect of ecological factors on the shaping of patterns of nestedness within individual islands, but habitat heterogeneity was crucial for the existence of such patterns. Positive associations among species prevailed at all scales when species per station were considered, while negative associations prevailed in the species per island matrices. All associations resulted from the habitat structure of sampling stations and from particularities of geographical distributions.</p>
<p><b>Conclusions </b>
There was no clear‐cut distinction between nestedness patterns among spatial scales, even though different species, and partially different factors, contributed to the formation of these patterns in each case. There was a core of species that contributed to the formation of nested patterns at all spatial scales, while the patterns of species associations suggested that biotic interactions are not an important causal factor. The results of this study suggest that locally rare species cannot be widespread at a higher spatial scale, while locally common species can have a restricted distribution.</p>
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<abstract>Aim To investigate the formation of nestedness and species co‐occurrence patterns at the local (sampling station), the intermediate (island group), and the archipelago scale.</abstract>
<abstract>Location The study used data on the distribution of terrestrial isopods on 20 islands of the central Aegean (Greece). These islands are assigned to two distinct subgroups (Kyklades and Eastern islands).</abstract>
<abstract>Methods The Nestedness Temperature Calculator was used to obtain nestedness values and maximally nested matrices, the EcoSim7 software and a modified version of Sanderson (2000) method were used for the analysis of species co‐occurrences. Idiosyncratic temperatures of species and the order of species placement in the maximally nested matrices were used for further comparisons among spatial scales. The relationships of nestedness values with beta‐diversity, habitat diversity and a number of ecological factors recorded for each sampling station were also investigated.</abstract>
<abstract>Results Significant nestedness was found at all spatial scales. Levels of nestedness were not related to beta‐diversity or habitat diversity. Nestedness values were similar among spatial scales, but they were affected by matrix size. The species that contributed most to the nested patterns within single islands were not the same as those that produce nestedness at the archipelago scale. There was significant variation in the frequency of species occurrence among islands and among spatial scales. There was no direct effect of ecological factors on the shaping of patterns of nestedness within individual islands, but habitat heterogeneity was crucial for the existence of such patterns. Positive associations among species prevailed at all scales when species per station were considered, while negative associations prevailed in the species per island matrices. All associations resulted from the habitat structure of sampling stations and from particularities of geographical distributions.</abstract>
<abstract>Conclusions There was no clear‐cut distinction between nestedness patterns among spatial scales, even though different species, and partially different factors, contributed to the formation of these patterns in each case. There was a core of species that contributed to the formation of nested patterns at all spatial scales, while the patterns of species associations suggested that biotic interactions are not an important causal factor. The results of this study suggest that locally rare species cannot be widespread at a higher spatial scale, while locally common species can have a restricted distribution.</abstract>
<subject lang="en"><genre>keywords</genre>
<topic>Aegean Islands</topic>
<topic>Greece</topic>
<topic>insular biota</topic>
<topic>nestedness</topic>
<topic>spatial scale</topic>
<topic>species co‐occurrence</topic>
<topic>Temperature Calculator</topic>
<topic>terrestrial isopods</topic>
</subject>
<relatedItem type="host"><titleInfo><title>Global Ecology and Biogeography</title>
</titleInfo>
<genre type="journal">journal</genre>
<identifier type="ISSN">1466-822X</identifier>
<identifier type="eISSN">1466-8238</identifier>
<identifier type="DOI">10.1111/(ISSN)1466-8238</identifier>
<identifier type="PublisherID">GEB</identifier>
<part><date>2004</date>
<detail type="volume"><caption>vol.</caption>
<number>13</number>
</detail>
<detail type="issue"><caption>no.</caption>
<number>1</number>
</detail>
<extent unit="pages"><start>23</start>
<end>35</end>
<total>13</total>
</extent>
</part>
</relatedItem>
<identifier type="istex">75913018B0C744678FAD01925617B3666040BB8B</identifier>
<identifier type="DOI">10.1111/j.1466-882X.2004.00065.x</identifier>
<identifier type="ArticleID">GEB065</identifier>
<recordInfo><recordContentSource>WILEY</recordContentSource>
<recordOrigin>Blackwell Publishing Ltd.</recordOrigin>
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