Littoral macroinvertebrate communities: spatial scale and ecological relationships
SUMMARY 1. Spatial correlations between ecological patterns and processes are thought to be scale‐dependent, yet surprisingly few studies have evaluated the correspondence between different levels of spatial scale and ecosystem structure and function. 2. We evaluated the strength of relationships be...
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Veröffentlicht in: | Freshwater biology 2002-10, Vol.47 (10), p.1840-1854 |
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description | SUMMARY 1. Spatial correlations between ecological patterns and processes are thought to be scale‐dependent, yet surprisingly few studies have evaluated the correspondence between different levels of spatial scale and ecosystem structure and function.
2. We evaluated the strength of relationships between the benthic macroinvertebrate communities of stony littoral habitats and levels of ecological scale and geographical position, using partial constrained ordination. Our hypothesis was that correlation strength would be inversely related to ecological scale, i.e. habitat > ecosystem > riparian > catchment > ecoregion.
3. The effect of habitat was greater than that of other levels of spatial scale: 23% of the variance in taxonomic composition and 11% of that in functional composition was explained by habitat variables alone. However, greater spatial scales were also important. For example, the combined influence of riparian, catchment and ecoregion classification accounted for 24% (taxonomic) and 11% (functional) of the explained variance.
4. Relationships between organisms and scale variables were, however, non‐linear and a substantial amount of the functional variance was hidden in joint effects. These findings were not unexpected, and presumably indicate a close interdependence between local and regional‐scale variables. |
doi_str_mv | 10.1046/j.1365-2427.2002.00932.x |
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2. We evaluated the strength of relationships between the benthic macroinvertebrate communities of stony littoral habitats and levels of ecological scale and geographical position, using partial constrained ordination. Our hypothesis was that correlation strength would be inversely related to ecological scale, i.e. habitat > ecosystem > riparian > catchment > ecoregion.
3. The effect of habitat was greater than that of other levels of spatial scale: 23% of the variance in taxonomic composition and 11% of that in functional composition was explained by habitat variables alone. However, greater spatial scales were also important. For example, the combined influence of riparian, catchment and ecoregion classification accounted for 24% (taxonomic) and 11% (functional) of the explained variance.
4. Relationships between organisms and scale variables were, however, non‐linear and a substantial amount of the functional variance was hidden in joint effects. These findings were not unexpected, and presumably indicate a close interdependence between local and regional‐scale variables.</description><identifier>ISSN: 0046-5070</identifier><identifier>EISSN: 1365-2427</identifier><identifier>DOI: 10.1046/j.1365-2427.2002.00932.x</identifier><identifier>CODEN: FWBLAB</identifier><language>eng</language><publisher>Oxford, UK: Blackwell Science Ltd</publisher><subject>Animal and plant ecology ; Animal, plant and microbial ecology ; Biological and medical sciences ; ecosystem ; Fresh water ecosystems ; Fundamental and applied biological sciences. Psychology ; lakes ; littoral ; Sea water ecosystems ; spatial scale ; Synecology ; temperate ; variance partitioning</subject><ispartof>Freshwater biology, 2002-10, Vol.47 (10), p.1840-1854</ispartof><rights>2002 INIST-CNRS</rights><rights>Copyright Blackwell Science Ltd. Oct 2002</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4362-7acb1e15255abda541ef8515c8846c290e6e3235c96ce09c38a3c48b56341b0a3</citedby><cites>FETCH-LOGICAL-c4362-7acb1e15255abda541ef8515c8846c290e6e3235c96ce09c38a3c48b56341b0a3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1046%2Fj.1365-2427.2002.00932.x$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1046%2Fj.1365-2427.2002.00932.x$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,781,785,1418,27928,27929,45578,45579</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=13927211$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Johnson, R. K.</creatorcontrib><creatorcontrib>Goedkoop, W.</creatorcontrib><title>Littoral macroinvertebrate communities: spatial scale and ecological relationships</title><title>Freshwater biology</title><description>SUMMARY 1. Spatial correlations between ecological patterns and processes are thought to be scale‐dependent, yet surprisingly few studies have evaluated the correspondence between different levels of spatial scale and ecosystem structure and function.
2. We evaluated the strength of relationships between the benthic macroinvertebrate communities of stony littoral habitats and levels of ecological scale and geographical position, using partial constrained ordination. Our hypothesis was that correlation strength would be inversely related to ecological scale, i.e. habitat > ecosystem > riparian > catchment > ecoregion.
3. The effect of habitat was greater than that of other levels of spatial scale: 23% of the variance in taxonomic composition and 11% of that in functional composition was explained by habitat variables alone. However, greater spatial scales were also important. For example, the combined influence of riparian, catchment and ecoregion classification accounted for 24% (taxonomic) and 11% (functional) of the explained variance.
4. Relationships between organisms and scale variables were, however, non‐linear and a substantial amount of the functional variance was hidden in joint effects. These findings were not unexpected, and presumably indicate a close interdependence between local and regional‐scale variables.</description><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Biological and medical sciences</subject><subject>ecosystem</subject><subject>Fresh water ecosystems</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>lakes</subject><subject>littoral</subject><subject>Sea water ecosystems</subject><subject>spatial scale</subject><subject>Synecology</subject><subject>temperate</subject><subject>variance partitioning</subject><issn>0046-5070</issn><issn>1365-2427</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2002</creationdate><recordtype>article</recordtype><recordid>eNqNkF1PFDEUhhsjiSv6HyYmejfDaTv9GOINIiBxA2owXDadcla6zEzXdhaWf2-HJZBw5dXpyXneN81DSEGholDLvWVFuRQlq5mqGACrABrOqs0rMns6vCYzyGwpQMEb8jalJQBoodiM_Jr7cQzRdkVvXQx-uMU4YhvtiIULfb8e_Ogx7RdpZUefseRsh4Udrgp0oQt_fN6LiF2-hiFd-1V6R3YWtkv4_nHukt_HRxeH38r5-cnp4cG8dDWXrFTWtRSpYELY9sqKmuJCCyqc1rV0rAGUyBkXrpEOoXFcW-5q3QrJa9qC5bvk07Z3FcPfNabR9D457Do7YFgnQ7VoGCiVwQ8vwGVYxyH_zTBOayloAxnSWyhbSCniwqyi7228NxTMZNoszSTUTELNZNo8mDabHP342G8nO4toB-fTc543TDFKM_d5y935Du__u98cX37Jjxwvt3GfRtw8xW28MVJxJczl2YnRF2c_5PevP43m_wCJMqBw</recordid><startdate>200210</startdate><enddate>200210</enddate><creator>Johnson, R. K.</creator><creator>Goedkoop, W.</creator><general>Blackwell Science Ltd</general><general>Blackwell Science</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7SN</scope><scope>7SS</scope><scope>7UA</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope><scope>M7N</scope></search><sort><creationdate>200210</creationdate><title>Littoral macroinvertebrate communities: spatial scale and ecological relationships</title><author>Johnson, R. K. ; Goedkoop, W.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4362-7acb1e15255abda541ef8515c8846c290e6e3235c96ce09c38a3c48b56341b0a3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2002</creationdate><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Biological and medical sciences</topic><topic>ecosystem</topic><topic>Fresh water ecosystems</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>lakes</topic><topic>littoral</topic><topic>Sea water ecosystems</topic><topic>spatial scale</topic><topic>Synecology</topic><topic>temperate</topic><topic>variance partitioning</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Johnson, R. K.</creatorcontrib><creatorcontrib>Goedkoop, W.</creatorcontrib><collection>Istex</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><jtitle>Freshwater biology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Johnson, R. K.</au><au>Goedkoop, W.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Littoral macroinvertebrate communities: spatial scale and ecological relationships</atitle><jtitle>Freshwater biology</jtitle><date>2002-10</date><risdate>2002</risdate><volume>47</volume><issue>10</issue><spage>1840</spage><epage>1854</epage><pages>1840-1854</pages><issn>0046-5070</issn><eissn>1365-2427</eissn><coden>FWBLAB</coden><abstract>SUMMARY 1. Spatial correlations between ecological patterns and processes are thought to be scale‐dependent, yet surprisingly few studies have evaluated the correspondence between different levels of spatial scale and ecosystem structure and function.
2. We evaluated the strength of relationships between the benthic macroinvertebrate communities of stony littoral habitats and levels of ecological scale and geographical position, using partial constrained ordination. Our hypothesis was that correlation strength would be inversely related to ecological scale, i.e. habitat > ecosystem > riparian > catchment > ecoregion.
3. The effect of habitat was greater than that of other levels of spatial scale: 23% of the variance in taxonomic composition and 11% of that in functional composition was explained by habitat variables alone. However, greater spatial scales were also important. For example, the combined influence of riparian, catchment and ecoregion classification accounted for 24% (taxonomic) and 11% (functional) of the explained variance.
4. Relationships between organisms and scale variables were, however, non‐linear and a substantial amount of the functional variance was hidden in joint effects. These findings were not unexpected, and presumably indicate a close interdependence between local and regional‐scale variables.</abstract><cop>Oxford, UK</cop><pub>Blackwell Science Ltd</pub><doi>10.1046/j.1365-2427.2002.00932.x</doi><tpages>15</tpages></addata></record> |
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subjects | Animal and plant ecology Animal, plant and microbial ecology Biological and medical sciences ecosystem Fresh water ecosystems Fundamental and applied biological sciences. Psychology lakes littoral Sea water ecosystems spatial scale Synecology temperate variance partitioning |
title | Littoral macroinvertebrate communities: spatial scale and ecological relationships |
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