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Functional characterizations of Ellenberg indicator values — a review on ecophysiological determinants
Summary Ellenberg indicator values (EIVs) can be used as a numerical system to classify species’ habitat niches and their peak occurrence along gradients. By finding correlations of EIVs with morphological or ecophysiological properties, it is possible to identify determinants of species distributio...
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| Published in: | Functional ecology 2016-04, Vol.30 (4), p.506-516 |
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| Main Authors: | , |
| Format: | Article |
| Language: | English |
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| container_end_page | 516 |
| container_issue | 4 |
| container_start_page | 506 |
| container_title | Functional ecology |
| container_volume | 30 |
| creator | Bartelheimer, Maik Poschlod, Peter |
| description | Summary
Ellenberg indicator values (EIVs) can be used as a numerical system to classify species’ habitat niches and their peak occurrence along gradients. By finding correlations of EIVs with morphological or ecophysiological properties, it is possible to identify determinants of species distributions with respect to environmental factors.
We surveyed existing literature containing species comparisons from controlled experiments and combined them with EIVs.
The picture emerging is that multiple determinants can be identified for nutrient numbers (N), soil reaction numbers (R) and also soil moisture numbers (M), while only few can be found for light numbers (L) and especially for continentality (C) and temperature numbers (T). Functional characterizations of the different EIV can thus be deduced which help to understand the mechanisms and processes driving the ecological niche of a plant.
The described approach is a powerful tool to analyse the ecological significance of different plant properties. Species screenings specifically designed to allow for correlations with EIV have large potential for high explanatory power.
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| doi_str_mv | 10.1111/1365-2435.12531 |
| format | article |
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Ellenberg indicator values (EIVs) can be used as a numerical system to classify species’ habitat niches and their peak occurrence along gradients. By finding correlations of EIVs with morphological or ecophysiological properties, it is possible to identify determinants of species distributions with respect to environmental factors.
We surveyed existing literature containing species comparisons from controlled experiments and combined them with EIVs.
The picture emerging is that multiple determinants can be identified for nutrient numbers (N), soil reaction numbers (R) and also soil moisture numbers (M), while only few can be found for light numbers (L) and especially for continentality (C) and temperature numbers (T). Functional characterizations of the different EIV can thus be deduced which help to understand the mechanisms and processes driving the ecological niche of a plant.
The described approach is a powerful tool to analyse the ecological significance of different plant properties. Species screenings specifically designed to allow for correlations with EIV have large potential for high explanatory power.
Lay Summary</description><identifier>ISSN: 0269-8463</identifier><identifier>EISSN: 1365-2435</identifier><identifier>DOI: 10.1111/1365-2435.12531</identifier><identifier>CODEN: FECOE5</identifier><language>eng</language><publisher>London: Wiley</publisher><subject>controlled experiments ; Correlation ; ecological gradients ; Ecological monitoring ; Ellenberg indicator values ; Environmental factors ; Functional anatomy ; Habitats ; Light effects ; Moisture ; Niches ; plant traits ; REVIEW ; Reviews ; Soil moisture ; Soils ; Species classification ; Species comparisons ; species screening ; Temperature effects</subject><ispartof>Functional ecology, 2016-04, Vol.30 (4), p.506-516</ispartof><rights>2015 The Authors. © 2015 British Ecological Society</rights><rights>2015 The Authors. Functional Ecology © 2015 British Ecological Society</rights><rights>Functional Ecology © 2016 British Ecological Society</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.jstor.org/stable/pdf/48582426$$EPDF$$P50$$Gjstor$$H</linktopdf><linktohtml>$$Uhttps://www.jstor.org/stable/48582426$$EHTML$$P50$$Gjstor$$H</linktohtml><link.rule.ids>314,780,784,27924,27925,58238,58471</link.rule.ids></links><search><creatorcontrib>Bartelheimer, Maik</creatorcontrib><creatorcontrib>Poschlod, Peter</creatorcontrib><title>Functional characterizations of Ellenberg indicator values — a review on ecophysiological determinants</title><title>Functional ecology</title><description>Summary
Ellenberg indicator values (EIVs) can be used as a numerical system to classify species’ habitat niches and their peak occurrence along gradients. By finding correlations of EIVs with morphological or ecophysiological properties, it is possible to identify determinants of species distributions with respect to environmental factors.
We surveyed existing literature containing species comparisons from controlled experiments and combined them with EIVs.
The picture emerging is that multiple determinants can be identified for nutrient numbers (N), soil reaction numbers (R) and also soil moisture numbers (M), while only few can be found for light numbers (L) and especially for continentality (C) and temperature numbers (T). Functional characterizations of the different EIV can thus be deduced which help to understand the mechanisms and processes driving the ecological niche of a plant.
The described approach is a powerful tool to analyse the ecological significance of different plant properties. Species screenings specifically designed to allow for correlations with EIV have large potential for high explanatory power.
Lay Summary</description><subject>controlled experiments</subject><subject>Correlation</subject><subject>ecological gradients</subject><subject>Ecological monitoring</subject><subject>Ellenberg indicator values</subject><subject>Environmental factors</subject><subject>Functional anatomy</subject><subject>Habitats</subject><subject>Light effects</subject><subject>Moisture</subject><subject>Niches</subject><subject>plant traits</subject><subject>REVIEW</subject><subject>Reviews</subject><subject>Soil moisture</subject><subject>Soils</subject><subject>Species classification</subject><subject>Species comparisons</subject><subject>species screening</subject><subject>Temperature effects</subject><issn>0269-8463</issn><issn>1365-2435</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNp9kctOWzEQhi1UpKbAuiskS910c6jvl2UVJYCE1A2sLeMzIY6c49Q-AYUVD9En5ElwSMWii85mRqPvH83Mj9BXSi5oix-UK9kxweUFZZLTIzT56HxCE8KU7YxQ_DP6UuuKEGIlYxO0nG-HMMY8-ITD0hcfRijx2e9bFecFnqUEwz2UBxyHPgY_5oIffdpCxa8vf7DHBR4jPOE8YAh5s9zVmFN-aGTCPbRh6zj4Yayn6HjhU4Wzv_kE3c1nt9Or7ubX5fX050234m3rjnNtCWXWSKsskUEwYizrCfRMaEm05MYbH1g7R3Bl-ALkogfwQVMJvRf8BH0_zN2U_LttObp1rAFS8gPkbXVUGyKJElY19Ns_6CpvS_tEoyxRRBmr2X8prbWlUlDaKHmgnmKCnduUuPZl5yhxe3Pc3gq3t8K9m-Pms-l70XTnB92qts9-6ISRhgmm-Btd0Iyz</recordid><startdate>20160401</startdate><enddate>20160401</enddate><creator>Bartelheimer, Maik</creator><creator>Poschlod, Peter</creator><general>Wiley</general><general>Wiley Subscription Services, Inc</general><scope>7QG</scope><scope>7SN</scope><scope>7SS</scope><scope>8FD</scope><scope>C1K</scope><scope>FR3</scope><scope>P64</scope><scope>RC3</scope><scope>7ST</scope><scope>7U6</scope></search><sort><creationdate>20160401</creationdate><title>Functional characterizations of Ellenberg indicator values — a review on ecophysiological determinants</title><author>Bartelheimer, Maik ; Poschlod, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-j3531-337901298596905c420892d0ed247507538a8ac226943683fe5fdeeac715eda43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>controlled experiments</topic><topic>Correlation</topic><topic>ecological gradients</topic><topic>Ecological monitoring</topic><topic>Ellenberg indicator values</topic><topic>Environmental factors</topic><topic>Functional anatomy</topic><topic>Habitats</topic><topic>Light effects</topic><topic>Moisture</topic><topic>Niches</topic><topic>plant traits</topic><topic>REVIEW</topic><topic>Reviews</topic><topic>Soil moisture</topic><topic>Soils</topic><topic>Species classification</topic><topic>Species comparisons</topic><topic>species screening</topic><topic>Temperature effects</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Bartelheimer, Maik</creatorcontrib><creatorcontrib>Poschlod, Peter</creatorcontrib><collection>Animal Behavior Abstracts</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Technology Research Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Environment Abstracts</collection><collection>Sustainability Science Abstracts</collection><jtitle>Functional ecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Bartelheimer, Maik</au><au>Poschlod, Peter</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Functional characterizations of Ellenberg indicator values — a review on ecophysiological determinants</atitle><jtitle>Functional ecology</jtitle><date>2016-04-01</date><risdate>2016</risdate><volume>30</volume><issue>4</issue><spage>506</spage><epage>516</epage><pages>506-516</pages><issn>0269-8463</issn><eissn>1365-2435</eissn><coden>FECOE5</coden><abstract>Summary
Ellenberg indicator values (EIVs) can be used as a numerical system to classify species’ habitat niches and their peak occurrence along gradients. By finding correlations of EIVs with morphological or ecophysiological properties, it is possible to identify determinants of species distributions with respect to environmental factors.
We surveyed existing literature containing species comparisons from controlled experiments and combined them with EIVs.
The picture emerging is that multiple determinants can be identified for nutrient numbers (N), soil reaction numbers (R) and also soil moisture numbers (M), while only few can be found for light numbers (L) and especially for continentality (C) and temperature numbers (T). Functional characterizations of the different EIV can thus be deduced which help to understand the mechanisms and processes driving the ecological niche of a plant.
The described approach is a powerful tool to analyse the ecological significance of different plant properties. Species screenings specifically designed to allow for correlations with EIV have large potential for high explanatory power.
Lay Summary</abstract><cop>London</cop><pub>Wiley</pub><doi>10.1111/1365-2435.12531</doi><tpages>11</tpages><oa>free_for_read</oa></addata></record> |
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| identifier | ISSN: 0269-8463 |
| ispartof | Functional ecology, 2016-04, Vol.30 (4), p.506-516 |
| issn | 0269-8463 1365-2435 |
| language | eng |
| recordid | cdi_proquest_miscellaneous_1780506496 |
| source | Wiley; JSTOR Archival Journals and Primary Sources Collection |
| subjects | controlled experiments Correlation ecological gradients Ecological monitoring Ellenberg indicator values Environmental factors Functional anatomy Habitats Light effects Moisture Niches plant traits REVIEW Reviews Soil moisture Soils Species classification Species comparisons species screening Temperature effects |
| title | Functional characterizations of Ellenberg indicator values — a review on ecophysiological determinants |
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