Estimating species richness, abundance and diversity with 70 macrobenthic replicates in the Western Baltic Sea
An unusually large number of replicated macrofaunal samples (70) was taken from the Western Baltic in May 1995 for a ringtest in an ICES/HELCOM intercalibration exercise. This data set was employed in this study in order to investigate the performance of numerical methods used for predicting species...
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Veröffentlicht in: | Marine ecology. Progress series (Halstenbek) 2001-04, Vol.214, p.103-110 |
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creator | Rumohr, Heye Karakassis, Ioannis Jensen, Jørgen Nørrevang |
description | An unusually large number of replicated macrofaunal samples (70) was taken from the Western Baltic in May 1995 for a ringtest in an ICES/HELCOM intercalibration exercise. This data set was employed in this study in order to investigate the performance of numerical methods used for predicting species richness and to assess the accuracy of the estimates of abundance and diversity currently used in benthic ecology. The results of this study indicate that: (1) more than 10 replicates are required in order to include in the data set more than two-thirds of the species found in 70 replicates, and more than 53 replicates are required in order to include 95% of the species; (2) estimates of average abundance and of average Shannon-Wiener diversity index using 5 replicates could result in less than 40% error; this could be less than 30% for 10 replicates and less than 5% for 70 replicates; (3) both types of species-richness predictions (jackknife estimate andS
∞) increased with increasing number of samples used in the calculations, indicating that their ability to assess overall species richness in the community is rather limited; in particular, it is shown that jackknife overestimates andS
∞slightly underestimates species richness. Different configurations of theS
∞method were tested in order to optimize its performance, and it was found that both truncation and increasing sampling lag result in increased and stabilized estimates of species richness. |
doi_str_mv | 10.3354/meps214103 |
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∞) increased with increasing number of samples used in the calculations, indicating that their ability to assess overall species richness in the community is rather limited; in particular, it is shown that jackknife overestimates andS
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∞) increased with increasing number of samples used in the calculations, indicating that their ability to assess overall species richness in the community is rather limited; in particular, it is shown that jackknife overestimates andS
∞slightly underestimates species richness. Different configurations of theS
∞method were tested in order to optimize its performance, and it was found that both truncation and increasing sampling lag result in increased and stabilized estimates of species richness.</description><subject>Animal and plant ecology</subject><subject>Animal, plant and microbial ecology</subject><subject>Aquatic communities</subject><subject>Baltic Sea</subject><subject>Biological and medical sciences</subject><subject>Data sampling</subject><subject>Datasets</subject><subject>Estimate reliability</subject><subject>Estimation methods</subject><subject>Fundamental and applied biological sciences. Psychology</subject><subject>Marine</subject><subject>Marine ecology</subject><subject>Sea water ecosystems</subject><subject>Species</subject><subject>Species diversity</subject><subject>Synecology</subject><subject>Truncation</subject><issn>0171-8630</issn><issn>1616-1599</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2001</creationdate><recordtype>article</recordtype><recordid>eNqNkEFv1DAQRi1EJZaWC3ckHyoOiNCZ2HHsI61aQKrUQ0EcI8eZdF1lvanHW9R_31RbFY6c5jBvvpl5QrxH-KJUo082NHONGkG9Eis0aCpsnHstVoAtVtYoeCPeMt8CoNGtWYl0ziVufInpRvJMIRLLHMM6EfNn6ftdGnwKJH0a5BDvKXMsD_JPLGvZgtz4kLc9pbKOQWaapxh8WRJikmVN8jdxoZzkqZ_KAlyTPxIHo5-Y3j3XQ_Hr4vzn2ffq8urbj7Ovl1VQrS1VO5re1DUGawZAb71pnRpG1LaFVhMOCD1g0yuvQ6MVeOdsDXpstBvd2Bh1KD7uc-e8vdstZ3SbyIGmySfa7rhDi3XjEP8DBAsO3QJ-2oPLx8yZxm7Oi7j80CF0T-67v-4X-Pg51XPw05gXh5H_mdCmtk_LP-yxWy7b_NKutTW6VqAeAV4LjUg</recordid><startdate>20010426</startdate><enddate>20010426</enddate><creator>Rumohr, Heye</creator><creator>Karakassis, Ioannis</creator><creator>Jensen, Jørgen Nørrevang</creator><general>Inter-Research</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SN</scope><scope>7TN</scope><scope>C1K</scope><scope>F1W</scope><scope>H95</scope><scope>L.G</scope></search><sort><creationdate>20010426</creationdate><title>Estimating species richness, abundance and diversity with 70 macrobenthic replicates in the Western Baltic Sea</title><author>Rumohr, Heye ; Karakassis, Ioannis ; Jensen, Jørgen Nørrevang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c378t-7f6b6221c86d01a8a6793df1487074e1d10b015b3a4c5430a998204f549f9f563</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2001</creationdate><topic>Animal and plant ecology</topic><topic>Animal, plant and microbial ecology</topic><topic>Aquatic communities</topic><topic>Baltic Sea</topic><topic>Biological and medical sciences</topic><topic>Data sampling</topic><topic>Datasets</topic><topic>Estimate reliability</topic><topic>Estimation methods</topic><topic>Fundamental and applied biological sciences. Psychology</topic><topic>Marine</topic><topic>Marine ecology</topic><topic>Sea water ecosystems</topic><topic>Species</topic><topic>Species diversity</topic><topic>Synecology</topic><topic>Truncation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Rumohr, Heye</creatorcontrib><creatorcontrib>Karakassis, Ioannis</creatorcontrib><creatorcontrib>Jensen, Jørgen Nørrevang</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Ecology Abstracts</collection><collection>Oceanic 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><jtitle>Marine ecology. Progress series (Halstenbek)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Rumohr, Heye</au><au>Karakassis, Ioannis</au><au>Jensen, Jørgen Nørrevang</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Estimating species richness, abundance and diversity with 70 macrobenthic replicates in the Western Baltic Sea</atitle><jtitle>Marine ecology. Progress series (Halstenbek)</jtitle><date>2001-04-26</date><risdate>2001</risdate><volume>214</volume><spage>103</spage><epage>110</epage><pages>103-110</pages><issn>0171-8630</issn><eissn>1616-1599</eissn><abstract>An unusually large number of replicated macrofaunal samples (70) was taken from the Western Baltic in May 1995 for a ringtest in an ICES/HELCOM intercalibration exercise. This data set was employed in this study in order to investigate the performance of numerical methods used for predicting species richness and to assess the accuracy of the estimates of abundance and diversity currently used in benthic ecology. The results of this study indicate that: (1) more than 10 replicates are required in order to include in the data set more than two-thirds of the species found in 70 replicates, and more than 53 replicates are required in order to include 95% of the species; (2) estimates of average abundance and of average Shannon-Wiener diversity index using 5 replicates could result in less than 40% error; this could be less than 30% for 10 replicates and less than 5% for 70 replicates; (3) both types of species-richness predictions (jackknife estimate andS
∞) increased with increasing number of samples used in the calculations, indicating that their ability to assess overall species richness in the community is rather limited; in particular, it is shown that jackknife overestimates andS
∞slightly underestimates species richness. Different configurations of theS
∞method were tested in order to optimize its performance, and it was found that both truncation and increasing sampling lag result in increased and stabilized estimates of species richness.</abstract><cop>Oldendorf</cop><pub>Inter-Research</pub><doi>10.3354/meps214103</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animal and plant ecology Animal, plant and microbial ecology Aquatic communities Baltic Sea Biological and medical sciences Data sampling Datasets Estimate reliability Estimation methods Fundamental and applied biological sciences. Psychology Marine Marine ecology Sea water ecosystems Species Species diversity Synecology Truncation |
title | Estimating species richness, abundance and diversity with 70 macrobenthic replicates in the Western Baltic Sea |
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