Unravelling heterogeneity of soft bottom communities in littoral zone using cluster analysis: methodical recommendations

Результат исследований: Научные публикации в периодических изданияхстатья

Выдержка

Study of spatial-temporal heterogeneity of the marine benthos is often done using the classification methods, cluster analysis in particular. To date, numerous procedures for determining the number of groups, present in a data set, have been proposed. As a rule, these methods are based on averaged characteristics of the structure of benthic communities, not taking into account the variability of biota abundance or biomass among individual samples. But the number of replicates can strongly affect similarity measures, especially ones, that have often been favored in field studies. The main aim of the present research was to study the effect of different number of replicates on the results of cluster analysis of the benthic community structures. Objects of investigations were the typical soft-bottom associations in the intertidal zone of the White Sea, occupying 9 locations and studied since 2008. The repeated comparisons of community structures described by different number of replicates (10 to 1) in each location were performed. The study showed that the weaker the differences between compared communities, the greater amount of samples were needed to obtain a reliable result. When comparing community structures from different locations at the same year as few as 5 samples were sufficient to obtain relatively reliable community descriptions. However, if the task was analysis of long-term changes in the community structure in the same site, the number of samples should be increased to 11. The reliability of the cluster analysis results depended on 1) similarity level, at which all stations merged into a single group, 2) similarity level, at which clusters were identified, and 3) ratio of these similarity levels.

Язык оригиналаанглийский
Страницы (с-по)46-54
Число страниц9
ЖурналJournal of Sea Research
Том146
DOI
СостояниеОпубликовано - 1 апр 2019

Отпечаток

littoral zone
intertidal environment
cluster analysis
community structure
benthos
sampling
long-term change
benthic organisms
biota
taxonomy
recommendation
biomass
organisms
methodology
method

Предметные области Scopus

  • Экология, эволюция поведение и систематика
  • Акванаука
  • Океанография

Цитировать

@article{5486b1b9d08b4b9daf1c22752e3119e6,
title = "Unravelling heterogeneity of soft bottom communities in littoral zone using cluster analysis: methodical recommendations",
abstract = "Study of spatial-temporal heterogeneity of the marine benthos is often done using the classification methods, cluster analysis in particular. To date, numerous procedures for determining the number of groups, present in a data set, have been proposed. As a rule, these methods are based on averaged characteristics of the structure of benthic communities, not taking into account the variability of biota abundance or biomass among individual samples. But the number of replicates can strongly affect similarity measures, especially ones, that have often been favored in field studies. The main aim of the present research was to study the effect of different number of replicates on the results of cluster analysis of the benthic community structures. Objects of investigations were the typical soft-bottom associations in the intertidal zone of the White Sea, occupying 9 locations and studied since 2008. The repeated comparisons of community structures described by different number of replicates (10 to 1) in each location were performed. The study showed that the weaker the differences between compared communities, the greater amount of samples were needed to obtain a reliable result. When comparing community structures from different locations at the same year as few as 5 samples were sufficient to obtain relatively reliable community descriptions. However, if the task was analysis of long-term changes in the community structure in the same site, the number of samples should be increased to 11. The reliability of the cluster analysis results depended on 1) similarity level, at which all stations merged into a single group, 2) similarity level, at which clusters were identified, and 3) ratio of these similarity levels.",
keywords = "Cluster analysis, Macrobenthos, Sampling design, Soft bottom communities, The White Sea, CHUPA INLET, ASSEMBLAGES, WHITE SEA, PATTERNS, PECHORA SEA, SPATIAL VARIATION, KANDALAKSHA BAY, MACROBENTHOS, SIMILARITY, TIDAL FLATS",
author = "Filippova, {Nadezhda A.} and Kozin, {Vitaly V.} and Gerasimova, {Alexandra V.} and Maximovich, {Nikolay V.}",
year = "2019",
month = "4",
day = "1",
doi = "10.1016/j.seares.2019.01.009",
language = "English",
volume = "146",
pages = "46--54",
journal = "Journal of Sea Research",
issn = "1385-1101",
publisher = "Elsevier",

}

Unravelling heterogeneity of soft bottom communities in littoral zone using cluster analysis: methodical recommendations. / Filippova, Nadezhda A.; Kozin, Vitaly V.; Gerasimova, Alexandra V.; Maximovich, Nikolay V.

В: Journal of Sea Research, Том 146, 01.04.2019, стр. 46-54.

Результат исследований: Научные публикации в периодических изданияхстатья

TY - JOUR

T1 - Unravelling heterogeneity of soft bottom communities in littoral zone using cluster analysis: methodical recommendations

AU - Filippova, Nadezhda A.

AU - Kozin, Vitaly V.

AU - Gerasimova, Alexandra V.

AU - Maximovich, Nikolay V.

PY - 2019/4/1

Y1 - 2019/4/1

N2 - Study of spatial-temporal heterogeneity of the marine benthos is often done using the classification methods, cluster analysis in particular. To date, numerous procedures for determining the number of groups, present in a data set, have been proposed. As a rule, these methods are based on averaged characteristics of the structure of benthic communities, not taking into account the variability of biota abundance or biomass among individual samples. But the number of replicates can strongly affect similarity measures, especially ones, that have often been favored in field studies. The main aim of the present research was to study the effect of different number of replicates on the results of cluster analysis of the benthic community structures. Objects of investigations were the typical soft-bottom associations in the intertidal zone of the White Sea, occupying 9 locations and studied since 2008. The repeated comparisons of community structures described by different number of replicates (10 to 1) in each location were performed. The study showed that the weaker the differences between compared communities, the greater amount of samples were needed to obtain a reliable result. When comparing community structures from different locations at the same year as few as 5 samples were sufficient to obtain relatively reliable community descriptions. However, if the task was analysis of long-term changes in the community structure in the same site, the number of samples should be increased to 11. The reliability of the cluster analysis results depended on 1) similarity level, at which all stations merged into a single group, 2) similarity level, at which clusters were identified, and 3) ratio of these similarity levels.

AB - Study of spatial-temporal heterogeneity of the marine benthos is often done using the classification methods, cluster analysis in particular. To date, numerous procedures for determining the number of groups, present in a data set, have been proposed. As a rule, these methods are based on averaged characteristics of the structure of benthic communities, not taking into account the variability of biota abundance or biomass among individual samples. But the number of replicates can strongly affect similarity measures, especially ones, that have often been favored in field studies. The main aim of the present research was to study the effect of different number of replicates on the results of cluster analysis of the benthic community structures. Objects of investigations were the typical soft-bottom associations in the intertidal zone of the White Sea, occupying 9 locations and studied since 2008. The repeated comparisons of community structures described by different number of replicates (10 to 1) in each location were performed. The study showed that the weaker the differences between compared communities, the greater amount of samples were needed to obtain a reliable result. When comparing community structures from different locations at the same year as few as 5 samples were sufficient to obtain relatively reliable community descriptions. However, if the task was analysis of long-term changes in the community structure in the same site, the number of samples should be increased to 11. The reliability of the cluster analysis results depended on 1) similarity level, at which all stations merged into a single group, 2) similarity level, at which clusters were identified, and 3) ratio of these similarity levels.

KW - Cluster analysis

KW - Macrobenthos

KW - Sampling design

KW - Soft bottom communities

KW - The White Sea

KW - CHUPA INLET

KW - ASSEMBLAGES

KW - WHITE SEA

KW - PATTERNS

KW - PECHORA SEA

KW - SPATIAL VARIATION

KW - KANDALAKSHA BAY

KW - MACROBENTHOS

KW - SIMILARITY

KW - TIDAL FLATS

UR - http://www.scopus.com/inward/record.url?scp=85060757564&partnerID=8YFLogxK

UR - http://www.mendeley.com/research/unravelling-heterogeneity-soft-bottom-communities-littoral-zone-using-cluster-analysis-methodical-re

U2 - 10.1016/j.seares.2019.01.009

DO - 10.1016/j.seares.2019.01.009

M3 - Article

VL - 146

SP - 46

EP - 54

JO - Journal of Sea Research

JF - Journal of Sea Research

SN - 1385-1101

ER -