Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin Technosols

This paper examines the temporal dynamics of terrestrial mollusks of the Nikopol manganese ore basin technosols. The research was carried out at the Research Centre of the Dnipro Agrarian and Economic University in Pokrov (Ukraine). Sampling was carried out in 2012–2014 on four variants of artificia...

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Main Authors: Kunakh Olga, Kovalenko Darya
Format: Article
Language:English
Published: Sciendo 2019-12-01
Series:Ekológia (Bratislava)
Subjects:
Online Access:https://doi.org/10.2478/eko-2019-0027
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author Kunakh Olga
Kovalenko Darya
author_facet Kunakh Olga
Kovalenko Darya
author_sort Kunakh Olga
collection DOAJ
description This paper examines the temporal dynamics of terrestrial mollusks of the Nikopol manganese ore basin technosols. The research was carried out at the Research Centre of the Dnipro Agrarian and Economic University in Pokrov (Ukraine). Sampling was carried out in 2012–2014 on four variants of artificial soil: formed on red-brown clays, on loess-like loams, on gray-green clays, and on humus-rich layer. The distribution of the number of individuals in a mollusk population was described by broken stick, Motomura, log-normal, Zipf, and Zipf-Mandelbrot models. It was shown that the series of models that best describe mollusk abundance distribution is specific for a particular species and technosols type and generally is invariant over time.
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spelling doaj.art-7c577808d4154361b380470232ab52092022-12-21T22:36:42ZengSciendoEkológia (Bratislava)1337-947X2019-12-0138436738110.2478/eko-2019-0027eko-2019-0027Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin TechnosolsKunakh Olga0Kovalenko Darya1Oles Honchar Dnipro National University, pr. Gagarina, 72, 49010Dnipro, UkraineBogdan Khmelnitsky Melitopol State Pedagogical University, 20, Hetmanska Street, 72318, Melitopol Zaporizhzhya, UkraineThis paper examines the temporal dynamics of terrestrial mollusks of the Nikopol manganese ore basin technosols. The research was carried out at the Research Centre of the Dnipro Agrarian and Economic University in Pokrov (Ukraine). Sampling was carried out in 2012–2014 on four variants of artificial soil: formed on red-brown clays, on loess-like loams, on gray-green clays, and on humus-rich layer. The distribution of the number of individuals in a mollusk population was described by broken stick, Motomura, log-normal, Zipf, and Zipf-Mandelbrot models. It was shown that the series of models that best describe mollusk abundance distribution is specific for a particular species and technosols type and generally is invariant over time.https://doi.org/10.2478/eko-2019-0027land snailstechnosolsdistributionpopulation
spellingShingle Kunakh Olga
Kovalenko Darya
Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin Technosols
Ekológia (Bratislava)
land snails
technosols
distribution
population
title Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin Technosols
title_full Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin Technosols
title_fullStr Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin Technosols
title_full_unstemmed Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin Technosols
title_short Fitting Competing Models of the Population Abundance Distribution: Land Snails from Nikopol Manganese Ore Basin Technosols
title_sort fitting competing models of the population abundance distribution land snails from nikopol manganese ore basin technosols
topic land snails
technosols
distribution
population
url https://doi.org/10.2478/eko-2019-0027
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AT kovalenkodarya fittingcompetingmodelsofthepopulationabundancedistributionlandsnailsfromnikopolmanganeseorebasintechnosols