Species-Abundance Diversity: from Biodiversity Indices to Multivariate Analyses and Computer-Assisted Simulations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14310%2F07%3A00022459" target="_blank" >RIV/00216224:14310/07:00022459 - isvavai.cz</a>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Species-Abundance Diversity: from Biodiversity Indices to Multivariate Analyses and Computer-Assisted Simulations

Original language description

The biodiversity is the key concept of ecology and its understanding and analysis is crucial for any ecological research. There are three main approaches to answer the questions on biodiversity: diversity indices, species abundance models and multivariate analysis of biological communities. The analysis of biodiversity data is a very complex task and requires adopting several various methods of their analysis (diversity indices, species abundance models, multivariate analysis). Only the combination of methods supported by the ecological knowledge of species and underlying processes is the correct way of biodiversity data analysis.

Czech name

Species-Abundance Diversity: from Biodiversity Indices to Multivariate Analyses and Computer-Assisted Simulations

Czech description

The biodiversity is the key concept of ecology and its understanding and analysis is crucial for any ecological research. There are three main approaches to answer the questions on biodiversity: diversity indices, species abundance models and multivariate analysis of biological communities. The analysis of biodiversity data is a very complex task and requires adopting several various methods of their analysis (diversity indices, species abundance models, multivariate analysis). Only the combination of methods supported by the ecological knowledge of species and underlying processes is the correct way of biodiversity data analysis.

Type

D - Article in proceedings

CEP classification

EH - Ecology - communities

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2007

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 3rd Internationl Summer School on Computational Biology

ISBN

978-80-210-4370-1

ISSN

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e-ISSN

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Number of pages

11

Pages from-to

31-41

Publisher name

Masaryk University

Place of publication

Brno

Event location

Mikulov

Event date

Jan 1, 2007

Type of event by nationality

EUR - Evropská akce

UT code for WoS article

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