New measures for quantifying directional changes in presence-absence community data
Variation in community composition and species turnover are different types of beta diversity, expressing non-directional and directional changes, respectively. While directional changes (e.g. turnover) along geographic gradients can be studied in any direction depending on the hypothesis of interes...
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| Format: | Article |
| Language: | English |
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Elsevier
2022-03-01
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| Series: | Ecological Indicators |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1470160X22000899 |
| _version_ | 1818910122228842496 |
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| author | Dénes Schmera Pierre Legendre Tibor Erős Mónika Tóth Enikő K. Magyari Bruno Baur János Podani |
| author_facet | Dénes Schmera Pierre Legendre Tibor Erős Mónika Tóth Enikő K. Magyari Bruno Baur János Podani |
| author_sort | Dénes Schmera |
| collection | DOAJ |
| description | Variation in community composition and species turnover are different types of beta diversity, expressing non-directional and directional changes, respectively. While directional changes (e.g. turnover) along geographic gradients can be studied in any direction depending on the hypothesis of interest to researchers, temporal changes can only be meaningfully studied from past to present. Although a wide variety of methods exist for partitioning variation and related community-level phenomena such as similarity, richness difference and nestedness, approaches evaluating species turnover along geographic or temporal gradients, based on an analogous conceptual framework, are rare. We therefore look into the possibilities for examining different aspects of directional changes along a gradient when presence-absence community data are available. Measures of community overlap, as well as species loss and gain from one sampling unit to another along a gradient are combined to define a variety of turnover and nestedness concepts and to derive functions for their quantification. Each concept represents an ecological phenomenon to be indicated (indicandum), whereas measures (indicators) quantify relevant properties of these concepts. The measures use the raw number of species as well as relativized forms in accordance with the well-known Jaccard and Sørensen indices. The main innovation is the development of new measures of directional community change. We demonstrate differences between traditional non-directional and the new directional measures and use several examples to show that actual communities display directional responses to a particular ecological gradient. The new measures therefore reveal an uncovered aspect of community ecology. |
| first_indexed | 2024-12-19T22:37:47Z |
| format | Article |
| id | doaj.art-8665d57d9e92480dad944e4e260585c6 |
| institution | Directory Open Access Journal |
| issn | 1470-160X |
| language | English |
| last_indexed | 2024-12-19T22:37:47Z |
| publishDate | 2022-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Ecological Indicators |
| spelling | doaj.art-8665d57d9e92480dad944e4e260585c62022-12-21T20:03:09ZengElsevierEcological Indicators1470-160X2022-03-01136108618New measures for quantifying directional changes in presence-absence community dataDénes Schmera0Pierre Legendre1Tibor Erős2Mónika Tóth3Enikő K. Magyari4Bruno Baur5János Podani6Balaton Limnological Research Institute, Klebelsberg K. u. 3, 8237 Tihany, Hungary; Corresponding author.Département de sciences biologiques, Université de Montréal, C.P. 6128, succursale Centre-ville, Montréal, Québec H3C 3J7, CanadaBalaton Limnological Research Institute, Klebelsberg K. u. 3, 8237 Tihany, HungaryBalaton Limnological Research Institute, Klebelsberg K. u. 3, 8237 Tihany, HungaryDepartment of Environmental and Landscape Geography, Eötvös Loránd University, H–1117 Budapest, Pázmány Péter sétány 1/C, HungarySection of Conservation Biology, University of Basel, St. Johanns-Vorstadt 10, CH-4056 Basel, SwitzerlandDepartment of Plant Systematics, Ecology and Theoretical Biology, Institute of Biology, Eötvös Loránd University, Budapest, HungaryVariation in community composition and species turnover are different types of beta diversity, expressing non-directional and directional changes, respectively. While directional changes (e.g. turnover) along geographic gradients can be studied in any direction depending on the hypothesis of interest to researchers, temporal changes can only be meaningfully studied from past to present. Although a wide variety of methods exist for partitioning variation and related community-level phenomena such as similarity, richness difference and nestedness, approaches evaluating species turnover along geographic or temporal gradients, based on an analogous conceptual framework, are rare. We therefore look into the possibilities for examining different aspects of directional changes along a gradient when presence-absence community data are available. Measures of community overlap, as well as species loss and gain from one sampling unit to another along a gradient are combined to define a variety of turnover and nestedness concepts and to derive functions for their quantification. Each concept represents an ecological phenomenon to be indicated (indicandum), whereas measures (indicators) quantify relevant properties of these concepts. The measures use the raw number of species as well as relativized forms in accordance with the well-known Jaccard and Sørensen indices. The main innovation is the development of new measures of directional community change. We demonstrate differences between traditional non-directional and the new directional measures and use several examples to show that actual communities display directional responses to a particular ecological gradient. The new measures therefore reveal an uncovered aspect of community ecology.http://www.sciencedirect.com/science/article/pii/S1470160X22000899Components of beta diversityDirectional community indicesGradient analysisNestednessPresence-absence dataTurnover |
| spellingShingle | Dénes Schmera Pierre Legendre Tibor Erős Mónika Tóth Enikő K. Magyari Bruno Baur János Podani New measures for quantifying directional changes in presence-absence community data Ecological Indicators Components of beta diversity Directional community indices Gradient analysis Nestedness Presence-absence data Turnover |
| title | New measures for quantifying directional changes in presence-absence community data |
| title_full | New measures for quantifying directional changes in presence-absence community data |
| title_fullStr | New measures for quantifying directional changes in presence-absence community data |
| title_full_unstemmed | New measures for quantifying directional changes in presence-absence community data |
| title_short | New measures for quantifying directional changes in presence-absence community data |
| title_sort | new measures for quantifying directional changes in presence absence community data |
| topic | Components of beta diversity Directional community indices Gradient analysis Nestedness Presence-absence data Turnover |
| url | http://www.sciencedirect.com/science/article/pii/S1470160X22000899 |
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