The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method

Ecologists are challenged to detect and offer measures to mitigate the ever-growing impacts on ecosystems (e.g., eutrophication and global warming). An important part of the challenge is to get the necessary biodiversity data over large spatial extents and continuously over time. This challenge is e...

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Autores principales:	Vanessa G. Lopes, Christina W. Castelo Branco, Betina Kozlowsky-Suzuki, Luis Mauricio Bini
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Taxonomic simplification Numeric simplification Zooplankton Temporal pattern Data resolution Biomonitoring Ecology QH540-549.5
Acceso en línea:	https://doaj.org/article/0db12338d73145af8c47af243dd746d0
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spelling	oai:doaj.org-article:0db12338d73145af8c47af243dd746d02021-12-01T04:57:40ZThe reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method1470-160X10.1016/j.ecolind.2021.107999https://doaj.org/article/0db12338d73145af8c47af243dd746d02021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S1470160X21006646https://doaj.org/toc/1470-160XEcologists are challenged to detect and offer measures to mitigate the ever-growing impacts on ecosystems (e.g., eutrophication and global warming). An important part of the challenge is to get the necessary biodiversity data over large spatial extents and continuously over time. This challenge is even more evident when one considers the scarcity of research funds and specialized personnel to conduct biomonitoring programs. Thus, by necessity, most of them are based on some sort of shortcut, including the use of higher taxa, presence-absence data and a limited number of taxonomic groups. However, there is a scarcity of studies evaluating the reliability of these shortcuts in temporal analyses of community structure. Here, using zooplankton communities monitored over a period of 85 months in a tropical reservoir, we tested whether data with low taxonomic and numerical resolutions were able to predict beta diversity and ordination patterns generated with species abundance data. The results of two methods, commonly used to measure the relationships between multivariate data (Mantel and Procrustes tests), indicated a high correlation between datasets with low and high taxonomic resolutions. However, the Mantel test results indicated that resemblance matrices derived from presence-absence data were, in general, poorly correlated with those matrices derived from abundance data. Finally, based on the simple correlation between ordination axes derived from data with different taxonomic and numerical resolutions, we found that none of the shortcuts provided reliable results for the different sites analyzed. We suggest that further studies should raise the bar for the proposal of shortcuts and that high-resolution data are key to achieve biomonitoring goals.Vanessa G. LopesChristina W. Castelo BrancoBetina Kozlowsky-SuzukiLuis Mauricio BiniElsevierarticleTaxonomic simplificationNumeric simplificationZooplanktonTemporal patternData resolutionBiomonitoringEcologyQH540-549.5ENEcological Indicators, Vol 129, Iss , Pp 107999- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Taxonomic simplification Numeric simplification Zooplankton Temporal pattern Data resolution Biomonitoring Ecology QH540-549.5
spellingShingle	Taxonomic simplification Numeric simplification Zooplankton Temporal pattern Data resolution Biomonitoring Ecology QH540-549.5 Vanessa G. Lopes Christina W. Castelo Branco Betina Kozlowsky-Suzuki Luis Mauricio Bini The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method
description	Ecologists are challenged to detect and offer measures to mitigate the ever-growing impacts on ecosystems (e.g., eutrophication and global warming). An important part of the challenge is to get the necessary biodiversity data over large spatial extents and continuously over time. This challenge is even more evident when one considers the scarcity of research funds and specialized personnel to conduct biomonitoring programs. Thus, by necessity, most of them are based on some sort of shortcut, including the use of higher taxa, presence-absence data and a limited number of taxonomic groups. However, there is a scarcity of studies evaluating the reliability of these shortcuts in temporal analyses of community structure. Here, using zooplankton communities monitored over a period of 85 months in a tropical reservoir, we tested whether data with low taxonomic and numerical resolutions were able to predict beta diversity and ordination patterns generated with species abundance data. The results of two methods, commonly used to measure the relationships between multivariate data (Mantel and Procrustes tests), indicated a high correlation between datasets with low and high taxonomic resolutions. However, the Mantel test results indicated that resemblance matrices derived from presence-absence data were, in general, poorly correlated with those matrices derived from abundance data. Finally, based on the simple correlation between ordination axes derived from data with different taxonomic and numerical resolutions, we found that none of the shortcuts provided reliable results for the different sites analyzed. We suggest that further studies should raise the bar for the proposal of shortcuts and that high-resolution data are key to achieve biomonitoring goals.
format	article
author	Vanessa G. Lopes Christina W. Castelo Branco Betina Kozlowsky-Suzuki Luis Mauricio Bini
author_facet	Vanessa G. Lopes Christina W. Castelo Branco Betina Kozlowsky-Suzuki Luis Mauricio Bini
author_sort	Vanessa G. Lopes
title	The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method
title_short	The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method
title_full	The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method
title_fullStr	The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method
title_full_unstemmed	The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method
title_sort	reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/0db12338d73145af8c47af243dd746d0
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The reliability of low taxonomic and numerical resolutions for biodiversity monitoring is site specific and dependent on the statistical method

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