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Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms

Invertebrate biomass is considered one of the main factors driving processes in ecosystems. It can be measured directly, primarily by weighing individuals, but more often indirect estimators are used. We developed two indirect and non-destructive approaches to estimate biomass of small invertebrates...

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Autores principales: Llopis-Belenguer, Cristina, Blasco-Costa, Isabel, Balbuena, Juan Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832816/
https://www.ncbi.nlm.nih.gov/pubmed/29497143
http://dx.doi.org/10.1038/s41598-018-22304-x
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author Llopis-Belenguer, Cristina
Blasco-Costa, Isabel
Balbuena, Juan Antonio
author_facet Llopis-Belenguer, Cristina
Blasco-Costa, Isabel
Balbuena, Juan Antonio
author_sort Llopis-Belenguer, Cristina
collection PubMed
description Invertebrate biomass is considered one of the main factors driving processes in ecosystems. It can be measured directly, primarily by weighing individuals, but more often indirect estimators are used. We developed two indirect and non-destructive approaches to estimate biomass of small invertebrates in a simple manner. The first one was based on clay modelling and the second one was based on image analysis implemented with open-source software. Furthermore, we tested the accuracy of the widely used geometric approximation method (third method). We applied these three different methods to three morphologically disparate model species, an acanthocephalan worm, a crustacean and a flatworm. To validate our indirect estimations and to test their accuracy, we weighed specimens of the three species and calculated their tissue densities. Additionally, we propose an uncomplicated technique to estimate thickness of individuals under a microscope, a required measurement for two of the three indirect methods tested. The indirect methods proposed in this paper provided the best approximation to direct measurements. Despite its wide use, the geometric approximation method showed the lowest accuracy. The approaches developed herein are timely because the recently increasing number of studies requiring reliable biomass estimates for small invertebrates to explain crucial processes in ecosystems.
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spelling pubmed-58328162018-03-05 Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms Llopis-Belenguer, Cristina Blasco-Costa, Isabel Balbuena, Juan Antonio Sci Rep Article Invertebrate biomass is considered one of the main factors driving processes in ecosystems. It can be measured directly, primarily by weighing individuals, but more often indirect estimators are used. We developed two indirect and non-destructive approaches to estimate biomass of small invertebrates in a simple manner. The first one was based on clay modelling and the second one was based on image analysis implemented with open-source software. Furthermore, we tested the accuracy of the widely used geometric approximation method (third method). We applied these three different methods to three morphologically disparate model species, an acanthocephalan worm, a crustacean and a flatworm. To validate our indirect estimations and to test their accuracy, we weighed specimens of the three species and calculated their tissue densities. Additionally, we propose an uncomplicated technique to estimate thickness of individuals under a microscope, a required measurement for two of the three indirect methods tested. The indirect methods proposed in this paper provided the best approximation to direct measurements. Despite its wide use, the geometric approximation method showed the lowest accuracy. The approaches developed herein are timely because the recently increasing number of studies requiring reliable biomass estimates for small invertebrates to explain crucial processes in ecosystems. Nature Publishing Group UK 2018-03-01 /pmc/articles/PMC5832816/ /pubmed/29497143 http://dx.doi.org/10.1038/s41598-018-22304-x Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Llopis-Belenguer, Cristina
Blasco-Costa, Isabel
Balbuena, Juan Antonio
Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms
title Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms
title_full Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms
title_fullStr Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms
title_full_unstemmed Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms
title_short Evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms
title_sort evaluation of three methods for biomass estimation in small invertebrates, using three large disparate parasite species as model organisms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5832816/
https://www.ncbi.nlm.nih.gov/pubmed/29497143
http://dx.doi.org/10.1038/s41598-018-22304-x
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