Cargando…

Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments

We propose a field procedure for estimating the dry biomass of stream macroinvertebrates. Estimates are calculated using the mean values of the a and b regression coefficients from unpublished data and an extensive review of the relevant literature. The regression equation employed for calculating d...

Descripción completa

Detalles Bibliográficos
Autores principales: Cummins, Kenneth W., Wilzbach, Margaret, Kolouch, Brigitte, Merritt, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955383/
https://www.ncbi.nlm.nih.gov/pubmed/35328929
http://dx.doi.org/10.3390/ijerph19063240
_version_ 1784676322999533568
author Cummins, Kenneth W.
Wilzbach, Margaret
Kolouch, Brigitte
Merritt, Richard
author_facet Cummins, Kenneth W.
Wilzbach, Margaret
Kolouch, Brigitte
Merritt, Richard
author_sort Cummins, Kenneth W.
collection PubMed
description We propose a field procedure for estimating the dry biomass of stream macroinvertebrates. Estimates are calculated using the mean values of the a and b regression coefficients from unpublished data and an extensive review of the relevant literature. The regression equation employed for calculating dry biomass is one that has been extensively used: Y = aX(b), where Y = mg dry mass of an individual macroinvertebrate; X = mm total body length of an individual macroinvertebrate; a = intercept coefficient of the Y on X regression; and b = slope coefficient Y on X. The procedure was developed for use in the field, but dry mass estimates can also be made on preserved specimens. The case is made for presenting stream macroinvertebrate dry biomass data categorized by functional feeding groups (FFGs) and their component higher level taxa. The tables summarize the FFGs and their food resources, mean regression coefficients, dry biomass estimates for FFG-taxa by size and a comparison of their numerical-to-gravimetric surrogate FFG ratios to predict the stream environmental condition. A sizing template for rapidly sorting macroinvertebrates in the field is described. Thresholds for surrogate FFG ratios that directly predict measured stream ecosystem conditions are described.
format Online
Article
Text
id pubmed-8955383
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-89553832022-03-26 Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments Cummins, Kenneth W. Wilzbach, Margaret Kolouch, Brigitte Merritt, Richard Int J Environ Res Public Health Article We propose a field procedure for estimating the dry biomass of stream macroinvertebrates. Estimates are calculated using the mean values of the a and b regression coefficients from unpublished data and an extensive review of the relevant literature. The regression equation employed for calculating dry biomass is one that has been extensively used: Y = aX(b), where Y = mg dry mass of an individual macroinvertebrate; X = mm total body length of an individual macroinvertebrate; a = intercept coefficient of the Y on X regression; and b = slope coefficient Y on X. The procedure was developed for use in the field, but dry mass estimates can also be made on preserved specimens. The case is made for presenting stream macroinvertebrate dry biomass data categorized by functional feeding groups (FFGs) and their component higher level taxa. The tables summarize the FFGs and their food resources, mean regression coefficients, dry biomass estimates for FFG-taxa by size and a comparison of their numerical-to-gravimetric surrogate FFG ratios to predict the stream environmental condition. A sizing template for rapidly sorting macroinvertebrates in the field is described. Thresholds for surrogate FFG ratios that directly predict measured stream ecosystem conditions are described. MDPI 2022-03-09 /pmc/articles/PMC8955383/ /pubmed/35328929 http://dx.doi.org/10.3390/ijerph19063240 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Cummins, Kenneth W.
Wilzbach, Margaret
Kolouch, Brigitte
Merritt, Richard
Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments
title Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments
title_full Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments
title_fullStr Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments
title_full_unstemmed Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments
title_short Estimating Macroinvertebrate Biomass for Stream Ecosystem Assessments
title_sort estimating macroinvertebrate biomass for stream ecosystem assessments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8955383/
https://www.ncbi.nlm.nih.gov/pubmed/35328929
http://dx.doi.org/10.3390/ijerph19063240
work_keys_str_mv AT cumminskennethw estimatingmacroinvertebratebiomassforstreamecosystemassessments
AT wilzbachmargaret estimatingmacroinvertebratebiomassforstreamecosystemassessments
AT kolouchbrigitte estimatingmacroinvertebratebiomassforstreamecosystemassessments
AT merrittrichard estimatingmacroinvertebratebiomassforstreamecosystemassessments