3 Biological Monitoring of Aquatic Communities
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Chesapeake Bay Trust Hypoxia Project
Chesapeake Bay dissolved oxygen profiling using a lightweight, low- powered, real-time inductive CTDO2 mooring with sensors at multiple vertical measurement levels Doug Wilson Caribbean Wind LLC Baltimore, MD Darius Miller SoundNine Inc. Kirkland, WA Chesapeake Bay Trust EPA Chesapeake Bay Program Goal Implementation Team Support This project has been funded wholly or in part by the United States Environmental Protection Agency under assistance agreement CB96341401 to the Chesapeake Bay Trust. The contents of this document do not necessarily reflect the views and policies of the Environmental Protection Agency, nor does the EPA endorse trade names or recommend the use of commercial products mentioned in this document. SCOPE 8: “…demonstrate a reliable, cost effective, real-time dissolved oxygen vertical monitoring system for characterizing mainstem Chesapeake Bay hypoxia.” Water quality impairment in the Chesapeake Bay, caused primarily by excessive long-term nutrient input from runoff and groundwater, is characterized by extreme seasonal hypoxia, particularly in the bottom layers of the deeper mainstem (although it is often present elsewhere). In addition to obvious negative impacts on ecosystems where it occurs, hypoxia represents the integrated effect of watershed-wide nutrient pollution, and monitoring the size and location of the hypoxic regions is important to assessing Chesapeake Bay health and restoration progress. Chesapeake Bay Program direct mainstem water quality monitoring has been by necessity widely spaced in time and location, with monthly or bi-monthly single fixed stations separated by several kilometers. The need for continuous, real time, vertically sampled profiles of dissolved oxygen has been long recognized, and improvements in hypoxia modeling and sensor technology make it achievable. -
Charles River Watershed 2002 Biological Assessment
Technical Memorandum TM-72-8 CHARLES RIVER WATERSHED 2002 BIOLOGICAL ASSESSMENT John F. Fiorentino Massachusetts Department of Environmental Protection Division of Watershed Management 7 December 2005 CN 191.0 Charles River Watershed 2002-2006 Water Quality Assessment Report Appendix C C1 72wqar07.doc DWM CN 136.5 CONTENTS Introduction 3 Basin Description 6 Methods 7 Macroinvertebrate Sampling 7 Macroinvertebrate Sample Processing and Analysis 8 Habitat Assessment 9 Quality Control 9 Results and Discussion 10 Summary and Recommendations 26 Literature Cited 28 Appendix – Macroinvertebrate taxa list, RBPIII benthos analysis, Habitat evaluations 31 Tables and Figures Table 1. Macroinvertebrate biomonitoring station locations 4 Table 2. Perceived problems addressed during the 2002 survey 4 Table 3. Summary of possible causes of benthos impairment and recommended actions 27 Figure 1. Map showing biomonitoring station locations 5 Figure 2. DEP biologist conducting macroinvertebrate “kick” sampling 7 Figure 3. Schematic of the RBPIII analysis as it relates to Tiered Aquatic Life Use 26 Charles River Watershed 2002-2006 Water Quality Assessment Report Appendix C C2 72wqar07.doc DWM CN 136.5 INTRODUCTION Biological monitoring is a useful means of detecting anthropogenic impacts to the aquatic community. Resident biota (e.g., benthic macroinvertebrates, fish, periphyton) in a water body are natural monitors of environmental quality and can reveal the effects of episodic and cumulative pollution and habitat alteration (Barbour et al. 1999, Barbour et al. 1995). Biological surveys and assessments are the primary approaches to biomonitoring. As part of the Massachusetts Department of Environmental Protection/ Division of Watershed Management’s (MassDEP/DWM) 2002 Charles River watershed assessments, aquatic benthic macroinvertebrate biomonitoring was conducted to evaluate the biological health of various streams within the watershed. -
Manual for Phytoplankton Sampling and Analysis in the Black Sea
Manual for Phytoplankton Sampling and Analysis in the Black Sea Dr. Snejana Moncheva Dr. Bill Parr Institute of Oceanology, Bulgarian UNDP-GEF Black Sea Ecosystem Academy of Sciences, Recovery Project Varna, 9000, Dolmabahce Sarayi, II. Hareket P.O.Box 152 Kosku 80680 Besiktas, Bulgaria Istanbul - TURKEY Updated June 2010 2 Table of Contents 1. INTRODUCTION........................................................................................................ 5 1.1 Basic documents used............................................................................................... 1.2 Phytoplankton – definition and rationale .............................................................. 1.3 The main objectives of phytoplankton community analysis ........................... 1.4 Phytoplankton communities in the Black Sea ..................................................... 2. SAMPLING ................................................................................................................. 9 2.1 Site selection................................................................................................................. 2.2 Depth ............................................................................................................................... 2.3 Frequency and seasonality ....................................................................................... 2.4 Algal Blooms................................................................................................................. 2.4.1 Phytoplankton bloom detection -
Advances in the Monitoring of Algal Blooms by Remote Sensing: a Bibliometric Analysis
applied sciences Article Advances in the Monitoring of Algal Blooms by Remote Sensing: A Bibliometric Analysis Maria-Teresa Sebastiá-Frasquet 1,* , Jesús-A Aguilar-Maldonado 1 , Iván Herrero-Durá 2 , Eduardo Santamaría-del-Ángel 3 , Sergio Morell-Monzó 1 and Javier Estornell 4 1 Instituto de Investigación para la Gestión Integrada de Zonas Costeras, Universitat Politècnica de València, C/Paraninfo, 1, 46730 Grau de Gandia, Spain; [email protected] (J.-A.A.-M.); [email protected] (S.M.-M.) 2 KFB Acoustics Sp. z o. o. Mydlana 7, 51-502 Wrocław, Poland; [email protected] 3 Facultad de Ciencias Marinas, Universidad Autónoma de Baja California, Ensenada 22860, Mexico; [email protected] 4 Geo-Environmental Cartography and Remote Sensing Group, Universitat Politècnica de València, Camí de Vera s/n, 46022 Valencia, Spain; [email protected] * Correspondence: [email protected] Received: 20 September 2020; Accepted: 4 November 2020; Published: 6 November 2020 Abstract: Since remote sensing of ocean colour began in 1978, several ocean-colour sensors have been launched to measure ocean properties. These measures have been applied to study water quality, and they specifically can be used to study algal blooms. Blooms are a natural phenomenon that, due to anthropogenic activities, appear to have increased in frequency, intensity, and geographic distribution. This paper aims to provide a systematic analysis of research on remote sensing of algal blooms during 1999–2019 via bibliometric technique. This study aims to reveal the limitations of current studies to analyse climatic variability effect. A total of 1292 peer-reviewed articles published between January 1999 and December 2019 were collected. -
Pollution Biomarkers in the Framework of Marine Biodiversity Conservation: State of Art and Perspectives
water Review Pollution Biomarkers in the Framework of Marine Biodiversity Conservation: State of Art and Perspectives Maria Giulia Lionetto * , Roberto Caricato and Maria Elena Giordano Department of Environmental and Biological Sciences and Technologies (DISTEBA), University of Salento, 73100 Lecce, Italy; [email protected] (R.C.); [email protected] (M.E.G.) * Correspondence: [email protected] Abstract: Marine biodiversity is threatened by several anthropogenic pressures. Pollution deriving from the discharge of chemical contaminants in the sea represents one of the main threats to the marine environment, influencing the health of organisms, their ability to recover their homeostatic status, and in turn endangering biodiversity. Molecular and cellular responses to chemical pollutants, known as biomarkers, are effect-based methodologies useful for detecting exposure and for assessing the effects of pollutants on biota in environmental monitoring. The present review analyzes and discusses the recent literature on the use of biomarkers in the framework of biodiversity conservation. The study shows that pollution biomarkers can be useful tools for monitoring and assessment of pollution threat to marine biodiversity, both in the environmental quality monitoring of protected areas and the assessment of the health status of species at risk. Moreover, key areas of the research that need further development are suggested, such as the development of omics-based biomarkers specifically addressed to conservation purposes and their validation in the field, the extension of the biomarker study to a wider number of endangered species, and the development of organic Citation: Lionetto, M.G.; Caricato, R.; guidelines for the application of the biomarker approach in support to conservation policies and Giordano, M.E. -
4 Study Design for Monitoring Wetlands United States Environmental Office of Water EPA 822-R-02-015 Protection Agency Washington, DC 20460 March 2002
United States Environmental Office of Water EPA 822-R-02-015 Protection Agency Washington, DC 20460 March 2002 Methods for evaluating wetland condition #4 Study Design for Monitoring Wetlands United States Environmental Office of Water EPA 822-R-02-015 Protection Agency Washington, DC 20460 March 2002 Methods for evaluating wetland condition #4 Study Design for Monitoring Wetlands Principal Contributor Warnell School of Forest Resources, University of Georgia Amanda K. Parker Prepared jointly by: The U.S. Environmental Protection Agency Health and Ecological Criteria Division (Office of Science and Technology) and Wetlands Division (Office of Wetlands, Oceans, and Watersheds) United States Environmental Office of Water EPA 822-R-02-015 Protection Agency Washington, DC 20460 March 2002 Notice The material in this document has been subjected to U.S. Environmental Protection Agency (EPA) technical review and has been approved for publication as an EPA document. The information contained herein is offered to the reader as a review of the “state of the science” concerning wetland bioassessment and nutrient enrichment and is not intended to be prescriptive guidance or firm advice. Mention of trade names, products or services does not convey, and should not be interpreted as conveying official EPA approval, endorsement, or recommendation. Appropriate Citation U.S. EPA. 2002. Methods for Evaluating Wetland Condition: Study Design for Monitoring Wetlands. Office of Water, U.S. Environmental Protection Agency, Washington, DC. EPA-822-R-02-015. This entire document can be downloaded from the following U.S. EPA websites: http://www.epa.gov/ost/standards http://www.epa.gov/owow/wetlands/bawwg ii Contents Foreword .................................................................................................................. -
Implementing and Innovating Marine Monitoring Approaches for Assessing Marine Environmental Status
Implementing and Innovating Marine Monitoring Approaches for Assessing Marine Environmental Status. Roberto Danovaro, Laura Carugati, Berzano Marco, Abigail E. Cahill, Susana de Carvalho Spinola, Anne Chenuil, Cinzia Corinaldesi, Cristina Sonia, Romain David, Antonio Dell’Anno, et al. To cite this version: Roberto Danovaro, Laura Carugati, Berzano Marco, Abigail E. Cahill, Susana de Carvalho Spinola, et al.. Implementing and Innovating Marine Monitoring Approaches for Assessing Marine Environmental Status.. Frontiers in Marine Science, Frontiers Media, 2016, 3, pp.213. 10.3389/fmars.2016.00213. hal-01448726 HAL Id: hal-01448726 https://hal.archives-ouvertes.fr/hal-01448726 Submitted on 28 Jan 2017 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Author’s Proof Carefully read the entire proof and mark all corrections in the appropriate place, using the Adobe Reader commenting tools (Adobe Help). Do not forget to reply to the queries. We do not accept corrections in the form of edited manuscripts. In order to ensure the timely publication of your article, please submit the corrections within 48 hours. If you have any questions, please contact science.production.offi[email protected]. Author Queries Form Q1 We have ignored the below author comment in line no. -
Biological and Water Quality Study of Mill Creek and Tributaries 2011
Biological and Water Quality Study of Mill Creek and Tributaries 2011 Mill Creek downstream from Hopple Street MSD Agreement 15x11039 Project Number 10180900 MBI/2012‐6‐10 Mill Creek Bioassessment 2011 September 15, 2012 2011 Biological and Water Quality Study of Mill Creek and Tributaries Hamilton County, Ohio Technical Report MBI/2012‐6‐10 MSD Project Number 10180900 September 15, 2012 Prepared for: Metropolitan Sewer District of Greater Cincinnati 1081 Woodrow Street Cincinnati, OH 45204 Submitted by: Midwest Biodiversity Institute P.O. Box 21561 Columbus, Ohio 43221‐0561 Chris O. Yoder, Research Director [email protected] i MBI/2012‐6‐10 Mill Creek Bioassessment 2011 September 15, 2012 Table of Contents List of Tables ................................................................................................................................... iii List of Figures .................................................................................................................................. iv Acknowledgements ....................................................................................................................... vii Glossary of Terms ......................................................................................................................... viii List of Acronyms ........................................................................................................................... xvi FOREWORD ................................................................................................................................. -
Surface and Ground Waters Monitoring Strategy
Surface and Ground Waters Monitoring Strategy Little Miami R. Near Morrow @ Stubbs Mill Rd DST Division of Surface Water April 2021 AMS/2021‐TECHN‐1 Surface and Ground Waters Monitoring Strategy April 2021 Table of Contents Introduction ............................................................................................................................................................................................... 1 Ohio’s Water Resources ........................................................................................................................................................................ 1 I. U.S. EPA Water Monitoring Strategy Framework ................................................................................................................... 4 II. Ohio EPA Water Monitoring Programs ..................................................................................................................................... 4 A. Monitoring Program Strategy ................................................................................................................................................... 4 A.1 Headwaters, Streams and Rivers ..................................................................................................................................... 5 A.2 Inland Lakes and Reservoirs ........................................................................................................................................... 12 A.3 Lake Erie – Rivers, Harbors, Shoreline and Open Waters .................................................................................. -
A Comparative Study of Four Indexes Based on Zooplankton As Trophic State Indicators in Reservoirs
Limnetica, 38(1): 291-302 (2019). DOI: 10.23818/limn.38.06 © Asociación Ibérica de Limnología, Madrid. Spain. ISSN: 0213-8409 A comparative study of four indexes based on zooplankton as trophic state indicators in reservoirs Daniel Montagud1,*, Juan M. Soria1, Xavier Soria-Perpiñà2, Teresa Alfonso1 and Eduardo Vicente1 1 Cavanilles Institute of Biodiversity and Evolutionary Biology (ICBIBE). University of Valencia, 46980-Pater- na, Spain. 2 Image Processing Laboratory. University of Valencia, 46980-Paterna, Spain. * Corresponding author: [email protected] Received: 15/02/18 Accepted: 25/06/18 ABSTRACT A comparative study of four indices based on zooplankton as trophic state indicators in reservoirs This study aims to examine four recently conducted trophic state indices that are based on the density of zooplankton and designed for estimating the trophic state of inland waters. These indices include two with formulations based on quotients or ratios, the Rcla and the Rzoo-chla, which were proposed and validated in the European project ECOFRAME (Moss et al., 2003), and two with formulations based on the incorporation of a statistical tool comprising canonical correspondences analysis (CCA), the Wetland Zooplankton Index proposed in 2002 by researchers from McMaster University of Ontario (Lougheed & Chow-Fraser, 2002) and the Zooplankton Reservoir Trophic Index, an index recently designed by the Ebro Basin Authority and on which this manuscript is the first article. These indices were studied and applied in 53 heterogeneous reservoirs of the Ebro Basin. In addition, all were subsequently validated by Carlson’s Trophic State Index based on the amount of chlorophyll a (Carlson, 1977), with significant differences found between them. -
Trophic State Index Estimation from Remote Sensing of Lake Chapala, México
REVISTA MEXICANA DE CIENCIAS GEOLÓGICAS Trophic State Index estimation from remote sensingv. of 33, lake núm. Chapala, 2, 2016, p. México 183-191 Trophic State Index estimation from remote sensing of lake Chapala, México Alejandra-Selene Membrillo-Abad1,*, Marco-Antonio Torres-Vera2, Javier Alcocer3, Rosa Ma. Prol-Ledesma4, Luis A. Oseguera3, and Juan Ramón Ruiz-Armenta4 1 Posgrado en Ciencias de la Tierra, Instituto de Geofísica, Universidad Nacional Autónoma de México, Ciudad Universitaria, C.P. 04510, Ciudad de México, Mexico. 2 Asociación para Evitar la Ceguera en México, Vicente García Torres 46, San Lucas Coyoacán, C.P. 04030, Ciudad de México, Mexico. 3 Facultad de Estudios Superiores-Iztacala, Universidad Nacional Autónoma de México, Av. de los Barrios No. 1, Los Reyes Iztacala, 54090 Tlalnepantla, Estado de México, Mexico. 4 Instituto de Geofísica, Universidad Nacional Autónoma de México, Ciudad Universitaria, C.P. 04510, Ciudad de México, Mexico. * [email protected] ABSTRACT áreas urbanas, agricultura y ganadera. Mediante técnicas de percepción remota se estimó el Índice de Estado Trófico (IET) del lago, como un The Trophic State Index (TSI) was estimated for Lake Chapala índice de calidad de agua. Los parámetros de clorofila_a y Profundidad by remote sensing techniques as an indicator of water quality. Our de disco de Secchi (que están relacionados con el estado trófico), fueron results show that multispectral satellite images can be successfully monitoreados mediante el uso de imágenes satelitales multiespectrales, used to monitor surface water parameters related to trophic state con base en el aumento en los valores de turbidez y concentración de (i.e., chlorophyll-a and Secchi disc depth). -
Environmental Monitoring and Assessment Program-Surface Waters
Environmental Monitoring and Assessment Program- Surface Waters: Field Operations and Methods for Measuring the Ecological Condition of Non-wadeable Rivers And Streams Edited by James M. Lazorchak1, Brian H. Hill1, Daniel K. Averill2, David V. Peck3, and Donald J. Klemm1 1U.S. Environmental Protection Agency Ecosystems Research Branch Ecological Exposure Research Division National Exposure Research Laboratory Cincinnati, OH 45268 2Dynamac International Corp. 200 SW 35th St. Corvallis, OR 97333 3U.S. Environmental Protection Agency Regional Ecology Branch Western Ecology Division National Health and Environmental Effects Research Laboratory Corvallis, OR 97333 i Notice This research described in this report has been funded wholly or in part by the U.S. Environmental Protection Agency. This document has been prepared at the EPA National Exposure Research Labora- tory (Ecological Exposure Research Division, Cincinnati, Ohio) and the National Health and Environmental Effects Research Laboratory (Western Ecology Division, Corvallis, Oregon), under the following contracts and cooperative agreements: Contract 68-C6-0006 to Dynamac International, Inc. Contract 68-W5-0065 to OAO, Inc. Cooperative Agreement CR824682 to Oregon State University This work is in support of the Environmental Monitoring and As- sessment Program (EMAP). Mention of trade names or commercial products does not constitute endorsement or recommendation for use. The correct citation for this document is: Lazorchak, J.M., Hill, B.H., Averill, D.K., D.V. Peck, and D.J. Klemm (editors). 2000. Environmental Monitoring and As- sessment Program -Surface Waters: Field Operations and Methods for Measuring the Ecological Condition of Non-Wade- able Rivers and Streams U.S. Environmental Protection Agency, Cincinnati OH. ii Section authors are listed below.