Harmful Algal Bloom Action Plan Lake George
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NETLAKE Toolbox for the Analysis of High-Frequency Data from Lakes
NETLAKE NETLAKE toolbox for the analysis of high-frequency data from lakes Working Group 2: Data analysis and modelling tools October 2016 Suggested citation for the complete set of factsheets: Obrador, B., Jones, I.D. and Jennings, E. (Eds.) NETLAKE toolbox for the analysis of high-frequency data from lakes. Technical report. NETLAKE COST Action ES1201. 60 pp. http://eprints.dkit.ie/id/eprint/530 Editors: Biel Obrador. Department of Ecology, University of Barcelona. Av. Diagonal 645, Barcelona, Spain. [email protected] Ian Jones. Centre for Ecology and Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, United Kingdom. [email protected] Eleanor Jennings. Centre for Freshwater and Environmental Studies, Department of Applied Science, Dundalk Institute of Technology, Dublin Road, Dundalk, Ireland. [email protected] Author affiliations: Rosana Aguilera. Catalan Institute of Water Research, Girona, Spain. Louise Bruce. Aquatic Ecodynamics Research Group, University of Western Australia, Perth, Australia. Jesper Christensen. Institute of Bioscience, Aarhus University, Roskilde, Denmark. Raoul-Marie Couture. Norwegian Institute for Water Research, Norway. Elvira de Eyto. Burrishoole research station, Marine Institute, Ireland. Marieke Frassl. Department of Lake Research, Helmholtz Centre for Environmental Research, UFZ, Magdeburg, Germany. Mark Honti. Budapest University of Technology and Economics, Hungary. Ian Jones. Centre for Ecology and Hydrology, Lancaster Environment Centre, Library Avenue, Bailrigg, Lancaster, United Kingdom. Rafael Marcé. Catalan Institute of Water Research, Girona, Spain. Biel Obrador. Department of Ecology, University of Barcelona, Barcelona, Spain. Dario Omanović. Ruđer Bošković Institute, Zagreb, Croatia. Ilia Ostrovsky. Israel Oceanographic & Limnological Research, Kinneret Limnological Laboratory, P.O.B. 447, Migdal 14950, Israel. Don Pierson. Lake Erken field station, Uppsala University, Sweden. -
Carbon Metabolism and Nutrient Balance in a Hypereutrophic Semi-Intensive fishpond
Knowl. Manag. Aquat. Ecosyst. 2019, 420, 49 Knowledge & © M. Rutegwa et al., Published by EDP Sciences 2019 Management of Aquatic https://doi.org/10.1051/kmae/2019043 Ecosystems Journal fully supported by Agence www.kmae-journal.org française pour la biodiversité RESEARCH PAPER Carbon metabolism and nutrient balance in a hypereutrophic semi-intensive fishpond Marcellin Rutegwa1,*, Jan Potužák1,2, Josef Hejzlar3 and Bořek Drozd1 1 Institute of Aquaculture and Protection of Waters, South Bohemian Research Centre of Aquaculture and Biodiversity of Hydrocenoses, Faculty of Fisheries and Protection of Waters, University of South Bohemia in České Budějovice, 370 05 České Budějovice, Czech Republic 2 Institute of Botany of the Czech Academy of Sciences, Department of Vegetation Ecology, 602 00 Brno, Czech Republic 3 Biology Centre of the Czech Academy of Sciences, Institute of Hydrobiology, 370 05 České Budějovice, Czech Republic Received 3 June 2019 / Accepted 29 October 2019 Abstract – Eutrophication and nutrient pollution is a serious problem in many fish aquaculture ponds, whose causes are often not well documented. The efficiency of using inputs for fish production in a hypereutrophic fishpond (Dehtář), was evaluated using organic carbon (OC), nitrogen (N) and phosphorus (P) balances and measurement of ecosystem metabolism rates in 2015. Primary production and feeds were the main inputs of OC and contributed 82% and 13% to the total OC input, respectively. Feeds and manure were the major inputs of nutrients and contributed 73% and 86% of the total inputs of N and P, respectively. Ecosystem respiration, accumulation in water and accumulation in sediment were the main fates of OC, N and P, respectively. -
Ecological Features and Processes of Lakes and Wetlands
Ecological features and processes of lakes and wetlands Lakes are complex ecosystems defined by all system components affecting surface and ground water gains and losses. This includes the atmosphere, precipitation, geomorphology, soils, plants, and animals within the entire watershed, including the uplands, tributaries, wetlands, and other lakes. Management from a whole watershed perspective is necessary to protect and maintain healthy lake systems. This concept is important for managing the Great Lakes as well as small inland lakes, even those without tributary streams. A good example of the need to manage from a whole watershed perspective is the significant ecological changes that have occurred in the Great Lakes. The Great Lakes are vast in size, and it is hard to imagine that building a small farm or home, digging a channel for shipping, fishing, or building a small dam could affect the entire system. However, the accumulation of numerous human development activities throughout the entire Great Lakes watershed resulted in significant changes to one of the largest freshwater lake systems in the world. The historic organic contamination problems, nutrient problems, and dramatic fisheries changes in our Great Lakes are examples of how cumulative factors within a watershed affect a lake. Habitat refers to an area that provides the necessary resources and conditions for an organism to survive. Because organisms often require different habitat components during various life stages (reproduction, maturation, migration), habitat for a particular species may encompass several cover types, plant communities, or water-depth zones during the organism's life cycle. Moreover, most species of fish and wildlife are part of a complex web of interactions that result in successful feeding, reproduction, and predator avoidance. -
Trophic State and Metabolism in a Southeastern Piedmont Reservoir
TROPHIC STATE AND METABOLISM IN A SOUTHEASTERN PIEDMONT RESERVOIR by Mary Callie Mayhew (Under the direction of Todd C. Rasmussen) Abstract Lake Sidney Lanier is a valuable water resource in the rapidly developing region north of Atlanta, Georgia, USA. The reservoir has been managed by the U.S Army Corps of Engineers for multiple purposes since its completion in 1958. Since approximately 1990, Lake Lanier has been central to series of lawsuits in the “Eastern Water Wars” between Georgia, Alabama and Florida due to its importance as a water-storage facility within the Apalachicola-Chattahoochee-Flint River Basin. Of specific importance is the need to protect lake water quality to satisfy regional water supply demands, as well as for recreational and environmental purposes. Recently, chlorophyll a levels have exceeded state water-quality standards. These excee- dences have prompted the Georgia Environmental Protection Division to develop Total Max- imum Daily Loads for phosphorus in Lake Lanier. While eutrophication in Southeastern Piedmont impoundments is a regional problem, nutrient cycling in these lakes does not appear to behave in a manner consistent with lakes in higher latitudes, and, hence, may not respond to nutrient-abatement strategies developed elsewhere. Although phosphorus loading to Southeastern Piedmont waterbodies is high, soluble reac- tive phosphorus concentrations are generally low and phosphorus exports from the reservoir are only a small fraction of input loads. The prevailing hypothesis is that ferric oxides in the iron-rich, clay soils of the Southeastern Piedmont effectively sequester phosphorus, which then settle into the lake benthos. Yet, seasonal algal blooms suggest the presence of internal cycling driven by uncertain mechanisms. -
Drivers of Ecosystem Metabolism in Restored and Natural Prairie Wetlands
Canadian Journal of Fisheries and Aquatic Sciences Drivers of ecosystem metabolism in restored and natural prairie wetlands Journal: Canadian Journal of Fisheries and Aquatic Sciences Manuscript ID cjfas-2018-0419.R2 Manuscript Type: Article Date Submitted by the 17-Apr-2019 Author: Complete List of Authors: Bortolotti, Lauren; Ducks Unlimited Canada, Institute for Wetland and Waterfowl Research St.Louis, Vincent; University of Alberta, Biological Sciences Vinebrooke,Draft Rolf; University of Alberta, ecosystem metabolism, ecosystem restoration, WETLANDS < Keyword: Environment/Habitat Is the invited manuscript for consideration in a Special Not applicable (regular submission) Issue? : https://mc06.manuscriptcentral.com/cjfas-pubs Page 1 of 49 Canadian Journal of Fisheries and Aquatic Sciences 1 2 3 Drivers of ecosystem metabolism in restored and natural 4 prairie wetlands 5 6 Lauren E. Bortolotti,*† Vincent L. St. Louis, Rolf D. Vinebrooke 7 8 Department of Biological Sciences, University of Alberta, Edmonton, AB T6G 2E9, Canada 9 * Present address: Institute for WetlandDraft and Waterfowl Research, Ducks Unlimited Canada, 10 Stonewall, MB R0C 2Z0, Canada 11 †E-mail: [email protected] Phone:(204)467-3418 12 https://mc06.manuscriptcentral.com/cjfas-pubs Canadian Journal of Fisheries and Aquatic Sciences Page 2 of 49 13 Abstract 14 Elucidating drivers of aquatic ecosystem metabolism is key to forecasting how inland waters will 15 respond to anthropogenic changes. We quantified gross primary production (GPP), respiration 16 (ER), and net ecosystem production (NEP) in a natural and two restored prairie wetlands (one 17 “older” and one “recently” restored), and identified drivers of temporal variation. GPP and ER 18 were highest in the older restored wetland, followed by the natural and recently restored sites. -
Aquatic Microbial Ecology 67:251
Vol. 67: 251–263, 2012 AQUATIC MICROBIAL ECOLOGY Published online November 6 doi: 10.3354/ame01596 Aquat Microb Ecol Rapid regulation of phosphate uptake in freshwater cyanobacterial blooms Luis Aubriot*, Sylvia Bonilla Phytoplankton Ecology and Physiology Group, Sección Limnología, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo 11400, Uruguay ABSTRACT: Cyanobacterial blooms are generally explained by nutrient uptake kinetic constants that may confer competitive capabilities, like high nutrient-uptake rate, affinity, and storage capacity. However, cyanobacteria are capable of flexible physiological responses to environmen- tal nutrient fluctuations through adaptation of their phosphate uptake properties. Growth opti- mization is possible if the physiological reaction time of cyanobacteria (tR) matches the duration of nutrient availability. Here, we investigate the tR of this complex physiological process. We per- formed [32P] uptake experiments with filamentous cyanobacterial blooms. The phytoplankton were subjected to different nutrient exposure times (tE) by varying patterns of phosphate addi- tions. After 15 to 25 min of phosphate tE, the cyanobacteria-dominated phytoplankton began their adaptive response by reducing and finally ceasing uptake activity before exhausting their nutrient uptake capacity. The time of onset of phosphate uptake regulation (in min) is an indicator of tR. Rapid adaptive behaviour may be the initial phase of longer-term nutrient acclimation (hours to days), which results in a higher growth rate. The growth response of bloom-forming cyanobacteria may be more dependent on the ability to optimize the uptake of phosphate during the time span of nutrient fluctuation than on the amount of nutrient taken up per se. Freshwater cyanobacterial blooms may therefore be promoted by their short tR during phosphate fluctuations. -
Nutrient Loads from the Catchment
Chapter 7 Assessing and controlling the risk of cyanobacterial blooms Nutrient loads from the catchment Ingrid Chorus and Matthias Zessner CONTENTS Introduction and general considerations 434 7.1 Determining targets for nutrient concentrations in the waterbody 437 7.2 Determining critical nutrient loads to the waterbody 440 7.3 Identifying key nutrient sources and pathways causing loads 443 7.3.1 Background information 443 7.3.2 Identifying nutrient sources and pathways 446 7.3.3 Nutrient loads from wastewater, stormwater and commercial wastewater 451 7.3.3.1 Sources 452 7.3.3.2 Pathways 453 7.3.3.3 What to look for when compiling an inventory of loads from sewage, stormwater and commercial wastewater sources 454 7.3.4 Nutrient loads from agriculture and other fertilised areas 456 7.3.4.1 Sources 456 7.3.4.2 Pathways 457 7.3.4.3 What to look for when compiling an inventory of loads from agricultural activities 459 7.3.5 Nutrient loads from aquaculture and fisheries 463 7.3.5.1 What to look for when including aquaculture and fisheries in the inventory of activities causing nutrient loads 463 7.4 Approaches to quantifying the relevance of sources and pathways 465 7.4.1 Tier 1: Assessment using emission factors 468 7.4.1.1 Municipalities 468 7.4.1.2 Agriculture 470 7.4.2 Tier 2: Assessment using the Riverine Load Approach 472 7.4.2.1 Flow normalisation to avoid misinterpretation of causalities 474 7.4.2.2 Estimation of diffuse loads 474 7.4.3 Tier 3: Pathway-Oriented Approach 476 433 434 Toxic Cyanobacteria in Water 7.4.4 Tier 4: The Source-Oriented -
Time‐Varying Responses of Lake Metabolism to Light and Temperature
Limnol. Oceanogr. 00, 2019, 1–15 © 2019 Association for the Sciences of Limnology and Oceanography doi: 10.1002/lno.11333 Time-varying responses of lake metabolism to light and temperature Joseph S. Phillips * Department of Integrative Biology, University of Wisconsin-Madison, Madison, Wisconsin Abstract Light is a primary driver of lake ecosystem metabolism, and the dependence of primary production on light is often quantified as a photosynthesis-irradiance or “P-I” curve. The parameters of the P-I curve (e.g., the maxi- mum primary production when light is in excess) can change through time due to a variety of biological factors (e.g., changes in biomass or community composition), which themselves are subject to external drivers (e.g., herbivory or nutrient availability). However, the relative contribution of variation in the P-I curve to over- all ecosystem metabolism is largely unknown. I developed a statistical model of ecosystem metabolism with time-varying parameters governing the P-I curve, while also accounting for the influence of temperature. I parameterized the model with dissolved oxygen time series spanning six summers from Lake Mývatn, a shal- low eutrophic lake in northern Iceland with large temporal variability in ecosystem metabolism. All of the esti- mated parameters of the P-I curve varied substantially through time. The sensitivity of primary production to light under light-limiting conditions was particularly variable (>15-fold) and had a compensatory relationship with ambient light levels. However, the 3.5-fold variation in the maximum potential primary production made the largest contribution to variation in ecosystem metabolism, accounting for around 90% of the variance in net ecosystem production. -
The Metabolism of Aquatic Ecosystems: History, Applications, and Future Challenges
Aquat Sci (2012) 74:15–29 DOI 10.1007/s00027-011-0199-2 Aquatic Sciences OVERVIEW The metabolism of aquatic ecosystems: history, applications, and future challenges Peter A. Staehr • Jeremy M. Testa • W. Michael Kemp • Jon J. Cole • Kaj Sand-Jensen • Stephen V. Smith Received: 18 June 2010 / Accepted: 15 March 2011 / Published online: 30 March 2011 Ó Springer Basel AG 2011 Abstract Measurements of the production and con- and managing aquatic systems. We identify four broad sumption of organic material have been a focus of aquatic research objectives that have motivated ecosystem metab- science for more than 80 years. Over the last century, a olism studies: (1) quantifying magnitude and variability of variety of approaches have been developed and employed metabolic rates for cross-system comparison, (2) estimating for measuring rates of gross primary production (Pg), res- organic matter transfer between adjacent systems or sub- piration (R), and net ecosystem production (Pn = Pg - R) systems, (3) measuring ecosystem-scale responses to within aquatic ecosystems. Here, we reconsider the range of perturbation, both natural and anthropogenic, and (4) approaches and applications for ecosystem metabolism quantifying and calibrating models of biogeochemical measurements, and suggest ways by which such studies can processes and trophic networks. The magnitudes of whole- continue to contribute to aquatic ecology. This paper system gross primary production, respiration and net eco- reviews past and contemporary studies of aquatic ecosys- system production rates vary among aquatic environments tem-level metabolism to identify their role in understanding and are partly constrained by the chosen methodology. We argue that measurements of ecosystem metabolism should Electronic supplementary material The online version of this be a vital component of routine monitoring at larger scales article (doi:10.1007/s00027-011-0199-2) contains supplementary in the aquatic environment using existing flexible, precise, material, which is available to authorized users. -
Longevity and Effectiveness of Aluminum Addition to Reduce Sediment Phosphorus Release and Restore Lake Water Quality
Water Research 97 (2016) 122e132 Contents lists available at ScienceDirect Water Research journal homepage: www.elsevier.com/locate/watres Longevity and effectiveness of aluminum addition to reduce sediment phosphorus release and restore lake water quality * Brian J. Huser a, , Sara Egemose b, Harvey Harper c, Michael Hupfer d, Henning Jensen b, Keith M. Pilgrim e, Kasper Reitzel b, Emil Rydin f, Martyn Futter a a Swedish University of Agricultural Sciences, Department of Aquatic Sciences and Assessment, Box 7050, 75007, Uppsala, Sweden b University of Southern Denmark, Department of Biology, Campusvej 55, DK-5230, Odense M, Denmark c ERD Environmental Research & Design, 3419 Trentwood Blvd., Suite 102, Orlando, FL, USA d Leibniz Institute of Freshwater Ecology and Inland Fisheries, Berlin, Germany e Barr Engineering, 4077 77th Street, Minneapolis, MN, 55304, USA f Erken Laboratory, Dep. of Ecology and Genetics, Uppsala University, Norra Malmavagen€ 45, SE 761 73, Norrtalje,€ Sweden article info abstract Article history: 114 lakes treated with aluminum (Al) salts to reduce internal phosphorus (P) loading were analyzed to Received 3 May 2015 identify factors driving longevity of post-treatment water quality improvements. Lakes varied greatly in Received in revised form morphology, applied Al dose, and other factors that may have affected overall treatment effectiveness. 25 June 2015 Treatment longevity based on declines in epilimnetic total P (TP) concentration averaged 11 years for all Accepted 30 June 2015 lakes (range of 0e45 years). When longevity estimates were used for lakes with improved conditions Available online 8 July 2015 through the end of measurements, average longevity increased to 15 years. Significant differences in treatment longevity between deeper, stratified lakes (mean 21 years) and shallow, polymictic lakes Keywords: Aluminum (mean 5.7 years) were detected, indicating factors related to lake morphology are important for treat- Water management ment success. -
The Influence of Fluvial Wetlands on Metabolism and Dissolved Oxygen Patterns Along a Shallow Sloped River Continuum
University of New Hampshire University of New Hampshire Scholars' Repository Master's Theses and Capstones Student Scholarship Fall 2020 The influence of fluvial wetlands on metabolism and dissolved oxygen patterns along a shallow sloped river continuum Joshua Slocum Cain University of New Hampshire, Durham Follow this and additional works at: https://scholars.unh.edu/thesis Recommended Citation Cain, Joshua Slocum, "The influence of fluvial wetlands on metabolism and dissolved oxygen patterns along a shallow sloped river continuum" (2020). Master's Theses and Capstones. 1379. https://scholars.unh.edu/thesis/1379 This Thesis is brought to you for free and open access by the Student Scholarship at University of New Hampshire Scholars' Repository. It has been accepted for inclusion in Master's Theses and Capstones by an authorized administrator of University of New Hampshire Scholars' Repository. For more information, please contact [email protected]. i The influence of fluvial wetlands on metabolism and dissolved oxygen patterns along a shallow sloped river continuum By Joshua S. Cain BS in Environmental Science, COLSA, 2012 THESIS Submitted to the University of New Hampshire in Partial Fulfillment of the Requirements for the Degree of Master of Science In Natural Resources: Soil and Water Resource Management September 2020 ii This thesis was examined and approved in partial fulfillment of the requirements for the degree of Master of Science in Natural Resources: Soil and Water Resource Management by: Wil Wollheim, Associate Professor, Natural Resources and the Environment Anne Lightbody, Associate Professor, Earth Sciences Ken Sheehan, Postdoctoral Researcher, Water Systems Analysis Group On November 22, 2016 iii TABLE OF CONTENTS ACKNOWLEDGEMENTS………………………………………………… v LIST OF TABLES…………………………………………………………. -
Jenney Kellogg Was Born in Bath, NY in 1981
FACTORS INFLUENCING PARTIAL PRESSURE CARBON DIOXIDE LEVELS IN FLORIDA LAKES: pH, AQUATIC MACROPHYTES, AND GEOLOGY By JENNEY L. KELLOGG A THESIS PRESENTED TO THE GRADUATE SCHOOL OF THE UNIVERSITY OF FLORIDA IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF MASTER OF SCIENCE UNIVERSITY OF FLORIDA 2007 1 © 2007 Jenney L. Kellogg 2 ACKNOWLEDGMENTS Gratitude is expressed to the many people who helped me carry out this project. Special thanks are given to Dr. Carlos Duarte and Dr. Yves Prairie who helped to initiate my project and begin data analysis. Thanks to Dr. Roger Bachmann who helped me with my project in ways too numerous to list. The staff of Florida LAKEWATCH provided guidance on sampling protocol and equipment and helped with the chemical analysis of my samples. Thanks go to Francesco Lazzarino for his help with data entry and analysis and expertise on programming languages. Gratitude is expressed to Christy Horsburgh for her continued support and advice. Thanks are given to Dr. Charles E. Cichra for encouraging my professional growth. Thanks are given to Mark Hoyer for his support and guidance on this project. Gratitude is expressed to my committee members for helping to oversee my project. Finally, thanks are given to Dr. Daniel E. Canfield, Jr., my mentor, advisor and chair for his patience, ingenuity and guidance throughout this project. 3 TABLE OF CONTENTS page ACKNOWLEDGMENTS ...............................................................................................................3 LIST OF TABLES...........................................................................................................................5