Calculation of the Indiana Trophic State Index (ITSI) for Lakes
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Mechanisms Contributing to the Deep Chlorophyll Maximum in Lake Superior
Michigan Technological University Digital Commons @ Michigan Tech Dissertations, Master's Theses and Master's Dissertations, Master's Theses and Master's Reports - Open Reports 2011 Mechanisms contributing to the deep chlorophyll maximum in Lake Superior Marcel L. Dijkstra Michigan Technological University Follow this and additional works at: https://digitalcommons.mtu.edu/etds Part of the Civil and Environmental Engineering Commons Copyright 2011 Marcel L. Dijkstra Recommended Citation Dijkstra, Marcel L., "Mechanisms contributing to the deep chlorophyll maximum in Lake Superior", Master's Thesis, Michigan Technological University, 2011. https://doi.org/10.37099/mtu.dc.etds/231 Follow this and additional works at: https://digitalcommons.mtu.edu/etds Part of the Civil and Environmental Engineering Commons MECHANISMS CONTRIBUTING TO THE DEEP CHLOROPHYLL MAXIMUM IN LAKE SUPERIOR By Marcel L. Dijkstra A THESIS Submitted in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE (Environmental Engineering) MICHIGAN TECHNOLOGICAL UNIVERSITY 2011 © 2011 Marcel L. Dijkstra This thesis, “Mechanisms Contributing to the Deep Chlorophyll Maximum in Lake Superior,” is hereby approved in partial fulfillment of the requirements for the Degree of MASTER OF SCIENCE IN ENVIRONMENTAL ENGINEERING. Department of Civil and Environmental Engineering Signatures: Thesis Advisor Dr. Martin Auer Department Chair Dr. David Hand Date Contents List of Figures ...................................................................................................... -
Glossary of Terms Used in Lake Almanor Water Quality Reports
Glossary of Terms Used in Lake Almanor Water Quality Reports Algae. Algae (the plural form of alga) are one-celled plants that do not have a central vascular system for respiration and nutrient flow. Usually algae are very small, microscopic size. However, some are much larger, such a sea lettuce, but are still algae because each cell can survive on its own and there is no central vascular system. Various estimates indicate there are over 70,000 species of algae that inhabit fresh water. “Blue green algae”. These are more correctly Cyanobacteria, and not algae. The chlorophyll in each cell is spread throughout the entire cell. This contrasts with a true algae cell which has a firmer wall, like a pea, and the chlorophyll is in sacks called chloroplasts. Most of the harmful algae bloom (HAB) problems in US lakes are caused by only about 30 species of cyanobacteria. Cyanobacteria are found in many lakes and can destroy a lake's utility by producing potent toxins (cyanotoxins), taste, and odor in the lake water. The toxins can kill or harm humans that contact the lake water. Anoxic. Anoxic water has little or no measurable dissolved oxygen. Bloom. A "bloom" usually refers to excessive algal growth. Cladocera. Relatively large members of the zooplankton, such as Daphnia (water fleas), that are primarily filter feeders that eat algae and other phytoplankton. Coldwater Fishery. Waters in which the maximum mean monthly temperature generally does not exceed a certain value and, when other ecological factors are favorable, are capable of supporting year-round populations of cold water aquatic life, such as trout. -
Freshwater Ecosystems and Biodiversity
Network of Conservation Educators & Practitioners Freshwater Ecosystems and Biodiversity Author(s): Nathaniel P. Hitt, Lisa K. Bonneau, Kunjuraman V. Jayachandran, and Michael P. Marchetti Source: Lessons in Conservation, Vol. 5, pp. 5-16 Published by: Network of Conservation Educators and Practitioners, Center for Biodiversity and Conservation, American Museum of Natural History Stable URL: ncep.amnh.org/linc/ This article is featured in Lessons in Conservation, the official journal of the Network of Conservation Educators and Practitioners (NCEP). NCEP is a collaborative project of the American Museum of Natural History’s Center for Biodiversity and Conservation (CBC) and a number of institutions and individuals around the world. Lessons in Conservation is designed to introduce NCEP teaching and learning resources (or “modules”) to a broad audience. NCEP modules are designed for undergraduate and professional level education. These modules—and many more on a variety of conservation topics—are available for free download at our website, ncep.amnh.org. To learn more about NCEP, visit our website: ncep.amnh.org. All reproduction or distribution must provide full citation of the original work and provide a copyright notice as follows: “Copyright 2015, by the authors of the material and the Center for Biodiversity and Conservation of the American Museum of Natural History. All rights reserved.” Illustrations obtained from the American Museum of Natural History’s library: images.library.amnh.org/digital/ SYNTHESIS 5 Freshwater Ecosystems and Biodiversity Nathaniel P. Hitt1, Lisa K. Bonneau2, Kunjuraman V. Jayachandran3, and Michael P. Marchetti4 1U.S. Geological Survey, Leetown Science Center, USA, 2Metropolitan Community College-Blue River, USA, 3Kerala Agricultural University, India, 4School of Science, St. -
Pond and Lake Ecosystems a Pond Or Lake Ecosystem Includes Biotic
Pond and Lake Ecosystems A pond or lake ecosystem includes biotic (living) plants, animals and micro-organisms, as well as abiotic (nonliving) physical and chemical interactions. Pond and lake ecosystems are a prime example of lentic ecosystems. Lentic refers to stationary or relatively still water, from the Latin lentus, which means sluggish. A typical lake has distinct zones of biological communities linked to the physical structure of the lake. (Figure below) The littoral zone is the near shore area where sunlight penetrates all the way to the sediment and allows aquatic plants (macrophytes) to grow. Light levels of about 1% or less of surface values usually define this depth. The 1% light level also defines the euphotic zone of the lake, which is the layer from the surface down to the depth where light levels become too low for photosynthesizers. In most lakes, the sunlit euphotic zone occurs within the epilimnion. However, in unusually transparent lakes, photosynthesis may occur well below the thermocline into the perennially cold hypolimnion. For example, in western Lake Superior near Duluth, MN, summertime algal photosynthesis and growth can persist to depths of at least 25 meters, while the mixed layer, or epilimnion, only extends down to about 10 meters. Ultra-oligotrophic Lake Tahoe, CA/NV, is so transparent that algal growth historically extended to over 100 meters, though its mixed layer only extends to about 10 meters in summer. Unfortunately, inadequate management of the Lake Tahoe basin since about 1960 has led to a significant loss of transparency due to increased algal growth and increased sediment inputs from stream and shoreline erosion. -
Estimates of Hypolimnetic Oxygen Deficits in Ponds
Aquacullure and Fisheries Management 1989, 20, 167-172 Estimates of hypolimnetic oxygen deficits in ponds W. Y. B. CHANG Center for Great Lakes and Aquatic Sciences, University of Michigan, Ann Arbor, Michigan, USA Abstract. Shallow tropical integrated culture ponds in the Pearl River Delta. China, have been found to stratify almost daily, with high organic loadings and dense algal growth. The dissolved oxygen (DO) concentration is super-saturated in the epilimnion and is under 2 mg/l in the hypolimnion (>lm). The compensation depth corresponds to twice the Secchi disk depth ranging from 50 to 80cm. As a result, little or no net oxygen is produced in the hypolimnion (> 1 m). The low DO concentration in the hypolimnion causes organic materials, such as unused organic wastes and senescent algae cells, to be incompletely oxidized, since the rate of oxygen consumption by oxidable matter in water is dependent on the dissolved oxygen concentration in water. This material becomes the source of hypolimnetic oxygen deficits (HOD) which can drive whole pond DO to a dangerously low level, should sudden destratification occur. An improved estimate of hypolimnetic oxygen deficits is introduced in this article, and the advantages of this method are discussed. Introduction Oxygen is an important parameter in fish culture, and adequate levels of dissolved oxygen (DO) are essential for maintaining optimum fish growth. Inadequate dissolved oxygen and poor water quality are frequently found in ponds receiving organic wastes and can lead to many serious problems for fish culture in ponds. Problems of low dissolved oxygen are particularly prevalent in ponds during the night and early morning when there are high densities of fish and large additions of organic wastes and feeds (Schroeder 1974; Boyd 1982; Chang 1986). -
Bacterial Production and Respiration
Organic matter production % 0 Dissolved Particulate 5 > Organic Organic Matter Matter Heterotrophic Bacterial Grazing Growth ~1-10% of net organic DOM does not matter What happens to the 90-99% of sink, but can be production is physically exported to organic matter production that does deep sea not get exported as particles? transported Export •Labile DOC turnover over time scales of hours to days. •Semi-labile DOC turnover on time scales of weeks to months. •Refractory DOC cycles over on time scales ranging from decadal to multi- decadal…perhaps longer •So what consumes labile and semi-labile DOC? How much carbon passes through the microbial loop? Phytoplankton Heterotrophic bacteria ?? Dissolved organic Herbivores ?? matter Higher trophic levels Protozoa (zooplankton, fish, etc.) ?? • Very difficult to directly measure the flux of carbon from primary producers into the microbial loop. – The microbial loop is mostly run on labile (recently produced organic matter) - - very low concentrations (nM) turning over rapidly against a high background pool (µM). – Unclear exactly which types of organic compounds support bacterial growth. Bacterial Production •Step 1: Determine how much carbon is consumed by bacteria for production of new biomass. •Bacterial production (BP) is the rate that bacterial biomass is created. It represents the amount of Heterotrophic material that is transformed from a nonliving pool bacteria (DOC) to a living pool (bacterial biomass). •Mathematically P = µB ?? µ = specific growth rate (time-1) B = bacterial biomass (mg C L-1) P= bacterial production (mg C L-1 d-1) Dissolved organic •Note that µ = P/B matter •Thus, P has units of mg C L-1 d-1 Bacterial production provides one measurement of carbon flow into the microbial loop How doe we measure bacterial production? Production (∆ biomass/time) (mg C L-1 d-1) • 3H-thymidine • 3H or 14C-leucine Note: these are NOT direct measures of biomass production (i.e. -
Microbial Loop' in Stratified Systems
MARINE ECOLOGY PROGRESS SERIES Vol. 59: 1-17, 1990 Published January 11 Mar. Ecol. Prog. Ser. 1 A steady-state analysis of the 'microbial loop' in stratified systems Arnold H. Taylor, Ian Joint Plymouth Marine Laboratory, Prospect Place, West Hoe, Plymouth PLl 3DH, United Kingdom ABSTRACT. Steady state solutions are presented for a simple model of the surface mixed layer, which contains the components of the 'microbial loop', namely phytoplankton, picophytoplankton, bacterio- plankton, microzooplankton, dissolved organic carbon, detritus, nitrate and ammonia. This system is assumed to be in equilibrium with the larger grazers present at any time, which are represented as an external mortality function. The model also allows for dissolved organic nitrogen consumption by bacteria, and self-grazing and mixotrophy of the microzooplankton. The model steady states are always stable. The solution shows a number of general properties; for example, biomass of each individual component depends only on total nitrogen concentration below the mixed layer, not whether the nitrogen is in the form of nitrate or ammonia. Standing stocks and production rates from the model are compared with summer observations from the Celtic Sea and Porcupine Sea Bight. The agreement is good and suggests that the system is often not far from equilibrium. A sensitivity analysis of the model is included. The effect of varying the mixing across the pycnocline is investigated; more intense mixing results in the large phytoplankton population increasing at the expense of picophytoplankton, micro- zooplankton and DOC. The change from phytoplankton to picophytoplankton dominance at low mixing occurs even though the same physiological parameters are used for both size fractions. -
Variability in Epilimnion Depth Estimations in Lakes Harriet L
https://doi.org/10.5194/hess-2020-222 Preprint. Discussion started: 10 June 2020 c Author(s) 2020. CC BY 4.0 License. Variability in epilimnion depth estimations in lakes Harriet L. Wilson1, Ana I. Ayala2, Ian D. Jones3, Alec Rolston4, Don Pierson2, Elvira de Eyto5, Hans- Peter Grossart6, Marie-Elodie Perga7, R. Iestyn Woolway1, Eleanor Jennings1 5 1Center for Freshwater and Environmental Studies, Dundalk Institute of Technology, Dundalk, Ireland 2Department of Ecology and Genetics, Limnology, Uppsala University, Uppsala, Sweden 3Biological and Environmental Sciences, Faculty of Natural Sciences, University of Stirling, Stirling, UK 4An Fóram Uisce, National Water Forum, Ireland 5Marine Institute, Furnace, Newport, Co. Mayo, Ireland 10 6Institute for Biochemistry and Biology, Potsdam University, Potsdam, Germany 7University of Lausanne, Faculty of Geoscience and Environment, CH 1015 Lausanne, Switzerland Correspondence to: Harriet L. Wilson ([email protected]) 15 Abstract. The “epilimnion” is the surface layer of a lake typically characterised as well-mixed and is decoupled from the “metalimnion” due to a rapid change in density. The concept of the epilimnion, and more widely, the three-layered structure of a stratified lake, is fundamental in limnology and calculating the depth of the epilimnion is essential to understanding many physical and ecological lake processes. Despite the ubiquity of the term, however, there is no objective or generic approach for defining the epilimnion and a diverse number of approaches prevail in the literature. Given the increasing 20 availability of water temperature and density profile data from lakes with a high spatio-temporal resolution, automated calculations, using such data, are particularly common, and have vast potential for use with evolving long-term, globally measured and modelled datasets. -
Trophic Control Changes with Season and Nutrient Loading in Lakes
UC Irvine UC Irvine Previously Published Works Title Trophic control changes with season and nutrient loading in lakes. Permalink https://escholarship.org/uc/item/90c25815 Journal Ecology letters, 23(8) ISSN 1461-023X Authors Rogers, Tanya L Munch, Stephan B Stewart, Simon D et al. Publication Date 2020-08-01 DOI 10.1111/ele.13532 Peer reviewed eScholarship.org Powered by the California Digital Library University of California Ecology Letters, (2020) 23: 1287–1297 doi: 10.1111/ele.13532 LETTER Trophic control changes with season and nutrient loading in lakes Abstract Tanya L. Rogers,1 Experiments have revealed much about top-down and bottom-up control in ecosystems, but Stephan B. Munch,1 manipulative experiments are limited in spatial and temporal scale. To obtain a more nuanced Simon D. Stewart,2 understanding of trophic control over large scales, we explored long-term time-series data from 13 Eric P. Palkovacs,3 globally distributed lakes and used empirical dynamic modelling to quantify interaction strengths Alfredo Giron-Nava,4 between zooplankton and phytoplankton over time within and across lakes. Across all lakes, top- Shin-ichiro S. Matsuzaki5 and down effects were associated with nutrients, switching from negative in mesotrophic lakes to posi- 3,6 tive in oligotrophic lakes. This result suggests that zooplankton nutrient recycling exceeds grazing Celia C. Symons * pressure in nutrient-limited systems. Within individual lakes, results were consistent with a ‘sea- The peer review history for this arti- sonal reset’ hypothesis in which top-down and bottom-up interactions varied seasonally and were cle is available at https://publons.c both strongest at the beginning of the growing season. -
Assessing the Water Quality of Lake Hawassa Ethiopia—Trophic State and Suitability for Anthropogenic Uses—Applying Common Water Quality Indices
International Journal of Environmental Research and Public Health Article Assessing the Water Quality of Lake Hawassa Ethiopia—Trophic State and Suitability for Anthropogenic Uses—Applying Common Water Quality Indices Semaria Moga Lencha 1,2,* , Jens Tränckner 1 and Mihret Dananto 2 1 Faculty of Agriculture and Environmental Sciences, University of Rostock, 18051 Rostock, Germany; [email protected] 2 Faculty of Biosystems and Water Resource Engineering, Institute of Technology, Hawassa University, Hawassa P.O. Box 05, Ethiopia; [email protected] * Correspondence: [email protected]; Tel.: +491-521-121-2094 Abstract: The rapid growth of urbanization, industrialization and poor wastewater management practices have led to an intense water quality impediment in Lake Hawassa Watershed. This study has intended to engage the different water quality indices to categorize the suitability of the water quality of Lake Hawassa Watershed for anthropogenic uses and identify the trophic state of Lake Hawassa. Analysis of physicochemical water quality parameters at selected sites and periods was conducted throughout May 2020 to January 2021 to assess the present status of the Lake Watershed. In total, 19 monitoring sites and 21 physicochemical parameters were selected and analyzed in a laboratory. The Canadian council of ministries of the environment (CCME WQI) and weighted Citation: Lencha, S.M.; Tränckner, J.; arithmetic (WA WQI) water quality indices have been used to cluster the water quality of Lake Dananto, M. Assessing the Water Hawassa Watershed and the Carlson trophic state index (TSI) has been employed to identify the Quality of Lake Hawassa Ethiopia— trophic state of Lake Hawassa. The water quality is generally categorized as unsuitable for drinking, Trophic State and Suitability for aquatic life and recreational purposes and it is excellent to unsuitable for irrigation depending on Anthropogenic Uses—Applying the sampling location and the applied indices. -
Indirect Consequences of Hypolimnetic Hypoxia on Zooplankton Growth in a Large Eutrophic Lake
Vol. 16: 217–227, 2012 AQUATIC BIOLOGY Published September 5 doi: 10.3354/ab00442 Aquat Biol Indirect consequences of hypolimnetic hypoxia on zooplankton growth in a large eutrophic lake Daisuke Goto1,8,*, Kara Lindelof2,3, David L. Fanslow4, Stuart A. Ludsin4,5, Steven A. Pothoven4, James J. Roberts2,6, Henry A. Vanderploeg4, Alan E. Wilson2,7, Tomas O. Höök1,2 1Department of Forestry and Natural Resources, Purdue University, West Lafayette, Indiana 47907, USA 2Cooperative Institute for Limnology and Ecosystems Research, University of Michigan, Ann Arbor, Michigan 48108, USA 3Department of Environmental Sciences, University of Toledo, Toledo, Ohio 43606, USA 4Great Lakes Environmental Research Laboratory, National Oceanic and Atmospheric Administration, Ann Arbor, Michigan 48108, USA 5Aquatic Ecology Laboratory, Department of Evolution, Ecology and Organismal Biology, The Ohio State University, Columbus, Ohio 43212, USA 6Colorado State University, Department of Fish, Wildlife and Conservation Biology, Fort Collins, Colorado 80523, USA 7Department of Fisheries and Allied Aquacultures, Auburn University, Auburn, Alabama 36849, USA 8School of Biological Sciences, University of Nebraska Lincoln, Lincoln, Nebraska 68588, USA ABSTRACT: Diel vertical migration (DVM) of some zooplankters in eutrophic lakes is often com- pressed during peak hypoxia. To better understand the indirect consequences of seasonal hypolimnetic hypoxia, we integrated laboratory-based experimental and field-based observa- tional approaches to quantify how compressed DVM can affect growth of a cladoceran, Daphnia mendotae, in central Lake Erie, North America. To evaluate hypoxia tolerance of D. mendotae, we conducted a survivorship experiment with varying dissolved oxygen concentrations, which −1 demonstrated high sensitivity of D. mendotae to hypoxia (≤2 mg O2 l ), supporting the field obser- vations of their behavioral avoidance of the hypoxic hypolimnion. -
Top-Down Trophic Cascades in Three Meromictic Lakes Tanner J
Top-down Trophic Cascades in Three Meromictic Lakes Tanner J. Kraft, Caitlin T. Newman, Michael A. Smith, Bill J. Spohr Ecology 3807, Itasca Biological Station, University of Minnesota Abstract Projections of tropic cascades from a top-down model suggest that biotic characteristics of a lake can be predicted by the presence of planktivorous fish. From the same perspective, the presence of planktivorous fish can theoretically be predicted based off of the sampled biotic factors. Under such theory, the presence of planktivorous fish contributes to low zooplankton abundances, increased zooplankton predator-avoidance techniques, and subsequent growth increases of algae. Lakes without planktivorous fish would theoretically experience zooplankton population booms and subsequent decreased algae growth. These assumptions were used to describe the tropic interactions of Arco, Deming, and Josephine Lakes; three relatively similar meromictic lakes differing primarily from their absence or presence of planktivorous fish. Due to the presence of several other physical, chemical, and environmental factors that were not sampled, these assumptions did not adequately predict the relative abundances of zooplankton and algae in a lake based solely on the fish status. However, the theory did successfully predict the depth preferences of zooplankton based on the presence or absence of fish. Introduction Trophic cascades play a major role in the ecological composition of lakes. One trophic cascade model predicts that the presence or absence of piscivorous fishes will affect the presence of planktivorous fishes, zooplankton size and abundance, algal biomass, and 1 subsequent water clarity (Fig. 1) (Carpenter et al., 1987). The trophic nature of lakes also affects animal behavior, such as the distribution patterns of zooplankton as a predator avoidance technique (Loose and Dawidowicz, 1994).