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Physical and Chemical Characteristics of the Yaquina Estuary, Oregon
PHYSICAL AND CHEMICAL CHARACTERISTICS OF THE YAQUINA ESTUARY, OREGON Richard J. Callaway MarPoiSol P.O. Box 57 Corvallis, OR 97339 David T. Specht, Project Officer Coastal Ecology Branch U.S. Environmental Protection Agency 2111 S.E. Marine Science Drive Newport, Oregon 97365-5260 2 (Purchase Order #8B06~NTT A) Submitted August 9, 1999 TABLE OF CONTENTS Introduction .................................................................................................................... 1 Area of Study .................................................................................................................. 1 Estuary Classification.............................................. .......................................... 1 Local Communities ............................................................................................... 7 Physical Setting .................................................................................................... 7 Climate ................................................................................................................. ? Winds ................................................................................................................... 8 Tides .................................................................................................................... 8 Currents .............................................................................................................. 9 Estuarine Dynamics and the Hansen-Rattray Classification Scheme ............................... -
A New Type of Plankton Food Web Functioning in Coastal Waters Revealed by Coupling Monte Carlo Markov Chain Linear Inverse Metho
A new type of plankton food web functioning in coastal waters revealed by coupling Monte Carlo Markov Chain Linear Inverse method and Ecological Network Analysis Marouan Meddeb, Nathalie Niquil, Boutheina Grami, Kaouther Mejri, Matilda Haraldsson, Aurélie Chaalali, Olivier Pringault, Asma Sakka Hlaili To cite this version: Marouan Meddeb, Nathalie Niquil, Boutheina Grami, Kaouther Mejri, Matilda Haraldsson, et al.. A new type of plankton food web functioning in coastal waters revealed by coupling Monte Carlo Markov Chain Linear Inverse method and Ecological Network Analysis. Ecological Indicators, Elsevier, 2019, 104, pp.67-85. 10.1016/j.ecolind.2019.04.077. hal-02146355 HAL Id: hal-02146355 https://hal.archives-ouvertes.fr/hal-02146355 Submitted on 3 Jun 2019 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. 1 A new type of plankton food web functioning in coastal waters revealed by coupling 2 Monte Carlo Markov Chain Linear Inverse method and Ecological Network Analysis 3 4 5 Marouan Meddeba,b*, Nathalie Niquilc, Boutheïna Gramia,d, Kaouther Mejria,b, Matilda 6 Haraldssonc, Aurélie Chaalalic,e,f, Olivier Pringaultg, Asma Sakka Hlailia,b 7 8 aUniversité de Carthage, Faculté des Sciences de Bizerte, Laboratoire de phytoplanctonologie 9 7021 Zarzouna, Bizerte, Tunisie. -
Phytoplankton As Key Mediators of the Biological Carbon Pump: Their Responses to a Changing Climate
sustainability Review Phytoplankton as Key Mediators of the Biological Carbon Pump: Their Responses to a Changing Climate Samarpita Basu * ID and Katherine R. M. Mackey Earth System Science, University of California Irvine, Irvine, CA 92697, USA; [email protected] * Correspondence: [email protected] Received: 7 January 2018; Accepted: 12 March 2018; Published: 19 March 2018 Abstract: The world’s oceans are a major sink for atmospheric carbon dioxide (CO2). The biological carbon pump plays a vital role in the net transfer of CO2 from the atmosphere to the oceans and then to the sediments, subsequently maintaining atmospheric CO2 at significantly lower levels than would be the case if it did not exist. The efficiency of the biological pump is a function of phytoplankton physiology and community structure, which are in turn governed by the physical and chemical conditions of the ocean. However, only a few studies have focused on the importance of phytoplankton community structure to the biological pump. Because global change is expected to influence carbon and nutrient availability, temperature and light (via stratification), an improved understanding of how phytoplankton community size structure will respond in the future is required to gain insight into the biological pump and the ability of the ocean to act as a long-term sink for atmospheric CO2. This review article aims to explore the potential impacts of predicted changes in global temperature and the carbonate system on phytoplankton cell size, species and elemental composition, so as to shed light on the ability of the biological pump to sequester carbon in the future ocean. -
Fertilizing the Ocean with Iron Is This a Viable Way to Help Reduce Carbon Dioxide Levels in the Atmosphere?
380 Fertilizing the Ocean with Iron Is this a viable way to help reduce carbon dioxide levels in the atmosphere? 360 ive me half a tanker of iron, and I’ll give you an ice Twenty years on, Martin’s line is still viewed alternately age” may rank as the catchiest line ever uttered by a as a boast or a quip—an opportunity too good to pass up or a biogeochemist.“G The man responsible was the late John Martin, misguided remedy doomed to backfire. Yet over the same pe- former director of the Moss Landing Marine Laboratory, who riod, unrelenting increases in carbon emissions and mount- discovered that sprinkling iron dust in the right ocean waters ing evidence of climate change have taken the debate beyond could trigger plankton blooms the size of a small city. In turn, academic circles and into the free market. the billions of cells produced might absorb enough heat-trap- Today, policymakers, investors, economists, environ- ping carbon dioxide to cool the Earth’s warming atmosphere. mentalists, and lawyers are taking notice of the idea. A few Never mind that Martin companies are planning new, was only half serious when larger experiments. The ab- 340 he made the remark (in his Ocean Iron Fertilization sence of clear regulations for “best Dr. Strangelove accent,” either conducting experiments he later recalled) at an infor- An argument for: Faced with the huge at sea or trading the results mal seminar at Woods Hole consequences of climate change, iron’s in “carbon offset” markets Oceanographic Institution outsized ability to put carbon into the oceans complicates the picture. -
Biological Oceanography - Legendre, Louis and Rassoulzadegan, Fereidoun
OCEANOGRAPHY – Vol.II - Biological Oceanography - Legendre, Louis and Rassoulzadegan, Fereidoun BIOLOGICAL OCEANOGRAPHY Legendre, Louis and Rassoulzadegan, Fereidoun Laboratoire d'Océanographie de Villefranche, France. Keywords: Algae, allochthonous nutrient, aphotic zone, autochthonous nutrient, Auxotrophs, bacteria, bacterioplankton, benthos, carbon dioxide, carnivory, chelator, chemoautotrophs, ciliates, coastal eutrophication, coccolithophores, convection, crustaceans, cyanobacteria, detritus, diatoms, dinoflagellates, disphotic zone, dissolved organic carbon (DOC), dissolved organic matter (DOM), ecosystem, eukaryotes, euphotic zone, eutrophic, excretion, exoenzymes, exudation, fecal pellet, femtoplankton, fish, fish lavae, flagellates, food web, foraminifers, fungi, harmful algal blooms (HABs), herbivorous food web, herbivory, heterotrophs, holoplankton, ichthyoplankton, irradiance, labile, large planktonic microphages, lysis, macroplankton, marine snow, megaplankton, meroplankton, mesoplankton, metazoan, metazooplankton, microbial food web, microbial loop, microheterotrophs, microplankton, mixotrophs, mollusks, multivorous food web, mutualism, mycoplankton, nanoplankton, nekton, net community production (NCP), neuston, new production, nutrient limitation, nutrient (macro-, micro-, inorganic, organic), oligotrophic, omnivory, osmotrophs, particulate organic carbon (POC), particulate organic matter (POM), pelagic, phagocytosis, phagotrophs, photoautotorphs, photosynthesis, phytoplankton, phytoplankton bloom, picoplankton, plankton, -
Phytoplankton
Phytoplankton • What are the phytoplankton? • How do the main groups differ? Phytoplankton Zooplankton Nutrients Plankton “wandering” or “drifting” (incapable of sustained, directed horizontal movement) www.shellbackdon.com Nekton Active swimmers Components of the Plankton Virioplankton: Viruses Bacterioplankton: Bacteria — free living planktobacteria; epibacteria attached to larger particles Mycoplankton: Fungi Phytoplankton: Photosynthetic microalgae, cyanobacteria, and prochlorophytes Zooplankton: Heterotrophic — Protozooplankton (unicellular) and Metazooplankton (larval and adult crustaceans, larval fish, coelenterates…) Components of the Phytoplankton: Older scheme Netplankton: Plankton that is retained on a net or screen, usually Inspecting a small plankton 20 - 100 µm net. In: "From the Surface to the Bottom of the Sea" by H. Nanoplankton: Plankton that Bouree, 1912, Fig. 49, p. 61. passes the net, but Library Call Number 525.8 B77. which is > 2 µm Ultrananoplankton: Plankton < 2µm Components of the Plankton (older scheme) Netplankton: Plankton that is retained on a net or screen, usually 20 - 100 µm Nanoplankton: Plankton that passes the net, but which is > 2 µm Ultrananoplankton: Plankton < 2µm Microzooplankton: Zooplankton in the microplankton (i.e., < 200 µm) Length Scales to Define Plankton Groups Sieburth, J. M., Smetacek, V. and Lenz, J. (1978). Pelagic ecosystem structure: Heterotrophic compartments of the plankton and their relationship to plankton size fractions. Limnol. Oceanogr. 23: 1256-1263. Terminology and Scales: -
SSWIMS: Plankton
Unit Six SSWIMS/Plankton Unit VI Science Standards with Integrative Marine Science-SSWIMS On the cutting edge… This program is brought to you by SSWIMS, a thematic, interdisciplinary teacher training program based on the California State Science Content Standards. SSWIMS is provided by the University of California Los Angeles in collaboration with the Los Angeles County school districts, including the Los Angeles Unified School District. SSWIMS is funded by a major grant from the National Science Foundation. Plankton Lesson Objectives: Students will be able to do the following: • Determine a basis for plankton classification • Differentiate between various plankton groups • Compare and contrast plankton adaptations for buoyancy Key concepts: phytoplankton, zooplankton, density, diatoms, dinoflagellates, holoplankton, meroplankton Plankton Introduction “Plankton” is from a Greek word for food chains. They are autotrophs, “wanderer.” It is a making their own food, using the collective term for process of photosynthesis. The the various animal plankton or zooplankton eat organisms that drift or food for energy. These swim weakly in the heterotrophs feed on the open water of the sea or microscopic freshwater lakes and ponds. These world of the weak swimmers, carried about by sea and currents, range in size from the transfer tiniest microscopic organisms to energy up much larger animals such as the food jellyfish. pyramid to fishes, marine mammals, and humans. Plankton can be divided into two large groups: planktonic plants and Scientists are interested in studying planktonic animals. The plant plankton, because they are the basis plankton or phytoplankton are the for food webs in both marine and producers of ocean and freshwater freshwater ecosystems. -
Oregon Parks & Recreation Department
Case File: 4-CP-1$ Date Filed: December 17, 2018 Hearing Date: February 25, 2019/Planning Commission PLANNING STAFF REPORT File No. 4-CP-18 A. APPLICANT: Oregon Parks & Recreation Department (OPRD) (Ian Matthews, Authorized Representative) B. REQUEST: The request is to amend the Parks and Recreation Section of the Newport Comprehensive Plan to approve and adopt the master plans for the Agate Beach State Recreation Site, Yaquina Bay State Recreation Site, and South Beach State Park, as outlined in the OPRD South Beach and Beverly Beach Management Units Plan, dated January 201$. C. LOCATION: 3040 NW Oceanview Drive (Agate Beach State Recreation Site), $42 and $46 SW Government Street (Yaquina Bay State Recreation Site), and 5400 South Coast Highway (South Beach State Park). A list of tax lots associated with each park is included in the application materials. D. LOT SIZE: 1 8.5 acres (Agate Beach State Recreation Site), 32.0 acres (Yaquina Bay State Recreation Site), and 498.3 acres (South Beach State Park). E. STAFF REPORT: 1. Report of Fact a. Plan Designations: Public and Shoreland b. Zone Designations: P-2/”Public Parks” c. Surrounding Land Uses: The Agate Beach State Recreation Site is bordered on the north by a condominium development, on the south by the Best Western Agate Beach Inn, to the east by US 101, and by the ocean on the west. It is bisected by Big Creek and Oceanview Drive. The Yaquina Bay State Recreation Site is located on the bluff at the north end of the Yaquina Bay Bridge. It is bordered by single-family residential and commercial development to the north, US 101 to the east, Yaquina Bay to the south and the ocean to the west. -
Collection and Analysis of a Global Marine Phytoplankton Primary
Discussions https://doi.org/10.5194/essd-2021-230 Earth System Preprint. Discussion started: 7 July 2021 Science c Author(s) 2021. CC BY 4.0 License. Open Access Open Data Collection and analysis of a global marine phytoplankton primary production dataset Franceso Mattei1,2,3, Michele Scardi1,2 1Department of Biology, University of Rome “Tor Vergata”, Via della Ricerca Scientifica (no street number), Rome, 00133, 5 Italy. 2CoNISMa, Piazzale Flaminio, 9, Rome, 00196, Italy. 3 Ph.D. Program in Evolutionary Biology and Ecology, Department of Biology, University of Rome Tor Vergata. Correspondence to: Francesco Mattei ([email protected]) Keywords: Phytoplankton primary production, Marine ecology, Global marine primary productivity. 10 Abstract. Phytoplankton primary production is a key oceanographic process. It has relationships with the marine food webs dynamics, the global carbon cycle and the Earth’s climate. The study of phytoplankton production on a global scale relies on indirect approaches due to field campaigns difficulties. Modelling approaches require in situ data for calibration and validation. In fact, the need for more phytoplankton primary production data was highlighted several times during the last decades. Most of the available primary production datasets are scattered in various repositories, reporting heterogeneous information 15 and missing records. We decided to retrieve field measurements of marine phytoplankton production from several sources and create a homogeneous and ready to use dataset. We handled missing data and added variables related to primary production which were not present in the original datasets. Subsequently, we performed a general analysis of the highlighting the relationships between the variables from a numerical and an ecological perspective. -
OREGON ESTUARINE INVERTEBRATES an Illustrated Guide to the Common and Important Invertebrate Animals
OREGON ESTUARINE INVERTEBRATES An Illustrated Guide to the Common and Important Invertebrate Animals By Paul Rudy, Jr. Lynn Hay Rudy Oregon Institute of Marine Biology University of Oregon Charleston, Oregon 97420 Contract No. 79-111 Project Officer Jay F. Watson U.S. Fish and Wildlife Service 500 N.E. Multnomah Street Portland, Oregon 97232 Performed for National Coastal Ecosystems Team Office of Biological Services Fish and Wildlife Service U.S. Department of Interior Washington, D.C. 20240 Table of Contents Introduction CNIDARIA Hydrozoa Aequorea aequorea ................................................................ 6 Obelia longissima .................................................................. 8 Polyorchis penicillatus 10 Tubularia crocea ................................................................. 12 Anthozoa Anthopleura artemisia ................................. 14 Anthopleura elegantissima .................................................. 16 Haliplanella luciae .................................................................. 18 Nematostella vectensis ......................................................... 20 Metridium senile .................................................................... 22 NEMERTEA Amphiporus imparispinosus ................................................ 24 Carinoma mutabilis ................................................................ 26 Cerebratulus californiensis .................................................. 28 Lineus ruber ......................................................................... -
Ocean Iron Fertilization Experiments – Past, Present, and Future Looking to a Future Korean Iron Fertilization Experiment in the Southern Ocean (KIFES) Project
Biogeosciences, 15, 5847–5889, 2018 https://doi.org/10.5194/bg-15-5847-2018 © Author(s) 2018. This work is distributed under the Creative Commons Attribution 3.0 License. Reviews and syntheses: Ocean iron fertilization experiments – past, present, and future looking to a future Korean Iron Fertilization Experiment in the Southern Ocean (KIFES) project Joo-Eun Yoon1, Kyu-Cheul Yoo2, Alison M. Macdonald3, Ho-Il Yoon2, Ki-Tae Park2, Eun Jin Yang2, Hyun-Cheol Kim2, Jae Il Lee2, Min Kyung Lee2, Jinyoung Jung2, Jisoo Park2, Jiyoung Lee1, Soyeon Kim1, Seong-Su Kim1, Kitae Kim2, and Il-Nam Kim1 1Department of Marine Science, Incheon National University, Incheon 22012, Republic of Korea 2Korea Polar Research Institute, Incheon 21990, Republic of Korea 3Woods Hole Oceanographic Institution, MS 21, 266 Woods Hold Rd., Woods Hole, MA 02543, USA Correspondence: Il-Nam Kim ([email protected]) Received: 2 November 2016 – Discussion started: 15 November 2016 Revised: 16 August 2018 – Accepted: 18 August 2018 – Published: 5 October 2018 Abstract. Since the start of the industrial revolution, hu- providing insight into mechanisms operating in real time and man activities have caused a rapid increase in atmospheric under in situ conditions. To maximize the effectiveness of carbon dioxide (CO2) concentrations, which have, in turn, aOIF experiments under international aOIF regulations in the had an impact on climate leading to global warming and future, we therefore suggest a design that incorporates sev- ocean acidification. Various approaches have been proposed eral components. (1) Experiments conducted in the center of to reduce atmospheric CO2. The Martin (or iron) hypothesis an eddy structure when grazing pressure is low and silicate suggests that ocean iron fertilization (OIF) could be an ef- levels are high (e.g., in the SO south of the polar front during fective method for stimulating oceanic carbon sequestration early summer). -
A Nutrient-Phytoplankton-Zooplankton Model for Classifying Estuaries Based on Susceptibility to Nitrogen Loads
A NUTRIENT-PHYTOPLANKTON-ZOOPLANKTON MODEL FOR CLASSIFYING ESTUARIES BASED ON SUSCEPTIBILITY TO NITROGEN LOADS By Yuntao Zhou A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science (Natural Resources and Environment) in the University of Michigan April 18, 2006 Thesis Committee: Professor Donald Scavia, Chair Professor J. David Allan Abstract Estuarine responses to nutrient loads can be remarkably different. Many driving variables including light, water residence time, physical stratification, and temperature are responsible for the diversity of the response. To classify estuaries based on their susceptibility to nutrient loads, a nutrient- phytoplankton- zooplankton (NPZ) model was developed and applied to river-dominated, well-mixed estuaries. Estuaries are classified as having low, medium, high and hyper eutrophic conditions by the model. The result of the model suggests that water residence time is an important controlling variable in the process of achieving a steady-state response to nutrient loads. Although phytoplankton responses to residence time vary under different loads, they have the same positive trend. Phytoplankton responses are almost linear with water residence time initially, then decrease, and eventually plateau. i Table of Contents Part1. Introduction……………………………………………………………………1 Light availability………………………………………………………………………………..2 Water residence time……………………………………………………………………………3 Physical Stratification…………………………………………………………………………..3 Temperature…………………………………………………………………………………….4 Part 2. Modeling Approaches…………………………………………………………5 A simple plankton model (Steele and Henderson, 1981)……………………………………...7 Coastal ecosystem sensitivity to light and nutrient enrichment (Cloern 1999)……………..8 A model for partially mixed estuary (Peterson and Festa, 1984)………………………….....9 CSTT (Comprehensive Studies Task Team) model (Tett, 2003)…………………………….10 ASSETS (Assessment of Estuarine Trophic Status) model (Bricker, 2003) ………………..11 Part 3.