Coral-Reef-Derived Dimethyl Sulfide and the Climatic Impact of the Loss Of
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A Quick Guide to Southeast Florida's Coral Reefs
A Quick Guide to Southeast Florida’s Coral Reefs DAVID GILLIAM NATIONAL CORAL REEF INSTITUTE NOVA SOUTHEASTERN UNIVERSITY Spring 2013 Prepared by the Land-based Sources of Pollution Technical Advisory Committee (TAC) of the Southeast Florida Coral Reef Initiative (SEFCRI) BRIAN WALKER NATIONAL CORAL REEF INSTITUTE, NOVA SOUTHEASTERN Southeast Florida’s coral-rich communities are more valuable than UNIVERSITY the Spanish treasures that sank nearby. Like the lost treasures, these amazing reefs lie just a few hundred yards off the shores of Martin, Palm Beach, Broward and Miami-Dade Counties where more than one-third of Florida’s 19 million residents live. Fishing, diving, and boating help attract millions of visitors to southeast Florida each year (30 million in 2008/2009). Reef-related expen- ditures generate $5.7 billion annually in income and sales, and support more than 61,000 local jobs. Such immense recreational activity, coupled with the pressures of coastal development, inland agriculture, and robust cruise and commercial shipping industries, threaten the very survival of our reefs. With your help, reefs will be protected from local stresses and future generations will be able to enjoy their beauty and economic benefits. Coral reefs are highly diverse and productive, yet surprisingly fragile, ecosystems. They are built by living creatures that require clean, clear seawater to settle, mature and reproduce. Reefs provide safe havens for spectacular forms of marine life. Unfortunately, reefs are vulnerable to impacts on scales ranging from local and regional to global. Global threats to reefs have increased along with expanding ART SEITZ human populations and industrialization. Now, warming seawater temperatures and changing ocean chemistry from carbon dioxide emitted by the burning of fossil fuels and deforestation are also starting to imperil corals. -
Effects of Eutrophication on Stream Ecosystems
EFFECTS OF EUTROPHICATION ON STREAM ECOSYSTEMS Lei Zheng, PhD and Michael J. Paul, PhD Tetra Tech, Inc. Abstract This paper describes the effects of nutrient enrichment on the structure and function of stream ecosystems. It starts with the currently well documented direct effects of nutrient enrichment on algal biomass and the resulting impacts on stream chemistry. The paper continues with an explanation of the less well documented indirect ecological effects of nutrient enrichment on stream structure and function, including effects of excess growth on physical habitat, and alterations to aquatic life community structure from the microbial assemblage to fish and mammals. The paper also dicusses effects on the ecosystem level including changes to productivity, respiration, decomposition, carbon and other geochemical cycles. The paper ends by discussing the significance of these direct and indirect effects of nutrient enrichment on designated uses - especially recreational, aquatic life, and drinking water. 2 1. Introduction 1.1 Stream processes Streams are all flowing natural waters, regardless of size. To understand the processes that influence the pattern and character of streams and reduce natural variation of different streams, several stream classification systems (including ecoregional, fluvial geomorphological, and stream order classification) have been adopted by state and national programs. Ecoregional classification is based on geology, soils, geomorphology, dominant land uses, and natural vegetation (Omernik 1987). Fluvial geomorphological classification explains stream and slope processes through the application of physical principles. Rosgen (1994) classified stream channels in the United States into seven major stream types based on morphological characteristics, including entrenchment, gradient, width/depth ratio, and sinuosity in various land forms. -
Verifiable Semantic Difference Languages
Verifiable Semantic Difference Languages Thibaut Girka David Mentré Yann Régis-Gianas Mitsubishi Electric R&D Centre Mitsubishi Electric R&D Centre Univ Paris Diderot, Sorbonne Paris Europe Europe Cité, IRIF/PPS, UMR 8243 CNRS, PiR2, Rennes, France Rennes, France INRIA Paris-Rocquencourt Paris, France ABSTRACT 1 INTRODUCTION Program differences are usually represented as textual differences Let x be a strictly positive natural number. Consider the following on source code with no regard to its syntax or its semantics. In two (almost identical) imperative programs: this paper, we introduce semantic-aware difference languages. A difference denotes a relation between program reduction traces. A s = 0 ; 1 s = 0 ; 1 difference language for the toy imperative programming language d = x ; 2 d = x − 1 ; 2 while (d>0) { 3 while (d>0) { 3 Imp is given as an illustration. i f (x%d== 0) 4 i f (x%d== 0) 4 To certify software evolutions, we want to mechanically verify s = s + d ; 5 s = s + d ; 5 − − that a difference correctly relates two given programs. Product pro- d = d 1 ; 6 d = d 1 ; 6 } 7 } 7 grams and correlating programs are effective proof techniques for s = s − x 8 8 relational reasoning. A product program simulates, in the same programming language as the compared programs, a well-chosen The program P1 (on the left) stores in s the sum of the proper interleaving of their executions to highlight a specific relation be- divisors of the integer x. To that end, it iterates over the integers tween their reduction traces. While this approach enables the use from x to 1 using the variable d and accumulates in the variable s of readily-available static analysis tools on the product program, it the values of d that divide x. -
Microscale Ecology Regulates Particulate Organic Matter Turnover in Model Marine Microbial Communities
ARTICLE DOI: 10.1038/s41467-018-05159-8 OPEN Microscale ecology regulates particulate organic matter turnover in model marine microbial communities Tim N. Enke1,2, Gabriel E. Leventhal 1, Matthew Metzger1, José T. Saavedra1 & Otto X. Cordero1 The degradation of particulate organic matter in the ocean is a central process in the global carbon cycle, the mode and tempo of which is determined by the bacterial communities that 1234567890():,; assemble on particle surfaces. Here, we find that the capacity of communities to degrade particles is highly dependent on community composition using a collection of marine bacteria cultured from different stages of succession on chitin microparticles. Different particle degrading taxa display characteristic particle half-lives that differ by ~170 h, comparable to the residence time of particles in the ocean’s mixed layer. Particle half-lives are in general longer in multispecies communities, where the growth of obligate cross-feeders hinders the ability of degraders to colonize and consume particles in a dose dependent manner. Our results suggest that the microscale community ecology of bacteria on particle surfaces can impact the rates of carbon turnover in the ocean. 1 Department of Civil and Environmental Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA. 2 Department of Environmental Systems Science, ETH Zurich, Zürich 8092, Switzerland. Correspondence and requests for materials should be addressed to O.X.C. (email: [email protected]) NATURE COMMUNICATIONS | (2018) 9:2743 | DOI: 10.1038/s41467-018-05159-8 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | DOI: 10.1038/s41467-018-05159-8 earning how the composition of ecological communities the North Pacific gyre20. -
Plankton Community Composition, Organic Carbon and Thorium-234 Particle Size Distributions, and Particle Export in the Sargasso Sea
Journal of Marine Research, 67, 845–868, 2009 Plankton community composition, organic carbon and thorium-234 particle size distributions, and particle export in the Sargasso Sea by H. S. Brew1, S. B. Moran1,2, M. W. Lomas3 and A. B. Burd4 ABSTRACT Measurements of plankton community composition (eight planktonic groups), particle size- fractionated (10, 20, 53, 70, and 100-m Nitex screens) distributions of organic carbon (OC) and 234Th, and particle export of OC and 234Th are reported over a seasonal cycle (2006–2007) from the Bermuda Atlantic Time-Series (BATS) site. Results indicate a convergence of the particle size distributions of OC and 234Th during the winter-spring bloom period (January–March, 2007). The observed convergence of these particle size distributions is directly correlated to the depth-integrated abundance of autotrophic pico-eukaryotes (r ϭ 0.97, P Ͻ 0.05) and, to a lesser extent, Synechococcus (r ϭ 0.85, P ϭ 0.14). In addition, there are positive correlations between the sediment trap flux of OC and 234Th at 150 m and the depth-integrated abundance of pico-eukaryotes (r ϭ 0.94, P ϭ 0.06 for OC, and r ϭ 0.98, P Ͻ 0.05 for 234Th) and Synechococcus (r ϭ 0.95, P ϭ 0.05 for OC, and r ϭ 0.94, P ϭ 0.06 for 234Th). An implication of these observations and recent modeling studies (Richardson and Jackson, 2007) is that, although small in size, pico-plankton may influence large particle export from the surface waters of the subtropical Atlantic. -
An Introduction to Programming in Simula
An Introduction to Programming in Simula Rob Pooley This document, including all parts below hyperlinked directly to it, is copyright Rob Pooley ([email protected]). You are free to use it for your own non-commercial purposes, but may not copy it or reproduce all or part of it without including this paragraph. If you wish to use it for gain in any manner, you should contact Rob Pooley for terms appropriate to that use. Teachers in publicly funded schools, universities and colleges are free to use it in their normal teaching. Anyone, including vendors of commercial products, may include links to it in any documentation they distribute, so long as the link is to this page, not any sub-part. This is an .pdf version of the book originally published by Blackwell Scientific Publications. The copyright of that book also belongs to Rob Pooley. REMARK: This document is reassembled from the HTML version found on the web: https://web.archive.org/web/20040919031218/http://www.macs.hw.ac.uk/~rjp/bookhtml/ Oslo 20. March 2018 Øystein Myhre Andersen Table of Contents Chapter 1 - Begin at the beginning Basics Chapter 2 - And end at the end Syntax and semantics of basic elements Chapter 3 - Type cast actors Basic arithmetic and other simple types Chapter 4 - If only Conditional statements Chapter 5 - Would you mind repeating that? Texts and while loops Chapter 6 - Correct Procedures Building blocks Chapter 7 - File FOR future reference Simple input and output using InFile, OutFile and PrintFile Chapter 8 - Item by Item Item oriented reading and writing and for loops Chapter 9 - Classes as Records Chapter 10 - Make me a list Lists 1 - Arrays and simple linked lists Reference comparison Chapter 11 - Like parent like child Sub-classes and complex Boolean expressions Chapter 12 - A Language with Character Character handling, switches and jumps Chapter 13 - Let Us See what We Can See Inspection and Remote Accessing Chapter 14 - Side by Side Coroutines Chapter 15 - File For Immediate Use Direct and Byte Files Chapter 16 - With All My Worldly Goods.. -
A View of Physical Mechanisms for Transporting Harmful Algal Blooms to T Massachusetts Bay ⁎ Yu Zhanga, , Changsheng Chenb, Pengfei Xueb,1, Robert C
Marine Pollution Bulletin 154 (2020) 111048 Contents lists available at ScienceDirect Marine Pollution Bulletin journal homepage: www.elsevier.com/locate/marpolbul A view of physical mechanisms for transporting harmful algal blooms to T Massachusetts Bay ⁎ Yu Zhanga, , Changsheng Chenb, Pengfei Xueb,1, Robert C. Beardsleyc, Peter J.S. Franksd a College of Marine Sciences, Shanghai Ocean University, Shanghai 201306, PR China b School for Marine Science and Technology, University of Massachusetts-Dartmouth, New Bedford, MA 02744, USA c Department of Physical Oceanography, Woods Hole Oceanographic Institution, Woods Hole, MA 02543, USA d Integrative Oceanography Division, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA 92093, USA ARTICLE INFO ABSTRACT Keywords: Physical dynamics of Harmful Algal Blooms in Massachusetts Bay in May 2005 and 2008 were examined by the Harmful algal bloom simulated results. Reverse particle-tracking experiments suggest that the toxic phytoplankton mainly originated Massachusetts Bay from the Bay of Fundy in 2005 and the western Maine coastal region and its local rivers in 2008. Mechanism Ocean modeling studies suggest that the phytoplankton were advected by the Gulf of Maine Coastal Current (GMCC). In 2005, Lagrangian flow Nor'easters increased the cross-shelf surface elevation gradient over the northwestern shelf. This intensified the Eastern and Western MCC to form a strong along-shelf current from the Bay of Fundy to Massachusetts Bay. In 2008, both Eastern and Western MCC were established with a partial separation around Penobscot Bay before the outbreak of the bloom. The northeastward winds were too weak to cancel or reverse the cross-shelf sea surface gradient, so that the Western MCC carried the algae along the slope into Massachusetts Bay. -
Open Ocean Dead-Zones in the Tropical J I Northeast Atlantic
Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Biogeosciences Discuss., 11, 17391–17411, 2014 www.biogeosciences-discuss.net/11/17391/2014/ doi:10.5194/bgd-11-17391-2014 BGD © Author(s) 2014. CC Attribution 3.0 License. 11, 17391–17411, 2014 This discussion paper is/has been under review for the journal Biogeosciences (BG). Open ocean Please refer to the corresponding final paper in BG if available. dead-zones Open ocean dead-zone in the tropical J. Karstensen et al. North Atlantic Ocean Title Page 1 1 1 1 1 2 J. Karstensen , B. Fiedler , F. Schütte , P. Brandt , A. Körtzinger , G. Fischer , Abstract Introduction R. Zantopp1, J. Hahn1, M. Visbeck1, and D. Wallace3 Conclusions References 1GEOMAR Helmholtz Centre for Ocean Research Kiel, Kiel, Germany Tables Figures 2Faculty of Geosciences and MARUM, University of Bremen, Bremen, Germany 3Halifax Marine Research Institute (HMRI), Halifax, Canada J I Received: 3 November 2014 – Accepted: 13 November 2014 – Published: 12 December 2014 J I Correspondence to: J. Karstensen ([email protected]) Back Close Published by Copernicus Publications on behalf of the European Geosciences Union. Full Screen / Esc Printer-friendly Version Interactive Discussion 17391 Discussion Paper | Discussion Paper | Discussion Paper | Discussion Paper | Abstract BGD The intermittent appearances of low oxygen environments are a particular thread for marine ecosystems. Here we present first observations of unexpected low (< 11, 17391–17411, 2014 2 µmolkg−1) oxygen environments in the open waters of the eastern tropical North −1 5 Atlantic, a region where typically oxygen concentration does not fall below 40 µmolkg . Open ocean The low oxygen zones are created just below the mixed-layer, in the euphotic zone of dead-zones high productive cyclonic and anticyclonic-modewater eddies. -
RML Algol 60 Compiler Accepts the Full ASCII Character Set Described in the Manual
I I I · lL' I I 1UU, Alsol 60 CP/M 5yst.. I I , I I '/ I I , ALGOL 60 VERSION 4.8C REI.!AS!- NOTE I I I I CP/M Vers1on·2 I I When used with CP/M version 2 the Algol Ifste. will accept disk drive Dames extending from A: to P: I I I ASSEMBLY CODE ROUTINES I I .'n1~ program CODE.ALG and CODE.ASe 1s an aid to users who wish ·to add I their own code routines to the runtime system. The program' produc:es an I output file which contains a reconstruction of the INPUT, OUTPUT, IOC and I ERROR tables described in the manual. 1111s file forms the basis of an I assembly code program to which users may edit in their routines... Pat:ts I not required may be removed as desired. The resulting program should I then be assembled and overlaid onto the runtime system" using DDT, the I resulti;lg code being SAVEd as a new runtime system. It 1s important that. I the CODE program be run using the version of the runtimesY$tem to. which I the code routines are to be linked else the tables produced DUly, be·\, I incompatible. - I I I I Another example program supplied. 1. QSORT. the sortiDI pro~edure~, I described in the manual. I I I I I I I I I I , I I I -. I I 'It I I I I I I I I I I I ttKL Aleol 60 C'/M Systea I LONG INTEGER ALGOL Arun-L 1s a version of the RML zao Algol system 1nwh1c:h real variables are represented, DOt in the normal mantissalexponent form but rather as 32 .bit 2 s complement integers. -
Workplace Learning Connection Annual Report 2019-20
2019 – 2020 ANNUAL REPORT SERVING SCHOOLS, STUDENTS, EMPLOYERS, AND COMMUNITIES IN BENTON, CEDAR, IOWA, JOHNSON, JONES, LINN, AND WASHINGTON COUNTIES Connecting today’s students to tomorrow’s careers LINN COUNTY JONES COUNTY IOWA COUNTY CENTER REGIONAL CENTER REGIONAL CENTER 200 West St. 1770 Boyson Rd. 220 Welter Dr. Williamsburg, Iowa 52361 Hiawatha, Iowa 52233 Monticello, Iowa 52310 866-424-5669 319-398-1040 855-467-3800 KIRKWOOD REGIONAL CENTER WASHINGTON COUNTY AT THE UNIVERSITY OF IOWA REGIONAL CENTER 2301 Oakdale Blvd. 2192 Lexington Blvd. Coralville, Iowa 52241 Washington, Iowa 52353 319-887-3970 855-467-3900 BENTON COUNTY CENTER CEDAR COUNTY CENTER 111 W. 3rd St. 100 Alexander Dr., Suite 2 WORKPLACE LEARNING Vinton, Iowa 52349 Tipton, Iowa 52772 CONNECTION 866-424-5669 855-467-3900 2019 – 2020 AT A GLANCE Thank you to all our contributors, supporters, and volunteers! Workplace Learning Connection uses a diverse funding model that allows all partners to sustain their participation in an equitable manner. Whether a partners’ interest are student career development, future workforce development, or regional economic development, all funds provide age-appropriate career awareness and exploration services matching the mission of WLC and our partners. Funding the Connections… 2019 – 2020 Revenue Sources Kirkwood Community College (General Fund) $50,000 7% State and Federal Grants (Kirkwood: Perkins, WTED, IIG) $401,324 54% Grant Wood Area Education Agency $40,000 5% K through 12 School Districts Fees for Services $169,142 23% Contributions, -
Think Complexity: Exploring Complexity Science in Python
Think Complexity Version 2.6.2 Think Complexity Version 2.6.2 Allen B. Downey Green Tea Press Needham, Massachusetts Copyright © 2016 Allen B. Downey. Green Tea Press 9 Washburn Ave Needham MA 02492 Permission is granted to copy, distribute, transmit and adapt this work under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License: https://thinkcomplex.com/license. If you are interested in distributing a commercial version of this work, please contact the author. The LATEX source for this book is available from https://github.com/AllenDowney/ThinkComplexity2 iv Contents Preface xi 0.1 Who is this book for?...................... xii 0.2 Changes from the first edition................. xiii 0.3 Using the code.......................... xiii 1 Complexity Science1 1.1 The changing criteria of science................3 1.2 The axes of scientific models..................4 1.3 Different models for different purposes............6 1.4 Complexity engineering.....................7 1.5 Complexity thinking......................8 2 Graphs 11 2.1 What is a graph?........................ 11 2.2 NetworkX............................ 13 2.3 Random graphs......................... 16 2.4 Generating graphs........................ 17 2.5 Connected graphs........................ 18 2.6 Generating ER graphs..................... 20 2.7 Probability of connectivity................... 22 vi CONTENTS 2.8 Analysis of graph algorithms.................. 24 2.9 Exercises............................. 25 3 Small World Graphs 27 3.1 Stanley Milgram......................... 27 3.2 Watts and Strogatz....................... 28 3.3 Ring lattice........................... 30 3.4 WS graphs............................ 32 3.5 Clustering............................ 33 3.6 Shortest path lengths...................... 35 3.7 The WS experiment....................... 36 3.8 What kind of explanation is that?............... 38 3.9 Breadth-First Search..................... -
Coral 66 Language Reference Makrjal
CORAL 66 LANGUAGE REFERENCE MAKRJAL The Centre for Computing History Nl www.CompuUngHistofy.ofg.uk \/ k > MICRO FOCUS CORAL 66 LANGUAGE REFERENCE MANUAL Version 3 Micro Focus Ltd. Issue 2 March 1982 Not to be copied without the consent of Micro Focus Ltd. This language definition reproduces material from the British Standard BS5905 which is hereby acknowledged as a source. / \ / N Micro Focus Ltd. 58,Acacia Rood, St. Johns Wbod, MICRO FOCUS London NW8 6AG Telephones: 017228843/4/5/6/7 Telex: 28536 MICROFG CX)PYRI(fflT 1981, 1982 by Micro Focus Ltd. ii CORAL 66 LANGUAGE REFERENCE MANUAL AMENDMENT RECORD AMENDMENT DATED INSERTED BY SIGNATURE DATE NUMBER iii PREFACE This manual defines the programming language CORAL 66 as implemented in Version 3 of the CORAL compilers known as RCC80 and RCC86. Now that British Standard BS5905 has become the main source for CORAL implementation its structure and style have been adopted. Con5)ared to previous version's of the RCC compilers. Version 3 incorporates 'TABLE' and 'OVERLAY', and allows additional forms of Real numbers in line with the British Standard. Coiiq}iler error reporting has been .modified slightly - in particular all error messages now have identifying numbers and are listed in appendices to the operating manuals. Micro Focus has now assumed direct responsibility for production of all RCC CORAL manuals and believes that this will offer users a better service than has been possible in the past. iv AUDIENCE This manual is intended as a description of CORAL 66 for reference and assumes familiarity with use of the language.