5 Environmental Systems and Ecosystem Ecology
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What Is a Complex Adaptive System?
PROJECT GUTS What is a Complex Adaptive System? Introduction During the last three decades a leap has been made from the application of computing to help scientists ‘do’ science to the integration of computer science concepts, tools and theorems into the very fabric of science. The modeling of complex adaptive systems (CAS) is an example of such an integration of computer science into the very fabric of science; models of complex systems are used to understand, predict and prevent the most daunting problems we face today; issues such as climate change, loss of biodiversity, energy consumption and virulent disease affect us all. The study of complex adaptive systems, has come to be seen as a scientific frontier, and an increasing ability to interact systematically with highly complex systems that transcend separate disciplines will have a profound affect on future science, engineering and industry as well as in the management of our planet’s resources (Emmott et al., 2006). The name itself, “complex adaptive systems” conjures up images of complicated ideas that might be too difficult for a novice to understand. Instead, the study of CAS does exactly the opposite; it creates a unified method of studying disparate systems that elucidates the processes by which they operate. A complex system is simply a system in which many independent elements or agents interact, leading to emergent outcomes that are often difficult (or impossible) to predict simply by looking at the individual interactions. The “complex” part of CAS refers in fact to the vast interconnectedness of these systems. Using the principles of CAS to study these topics as related disciplines that can be better understood through the application of models, rather than a disparate collection of facts can strengthen learners’ understanding of these topics and prepare them to understand other systems by applying similar methods of analysis (Emmott et al., 2006). -
Existing Cybernetics Foundations - B
SYSTEMS SCIENCE AND CYBERNETICS – Vol. III - Existing Cybernetics Foundations - B. M. Vladimirski EXISTING CYBERNETICS FOUNDATIONS B. M. Vladimirski Rostov State University, Russia Keywords: Cybernetics, system, control, black box, entropy, information theory, mathematical modeling, feedback, homeostasis, hierarchy. Contents 1. Introduction 2. Organization 2.1 Systems and Complexity 2.2 Organizability 2.3 Black Box 3. Modeling 4. Information 4.1 Notion of Information 4.2 Generalized Communication System 4.3 Information Theory 4.4 Principle of Necessary Variety 5. Control 5.1 Essence of Control 5.2 Structure and Functions of a Control System 5.3 Feedback and Homeostasis 6. Conclusions Glossary Bibliography Biographical Sketch Summary Cybernetics is a science that studies systems of any nature that are capable of perceiving, storing, and processing information, as well as of using it for control and regulation. UNESCO – EOLSS The second title of the Norbert Wiener’s book “Cybernetics” reads “Control and Communication in the Animal and the Machine”. However, it is not recognition of the external similaritySAMPLE between the functions of animalsCHAPTERS and machines that Norbert Wiener is credited with. That had been done well before and can be traced back to La Mettrie and Descartes. Nor is it his contribution that he introduced the notion of feedback; that has been known since the times of the creation of the first irrigation systems in ancient Babylon. His distinctive contribution lies in demonstrating that both animals and machines can be combined into a new, wider class of objects which is characterized by the presence of control systems; furthermore, living organisms, including humans and machines, can be talked about in the same language that is suitable for a description of any teleological (goal-directed) systems. -
Introduction to Cybernetics and the Design of Systems
Introduction to Cybernetics and the Design of Systems © Hugh Dubberly & Paul Pangaro 2004 Cybernetics named From Greek ‘kubernetes’ — same root as ‘steering’ — becomes ‘governor’ in Latin Steering wind or tide course set Steering wind or tide course set Steering wind or tide course set Steering wind or tide course set correction of error Steering wind or tide course set correction of error Steering wind or tide course set correction of error correction of error Steering wind or tide course set correction of error correction of error Steering wind or tide course set correction of error correction of error Cybernetics named From Greek ‘kubernetes’ — same root as ‘steering’ — becomes ‘governor’ in Latin Cybernetic point-of-view - system has goal - system acts, aims toward the goal - environment affects aim - information returns to system — ‘feedback’ - system measures difference between state and goal — detects ‘error’ - system corrects action to aim toward goal - repeat Steering as a feedback loop compares heading with goal of reaching port adjusts rudder to correct heading ship’s heading Steering as a feedback loop detection of error compares heading with goal of reaching port adjusts rudder feedback to correct heading correction of error ship’s heading Automation of feedback thermostat heater temperature of room air Automation of feedback thermostat compares to setpoint and, if below, activates measured by heater raises temperature of room air The feedback loop ‘Cybernetics introduces for the first time — and not only by saying it, but -
Energy Economics in Ecosystems By: J
Energy Economics in Ecosystems By: J. Michael Beman (School of Natural Sciences, University of California at Merced) © 2010 Nature Education Citation: Beman, J. (2010) Energy Economics in Ecosystems. Nature Education Knowledge 3(10):13 What powers life? In most ecosystems, sunlight is absorbed and converted into usable forms of energy via photosynthesis. These usable forms of energy are carbonbased. The laws of physics describe the interactions between energy and mass: the energy in a closed system is conserved, and matter can neither be created nor destroyed. Modern physics has shown that reality is more 2 complex at very large and very small scales (e.g., Einstein’s famous equation, E = mc demonstrated that mass can be converted to energy in the sun or nuclear reactors), but in the context of Earth’s ecosystems, energy is conserved and matter can neither be created nor destroyed. This seemingly simplistic statement has profound consequences when we study how ecosystems function. In particular, the energy present within an ecosystem is collected and shared by organisms in many different ways; this "sharing" takes place through ecological interactions, such as predatorprey dynamics and symbioses. When we move to the ecosystem level, however, we consider interactions among organisms, populations, communities, and their physical and chemical environment. These interactions have an important bearing on the structure of organisms, ecosystems, and, over geologic time, the planet itself. A primary example of this involves the energy currency in ecosystems, which is carbon. The amount and form of carbon present in different ecosystem pools — such as plants, animals, air, soil, and water — is controlled by organisms, and ultimately affects their ecological success. -
Thermophilic Lithotrophy and Phototrophy in an Intertidal, Iron-Rich, Geothermal Spring 2 3 Lewis M
bioRxiv preprint doi: https://doi.org/10.1101/428698; this version posted September 27, 2018. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Thermophilic Lithotrophy and Phototrophy in an Intertidal, Iron-rich, Geothermal Spring 2 3 Lewis M. Ward1,2,3*, Airi Idei4, Mayuko Nakagawa2,5, Yuichiro Ueno2,5,6, Woodward W. 4 Fischer3, Shawn E. McGlynn2* 5 6 1. Department of Earth and Planetary Sciences, Harvard University, Cambridge, MA 02138 USA 7 2. Earth-Life Science Institute, Tokyo Institute of Technology, Meguro, Tokyo, 152-8550, Japan 8 3. Division of Geological and Planetary Sciences, California Institute of Technology, Pasadena, CA 9 91125 USA 10 4. Department of Biological Sciences, Tokyo Metropolitan University, Hachioji, Tokyo 192-0397, 11 Japan 12 5. Department of Earth and Planetary Sciences, Tokyo Institute of Technology, Meguro, Tokyo, 13 152-8551, Japan 14 6. Department of Subsurface Geobiological Analysis and Research, Japan Agency for Marine-Earth 15 Science and Technology, Natsushima-cho, Yokosuka 237-0061, Japan 16 Correspondence: [email protected] or [email protected] 17 18 Abstract 19 Hydrothermal systems, including terrestrial hot springs, contain diverse and systematic 20 arrays of geochemical conditions that vary over short spatial scales due to progressive interaction 21 between the reducing hydrothermal fluids, the oxygenated atmosphere, and in some cases 22 seawater. At Jinata Onsen, on Shikinejima Island, Japan, an intertidal, anoxic, iron- and 23 hydrogen-rich hot spring mixes with the oxygenated atmosphere and sulfate-rich seawater over 24 short spatial scales, creating an enormous range of redox environments over a distance ~10 m. -
Collection System Manager
CITY OF DALY CITY JOB SPECIFICATION EXEMPT POSITION COLLECTION SYSTEM MANAGER DEFINITION Under the general direction of the Director of Water and Wastewater Resources or authorized representative, supervises all activities of the Collection System Maintenance Division, including wastewater collection and recycled water systems, and performs other duties as assigned. EXAMPLES OF DUTIES Manage, supervise, schedule, and review the work of maintenance personnel in the maintenance, inspection and repair of wastewater collection and recycled water distribution systems in the Collection System Maintenance Division of the Department of Water and Wastewater Resources; ensure safe, efficient and effective compliance with local, state and federal laws, rules and regulations, and industrial practices. Implement City, Department and Division Rules and Regulations, policies, procedures and practices. Ensure that required records are accurately maintained. Oversee a comprehensive preventive maintenance program of facilities. Ensure that supervisors conduct regular safety training and maintain a safe work environment. Develop and maintain training programs for employees; ensure that employees maintain required certification. Formally evaluate or ensure the evaluation and satisfactory job performance of assigned employees. Manage crews in support of City departments in maintenance operations, such as the storm drain collection system maintenance and construction program. Work to complete Department and Division goals and objectives. Prepare and manage the Division budget; propose, develop and manage capital projects and manage contracts for the Division. Prepare reports, and make presentations to the City Manager, City Council or others as required. When required, maintain 24-hour availability to address Division emergencies. Develop and maintain good working relationships with supervisors, coworkers, elected officials, professional peer groups and the public. -
Analysis of Habitat Fragmentation and Ecosystem Connectivity Within the Castle Parks, Alberta, Canada by Breanna Beaver Submit
Analysis of Habitat Fragmentation and Ecosystem Connectivity within The Castle Parks, Alberta, Canada by Breanna Beaver Submitted in Partial Fulfillment of the Requirements for the Degree of Master of Science in the Environmental Science Program YOUNGSTOWN STATE UNIVERSITY December, 2017 Analysis of Habitat Fragmentation and Ecosystem Connectivity within The Castle Parks, Alberta, Canada Breanna Beaver I hereby release this thesis to the public. I understand that this thesis will be made available from the OhioLINK ETD Center and the Maag Library Circulation Desk for public access. I also authorize the University or other individuals to make copies of this thesis as needed for scholarly research. Signature: Breanna Beaver, Student Date Approvals: Dawna Cerney, Thesis Advisor Date Peter Kimosop, Committee Member Date Felicia Armstrong, Committee Member Date Clayton Whitesides, Committee Member Date Dr. Salvatore A. Sanders, Dean of Graduate Studies Date Abstract Habitat fragmentation is an important subject of research needed by park management planners, particularly for conservation management. The Castle Parks, in southwest Alberta, Canada, exhibit extensive habitat fragmentation from recreational and resource use activities. Umbrella and keystone species within The Castle Parks include grizzly bears, wolverines, cougars, and elk which are important animals used for conservation agendas to help protect the matrix of the ecosystem. This study identified and analyzed the nature of habitat fragmentation within The Castle Parks for these species, and has identified geographic areas of habitat fragmentation concern. This was accomplished using remote sensing, ArcGIS, and statistical analyses, to develop models of fragmentation for ecosystem cover type and Digital Elevation Models of slope, which acted as proxies for species habitat suitability. -
Ecological Systems of the United States a Working Classification of U.S
ECOLOGICAL SYSTEMS OF THE UNITED STATES A WORKING CLASSIFICATION OF U.S. TERRESTRIAL SYSTEMS NatureServe is a non-profit organization dedicated to providing the scientific knowledge that forms the basis for effective conservation action. Citation: Comer, P., D. Faber-Langendoen, R. Evans, S. Gawler, C. Josse, G. Kittel, S. Menard, M. Pyne, M. Reid, K. Schulz, K. Snow, and J. Teague. 2003. Ecological Systems of the United States: A Working Classification of U.S. Terrestrial Systems. NatureServe, Arlington, Virginia. © NatureServe 2003 Ecological Systems of the United States is a component of NatureServe’s International Terrestrial Ecological Systems Classification. Á Funding for this report was provided by a grant from The Nature Conservancy. Front cover: Maroon Bells Wilderness, Colorado. Photo © Patrick Comer NatureServe 1101 Wilson Boulevard, 15th Floor Arlington, VA 22209 (703) 908-1800 www.natureserve.org ECOLOGICAL SYSTEMS OF THE UNITED STATES A WORKING CLASSIFICATION OF U.S. TERRESTRIAL SYSTEMS Á Á Á Á Á Patrick Comer Don Faber-Langendoen Rob Evans Sue Gawler Carmen Josse Gwen Kittel Shannon Menard Milo Pyne Marion Reid Keith Schulz Kristin Snow Judy Teague June 2003 Acknowledgements We wish to acknowledge the generous support provided by The Nature Conservancy for this effort to classify and characterize the ecological systems of the United States. We are particularly grateful to the late John Sawhill, past President of The Nature Conservancy, who was an early supporter of this concept, and who made this funding possible through an allocation from the President’s Discretionary Fund. Many of the concepts and approaches for defining and applying ecological systems have greatly benefited from collaborations with Conservancy staff, and the classification has been refined during its application in Conservancy-sponsored conservation assessments. -
Rocket D3 Database Management System
datasheet Rocket® D3 Database Management System Delivering Proven Multidimensional Technology to the Evolving Enterprise Ecient Performance: C#, and C++. In addition, Java developers can access Delivers high performance via Proven Technology the D3 data files using its Java API. The MVS Toolkit ecient le management For over 30 years, the Pick Universal Data Model (Pick provides access to data and business processes via that requires minimal system UDM) has been synonymous with performance and and memory resources both SOAP and RESTful Web Services. reliability; providing the flexible multidimensional Scalability and Flexibility: database infrastructure to develop critical transac- Scales with your enterprise, tional and analytical business applications. Based on from one to thousands of Why Developers the Pick UDM, the Rocket® D3 Database Manage- users ment System offers enterprise-level scalability and Choose D3 D3 is the choice of more than a thousand applica- Seamless Interoperability: efficiency to support the dynamic growth of any tion developers world-wide—serving top industries Interoperates with varied organization. databases and host including manufacturing, distribution, healthcare, environments through government, retail, and other vertical markets. connectivity tools Rapid application development and application Rocket D3 database-centric development environ- customization requires an underlying data structure Data Security: ment provides software developers with all the that can respond effectively to ever-changing Provides secure, simultaneous necessary tools to quickly adapt to changes and access to the database from business requirements. Rocket D3 is simplistic in its build critical business applications in a fraction of the remote or disparate locations structure, yet allows for complex definitions of data time as compared to other databases; without worldwide structures and program logic. -
The Effects of Feedback Interventions on Performance: a Historical Review, a Meta-Analysis, and a Preliminary Feedback Intervention Theory
Psychological Bulletin Copyright 1996 by the American Psychological Association, Inc. 1996, Vol. II9, No. 2, 254-284 0033-2909/96/S3.00 The Effects of Feedback Interventions on Performance: A Historical Review, a Meta-Analysis, and a Preliminary Feedback Intervention Theory Avraham N. Kluger Angelo DeNisi The Hebrew University of Jerusalem Rutgers University Since the beginning of the century, feedback interventions (FIs) produced negative—but largely ignored—effects on performance. A meta-analysis (607 effect sizes; 23,663 observations) suggests that FIs improved performance on average (d = .41) but that over '/3 of the FIs decreased perfor- mance. This finding cannot be explained by sampling error, feedback sign, or existing theories. The authors proposed a preliminary FI theory (FIT) and tested it with moderator analyses. The central assumption of FIT is that FIs change the locus of attention among 3 general and hierarchically organized levels of control: task learning, task motivation, and meta-tasks (including self-related) processes. The results suggest that FI effectiveness decreases as attention moves up the hierarchy closer to the self and away from the task. These findings are further moderated by task characteristics that are still poorly understood. To relate feedback directly to behavior is very confusing. Results able has been historically disregarded by most FI researchers. This are contradictory and seldom straight-forward. (Ilgen, Fisher, & disregard has led to a widely shared assumption that FIs consis- Taylor, 1979, p. 368) tently improve performance. Fortunately, several FI researchers The effects of manipulation of KR [knowledge of results] on motor (see epigraphs) have recently recognized that FIs have highly vari- learning. -
An Analysis of Power and Stress Using Cybernetic Epistemology Randall Robert Lyle Iowa State University
Iowa State University Capstones, Theses and Retrospective Theses and Dissertations Dissertations 1992 An analysis of power and stress using cybernetic epistemology Randall Robert Lyle Iowa State University Follow this and additional works at: https://lib.dr.iastate.edu/rtd Part of the Educational Psychology Commons, Family, Life Course, and Society Commons, and the Philosophy Commons Recommended Citation Lyle, Randall Robert, "An analysis of power and stress using cybernetic epistemology " (1992). Retrospective Theses and Dissertations. 10131. https://lib.dr.iastate.edu/rtd/10131 This Dissertation is brought to you for free and open access by the Iowa State University Capstones, Theses and Dissertations at Iowa State University Digital Repository. It has been accepted for inclusion in Retrospective Theses and Dissertations by an authorized administrator of Iowa State University Digital Repository. For more information, please contact [email protected]. INFORMATION TO USERS This manuscript has been reproduced from the microfilm master. UMI films the text directly from the original or copy submitted. Thus, some thesis and dissertation copies are in typewriter face, while others may be from any type of computer printer. The quality of this reproduction is dependent upon the quality of the copy submitted. Broken or indistinct print, colored or poor quality illustrations and photographs, print bleedthrough, substandard margins, and improper alignment can adversely afreet reproduction. In the unlikely event that the author did not send UMI a complete manuscript and there are missing pages, these will be noted. Also, if unauthorized copyright material had to be removed, a note will indicate the deletion. Oversize materials (e.g., maps, drawings, charts) are reproduced by sectioning the original, beginning at the upper left-hand corner and continuing from lefr to right in equal sections with small overlaps. -
Meta-Ecosystems: a Theoretical Framework for a Spatial Ecosystem Ecology
Ecology Letters, (2003) 6: 673–679 doi: 10.1046/j.1461-0248.2003.00483.x IDEAS AND PERSPECTIVES Meta-ecosystems: a theoretical framework for a spatial ecosystem ecology Abstract Michel Loreau1*, Nicolas This contribution proposes the meta-ecosystem concept as a natural extension of the Mouquet2,4 and Robert D. Holt3 metapopulation and metacommunity concepts. A meta-ecosystem is defined as a set of 1Laboratoire d’Ecologie, UMR ecosystems connected by spatial flows of energy, materials and organisms across 7625, Ecole Normale Supe´rieure, ecosystem boundaries. This concept provides a powerful theoretical tool to understand 46 rue d’Ulm, F–75230 Paris the emergent properties that arise from spatial coupling of local ecosystems, such as Cedex 05, France global source–sink constraints, diversity–productivity patterns, stabilization of ecosystem 2Department of Biological processes and indirect interactions at landscape or regional scales. The meta-ecosystem Science and School of perspective thereby has the potential to integrate the perspectives of community and Computational Science and Information Technology, Florida landscape ecology, to provide novel fundamental insights into the dynamics and State University, Tallahassee, FL functioning of ecosystems from local to global scales, and to increase our ability to 32306-1100, USA predict the consequences of land-use changes on biodiversity and the provision of 3Department of Zoology, ecosystem services to human societies. University of Florida, 111 Bartram Hall, Gainesville, FL Keywords 32611-8525,