Introduction to Environmental Analysis Environ 239 Instructor: Prof. W. S. Currie GSIs: Nate Bosch, Michele Tobias Skills Unit 10: Integrating Ecology,

Slides:



Advertisements
Similar presentations
Module 11: Integrating Business Rules. Overview Lesson 1: Introduction to Business Rules Lesson 2: Integrating Business Rules.
Advertisements

By, Deepak George Pazhayamadom Emer Rogan (Department of ZEPS, University College Cork) Ciaran Kelly (Fisheries Science Services, Marine Institute) Edward.
Mission Geography Introduction to the National Geography Standards Geography for Life.
Carbon Cycle and Ecosystems Important Concerns: Potential greenhouse warming (CO 2, CH 4 ) and ecosystem interactions with climate Carbon management (e.g.,
Tools Dr. Saeed Shiry Amirkabir University of Technology Computer Engineering & Information Technology Department.
The current status of fisheries stock assessment Mark Maunder Inter-American Tropical Tuna Commission (IATTC) Center for the Advancement of Population.
Amanda Luna Mera ECL 212B H OW TO GET THERE FROM HERE : E COLOGICAL AND E CONOMIC DYNAMIC OF E COSYSTEM S ERVICE P ROVISION S ANCHIRICO AND S PRINGBORN,
Searching for a good stocking policy for Lake Michigan salmonines Michael L. Jones and Iyob Tsehaye Quantitative Fisheries Center, Fisheries and Wildlife.
Interactive Pattern Search in Time Series (Using TimeSearcher 2) Paolo Buono, Aleks Aris, Catherine Plaisant, Amir Khella, and Ben Shneiderman Proceedings,
1 Monte-Carlo Simulation Simulation with Spreadsheets.
Barents Sea fish modelling in Uncover Daniel Howell Marine Research Institute of Bergen.
Results 1 Introduction In the USA, on-line interactive clinical cases are increasingly being used to support and deliver the undergraduate paediatric curriculum.
MEASURE Evaluation MEASURE Evaluation’s Monitoring and Evaluation Workshop for Tuberculosis Programs.
Introduction. Contents  Network Management Overview Sample Scenario where NM is Applied 5 Management Functions Importance to Business Processes  Network.
A COURSE IN ENGLISH LANGUAGE TEACHING Unit 12 Integrated Skills Aims of the Unit: 1.to know the necessity of integrating the four language skills in ELT.
Chapter 8: Models and Simulations By Mohammad Ezmir.
Modeling and Simulation
Instructional Design of Distance Training TRDEV 533 Chapter 3.
Integrated Catchment Management Key Elements - Julie Burke.
1 Validation & Verification Chapter VALIDATION & VERIFICATION Very Difficult Very Important Conceptually distinct, but performed simultaneously.
© 2013 West Monroe Partners | Reproduction and distribution without West Monroe Partners prior consent prohibited 1.
DSS Modeling Current trends – Multidimensional analysis (modeling) A modeling method that involves data analysis in several dimensions – Influence diagram.
INTRODUCTION TO EMBEDDED SYSTEMS INTERFACING TO THE FREESCALE 9S12 Power Point Presentation Local Variables and Parameter Passing 8-1.
Tells - a facility for web-based, remote real time laboratory experiments University of Limerick Ireland.
THE PRIMARY CAUSE OF EXTINCTION.
Space, Relativity, and Uncertainty in Ecosystem Assessment of Everglades Restoration Scenarios Michael M. Fuller, Louis J. Gross, Scott M. Duke-Sylvester,
Identity and Inverse Matrices. Key Topics Identity matrix: a square matrix, multiplied with another matrix doesn’t change the other matrix (just like.
Modeling the Environment: A Call for Interdisciplinary Modeling 1 st Edition: nd Edition: 2009 (the benefits of interdisciplinary modeling using.
A model of the formation of fish schools and migrations of fish Simon Hubbard, Petro Babak, Sven Th.Sigurdsson,Kjartan G. Magnússon, ecological modeling,elsevier,2003.
Simulation is the process of studying the behavior of a real system by using a model that replicates the behavior of the system under different scenarios.
Software Engineering 1 Object-oriented Analysis and Design Chap 22 UML Tools and UML as Blueprint.
Estimating integrative effects of the H’s on salmon populations.
Understanding the role of science in defining ecological limits Edward Morgan PhD Candidate Urban Research Program Griffith University As a result of.
Curso de Lagunas Costeras Alice Newton Universidad de Algarve, Portugal Universidad EAFIT, Abril 8-23, 2008.
Introduction to Environmental Analysis Environ 239 Instructor: Prof. W. S. Currie GSIs: Nate Bosch, Michele Tobias Skills Unit 11: Modeling animal populations.
THE SUPPORTING ROLE OF ONTOLOGY IN A SIMULATION SYSTEM FOR COUNTERMEASURE EVALUATION Nelia Lombard DPSS, CSIR.
What is Global Environmental Change? Changes in the biogeophysical environment caused or strongly influenced by human activities Land cover & soils Atmospheric.
Using games and simulations for supporting learning Presenter: Hsiao-lan Lee Professor: Ming-Puu Chen Date: 03 / 09 / 2009 de Freitas, S. I. (2006). Using.
The management of small pelagics. Comprise the 1/3 of the total world landings Comprise more than 50% of the total Mediterranean landings, while Two species,
Scientific Method. Ask a question Ask a question.
Probability Refresher COMP5416 Advanced Network Technologies.
Socio-economic reference scenarios: Introduction and scenario software (PoleStar and WEAP) Thomas E. Downing Stockholm Environment Institute Oxford.
Introduction to Environmental Analysis Environ 239 Instructor: Prof. W. S. Currie GSIs: Nate Bosch, Michele Tobias Final Review.
MRC-MDBC STRATEGIC LIAISON PROGRAM BASIN DEVELOPMENT PLANNING TRAINING MODULE 2 APPLICATION OF BASIN PLANNING PRINCIPLES Phnom Penh January 2003.
Management Strategy Evaluation (MSE) Bob O’Boyle & Tana Worcester Bedford Institute of Oceanography Dartmouth, Nova Scotia, Canada.
Center for Satellite Applications and Research (STAR) Review 09 – 11 March 2010 Image: MODIS Land Group, NASA GSFC March 2000 Ecosystem Theme Introduction.
Lesson 8: The OOP concepts of Polymorphism and Interfaces.
BASIN SCALE WATER INFRASTRUCTURE INVESTMENT EVALUATION CONSIDERING CLIMATE RISK Yasir Kaheil Upmanu Lall C OLUMBIA W ATER C ENTER : Global Water Sustainability.
Introduction to Environmental Analysis Environ 239 Instructor: Prof. W. S. Currie GSIs: Nate Bosch, Michele Tobias Introduction to Course Themes and Goals.
ASTRONAUT ROBOT MISSION SIMULATOR Presenter Corey Casado: Undergraduate Computer Science Major, Japanese Minor Mentors Winslow Burleson: Assistant Professor.
GECAFS Research in the Caribbean. Regional Characteristics Many small island states Diverse cultures, environments and food provision systems Great dependence.
Www3.informatik.uni-wuerzburg.de Institute of Computer Science Chair of Communication Networks Prof. Dr.-Ing. P. Tran-Gia Simulation Framework for Live.
EFIMAS - Operational Evaluation Tools for Fisheries Management Options EUROCEAN 2004, GALWAY, IRELAND, slide EU FP6 SSP8-CT EFIMAS Objectives.
MOBILITY AND THE SUSTAINABILITY OF THE PASTORAL PRODUCTION SYSTEM IN AFRICA Perspectives of Contrasting Paradigms.
Compare and Contrast.
Multiple Season Study Design. 2 Recap All of the issues discussed with respect to single season designs are still pertinent.  why, what and how  how.
The Deaf/Hard of Hearing Technology RERC (DHH-RERC)
Vibration in turbine blades must be prevented
Business Environment Dr. Aravind Banakar –
Business Environment
Business Environment
Geodesign Design – Everyone designs who devises courses of action aimed at changing existing situations into better ones (Herbert Simon) Geodesign – understanding.
Optimization Based Design of Robust Synthetic
An introduction to Simulation Modelling
שילוב קורסים לפיתוח מיומנויות למידה במכללה להנדסה
AVOIDANCE OF SYSTEM DEADLOCKS IN REAL TIME CONTROL OF FLEXIBLE MANUFACTURING SYSTEMS By Richard A. Wysk.
Georg Umgiesser and Natalja Čerkasova
Жирэмслэлт ба тархины харвалт
By Stephen Beville Supervisors: Geoff Kerr & Ken Hughey
Research on key technologies and applications of alternative habitats protection in tributary WU Sainan, LIU Chunna National Research Center for Sustainable.
Presentation transcript:

Introduction to Environmental Analysis Environ 239 Instructor: Prof. W. S. Currie GSIs: Nate Bosch, Michele Tobias Skills Unit 10: Integrating Ecology, Engineering, and Management

Questions for class discussion after each group: 1.Do you agree with the group’s conclusion about the modeled simulations? 2.Do you think these simulations are realistic? 3.What are some limitations of the simulations performed? 4.Did we learn anything about decision making for a real fishery?

What we learned about the use of models to aid in decision making Simulating multiple contrasting scenarios can be useful, but it might it might take some exploration to find the best set of scenarios Year-to-year randomness can alter the way a resource needs to be managed. Key state variables (such as adult stock size, or number of migrating smolts) need to be monitored each year so the manager knows what the system is doing Simulation of one effect alone (e.g. dam construction) does not tell you how that might interact with other effects (e.g. development in the watershed)

What we learned about the use of models to aid in decision making (2) Adjusting parameters to test scenarios seems arbitrary unless you have some data on what the values are and how they change under the different scenarios It seemed that just about every change we simulated seemed to degrade the resource in some way