CABIN Science Forum 2017/Forum des Sciences du RCBA 2017

 
Available CRI Courses and Workshops
Courses/Workshops Delivery/Location Dates  
a a a Register
 

The Canadian Aquatic Biomonitoring Network (CABIN) is an aquatic biomonitoring program for assessing the health of fresh water ecosystems in Canada. CABIN is based on the network of networks approach that promotes inter-agency collaboration and data-sharing to achieve consistent and comparable reporting on fresh water quality and aquatic ecosystem conditions in Canada. Environment and Climate Change Canada (ECCC) will be co-hosting a biennial Science forum in Edmonton, AB, to provide CABIN partners and those interested in biological assessment an opportunity to learn and share their experiences, provide advice on the direction of the CABIN program, and interact and find collaborations with others.

Dates: February 28 - March 1, 2017
Location: Alberta Innovates - Technology Futures Building, 250 Karl Clark Road NW

Presentation themes

  • Status and direction of the program
  • CABIN applications in government for environmental conservation and protection
  • CABIN application in the natural resources sector and its role in decision making
  • Biomonitoring activities in the Prairies
  • CABIN methodological considerations for lab, field and statistical assessment
  • CABIN Research and Development

Interactive discussions

  • How can CABIN be more effective for monitoring, assessment and decision-making?
  • How can collaborations among biomonitoring activities be enhanced to achieve common goals?
  • What are some challenges encountered by users applying CABIN?
  • What improvements can be made to CABIN, including training, method development, online tools, and communication?
  • Are there other areas of research that might be important for CABIN?

Registration

Registration begins January 2 to February 10, 2017 through the Canadian Rivers Institute webpage. Registration fee for in-person attendance is $55, no fee for webinar participation. In-person attendance provides valuable networking opportunities during coffee breaks and lunch as well as during a poster session. Late registrations will be accepted based on availability.

Payment Details

Registration fees can be paid via credit card or an invoice may be requested through the Canadian Rivers Institute. For details on how to complete your payment or request an invoice, please email Sarah Tuziak.

Presentations

If you are interested in presenting an oral or poster presentation, please register by January 20 and indicate your interest on the registration form and you will be contacted by the organizing committee. 

Accommodations

A block of rooms has been reserved at Holiday Inn Express and Suites Edmonton South  2440 Calgary Trail (780-440-5000) for $110/night. Reserve your room by January 27, 2017 to ensure the group rate.

Presented by

Environment and Climate Change Canada, Alberta Environment and Parks, Canadian Rivers Institute, and Innotech Alberta


Le Réseau canadien de biosurveillance aquatique (RCBA) est un programme de biosurveillance aquatique pour évaluer la santé des écosystèmes d’eau douce du Canada. Le RCBA s’appuie sur l’approche d’un réseau de réseaux qui promeut  la collaboration et le partage des données entre les interinstitutions afin d’arriver à une production cohérente et comparable de rapports  sur la qualité de l’eau douce et l’état des écosystèmes aquatiques au Canada. Environnement et Changement climatique Canada (ECCC) sera l’hôte d’un Forum bisannuel des Sciences à Edmonton, en Alberta, afin de fournir aux partenaires du RCBA et à ceux intéressés à l’évaluation biologique une opportunité d’apprendre et de partager leurs expériences, de fournir un avis sur la direction du programme du RCBA, et d’interagir et développer des collaborations.

Dates: February 28 - March 1, 2017
Lieu de l'événement: Alberta Innovates - Technology Futures Building, 250 Karl Clark Road NW

Thèmes des présentations

  • Statut et direction du programme
  • Applications du RCBA dans le gouvernement pour la conservation et la protection de l’environnement
  • Application du RCBA dans le secteur des ressources naturelles et son rôle dans la prise de décision
  • Activités de biosurveillance dans les Prairies
  • Considérations méthodologiques du RCBA pour le laboratoire, le terrain et l’évaluation statistique
  • Recherche et développement du RCBA

Discussions interactives

  • Comment le RCBA peut-il être plus efficace pour réaliser le suivi, l’évaluation et la prise de décision?
  • Comment les collaborations à même les activités de biosurveillance peuvent-elles être rehausser afin d’atteindre les buts communs?
  • Quels sont certains des défis rencontrés par les usagers appliquant le RCBA?
  • Quelles améliorations peuvent être apportées au RCBA, incluant la formation, le développement de méthodes, les outils en ligne, et la communication?
  • Existe-t-il d’autres domaines de recherche qui puissent-être importants pour le RCBA?

Inscription

L’inscription débute le 2 janvier jusqu’au 10 février 2017 via la page Web du Canadian Rivers Institute. Les frais d’inscription pour la participation en personne sont de $55, aucun frais pour la participation via webinaire. La participation en personne fournit des opportunités précieuses de réseautage durant les pauses-café et le lunch ainsi que durant une session d’affiches. Les inscriptions tardives seront acceptées selon la disponibilité.

Détails du paiement

Les frais d'inscription peuvent être payés par carte de crédit ou une facture peut être demandée par l'entremise de Canadian Rivers Institute. Pour plus de détails sur la façon de compléter votre paiement ou de demander une facture, veuillez envoyer un courriel à Sarah Tuziak.

Présentations

Si vous êtes intéressés à effectuer une présentation orale ou par affiche, veuillez s’il vous plaît vous inscrire avant le 20 janvier et indiquer votre intérêt sur la formule d’inscription et le comité organisateur communiquera avec vous. 

Hébergement

Un bloc de chambres a été réservé à Holiday Inn Express and Suites Edmonton South  2440 Calgary Trail (780-440-5000) pour $110/nuit. Réservez votre chambre avant le 27 janvier 2017  afin de bénéficier du tarif  de groupe.

Présenté par

Environnement et Changement climatique Canada, Alberta Environment and Parks, Canadian Rivers Institute, et  Innotech Alberta

 
 
 

Current CRI Field Courses

 
Available CRI Courses and Workshops
Courses/Workshops Delivery/Location Dates  
a a a
 

Practical Hydrology, Hydrometry and Fluvial Geomorphology
Instructor
André St-Hilaire, PhD, CRI Science Director

Overview
Hydrology is an essential component of a large number of ecological processes in rivers and estuaries. Understanding of the components of a hydrological budget and water quality processes is helpful in the study of chemical/biological interactions in aquatic ecosystems. Over the course of the last decades, the modernization of monitoring tools has allowed most water resources managers to distance themselves from data acquisition. However, understanding the requirements of appropriate measurement techniques for discharge, rainfall and water quality remains essential to appreciate the uncertainty of data that are available.

Key Learning Objectives
The emphasis of this field course is on field techniques. Objectives include:

Introduction to the water cycle and hydrological budget
Familiarization with different flow measurement techniques
Construction of rating curves
Introduction to meteorological, water temperature and sediment measurements
Details
This 3-day field course is offered through the Institut National de la Recherche Scientifque (INRS) at the Sacré-Coeur Field Station located near Sacré-Coeur, QC.

Course Fees*
Professionals $750.00
* Includes accommodations and food at the field station
Register
2016 Course Schedule
Course completed for 2016

 

Field Safety: Swiftwater Rescue and/or Wilderness First Aid
Overview
Swiftwater Safety Rescue Technician (Level 2) (2 days)
Lead Instructor: Rob Lemmon, Maritime DayTripping

Rescue Canada's industrial swiftwater program is designed specifically for those individuals and agencies whose primary legal responsibility is data collection and natural resource rehabilitation or for those individuals and agencies working with man-made structures  in and around moving water environments. Their primary responsibility is personal safety while maintaining efficient job completion.

This is a 2-day course with the first half day spend in the classroom, and then 1.5 days on the water.  Dry suits are required and are available for rental.

Advance Wilderness & Remote First Aid (4 days, 1 evening):
Lead Instructor: Blair Doyle, Wilderness and Remote First Aid

Intended for individuals who participate in life outside the immediate access of EMS, the Wilderness & Remote First Aid program of the Canadian Red Cross is an enhancement of Standard First Aid concepts to meet the demands of remote environments. Through reality-based scenarios, participants experience how and why WRFA applies a higher level of care. Beyond understanding the differences in practice between WRFA and traditional first aid, participants explore remote first aid realities and learn essential leadership, application of principled approaches, and management of environmental threats. Emphasis is on practical skills, decision making, and dealing with the outdoors.

Course Fees
Swiftwater Safety Rescue Technician (Level 2) $375.00 + HST
2-day dry suit rental  + $65.00 + HST
Advanced Wilderness & Remote First Aid  $295.00 + HST
Register
Top

 

2016 Course Schedule
Advanced Wilderness and Remote First Aid: Course completed for 2016
Swiftwater Rescue: Course completed for 2016

 
 
 

CRI Electrofishing Online and Field Training Certification Program

        

 
Available CRI Courses and Workshops
Courses/Workshops Delivery/Location Dates  
a a a
 

Electrofishing

Dr. Michelle Gray is a professor of environmental management with the Faculty of Forestry and Environmental Management.  Michelle has almost 20 years of lab and field experience in aquatic ecotoxicology, monitoring, and assessment. Michelle developed the online electrofishing course in 2006 and continues to facilitate and instruct both the online and field components.  Michelle’s current research interests continue to look at novel and integrated tools to assess aquatic environmental health, and the utility of small-bodied fish species in monitoring by investigating their basic life history characteristics.

Mark has been a fisheries technician/biologist with the New Brunswick Cooperative Fish and Wildlife Research Unit (NBCFWRU) and Canadian Rivers Institute (CRI) for the past 20 years.  He is currently a senior research assistant with CRI’s Mactaquac Aquatic Ecosystem Study (MAES).  Mark will be responsible for the delivery of the field practicum component of the backpack and boat courses.

Kirk has been working as a Field Technician for over 13 years and has a broad range of field experience in aquatic, marine and terrestrial ecosystems across Canada.  He is currently the Senior Field Technician in the Watershed & Aquatics Research & Monitoring Lab, headed by Dr. Michelle Gray.  Kirk will be responsible for the delivery of the Backpack electrofishing field practicum component of the course.

Course Overview

Electrofishing is a commonly used fish collection method in streams, rivers, and lakes.  Although not legislated in most provinces in Canada (except for BC), electrofishing training provides employers with evidence of due diligence and provides trainees with adequate knowledge of the risks and safety features of these machines.  We focus on backpack electrofishing training, but also have boat electrofishing training upon request.

Learning Objectives

  • What is electrofishing?
  • Why electrofish?
  • Electrical and electrofishing theory
  • Impacts of electrofishing
  • Electrofishing safety guidelines
  • Field procedures and techniques
  • Recommended standard operating procedures

Details

This course is considered a ‘blended’ course – course materials are delivered via an online course and then all participants must complete a field practicum (half day for backpack, full day for boat and backpack).  The online materials are delivered using an online learning management system called Desire2Learn.  Participants must complete the online component (pass is 80% on final quizzes), a minimum of 48 hours before attending their designated field practicum.

This course is recognized by DFO as an acceptable backpack electrofishing training course. Register well in advance of field training to ensure timely and sufficient access to the online materials before the field practicum.  Electrofishing certificate recipients should recertify within every 5 years to refresh their skills and update their certificate.

All participants must have first aid and CPR training to receive their electrofishing certificate, which can be completed after the field session.

If you are completing the "refresher" electrofishing training, you are only required to attend the practical field session.

 

Dr. Michelle Gray, PhD, Canadian Rivers Institute and Faculty of Forestry and Environmental Management, University of New Brunswick

Mark Gautreau, BSc, Canadian Rivers Institute and Department of Biology, University of New Brunswick


Kirk Roach, BSc, Canadian Rivers Institute and Faculty of Forestry and Environmental Management, University of New Brunswick

Online Course Fees

Backpack Electrofishing

Registrant Type Registration Fees
Professionals $500.00 
Students/NGOs/First Nations $375.00
Refresher $250.00

Boat Electrofishing

Registrant Type Registration Fee
Professionals $500.00
Students/NGOs/First Nations $375.00
Refresher $200.00

Backpack and Boat Electrofishing

Registrant Type Registration Fee
Professionals $800.00
Students/NGOs/First Nations $600.00

 

Course Schedule

Online course: Available May 1, 2017 to September 30, 2017
Field practicum dates: TBD in 2017

NOTE: Other dates may be added throughout the season based on demand (a minimum of 5 participants is needed to run a field practicum).

To discuss options for additional location, dates or boat electrofishing training, please contact CRI Training.

 

Register Here

 
 
 

Current CRI Workshops

"Dr. Jessica Orlofske was extremely knowledgeable about the samples we looked at and her lecture revealed in-depth experience with sampling procedures, varying protocols, and BMI identification. Dr. Orlofske was also very helpful in support of the workshop and in identification as well."

- Testimonial from a previous student who participated in CRI's Benthic Macroinvertebrate Identification workshop

    

 
Available CRI Courses and Workshops
Courses/Workshops Delivery/Location Dates  
a a a
 

Understanding Environmental Management and Policymaking to Better Engage and Contribute Policy

Roland Cormier holds an MSc in Biology from the “Université de Moncton” (Canada). He has more than 35 years of experience in fisheries, fish and seafood safety, environmental assessment as well as coastal and oceans management.

He originally started to work for Fisheries and Oceans Canada doing biological research and conducting fisheries stock assessment on shrimp (Pandalus borealis) and snow crab (Chionoecetes opilio). Subsequently, his work focused on fish and seafood safety inspection program effectiveness, bio-toxin monitoring programs and auditing of HACCP based program performance. After the creation of the Canadian Food Inspection Agency, he led the development of inspection information systems and managed regulatory policy development for the Fish Inspection Program in Canada.  In his most recent position, he led the Centre of Expertise for Ecosystem Risk Management at Fisheries and Oceans Canada. He also worked in fish and seafood HACCP programs within the context information management at the Food and Agriculture Organization of the United Nations. In addition to being an Associate of the Institute of Estuarine & Coastal Studies at the University of Hull, United Kingdom, he is also a guest scientist at Helmholtz-Zentrum Geesthacht, Centre for Materials and Coastal Research, Institute for Coastal Research in Geesthacht, Germany. His current interests are in related to environmental management from a legislative and policy analysis using ISO risk management processes and controls assessment.

He is also a member of the International Council for the Exploration of Sea (ICES) working group on marine planning and coastal zone management and the Group of Experts on Risk Management in Regulatory Systems of the United Nations Economic Commission for Europe. The present focus is on risk approaches to legislative systems of management controls in relation to UN sustainability goals. He is currently active as a consultant in environmental risk management in Europe, Canada and the United States as well as a lecturer in universities in Canada and Europe.

Course Context

Today, environmental concerns and sustainability figure highly in everyday life. One the one hand, development moves forwards in the pursuit of opportunities and the betterment of society while the demands on the environment and its resources are ever increasing. The scientific community are raising concerns of environmental changes and degradation occurring in both terrestrial and marine ecosystem. We hear of environmental assessments and the call for public input into seemingly complex consultation processes. We also hear of the need to become “green” through conservation and reduction of waste while being reminded that the protection and conservation nature is urgently needed. At times, it is not clear who makes decisions, who should be accountable for such decisions and who provides the information for making these decisions. The complexity of it all can leave one to wonder if there is anything one can do!

Course Objective

This course attempts to demystify the complexity of environmental management by providing a more in-depth understanding of the processes and approaches involved in environmental assessments and ecosystem approaches to management. It examines the role of public policymaking processes in developing sustainability goals and objectives in contrast with regulatory processes involved in environmental assessments and management. It also examines of the role that legislation and policy, public consultation and scientific advice plays in framing the context and guiding decision-making. Building upon current approaches to environmental impact assessment, integrated oceans and coastal planning, nature conservation and sustainable development goals, this course provides a basic understanding of the underlying principles, roles and accountabilities of policymakers and regulators leading these processes to enable active participation by anyone involved in such decision-making. It particularly highlights the intent of public consultations, stakeholder engagement and scientific advice to provide a better understanding of the very different role that the public, stakeholders, and experts should assume in the shaping of public policy and regulatory decision-making.

Course Curriculum

Each lecture is topic specific moving from the basics of environmental assessment to policymaking and managing risks. The duration of each lecture is 1.5 hours. The lecture formats are a mix of presentation and discussion. Building on the material presented during the lectures, a 2 day workshop is finally delivered to bring all the elements together in practical marine planning exercise.

1. The role of environmental impact assessment in regulatory approval processes
2. Using strategic environmental assessment to shape public policy
3. The differences between an ecosystem approach to scientific research and management
4. The significance of impacts to ecological features and function
5. The relevance of ecosystem services to human wellbeing
6. Understanding the costs and the benefits of a course of action in decision-making
7. Setting the stage with legislation to better manage through regulations, standards and guidelines
8. Preventing the causes and mitigating the consequences to achieve sustainability objectives
9. Adapting and changing a course of action as a result of monitoring and review

Roland Cormier, MSc., PhD. Candidate
Helmholtz-Zentrum Geesthacht
Centre for Materials and Coastal Research
Institute for Coastal Research

Online Course Fees

Registrant Type Registration Fees
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Workshop Fees

Registrant Type Registration Fees
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST


 

Course Schedule

Webinar series:

9 x 1.5 hour webinars starting January 18, 2017 until May 10, 2017.

Webinar times: 4:00-5:30
Webinar dates: January 18, January 25, February 8, February 22, March 15, March 29, April 12, April 26, May 10
Workshop:

Roland will be instructing a 2-day workshop on May 17 and 18, 2017 to apply the concepts learned in the webinar series.

Registration for the webinars closes January 16, 2017

Registration for the workshop closes May 1, 2017


Register Here

 

 

Introduction to R for Ecological Data Analysis

CRI is fortunate to have Dr. Lindsay Brin, a CREATE WATER Postdoctoral fellow with Dr. Karen Kidd, share her experience in, and passion for, working with data using the statistical programming language R in a 2-day workshop this January 12 and 13, 2016.

Dr. Brin has spent over a decade conducting graduate and postdoctoral research in the fields of biogeochemistry and microbial ecology giving her a broad skill set in the management and analysis of ecological data.

Course overview

R is a powerful, free, open-source, and widely used tool for working with data that can allow you to streamline your analysis process, increase reproducibility, catch and avoid mistakes, and access newly developed analyses and statistical approaches.

This workshop will provide participants with the tools for reading in, manipulating, analyzing, and visualizing data in R.  For example, we will cover topics such as cleaning and organizing data, joining data sets, working with factors, writing functions, using for loops and if…else statements, etc.  

A primary goal is to help participants become comfortable working in a coding environment. To accomplish this, the workshop format will include a combination of explanation, demonstration, and extensive hands-on practice using a variety of sample datasets.  Participants will leave with basic skills that can be put into use immediately, as well as a platform from which to learn more complex analyses.

Learning objectives

At the end of this 2-day workshop, participants will:

  • Have a conceptual understanding of how R works
  • Be aware of the availability of relevant packages to expand R’s functionality
  • Be able to use R as a calculator and basic data manipulation tool
  • Be able to write simple functions in R to automate analyses
  • Be able to produce useful graphical and numeric summaries of data
  • Be able to implement basic statistical tests (ANOVA, linear regression

Dr. Lindsay Brin
Postdoctoral fellow
CREATE WATER
Canadian Rivers Institute
Department of Biology, University of New Brunswick – Saint John

Workshop Fees

The Introduction to R for ecological data analysis workshop is offered at no cost to anyone who wishes to travel to New Brunswick to attend.

A webinar broadcast will be available for those who live outside of the province and cannot attend the workshop personally.

This workshop can be used as a prerequisite for anyone wishing to participate in any of Dr. Dauphin's or Drs. Monk and Lento's workshops.

If you already have knowledge in R and do not wish to complete Dr. Brin's workshop, you will need to obtain instructor consent before your registration is processed for the other workshops.

 

Course Schedule

This 2-day workshop will take place on January 12 and 13, 2016.

SOLD OUT - Stay tuned for future offerings of the course

 

 

 

Basic Statistics in R for Aquatic Scientists 

Dr. Jen Lento is a Research Scientist who specializes in quantitative analysis of community data, particularly benthic macroinvertebrates, for rivers and lakes. She has been conducting statistical assessments of freshwater data for over 14 years, and has extensive experience applying both univariate and multivariate techniques to evaluate community structure and function of algae, macroinvertebrates, and fish in both spatially and temporally expansive datasets. Jen has been teaching biostatistics at UNB (undergraduate/graduate-level) for the past 3 years and previously developed a two-day multivariate analysis workshop for the CRI. Known for her enthusiastic presentation of material, Jen is passionate about teaching statistics and firmly believes that with the proper knowledge foundation, anyone can become confident in applying statistics to their data.

Dr. Wendy Monk is a Research Associate with the Canadian Rivers Institute within the Faculty of Forestry and Environmental Management at the University of New Brunswick. With more than ten years’ post-doctoral research experience, she is an interdisciplinary scientist integrating hydrology, aquatic ecology, and geospatial analyses within freshwater ecosystems. Her research combines data mining methods, geospatial analyses and multivariate statistical techniques to quantify variability in physical driver variables (e.g., climate, landscape and hydrology) and patterns in aquatic communities across a range of temporal and spatial scales. Wendy’s research and collaborations includes a hydrological regime classification of Canadian rivers, extensive flow-ecology analyses using the benthic macroinvertebrate community, the development of flow stressor-specific diagnostic indices, the development and application of regional reference condition models, and the modelling of future river temperature scenarios.​

Course Overview

This one-day workshop offers an introduction to the basics of statistics for anyone who has never taken a statistics course or who needs a refresher. The workshop will review the foundation of most statistical analysis, including the concept of statistical significance and how it is quantified. The mechanics of a number of basic statistical tests will be covered to give participants a general familiarity with the major families of univariate analysis.

Participants will gain an understanding of how to choose an analytical test based on their data and their questions, and will learn how to formulate statistical hypotheses for basic analytical tests. The workshop will have a hands-on component, allowing participants to learn how to run introductory statistical analysis in R, including t-tests, basic ANOVA, correlation, and simple linear regression.

Participants should come to this workshop with a basic familiarity with the use of R and RStudio (including how to load and visualize data and how to load packages).

Learning Objectives

At the end of this 1-day workshop, participants will:

  • Understand the concepts of alpha, p, Type I and Type II errors, and power
  • Be able to develop null and alternate hypotheses for a number of basic univariate statistical tests, and recognize how to test hypotheses using a test statistic and its distribution
  • Be able to determine the general family of univariate tests to use, based on the data and the question of interest
  • Understand the general mechanics of a t-test (one-sample, two-sample, and paired) one- and two-way factorial ANOVA, correlation, and simple linear regression and be able to apply these tests to their data

Dr. Jennifer Lento

Research Scientist, Canadian Rivers Institute and Department of Biology, University of New Brunswick

Dr. Wendy Monk

Research Associate, Canadian Rivers Institute and Faculty of Forestry and Environmental Management, University of New Brunswick

Workshop Fees

Registrant Type Registration Fee
Professional $125.00 + HST
Students/NGOs/First Nations $75.00 + HST

 

Course Schedule

This 1-day workshop will take place on January 20, 2017.

Registration closes on January 18, 2017

CANCELLED 

Please, check out CRI's Basic Statistics for Environmental Data (using 'R') and Dr. Brin's Introduction to R for Ecological Data Analysis (coming soon) online courses to prepare you for other CRI statistics courses instructed by Drs. Lento and Monk!

 

Register Here

 

General Introduction to Multivariate Statistics in R for Aquatic Scientists

Dr. Jen Lento is a Research Scientist who specializes in quantitative analysis of community data, particularly benthic macroinvertebrates, for rivers and lakes. She has been conducting statistical assessments of freshwater data for over 14 years, and has extensive experience applying both univariate and multivariate techniques to evaluate community structure and function of algae, macroinvertebrates, and fish in both spatially and temporally expansive datasets. Jen has been teaching biostatistics at UNB (undergraduate/graduate-level) for the past 3 years and previously developed a two-day multivariate analysis workshop for the CRI. Known for her enthusiastic presentation of material, Jen is passionate about teaching statistics and firmly believes that with the proper knowledge foundation, anyone can become confident in applying statistics to their data.

Dr. Wendy Monk is a Research Associate with the Canadian Rivers Institute within the Faculty of Forestry and Environmental Management at the University of New Brunswick. With more than ten years’ post-doctoral research experience, she is an interdisciplinary scientist integrating hydrology, aquatic ecology, and geospatial analyses within freshwater ecosystems. Her research combines data mining methods, geospatial analyses and multivariate statistical techniques to quantify variability in physical driver variables (e.g., climate, landscape and hydrology) and patterns in aquatic communities across a range of temporal and spatial scales. Wendy’s research and collaborations includes a hydrological regime classification of Canadian rivers, extensive flow-ecology analyses using the benthic macroinvertebrate community, the development of flow stressor-specific diagnostic indices, the development and application of regional reference condition models, and the modelling of future river temperature scenarios.​

Course Overview

This one-day workshop will introduce participants to the theory and practice of using multivariate statistics to analyze community and environmental data. The workshop will provide an overview of the mechanics and benefits of multivariate analysis, contrast between grouping-based methods and gradient-based methods, and explain the interpretation of results from these analyses. Through a combination of lecture material and hands-on training conducting analysis in R, participants will gain an understanding of classification methods (including cluster analysis, ANOSIM, and discriminant function analysis) and distance-based ordination methods (including non-metric multidimensional scaling and principal coordinates analysis).

This workshop is an ideal introduction for anyone who has limited experience with multivariate analysis, and acts as a precursor to the more advanced Ordination workshop. Participants should come to this workshop with a basic familiarity with the use of R and RStudio (including how to load and visualize data and how to load packages).

Learning Objectives

At the end of this interactive 1-day workshop, participants will:

  • Understand the difference between univariate and multivariate analysis
  • Recognize the different families of multivariate analysis and their purpose
  • Understand the basic mechanics and interpretation of classification methods (including cluster analysis, ANOSIM, and discriminant function analysis) and distance-based ordination methods (including non-metric multidimensional scaling and principal coordinates analysis)
  • Be able to interpret a multivariate plot and statistical output and understand how to apply the interpretation to their data

Dr. Jennifer Lento

Research Scientist, Canadian Rivers Institute and Department of Biology, University of New Brunswick

Dr. Wendy Monk

Research Associate, Canadian Rivers Institute and Faculty of Forestry and Environmental Management, University of New Brunswick

Workshop Fees

Registrant Type Registration Fee
Professionals $125.00 + HST
Students/NGOs/First Nations $75.00 + HST

 

Course Schedule

This 1-day workshop will take place on February 10, 2017.

Registration closes on February 8, 2017

 

Register Here

 

Introduction to Bayesian Statistics

Course Overview

Bayesian statistics have become a very useful tool to analyze ecological data: they provide a convenient framework to use data to make inferences about nature and allow adding previous information through the use of prior distribution.

This one day workshop will be divided in two parts:

The first part will be present the history and general concepts behind Bayesian statistics. The participants will be introduced to the main probability distributions and their properties, as well as good practice way of thinking about the lecture based introduction.

During the second part the participants will have a chance to implement ecology-related models (capture-recapture) of increasing complexity to become familiar with the concepts introduced in the first part of the workshop as well as using the Bayesian inference software OpenBUGs.

Learning Objectives

  • Have a conceptual understanding of Bayesian statistics and its strengths and limitations
  • Understand what a probability distribution is (and which one are mainly used)
  • Be able to use OpenBUGs to implement simple models and understand the outputs

Dr. Guillaume Dauphin
Post-doctoral Fellow
Canadian Rivers Institute
University of New Brunswick
Department of Biology

Workshop Fees

The Introduction to Bayesian Statistics workshop is offered at no cost to anyone who wishes to travel to New Brunswick to attend.

A webinar broadcast will be available for those who live outside of the province and cannot attend the workshop personally.

Dr. Brin's workshop can be used as a prerequisite for anyone wishing to participate in Dr. Dauphin's workshop's.

Dr. Dauphin's Introduction to Bayesian Statistics is a prerequisite for his Hierarchical Bayesian Modelling in Ecology workshop. Again, if you have previous knowledge in Bayesian Statistics, instructor consent can be obtained to participate in the later workshop.

If you already have knowledge in R and do not wish to complete Dr. Brin's workshop, you will need to obtain instructor consent before your registration is processed for the other workshops.

 

Course Schedule

This 1-day workshop will take place on February 17, 2017.

Registration closes on February 15, 2017

 

Register Here

 

​Linear Regression Analysis in R for Aquatic Scientists

Dr. Jen Lento is a Research Scientist who specializes in quantitative analysis of community data, particularly benthic macroinvertebrates, for rivers and lakes. She has been conducting statistical assessments of freshwater data for over 14 years, and has extensive experience applying both univariate and multivariate techniques to evaluate community structure and function of algae, macroinvertebrates, and fish in both spatially and temporally expansive datasets. Jen has been teaching biostatistics at UNB (undergraduate/graduate-level) for the past 3 years and previously developed a two-day multivariate analysis workshop for the CRI. Known for her enthusiastic presentation of material, Jen is passionate about teaching statistics and firmly believes that with the proper knowledge foundation, anyone can become confident in applying statistics to their data.

Dr. Wendy Monk is a Research Associate with the Canadian Rivers Institute within the Faculty of Forestry and Environmental Management at the University of New Brunswick. With more than ten years’ post-doctoral research experience, she is an interdisciplinary scientist integrating hydrology, aquatic ecology, and geospatial analyses within freshwater ecosystems. Her research combines data mining methods, geospatial analyses and multivariate statistical techniques to quantify variability in physical driver variables (e.g., climate, landscape and hydrology) and patterns in aquatic communities across a range of temporal and spatial scales. Wendy’s research and collaborations includes a hydrological regime classification of Canadian rivers, extensive flow-ecology analyses using the benthic macroinvertebrate community, the development of flow stressor-specific diagnostic indices, the development and application of regional reference condition models, and the modelling of future river temperature scenarios.​

Course Overview

This two-day workshop will provide a detailed overview of the use of linear regression for prediction and hypothesis testing in biology, including strategies for incorporating multiple explanatory variables and comparing regressions. The workshop will cover the distinction between correlation and regression, and will delve into the mechanics of simple and multiple linear regression, model selection for multiple regression, the use of polynomial regression, and comparison of regressions using ANCOVA.

The workshop will include a combination of lecture material, discussion, and hands-on training in the completion of these analyses through an R tutorial. Participants should have basic knowledge of statistics or should have taken the Basic Statistic workshop. Participants should also come to this workshop with a basic familiarity with the use of R and RStudio (including how to load and visualize data and how to load packages).

Learning Objectives

At the end of this interactive 2-day workshop, participants will:

  • Understand the concept of linear regression for prediction and hypothesis testing
  • Be able to apply strategies for incorporating multiple variables into a model to predict values of a dependent variable
  • Understand how to select a model from a number of different options
  • Recognize when polynomial models are needed and understand how to apply these models to the data
  • Be familiar with the use of ANCOVA to compare linear and polynomial regressions, and understand how to test the effect of additional environmental drivers on regression slopes

Dr. Jennifer Lento

Research Scientist, Canadian Rivers Institute and Department of Biology, University of New Brunswick

Dr. Wendy Monk

Research Associate, Canadian Rivers Institute and Faculty of Forestry and Environmental Management, University of New Brunswick

Workshop Fees

Registrant Type Registration Fee
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Course Schedule

This 2-day workshop will take place on February 20 and 21, 2017.

Registration closes on February 18, 2017
 

 

Register Here

 

Hierarchical Bayesian Modelling in Ecology

Course Overview

This workshop is recommended for participants who have already taken the “Introduction to Bayesian Statistics” course. The course will provide a quick refresher on Bayesian statistics and OpenBUGS followed by an introduction to hierarchical modelling. The participants will be able to apply theory through some ecology-related examples.

Participants are encouraged to bring their own data sets as some time will be set aside for them to discuss ways to implement hierarchical models to their own needs.

Learning Objectives

  • Have a conceptual understanding of what a hierarchical model is
  • Be able to implement a hierarchical model in OpenBUGSs

Dr. Guillaume Dauphin
Post-doctoral Fellow
Canadian Rivers Institute
University of New Brunswick
Department of Biology

Workshop Fees

The Hierarchical Bayesian Modelling in Ecology workshop is offered at no cost to anyone who wishes to travel to New Brunswick to attend.

Dr. Dauphin's Introduction to Bayesian Statistics is a prerequisite for his Hierarchical Bayesian Modelling in Ecology workshop. If you have previous knowledge in Bayesian Statistics, instructor consent can be obtained to participate in the later workshop.

 

Course Schedule

This 1-day workshop will take place on March 3, 2017.

Registration closes on March 1, 2017

 

Register Here

 

Benthic Macroinvertebrate Identification Workshop

One of the Canadian Rivers Institute’s newest Science Directors, Dr. Jessica Orlofske will be returning to Fredericton to offer her Benthic Macroinvertebrate Identification Workshop on March 18 and 19, 2017.

Dr. Orlofske has been actively researching invertebrates, specifically aquatic insects, for over 14 years working on such topics as protozoan parasites of Odonates (dragonflies and damselflies), and using Odonates for environmental monitoring of urban storm-water retention ponds, assessing invertebrate assemblages to  evaluate tallgrass prairie restorations, and the effects of local and regional variation in hydrologic conditions on larval aquatic insects.

Dr. Orlofske began teaching invertebrate identification to research assistants and as undergraduate laboratory exercises during her graduate degrees at Iowa State University and University of New Brunswick.

In 2012, Dr. Orlofske developed a one-day Benthic Macroinvertebrate Identification Workshop offered at UNB. Since then, the course has been offered to over 100 participants in the United States and Canada and expanded to a two-day course.

Course Overview

Benthic macroinvertebrates are used extensively by watershed and other conservation organizations, municipal, state/provincial, and federal governments to monitor environmental conditions in freshwater ecosystems. These assessments require accurate and efficient taxonomic identification of specimens collected from bulk field samples. This workshop will briefly discuss the purpose and design of benthic macroinvertebrate monitoring programs. Laboratory techniques for sub-sampling (fixed-counts or percentage-based strategies) and separating invertebrates from debris will also be described.

The primary focus of the course will be identification of common aquatic macroinvertebrates with an emphasis on aquatic insects of Eastern North American.

The course will cover order and family-level identification using morphological characters and dichotomous and/or visual keys.
Information regarding life-history and ecological preferences will provide context on which habitats and conditions may be favorable to major groups of aquatic insects. Participants attending the course in person will have the opportunity to sub-sample, sort, and identify their own specimens or material provided during the course to develop sorting and identification skills.

A self-assessment at the end of the course will help to identify areas for further practice.

Participation in this course would provide suitable preparation for the Society for Freshwater Science family-level taxonomic certification exam as well as a foundation for the further specialization toward genus-level exams.

Learning Outcomes

This two-day workshop will include a lecture component (participants can join by webinar) and a hands-on lab component

Lecture participation (in person or by webinar) will enable you to:

  • Identify the primary orders of aquatic insects on sight
  • Master the terminology associated with aquatic insect anatomy
  • Recognize the morphological characters that distinguish common families of aquatic insects (emphasis on Eastern North America)

Classroom participation will further enable you to:

  • Become proficient in the use of dichotomous and/or visual keys to identify aquatic insect specimens to family, possibly genus (emphasis on Eastern North America)
  • Use common laboratory sub-sampling and sorting procedures and equipment for processing benthic macroinvertebrate samples

Dr. Jessica Orlofske

Assistant Professor of Invertebrate Zoology, University of Wisconsin – Parkside, USA

Canadian Rivers Institute Science Director

Workshop Fees

Registrant Type Registration Fee
Professional $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Course Schedule

This 2-day workshop will take place on March 18 and 19, 2017.

Registration closes on March 16, 2017

 

Register Here

 

Multivariate Analysis of Aquatic Community Data using Ordination in R

Dr. Jen Lento is a Research Scientist who specializes in quantitative analysis of community data, particularly benthic macroinvertebrates, for rivers and lakes. She has been conducting statistical assessments of freshwater data for over 14 years, and has extensive experience applying both univariate and multivariate techniques to evaluate community structure and function of algae, macroinvertebrates, and fish in both spatially and temporally expansive datasets. Jen has been teaching biostatistics at UNB (undergraduate/graduate-level) for the past 3 years and previously developed a two-day multivariate analysis workshop for the CRI. Known for her enthusiastic presentation of material, Jen is passionate about teaching statistics and firmly believes that with the proper knowledge foundation, anyone can become confident in applying statistics to their data.

Dr. Wendy Monk is a Research Associate with the Canadian Rivers Institute within the Faculty of Forestry and Environmental Management at the University of New Brunswick. With more than ten years’ post-doctoral research experience, she is an interdisciplinary scientist integrating hydrology, aquatic ecology, and geospatial analyses within freshwater ecosystems. Her research combines data mining methods, geospatial analyses and multivariate statistical techniques to quantify variability in physical driver variables (e.g., climate, landscape and hydrology) and patterns in aquatic communities across a range of temporal and spatial scales. Wendy’s research and collaborations includes a hydrological regime classification of Canadian rivers, extensive flow-ecology analyses using the benthic macroinvertebrate community, the development of flow stressor-specific diagnostic indices, the development and application of regional reference condition models, and the modelling of future river temperature scenarios.​

Course Overview

This two-day workshop will provide an advanced look at the use of eigenanalysis-based multivariate statistics to analyze community and environmental data. Through a combination of lecture material and hands-on training conducting analysis in R, participants will gain an understanding of the use of indirect and direct gradient analysis ordination methods including principal components analysis, correspondence analysis, detrended correspondence analysis, redundancy analysis, and canonical correspondence analysis. Participants will also learn advanced methods to test and compare ordinations, including variance partitioning and Procrustes analysis. Emphasis will be placed on guiding participants through the interpretation of results to give them the tools to move forward with their own analyses.

This workshop assumes that participants have a basic understanding of the use of multivariate analysis, and it is a follow-up to the General Introduction to Multivariate Statistics workshop. Participants should come to this workshop with a basic familiarity with the use of R and RStudio (including how to load and visualize data and how to load packages).

Learning Objectives

At the end of this interactive 2-day workshop, participants will:

  • Understand the mechanics of indirect and direct gradient analysis methods, including PCA, CA, DCA, RDA, and CCA
  • Recognize the difference between unimodal and linear models of gradient analysis, understand differences in interpretation of these models, and know how to select the appropriate model for their data
  • Be able to interpret ordination results and biplots for both unconstrained and constrained data
  • Understand the concept and mechanics of variance partitioning to evaluate the importance of different driving variables
  • Be able to compare ordinations using Procrustes analysis

Dr. Jennifer Lento

Research Scientist, Canadian Rivers Institute and Department of Biology, University of New Brunswick

Dr. Wendy Monk

Research Associate, Canadian Rivers Institute and Faculty of Forestry and Environmental Management, University of New Brunswick

Workshop Fees

Registrant Type Registration Fees
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Course Schedule

This 2-day workshop will take place on March 20 and 21, 2017.

Registration closes on March 18, 2017

 

Register Here

 

 

Writing Up Statistical Results for Aquatic Scientists

Dr. Jen Lento is a Research Scientist who specializes in quantitative analysis of community data, particularly benthic macroinvertebrates, for rivers and lakes. She has been conducting statistical assessments of freshwater data for over 14 years, and has extensive experience applying both univariate and multivariate techniques to evaluate community structure and function of algae, macroinvertebrates, and fish in both spatially and temporally expansive datasets. Jen has been teaching biostatistics at UNB (undergraduate/graduate-level) for the past 3 years and previously developed a two-day multivariate analysis workshop for the CRI. Known for her enthusiastic presentation of material, Jen is passionate about teaching statistics and firmly believes that with the proper knowledge foundation, anyone can become confident in applying statistics to their data.

Dr. Wendy Monk is a Research Associate with the Canadian Rivers Institute within the Faculty of Forestry and Environmental Management at the University of New Brunswick. With more than ten years’ post-doctoral research experience, she is an interdisciplinary scientist integrating hydrology, aquatic ecology, and geospatial analyses within freshwater ecosystems. Her research combines data mining methods, geospatial analyses and multivariate statistical techniques to quantify variability in physical driver variables (e.g., climate, landscape and hydrology) and patterns in aquatic communities across a range of temporal and spatial scales. Wendy’s research and collaborations includes a hydrological regime classification of Canadian rivers, extensive flow-ecology analyses using the benthic macroinvertebrate community, the development of flow stressor-specific diagnostic indices, the development and application of regional reference condition models, and the modelling of future river temperature scenarios.​

Course Overview

Ready to write your thesis or working on a manuscript and not sure how best to convey your results to your audience? This two-day workshop is designed to help solve that problem! By working through a large number of examples and engaging participants in group discussion, this workshop will go over the vital statistics that should be reported for different analyses, discuss the most effective ways to present data and results, and give participants a chance to try their hand at writing up results accurately and concisely. Participants will be asked to bring examples from their own research to allow for a more varied review of analysis write-ups. There will also be an emphasis on the difference between Results and Discussion sections, with time spent on improving the quality of the thesis or manuscript discussion.

Learning Objectives

At the end of this 2-day interactive workshop, participants will:

  • Be able to select the important and relevant statistics to report for a number of analysis types
  • Understand how to make graphs and tables more effective and more professional-looking
  • Be able to concisely write statistical results in an accurate manner that reflects the statistical output
  • Understand the different goals of the Results and Discussion sections and be familiar with approaches to improving discussions

Dr. Jennifer Lento

Research Scientist, Canadian Rivers Institute and Department of Biology, University of New Brunswick

Dr. Wendy Monk

Research Associate, Canadian Rivers Institute and Faculty of Forestry and Environmental Management, University of New Brunswick

Workshop Fees

Registrant Type Registration Fee
Professionals $125.00 + HST
Students/NGOs/First Nations $75.00 + HST

 

Course Schedule

This 2-day workshop will take place on April 27 and 28, 2017.

Registration closes on April 25, 2017

 

Register Here

 

Introduction to ArcGIS Tutorial

Antóin O’Sullivan is a PhD candidate at UNB – Fredericton.  His research focuses on identifying stream temperature regimes as they move through the landscape.  Antóin has two degrees in Civil Engineering and an MSc in Engineering Geomorphology.  He has studied landslides, permafrost, rock glacier mechanics, and hydraulics.  Owing to these fields of studies, Antóin has experience with numerical, mathematical, statistical, and physical modelling.  His current research focuses on landscape scale variances, and as such is a big proponent of the investigating the ‘bigger picture’ using Geographical Information Systems. 

“Everything is related to everything else, but near things are more related to each other" – Waldo Tobler.

Bronwyn is a nature and geo-enthusiast with a background in Geographic Sciences from the Centre of Geographic Sciences (COGS), Nova Scotia Community College (NSCC). She accomplished numerous projects in relation to environmental data, monitoring and solving spatial problems. She  has worked with clients from the Nova Scotia Geomatics Centre, Kejimkujik National Park and Historic Site, the Annapolis Royal Historic Gardens, the Nova Scotia Department of Environment and the Clean Annapolis River Project (CARP).


Bronwyn has been with CRI/UNB since April of 2015 when she started managing the GIS data for the Mactaquac Aquatic Ecosystem Study (MAES) and has since started data management with other CRI projects as well as being the administer to the CRI’s ArcGIS Online organizational site.

Course Overview

ArcGIS is a powerful geospatial software that allows users visualize and analyse datasets at both reach and landscape scales.  The software can be utilised to probe questions across a broad field of applied sciences, such as ecology, biology, geomorphology, geology, and eco-geomorphology, to mention but a few.

This workshop provides participants with a brief overview of Geographical Information Systems theory, constructing and maintaining geodatabases, accessing data via online databases, and bringing field acquired data into an ArcMap environment.

The course will present an overview of the theory behind geographical information systems (GIS), and show examples of GIS based research by the course instructors.  This will be followed by tutorials covering topics such as projection systems, uploading field data, adding online data sources, watershed delineation, and a brief introduction in geospatial modelling using kriging and inverse distance weighting.

In addition, Bronwyn will discuss constructing and maintaining geodatabases, compiling field data into an ArcGIS user format (taking data in Excel to ArcGIS) and collecting data with ArcGIS Online apps, along with the basic principals of map creation.

The fundamental aim of this workshop is give participants an insight into how geospatial analyse can be utilised across various fields of study.  The workshop will also briefly touch on geostatistical modelling.  Participants will leave with an instruction manual, so they can analyse personal datasets.

Learning objectives

At the end of this 2-day workshop, participants will:

  • Understand basic GIS theory
  • Understand projection systems
  • Have the ability to upload field collected data
  • Delineate watersheds (using solely topography)
  • Have a limited understanding of geospatial modelling (e.g. Kriging, IDW)
  • Be able to construct and maintain geodatabases, and retrieve data from online sources

Antoin O'Sullivan, PhD. Candidate, Canadian Rivers Institute and Department of Forestry and Environmental Management, University of New Brunswick

Bronwyn Fleet-Pardy, GIS & Data Management Coordinator, Canadian Rivers Institute, Department of Biology, University of New Brunswick

Tutorial Fees

The Introduction to ArcGIS Tutorial workshop is offered at no cost to anyone who is currently enrolled in a post-secondary education program.

 

Tutorial Schedule

This tutorial will be offered on April 20 and 21, 2017.

Registration closes on April 18, 2017

 

Register Here

 
 
 

Current CRI Online Courses

"Learning from Roland was a positive experience. He has a great attitude combined with a sense of humor of the subject matter. I felt like I only saw a fraction of what he could dispense for knowledge."

- Testimonial from a previous Understanding Environmental Management and Policymaking to Better Engage and Contribute Policy student

   

 
Available CRI Courses and Workshops
Courses/Workshops Delivery/Location Dates  
a c c
 

Basic Statistics for Environmental Data (in ‘R’)

Course Overview

This course has been divided up into seven main sections.  The first section is optional if you are experienced with R and have a basic understanding of statistical analysis.

  • Introduction to R
  • Two Sample Proportion Test
  • Chi-square Test & Multiple Comparisons
  • Kolmogorov-Smirnov Test
  • ANOVA/Kruskal-Wallis
  • Power Considerations
  • Summary & Resources

Key Learning Objectives

  • Background on basic statistics
  • Basic statistical analyses of biological and environmental data using R
  • Practice and apply these tests by analyzing different types of biological data

Details

This is a self-paced online module.  Interaction with other participants is encouraged to help each other learn tricks and tips for working in R, and to discuss exercises and real world data analysis issues.

Online Course Fees

Registrant Type Registration Fee
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Course Schedule

Online access available May 1, 2016 to March 31, 2017

Self-paced course

 

 

Register Here

 

Water Quality Assessment, Analysis and Interpretation

Course Overview

This online course was developed to introduce tools for water quality data visualization and statistical analysis (Excel & R), provide exercises to gain experience with real data to analyse for effects, trends, etc., introduce the use of Water Quality Indices (WQI) to consolidate lots of information, and covers the design of water quality monitoring programs. 

Topics covered include:

  • Data summaries and distributions
  • Considerations for water quality data
  • Testing for differences in water quality between sites
  • Examining relationships between parameters and trends
  • Monitoring program design considerations
  • Reporting statistical evidence for water quality data

Learning Outcomes:

  • Provides a reference material and resources for future employment
  • Develops skill in the manipulation of large data sets in excel, critical thinking, and interpretation of water quality data
  • Students will have a completed analysis of real monitoring data  summarizing the quality of surface waters as proof of their abilities

This online course was developed to introduce tools for water quality data visualization and statistical analysis (Excel), provide exercises to gain experience with real data to analyse for effects, trends, etc., introduce the use of Water Quality Indices (WQI) to consolidate lots of information, and covers the design of water quality monitoring programs.  

Key Learning Objectives

  • Formulate the key questions and hypotheses
  • Determine the best analytical method for answering the question
  • Determine the best graphical method for presenting the data
  • Analyze and present the data through the use of Excel and R
  • Learn how to present figures and statistical results in reports

Details

The content was originally developed in partnership with the Saskatchewan Research Council (Dr. Andrew Harwood), and Dr. Monique Dubé (CRI Science Director).  It is offered as a self-paced online course in an online learning management system called D2L, and was modified by Heather Loomer (PhD Candidate, CRI).  Participants will be encouraged to interact with fellow participants online to share real-world stories and/or questions regarding water quality monitoring data and designs.

Online Course Fees

Registrant Type Registration Fee
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Course Schedule

Online access available May 1, 2016 to March 31, 2017

Self-paced course

 

 

Register Here

 

Introduction to R for Ecological Data Analysis

CRI is fortunate to have Dr. Lindsay Brin, a CREATE WATER Postdoctoral fellow with Dr. Karen Kidd, share her experience in, and passion for, working with data using the statistical programming language R in an online course.

Dr. Brin has spent over a decade conducting graduate and postdoctoral research in the fields of biogeochemistry and microbial ecology giving her a broad skill set in the management and analysis of ecological data.

Course Overview

R is a powerful, free, open-source, and widely used tool for working with data that can allow you to streamline your analysis process, increase reproducibility, catch and avoid mistakes, and access newly developed analyses and statistical approaches.

This online course will provide participants with the tools for reading in, manipulating, analyzing, and visualizing data in R.  For example, we will cover topics such as cleaning and organizing data, joining data sets, working with factors, writing functions, using for loops and if…else statements, etc.  

A primary goal is to help participants become comfortable working in a coding environment. To accomplish this, the workshop format will include a combination of explanation, demonstration, and extensive hands-on practice using a variety of sample datasets.  Participants will leave with basic skills that can be put into use immediately, as well as a platform from which to learn more complex analyses.

Learning Objectives

At the end of this online course, participants will:

  • Have a conceptual understanding of how R works
  • Be aware of the availability of relevant packages to expand R’s functionality
  • Be able to use R as a calculator and basic data manipulation tool
  • Be able to write simple functions in R to automate analyses
  • Be able to produce useful graphical and numeric summaries of data
  • Be able to implement basic statistical tests (ANOVA, linear regression


 

Dr. Lindsay Brin
Postdoctoral fellow
NSERC CREATE WATER
Canadian Rivers Institute
Department of Biology, University of New Brunswick – Saint John

Online Course Fees

Registrant Type Registration Fee
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Course Schedule

Stay tuned - registration will be opening soon!

Self-paced course

 

Register Here

 

Introduction to Canadian Water Law

The CRI is excited to have Scott Kidd develop and instruct a course on Canadian Water Law directed towards post-secondary students. Scott holds a BSc.(Hons.) from the University of Guelph, where he majored in Ecology, and a law degree from the University of Manitoba. After graduating from the U of Manitoba, Scott practised law for several years before moving on to work as the Conservation Director for the Manitoba Chapter of the Canadian Parks and Wilderness Society. Although no longer practising law, Scott tries to keep abreast of developments in Canadian environmental law in Canada and regularly teaches Introductory Environmental Law to environmental science and biology students at UNBSJ. Since moving to Quispamsis Scott has worked on research and writing contracts (legal and environmental) for a number of local environmental organizations including the Conservation Council of New Brunswick.

Course Overview

Any work or activity in, around, on, and under water is likely subject to regulation by one or more of Canada’s many federal and provincial water laws. An understanding of these laws and how they work is important to environmental professionals for several reasons, including: 1) following these laws can prevent harm to water resources, and 2) following these laws can keep you, and your clients, from being fined or even jailed. You don’t need to become an expert in Canadian water law, but a little knowledge will help to demystify them.

Learning Objectives

The purpose of this course is to provide students with an understanding of some of the many federal and provincial “laws” that affect the protection and use of water in Canada. The course will focus on several types of water laws that students may encounter or participate in as they pursue a career in biology or environmental science. 

Webinar Lecture Topics

  • Constitutional basis of Canadian water law; introduction to some basic legal terms and concepts
  • Focus on federal water laws, in particular Fisheries Act  and Navigation Protection Act
  • Focus on provincial laws aimed at controlling water contamination and their permitting processes (NB and ON in particular)
  • Focus on provincial laws aimed at protecting ecological integrity of water ecosystems (NB and ON in particular)
  • Introduction to other legal issues such as fines and what is due diligence; discussion of some over-arching issues with Canadian water law

Details

The lectures will be provided via 1 hour webinars. After the 4 lectures, the students will submit a brief review of a Canadian water law of their choice, explaining how it works in their own words.

Scott Kidd, B.Sc., LL.B., CAE University of New Brunswick

 

Online Course Fees

The Introduction to Canadian Water Law online course is offered at no cost to anyone who is currently enrolled in a post-secondary degree program.

Registration closes on February 13, 2017

 

 

Course Schedule

Webinar series:

4 x 1 hour webinars starting February 15, 2017 until May 15, 2017.

Webinar times: 4:00-5:00 AST
Webinar dates: February 15, March 1, March 22, April 19

Final paper:

A final written report will be due on May 15, 2017. Format TBD.

 

Register Here

 

Understanding Environmental Management and Policymaking to Better Engage and Contribute Policy

Roland Cormier holds an MSc in Biology from the “Université de Moncton” (Canada). He has more than 35 years of experience in fisheries, fish and seafood safety, environmental assessment as well as coastal and oceans management.

He originally started to work for Fisheries and Oceans Canada doing biological research and conducting fisheries stock assessment on shrimp (Pandalus borealis) and snow crab (Chionoecetes opilio). Subsequently, his work focused on fish and seafood safety inspection program effectiveness, bio-toxin monitoring programs and auditing of HACCP based program performance. After the creation of the Canadian Food Inspection Agency, he led the development of inspection information systems and managed regulatory policy development for the Fish Inspection Program in Canada.  In his most recent position, he led the Centre of Expertise for Ecosystem Risk Management at Fisheries and Oceans Canada. He also worked in fish and seafood HACCP programs within the context information management at the Food and Agriculture Organization of the United Nations. In addition to being an Associate of the Institute of Estuarine & Coastal Studies at the University of Hull, United Kingdom, he is also a guest scientist at Helmholtz-Zentrum Geesthacht, Centre for Materials and Coastal Research, Institute for Coastal Research in Geesthacht, Germany. His current interests are in related to environmental management from a legislative and policy analysis using ISO risk management processes and controls assessment.

He is also a member of the International Council for the Exploration of Sea (ICES) working group on marine planning and coastal zone management and the Group of Experts on Risk Management in Regulatory Systems of the United Nations Economic Commission for Europe. The present focus is on risk approaches to legislative systems of management controls in relation to UN sustainability goals. He is currently active as a consultant in environmental risk management in Europe, Canada and the United States as well as a lecturer in universities in Canada and Europe.

Course Context

Today, environmental concerns and sustainability figure highly in everyday life. One the one hand, development moves forwards in the pursuit of opportunities and the betterment of society while the demands on the environment and its resources are ever increasing. The scientific community are raising concerns of environmental changes and degradation occurring in both terrestrial and marine ecosystem. We hear of environmental assessments and the call for public input into seemingly complex consultation processes. We also hear of the need to become “green” through conservation and reduction of waste while being reminded that the protection and conservation nature is urgently needed. At times, it is not clear who makes decisions, who should be accountable for such decisions and who provides the information for making these decisions. The complexity of it all can leave one to wonder if there is anything one can do!

Course Objective

This course attempts to demystify the complexity of environmental management by providing a more in-depth understanding of the processes and approaches involved in environmental assessments and ecosystem approaches to management. It examines the role of public policymaking processes in developing sustainability goals and objectives in contrast with regulatory processes involved in environmental assessments and management. It also examines of the role that legislation and policy, public consultation and scientific advice plays in framing the context and guiding decision-making. Building upon current approaches to environmental impact assessment, integrated oceans and coastal planning, nature conservation and sustainable development goals, this course provides a basic understanding of the underlying principles, roles and accountabilities of policymakers and regulators leading these processes to enable active participation by anyone involved in such decision-making. It particularly highlights the intent of public consultations, stakeholder engagement and scientific advice to provide a better understanding of the very different role that the public, stakeholders, and experts should assume in the shaping of public policy and regulatory decision-making.

Course Curriculum

Each lecture is topic specific moving from the basics of environmental assessment to policymaking and managing risks. The duration of each lecture is 1.5 hours. The lecture formats are a mix of presentation and discussion. Building on the material presented during the lectures, a 2 day workshop is finally delivered to bring all the elements together in practical marine planning exercise.

1. The role of environmental impact assessment in regulatory approval processes
2. Using strategic environmental assessment to shape public policy
3. The differences between an ecosystem approach to scientific research and management
4. The significance of impacts to ecological features and function
5. The relevance of ecosystem services to human wellbeing
6. Understanding the costs and the benefits of a course of action in decision-making
7. Setting the stage with legislation to better manage through regulations, standards and guidelines
8. Preventing the causes and mitigating the consequences to achieve sustainability objectives
9. Adapting and changing a course of action as a result of monitoring and review

Roland Cormier, MSc., PhD. Candidate
Helmholtz-Zentrum Geesthacht
Centre for Materials and Coastal Research
Institute for Coastal Research

Online Course Fees

Registrant Type Registration Fee
Professionals $250.00 + HST
Students/NGOs/First Nations $187.50 + HST

 

Workshop Fees

Registrant Type Registration Fee
Professionals $250.00 + HST
Students/NGOs/First Nations $250.00 + HST

 

Course Schedule

Webinar series:

9 x 1.5 hour webinars starting January 25, 2017 until May 10, 2017.

Webinar times: 4:00-5:30 AST
Webinar dates: January 25, February 1, February 8, February 22, March 15, March 29, April 12, April 26, May 10

Workshop:

Roland will be instructing a 2-day workshop on May 17 and 18, 2017 to apply the concepts learned in the webinar series. 

Registration closes on January 24, 2017

 

Register Here

 
 
 

      

 
Available CRI Courses and Workshops
Courses/Workshops Delivery/Location Dates  
Ongoing Courses
Canadian Aquatic Biomonitoring Network (CABIN) Online and field training May 1, 2016 to February 28, 2017 Register
Basic Statistics for Environmental Data (in 'R') Online May 1, 2016 to March 31, 2017 Register
Water Quality Assessment Analysis and Interpretation Online May 1, 2016 to Mach 31, 2017 Register
January
Introduction to R for Ecological Data Analysis Fredericton, NB January 12 and 13, 2017 Register
Understanding Environmental Management and Policymaking to Better Engage and Contribute Policy Fredericton, NB Webinars: January to May, 2017; Workshop: May 15 and 16, 2017 Register
Basic Statistics for Aquatic Scientists Fredericton, NB January 20, 2017 Register
February
General Introduction to Multivariate Statistics for Aquatic Scientists Fredericton, NB February 10, 2017 Register
Introduction to Canadian Water Law Fredericton, NB Webinars: February to May, 2017 Register
Introduction to Bayesian Statistics Fredericton, NB February 17, 2017 Register
Linear Regression Analysis for Aquatic Scientists Fredericton, NB February 20 and 21, 2017 Register
March
Hierarchical Bayesian Modelling in Ecology Fredericton, NB March 3, 2017 Register
Benthic Macroinvertebrate Identification Fredericton, NB March 18 and 19, 2017 Register
Multivariate Analysis of Aquatic Community Data Using Ordination Fredericton, NB March 20 and 21, 2017 Register
April
Introduction to ArcGIS Tutorial Fredericton, NB April 20 and 21, 2017 Register
Writing Up Statistical Results for Aquatic Scientists Fredericton, NB April 27 and 28, 2017 Register
May
Understanding Environmental Management and Policymaking to Better Engage and Contribute Policy Fredericton, NB May 15 and 16, 2017 Register