Conservation planning using PRIORITIZR : from theory to practice (PRTZ01)
7 October 2019 - 11 October 2019£500.00
This 5-day workshop will introduce the development and application of Marxan type spatial planning tools to prioritize land acquisition, easements and incentives in favor of conservation. We are going to use the prioritizr framework (https://prioritizr.github.io/prioritizr/) and an example developed for the Coastal Douglas Fir Conservation Partnership (CDFCP) region by the group of Peter Arcese at UBC (http://arcese.forestry.ubc.ca/marxan-tool-cdfcp/)
The reserve design problem will be introduced using examples from the BC Central Coast, Georgia Basin-Willamette Valley of BC, WA and OR (Schuster) and the Andes (Morell). Technical issues and approaches to species distribution modeling, spatial optimization, and climate adaptation will also be addressed via lecture and group discussion of assigned readings. We will then use an online tool to explore case studies, indicator communities, and the potential for complimentarity in conservation planning in the CDFCP region, a critically imperiled region of BC that includes ~200,000 mainly privately-owned land parcels on se Vancouver Island, the Southern Gulf Islands and Sunshine Coast.
Once acclimatized, we will form small teams to design, carryout and report on new scenarios aimed at 1) prioritizing CDFCP parcels for the conservation of species groups, and 2) protection of Critical Habitat for endangered species, in addition to the old forest and savanna ecosystem goals already identified for the region.
Learning outcomes include understanding:
1) the use of biological indicators and species mapping to predict biodiversity value,
2) the problem of optimization over diverse goals and solutions to it,
3) the valuation of and incorporation of ecosystem services into spatial planning
4) the development and application of Marxan type spatial planning tools and scenarios
Graduate students, practicing academics and professionals in government and industry.
Venue – Pasteur Hellenic Institute, Athens, Greece – Google map
Availability – 25 places
Duration – 5 days
Contact hours – Approx. 35 hours
ECT’s – Equal to 3 ECT’s
Language – English
We only offer a COURSE ONLY package for this course.
• COURSE ONLY – Includes lunch and refreshments.
To book ‘COURSE ONLY’ please scroll to the bottom of this page.
Other payment options are available please email firstname.lastname@example.org
Cancellation policy: Cancellations are accepted up to 28 days before the course start date subject to a 25% cancellation fee. Cancellations later than this may be considered, contact email@example.com Failure to attend will result in the full cost of the course being charged. In the unfortunate event that PRstatistics must cancel this course due to unforeseen circumstances a full refund for the course will be credited. However PRstatistics cannot be held responsible for any travel fees, accommodation or other expenses incurred to you as a result of the cancellation.
There will be lectures based on the modules outlined in the course timetable. There will also be guided practicals based on the topics covered during lectures. Data sets for computer practicals will be provided by the instructors, but participants are welcome to bring their own data.
Assumed quantitative knowledge
A basic understanding of data analysis and regression methods and preferably some experience working with spatial data.
Assumed computer background
Familiarity with R. Ability to import/export data, manipulate data frames, fit basic statistical models & generate simple exploratory and diagnostic plots.
Equipment and software requirements
A laptop/personal computer with a working version or R and RStudio installed. R and RStudio are supported by both PC and MAC and can be downloaded for free by following these links.
It is essential that you come with all necessary software and packages already installed (you will be sent a list of packages prior to the course) internet access may not always be available.
UNSURE ABOUT SUITABLILITY THEN PLEASE ASK firstname.lastname@example.org
Monday 7th – Classes from 09:00 to 17:00
Introduction and Species Distribution Models
Class 1: Introduction to Systematic Conservation Design
Class 2: Development of Spatial Indicators and Targets
Class 3: Species Distribution Models
Practical: Species Distribution Models
Tuesday 8th – Classes from 09:00 to 17:00
Advanced topics of Systematic Conservation Planning
Class 1: Economic, Ecosystem Service and Regulatory Targets
Class 2: Algorithms and Approaches
Class 3: prioritizr, Marxan and Zonation
Case study: Prioritization addressing multiple goals
Wednesday 9th – Classes from 09:00 to 17:00
Class 1: Introduction to prioritizr
Practical: solving minimum set problems in R
Class 2: Introduction to Marxan Connect
Practical: Marxan Connect
Class 3: Advanced topics of prioritzr
Practical: Advanced analysis using prioritzr
Thursday 10th – Classes from 09:00 to 17:00
Case study and user interface
Class 1: prioritzr shiny user interface
Class 2: Introduction to case study
Practical: Complementarity using the shiny interface
Practical: Group project introduction and discussion
Practical: Targets and Scenario devevlopment
Friday 11th – Classes from 09:00 to 16:00
Finishing case study and bring your own data
Practical: Analysis and Interpretation
Practical: Discussion and case study wrap up
Practical: analyse and get help with your data.
The instructors were excellent and clearly were the reasons for my previous comments. They both combined a deep understanding of statistics and ecology at the same level.Any questions or queries I’ve had, were thus first answered with an ecological point of view and then translated into statistical consideration thereby making much more sense on both side.In addition the course was very well organised, the course director and the two instructors were very friendly as well as professional. On the top of learning many useful things, I’ve also had a very good time during the week there.” Clement Garcia,
Spatial ecologist, Centre For Environment, Fisheries & Aquaculture Science (CEFAS), England
(Attended ADVR course)