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I' Biodiversity priority setting

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III. Landscape simulations & scenario analyses. Capacity overview: NAESI modeling project ... OMNR; Mike Loreau, McGill; David Hooper,Western Washington University ... – PowerPoint PPT presentation

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Title: I' Biodiversity priority setting


1
Capacity overview NAESI modeling project
  • I. Biodiversity priority setting
  • II. Quantifying targets (HSM/PVA)
  • III. Landscape simulations scenario analyses

2
  • Progress -Science Technical
  • a. Biodiversity priority setting
  • b. Quantifying targets (HSM/PVA)
  • c. Landscape simulations scenario analyses
  • Science Technology Capacity - Current
  • Software selection licenses (EC/EOMF)
  • b. Landscape modeling - Telsa-VDDT (free)
  • c. Quantifying targets - RAMAS Multispecies
    Assessment Tool (EC/EOMF)
  • RAMAS Landscape (EC simultaneous licenses/EOMF)
  • 2. Training
  • b. Landscape modeling - Telsa-VDDT
  • c. Quantifying targets - RAMAS (EOMF NAESI
    WORKING GROUP)
  • 3. Peer review external capacity
  • a. Biodiversity priority setting
  • b. Landscape modeling scenario simulation
    modeling
  • c. Quantifying targets PVA, HSM

3
  • Progress -Science Technical

2. Training - current
Landscape simulations scenario analyses
  • VDDT Training
  • 12 people (EOMF, EC, OMNR, NAESI working group)
  • February 20-21st

4
  • Progress -Science Technical

2. Training - current
Ramas Landscape Ramas Multispecies Assessment Tool
Quantifying targets (HSM/PVA)
RAMAS training 15 people (EOMF, EC, NRCan, PC,
NAESI working group) April 3-5th
5
  • Progress -Science Technical

2. Training - current
Ramas Landscape Ramas Multispecies Assessment Tool
Quantifying targets (HSM/PVA)
RAMAS training 15 people (EOMF, EC, NRCan, PC,
NAESI working group) April 3-5th
6
  • Progress -Science Technical
  • a. Biodiversity priority setting
  • b. Quantifying targets (HSM/PVA)
  • c. Landscape simulations scenario analyses

3. Peer review external capacity
Landscape simulations scenario analyses
Wildspace Optimization algorithm Scalar
modeling Scenario Development
Quantifying targets (HSM/PVA)
Internal network Science Advisory
Group Working groups External network
Researchers Kathryn Lindsay, Carleton
University Danijela Puric-Mladenovic, OMNR Mike
Loreau, McGill David Hooper,Western Washington
University Science Technology Resit
Akçakaya, Applied Biomathematics Colin Daniel,
ESSA Technology John Bolte, Oregon State
University
7
  • Progress -Science Technical
  • a. Biodiversity priority setting
  • b. Quantifying targets (HSM/PVA)
  • c. Landscape simulations scenario analyses
  • Science Technology Capacity - future
  • Software selection licenses (EC/Other partners)
  • Additional licenses/software needs
  • -VDDT TELSA, or equivalent (regional)
  • -RAMAS MAT RAMAS Landscape (EC increase No. of
    simultaneous licenses regional licenses)
  • 2. Training
  • Additional training (Landscape modeling
    PVA/HSM)
  • Transfer/Training (NAESI approach)
  • (i) Process template transfer application
  • (ii) Training manual or course (regions)
  • (iii) Delivery of training
  • 3. Peer review external capacity building
  • Expanded peer review external network
  • Regional/Provincial/National
  • Coordination standardization
  • a. Biodiversity priority setting

8
Next Steps Capacity Building Coordinating
work in the Pilot Areas
Needs for regional expansion -Platform for
coordinating NAESI Biodiversity Standards work
regionally -Regional Networks to conduct work
  • Develop/identify
  • a. appropriate regional leads networks
  • b. training on tools overall approach to
    deliver to regions.
  • This should include access to ongoing
    support/guidance from NAESI Biodiversity Thematic
    group
  • Build local capacity
  • Software licenses and manuals for tools
  • Regional peer review ( links to external
    capacity)
  • 3. Develop national peer network coordinating
    group
  • a. Biodiversity priority setting
  • b. Landscape modeling scenario simulation
    modeling
  • c. Quantifying targets PVA, HSM
  • 4. Integrate pieces (automations, scenario
    parameter alignment, etc)
  • Wildspace
  • Optimization algorithm
  • Taxonomic-specific approaches to modeling
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