Terrestrial Biodiversity and Climate Change Adaptation in Victoria - Management and Policy
Tuesday, 5th October 2010,
Rydges on Swanston, Melbourne.
Who should come: management agencies, policy makers, NGO’s, state/local government and any interested parties
Time |
Program |
Speaker |
Presentations |
9:00 |
Welcome and what we hope to achieve today. |
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Morning session: Presentations - from the researchers and the stakeholders |
9:10 |
National overview on Climate Change adaptation and terrestrial biodiversity and the National Adaptation Research Plan |
Prof. Stephen Williams |
|
9:40 |
Terrestrial Biodiversity network –what you can get out of it, and discussion |
Dr. Yvette Williams |
|
10:00 |
What are the key issues for Victoria for climate change adaptation and decision tools for adaptation
(Victorian Centre for Climate Change Adaptation Research) |
Prof. Rod Keenan |
|
10:30 |
Morning Tea |
11:00 |
The science of biodiversity adaptation
Presentations by the researchers: |
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* Examples of biodiversity adaptation in Victoria, and discussion |
Prof. Ary Hoffmann |
|
11:45 |
How are managers and policy-makers dealing with climate change adaptation for biodiversity and what are the greatest challenges.
Presentations by the stakeholders: |
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* State Government - Department of Sustainability and Environment (DSE) |
Ian Mansergh, James Todd |
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* Local Government - Greenhouse Alliance Group |
Steve Meacher |
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* State Management Agencies - Parks Victoria |
Joe Mumford |
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* Indigenous knowledge group - Commissioner for Environmental Sustainability |
Dr. Kate Auty |
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* Local conservation group - Victoria Naturally Alliance |
Karen Alexander |
|
13:15 |
Lunch |
Afternoon session: Workshops |
14:00 |
Identify key themes for adaptation challenges |
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* Group discussion on defining broad adaptation challenges for Terrestrial Biodiversity in Victoria. |
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14:30 |
Working groups draw up adaptation research priorities and how they could be addressed |
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16:00 |
Afternoon tea |
16:30-
17:30 |
* Report back and close, facilitator to draw together learning, threads and extract future options |
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