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The AKN node Leo Salas, Grant Ballard & Geoff Geupel – Point Blue Conservation Science David Hanni – Rocky Mountain Bird Observatory Jamie Stephens & John.

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Presentation on theme: "The AKN node Leo Salas, Grant Ballard & Geoff Geupel – Point Blue Conservation Science David Hanni – Rocky Mountain Bird Observatory Jamie Stephens & John."— Presentation transcript:

1 The AKN node Leo Salas, Grant Ballard & Geoff Geupel – Point Blue Conservation Science David Hanni – Rocky Mountain Bird Observatory Jamie Stephens & John Alexander – Klamath Bird Observatory Katie Koch – U.S. Fish & Wildlife Service Ed Laurent – Connecting Conservation

2 Outline The principles: data-intensive science, adaptive management, decision support systems and AKN nodes The AKN paradigm shifts: data sharing, data discovery, linking knowledge. Why do we need decision support systems? AKN nodes, partnerships and leadership The AKN node2

3 What is an AKN node? In our own words… “An AKN node is a partnership of people and institutions that federates data into the AKN with the intent to properly curate them and use them to actively develop decision support tools and data products. In doing so, these partnerships seek to fulfill the overarching goal of the AKN: improved conservation and management of bird populations in the western hemisphere, at multiple spatial scales and across political boundaries, based on the best science available.” The AKN node

4 Data-intensive science paradigm The AKN node CAPTURE MAINTAIN ANALYZE DELIVER DATA LIFE CYCLE

5 Decision support systems The AKN node Analysis, Decision-support (DST) Data collection Management Data management Decision Support System

6 AKN nodes as Decision Support Systems The AKN node6 Mechanistic view of AKN nodes: capture, curate, analyze and publish data Adaptive management view of AKN nodes: enabling a learning processes Systemic view of AKN nodes: bringing together the right data, knowledge and appropriate expertise for conservation decisions, while integrating outcomes within other frameworks, scales and perspectives

7 Shared data The first AKN paradigm shift ++ = DONE! NOPE! Data still in laptop! ++ = DONE! + First paradigm shift: share the data How we used to manage our data:

8 Standardized, discoverable data The second AKN paradigm shift

9 Linking knowledge The third paradigm shift

10 Why do we need AKN? We can develop and deliver the required technology very cost-effectively We are a community of practice; we want products useful for management AKN nodes provide partnerships and leadership at multiple scales The new AKN10

11 The heart of the AKN node: partnerships Criteria for an AKN partnership: Key conservation problem (e.g., the MCBMP has: grassland bird conservation partnership) Key questions (e.g. What is the best management action [easements, restoration, do-nothing] to increase populations of prairie chicken?) Key players to bring expertise to solve problems Key datasets to bring relevant information Key managers to use the tools developed The new AKN11

12 AKN nodes and leadership What we call leadership: A person or team of people Understand the problem at multiple scales and from various (partner’s) perspectives Can reach out to bring in the key players, key datasets, appropriate technology Open and collaborative Provide answers and guidance where and when needed The new AKN12 The partnerships behind nodes strive to provide leadership!

13 How can we help? How can an AKN node help you? Who should you contact? Are you interested in joining a node? Are you interested in starting a node? Please visit the AKN website for further information: http://www.avianknowledge.net

14 Thank you!


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