Hawaii Pacific GIS Conference 2012: Natural Resource Management - Developing a Conservation Data Sharing Network for the Island of Maui, Hawaii

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  • 1. Developing a Conservation DataSharing Network for the Island of Maui, Hawai„i Samuel N.R. AruchNatural Resource Data Solutions LLC Penn State MGIS- Capstone
  • 2. • Background• Conservation partner relationships and needs• Maui Data Hui• Partner data infrastructure• Data sharing implementation• Benefits of data sharing• Lessons learned• Next steps
  • 3. BackgroundTerrestrial conservation implementation in Hawaiʻi • Many challenges • Ecosystem level threats • Management across land owner boundaries
  • 4. Partner relationships The Nature Conservancy Maui Program West Maui East Maui Mountains Watershed Logistics Goals Watershed Logistics Partnership Partnership Maui Invasive Species Committee
  • 5. Partner relationships
  • 6. Needs – Extreme and costly logistics in remote areas
  • 7. Needs - Track the status of work performed
  • 8. Needs – Measure effectiveness and share accomplishments
  • 9. Needs- Locate and share threat informationTreatedObservedMisidentified
  • 10. Maui Data Hui (group) • A bottom up approach • Informal group of mid-level on the ground managers • Meeting since 2008 • 2 - 4 x per year • Sharing tools and ideas • Voluntary collaborative standards
  • 11. Collaborative standards- Fences• Fence Name• Fence Section• Status (complete, partial, proposed, unmaintained, removed)• Source (hand-drawn, GPS)• Agency Built (TNC, EMWP, NPS, etc…)• Agency Managed (TNC, EMWP, NPS, etc…)• Purpose (pig, deer, dirt bike, cattle, etc…)• Material (hogwire, mesh, barb, hog panels, etc…)• Apron (yes, no, partial)• Height ( # in feet)• Length (from GIS)• Last Check (from database)• Condition (from database)
  • 12. Individual partner database infrastructure• Local data management via linked MS Access & ArcGIS desktop• Each program has unique needs (i.e. sensitive data, capacity, and work flows)• Standards are implemented when developing
  • 13. Partner infrastructure - “Real time” local data management
  • 14. Partner infrastructure - “Real time” local data management
  • 15. Partner infrastructure - “Real time” local data management
  • 16. The next step: developing a data sharing infastructure: oolEnterprise level data sharing structure for conservation partners onthe island of Maui.Working with two examples of shared data sets • Ungulate exclosure fences (cows, pigs, deer, goats) • Weed control
  • 17. Data sharing infrastructure • Retrofit existing workflow (do not create more work) • Participants have access to raw data • Data can be served over the web • Prototyped with UH – CCRT infrastructure • VPN to connect local access database to SQLServer • MS SQLServer and ArcGIS Server to store and serve data • Still under development / testing
  • 18. Data sharing implementation – 3 different scenarios Check Local user in/ Out interface and data tables Shared data server Hosted User interface onlyAggregated/ Aggregated/Filtered filtered data Local userExport interface and data tables
  • 19. Sharing workflow Local database User chooses to log in to server
  • 20. Initiate sync on existing database
  • 21. Login to server
  • 22. Status message Local database User chooses to log in to server Status message alerts user to new data to send
  • 23. Status message
  • 24. Sending data Local database User chooses to log in to server Status message alerts user to new data to send User chooses to send data to server
  • 25. User sends data to the server
  • 26. Sharing workflow Local database User chooses to log in to server Status message alerts user of new data to send User chooses to send data to server Server Data is aggregated and served
  • 27. Master data can be imported or linked to users database
  • 28. Sharing workflow Local database User chooses to log in to server Status message alerts user of new data to send User chooses to send data to server Server Data is aggregated and served Web
  • 29. Data as a service
  • 30. Data as a service
  • 31. Benefits of data sharing • Watershed to archipelago scale decision support tools • Communication with funders, managers, and partners • Enhance strategy, efficiency, and collaboration • Accountability • Continuity in perpetuity
  • 32. Products– Watershed management and resource analysis * Sample data for illustration only
  • 33. Products – Landscape scale status assessments * Sample data for illustration only
  • 34. Products – Strategy, efficiency, and collaboration
  • 35. Maui Data Hui lessons learned • Build momentum, collaboration, and relationships • Work from the bottom up and top down • Data compatibility and consistency • Information security and trust • Don‟t reinvent the wheel • Usability • Time
  • 36. Long term goals • More partners / more data / more fun • Experiment with more sharing tools • Mobile tools for managers • Build long term support
  • 37. Potential for partnership data sharing
  • 38. Summary • Hawaiʻihas landscape scale ecosystem threats • Conservation partnerships have shared goals and logistics • Conservation partnerships need to share data • The Maui Data Hui is facilitating data sharing from the bottom up • Building momentum and collaboration • Measurable benefits of collaboration • Open to new ideas and tools
  • 39. Maui Data Hui collaborators and contributors• East Maui Watershed Partnership (EMWP)• West Maui Mountains Watershed Partnership (WMMWP)• Maui Invasive Species Committee (MISC)• The Nature Conservancy of Hawaiʻi – Maui Program (TNC- Maui)• Puʻu Kukui Watershed Preserve (PKW)• Plant Extinction Prevention Program – Maui (PEP)• Leeward Haleakalā Watershed Restoration Project (LHWRP)• USGS – Pacific Basin Information Node (USGS- PBIN)• Maui Forest Bird Recovery Project (MFBRP)• Department of Land and Natural Resources Natural Area Reserves System - Maui (Maui NARS)• Haleakalā National Park• University of Hawaiʻi- Center for Conservation Research and Training (UH - CCRT)• Hawaiʻi Conservation Alliance (HCA)
  • 40. Sam AruchNatural Resource Data Solutions808-895-4542samaruch@gmail.com