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Mountain Birdwatch Phase 2: Monitoring High-elevation birds in the Atlantic Northern Forest
The Mountain Birdwatch Phase 2 project, focusing on Bicknell's Thrush, aims to monitor high-elevation birds across the Atlantic Northern Forest, addressing conservation priorities through coordinated efforts and improved survey methodologies. The project seeks to assess population changes, habitat relationships, and conservation strategies, utilizing trained volunteers for annual surveys and developing spatially balanced sampling designs. Additionally, it emphasizes public data access and visualization tools to support habitat conservation and restoration efforts, particularly in regions like Hispaniola.
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Mountain Birdwatch Phase 2: Monitoring High-elevation birds in the Atlantic Northern Forest
- 1. Mountain Birdwatch Phase2: Monitoring high-elevation birds in the Atlantic Northern Forest Julie Hart & Dan Lambert Sugarloaf Mountain, NH
- 2. NH-ME BBS routes Whyhigh-elevation birds?
- 3. Bicknell’s Thrush • Endemic • Habitat specialist • Restricted range • Small population • Uncertain status • Conservation priority = Vulnerable
- 4. Past Limitations • Countprotocols vary • Limited statistical inference • Detectability issues • Occupancy estimates • Unable to estimate population size, assess limiting factors, or adequately model metapopulations • Grumpy editors
- 5. Mountain Birdwatch II • VISION: Create a unified program that spans the entire breeding range of Bicknell’s Thrush • Organizations involved: – Vermont Center for Ecostudies – Bird Studies Canada – Canadian Wildlife Service – White Mountain National Forest
- 6. Addressing the Challenge • 2006 – NECBM Mountain Bird Group • 2007 – International Bicknell’s Thrush Conservation Group • 2008 – Develop protocol and SOPs • 2009 – Begin regional coordination • 2010 – Export model to Newfoundland and Appalachian Mountain BCR www.bicknellsthrush.org
- 7. Project Goals 1. Measurechanges in distribution and abundance with an emphasis on SGCN. 2. Investigate the relationship between breeding ground population status of BITH and winter habitat availability. 3. Produce tools and data to guide stewardship and conservation.
- 8. Project Goals (cont.) • Estimate BITH population size • Investigate the influence of: – Habitat – Climate – Red squirrel / cone mast dynamics – Hg exposure – Calcium availability – Forestry practices
- 9. Spatially Balanced Sampling • GRTS Survey Design – BITH habitat model – Trails and roads • Cost Surface Layer – Effort as distance nearest road • Flexible – add new sites over time – intensify sampling within pre-defined strata
- 10. Spatially Balanced Sampling • GRTS Survey Design – BITH habitat model – Trails and roads • Cost Surface Layer – Effort as distance nearest road • Flexible – add new sites over time – intensify sampling within pre-defined strata
- 11. Optimal Point CountMethod • Trained volunteers and technicians survey once a year during 3-week window in June • Surveys begin 30 min before sunrise • Target 10 focal species plus Red Squirrel
- 12. Target Species SPECIES RATIONALE YBFLNF indicator species BCCH Niche overlap with BOCH BOCH NF indicator species WIWR Abundant, easy to identify BITH Top conservation priority, specialist SWTH Niche overlap with BITH HETH Niche overlap with SWTH BLPW NF indicator species WTSP Abundant, easy to identify, BBS decline FOSP Priority for Canada RESQ Main predator of BITH nests & chicks
- 13. 5 minutes 5minutes 5 minutes 5 minutes 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 Two Pilot Protocols Time of detection in 1-min intervals for BITH simultaneous with Repeated simple counts for all focal species Repeated p/a for all focal species OR 5 minutes 5 minutes 5 minutes 5 minutes
- 14. Pilot Results • 519points surveyed – 437 using simple counts – 82 using presence/absence – 144 BITH in first 10 minutes • Volunteer feedback – 20 min long time – Hard to estimate distance by sound – Most would continue with MBW • Team of statisticians running variance estimates using occupancy, time-of- detection, n-mixture models, and distance estimation
- 15. Data management • Georeferenceddatabase • Standardized fields aligned to AKN • AKN archive • Opportunity to analyze and visualize using AKN applications • Metadata documented through BMDE
- 16. Tools for Conservation • Public access to data and visualizations via AKN
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- 18. Tools for Conservation • Public access to data and visualizations via AKN • Wind farm siting assessment
- 19. • Of highest wind potentialareas, only 5.4% is in BITH habitat • Of all potential BITH habitat, 84% falls within the highest wind potential category VT Wind Resource Map from NREL 2007 Wind Farm Siting
- 20. Tools for Conservation • Public access to data and visualizations via AKN • Wind farm siting assessment • Range-wide analysis of preferred habitat characteristics
- 21. Climate and HabitatCovariates • Elevation • Slope • Aspect • Topographical index • Surficial geology • Latitude/longitude • Mean daily temperature • Mean night-time temperature • Mean precipitation • Canopy/subcanopy characteristics • Stem density • Basal area by class • Foliar calcium • Mercury exposure • Cone mast • Red Squirrel abundance • Wind power potential • Patch size • Patch composition • Isolation
- 22. Tools for Conservation • Public access to data and visualizations via AKN • Wind farm siting assessment • Range-wide analysis of preferred habitat characteristics • Assess habitat restoration in Hispaniola
- 23. Winter Habitat Restoration • Restore historical broadleaf forest in the Dominican Republic • Improve enforcement of protected areas • Correlate the extent of forest in Hispaniola with abundance of Bicknell’s Thrush on breeding range
- 24. Winter Habitat Restoration Population Size: Our Vision2008 2012 2016 2020 2024 2028 2032 2036 2040 2044 2048 2052 2056 2060
- 25. Meeting Citizen Science Challenges • Generate matching funds • Balance quantity with quality of info • Observer effects • Large geographic scope • Sustaining interest • Recruiting and training
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- 27. Acknowledgements A special thanksto Mountain Birdwatch volunteers