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Nocturnal Bird and Bat Migration in the Central Appalachians. Increase understanding of spatiotemporal distribution
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3. Nocturnal Bird and Bat Migration in the Central Appalachians Increase understanding of spatiotemporal distribution & flight characteristics of nocturnal migrants
Specific objectives:
Document broad-scale patterns
Document site-specific passage rates, flight directions & altitudes
4. Nocturnal Bird and Bat Migration in the Central Appalachians
Specific objectives:
Obtain information on identity & relative abundance of bird species that call while migrating
Model effects of location, topography, weather, etc. on migrant abundance & flight characteristics
5. Results will be used to: Identify where or when migrants might be at risk from wind power development
Inform project review/permitting process
Assess risk to migratory populations
Siting & operational guidelines
Identify important migration pathways for conservation actions
6. Broad-scale Patterns ANALYSIS OF NEXRAD DATA
Temporal and spatial distribution & density
Direction of movement to assess migrant response to topography
7. NEXRAD radial velocity images 4 Sept 2003, 2300 EDT Note the clean hourglass-like pattern typical for Raleigh, located in the Piedmont, indicating one primary traffic vector. In contrast, migration passage near Roanoke & Charleston often shows discontinuities in direction and larger areas of ambiguity, indicating birds moving in multiple directions, possibly in response to topography. Ragged edges to the sampled areas occur where topography blocks radar coverageNote the clean hourglass-like pattern typical for Raleigh, located in the Piedmont, indicating one primary traffic vector. In contrast, migration passage near Roanoke & Charleston often shows discontinuities in direction and larger areas of ambiguity, indicating birds moving in multiple directions, possibly in response to topography. Ragged edges to the sampled areas occur where topography blocks radar coverage
8. Limitations of NEXRAD data Incomplete coverage
Topographic blockages within areas of coverage
Does not provide information on altitudinal zone of interest
9. Site-specific Information on Migrant Abundance & Flight Acoustic Monitoring
Index abundance of migrating birds that call while in flight
Relative abundance of species or species groups
Portable Radar Sampling
Target density, altitude, direction & speed of movement
11. Acoustic Monitoring of Migrant Passage
12. Acoustic Monitoring Advantages
Samples altitudinal zone that could be occupied by wind turbines
ARUs relatively inexpensive (~$500)
Suitable for forested or remote locations
Can be established in small clearings
Easily portable
Limitations
Not all migrating birds call in flight, or call at all times
Technical problems with recording units
13. Data Management Huge effort required to process & analyze sound files
60 – 90 gigabytes compressed audio per site per fall season
1.7 – 2.6 terabytes per fall season (compressed)
Uncompressed ratio 11:1
14. Sound File Analysis Scan recordings to detect calls
Summarize calls for each location and night
15. What Have We Found? Highly variable spatially & temporally
Need to develop sub-sampling approach
Large number of false positives (weather & spring peepers)
If time allows will be able to identify some to species level
17. Portable Radar Sampling Detects ‘all’ targets, including bats, out to 1850 m
Altitudinal distribution to 1400 m AGL
Complementary technique
Radar sampling allows estimation of proportion of migrants detected acoustically
Acoustic monitoring ‘informs’ radar of species composition of bird targets
18. Vertical Radar
20. Portable radar sampling Limitations
Site requirements
Relatively large open area (or need jack to raise radar above tree level)
For vertical radar, clear view from E-W horizons
Accessible by road
Few topographic blockages
Cannot reliably distinguish birds from bats
Relatively expensive
Few possible sites in Central Appalachians, at least on public lands. Few possible sites in Central Appalachians, at least on public lands.
21. Preliminary Radar Results Approx 1/3 of biological targets occur below 300 meters AGL
Limited to spring 2006
More results to be presented March 24 in conjunction with Wilson Meeting
23. Acknowledgements Funding
USGS FWS Science Support Program (R5)
USFWS – Atlantic Coast Joint Venture
Monongahela National Forest
Maryland DNR (SWG)
West Virginia DNR (SWG)
Virginia DGIF (SWG)
The Nature Conservancy of VA (matching funds for VA SWG)
24. Acknowledgements Logistical Support
Monongahela National Forest
George Washington & Jefferson National Forests
Virginia DGIF
Canaan Valley NWR
The Nature Conservancy
Cornell Lab of Ornithology
25. For additional information:
Deanna Dawson ddawson@usgs.gov
Tim Jones tim_jones@fws.gov
http://www.pwrc.usgs.gov/resshow/windpower/