2013 GISCO Track, Measuring Changes to Sea Turtle Nesting Beaches and Their Effects on Nesting...
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Transcript of 2013 GISCO Track, Measuring Changes to Sea Turtle Nesting Beaches and Their Effects on Nesting...
![Page 1: 2013 GISCO Track, Measuring Changes to Sea Turtle Nesting Beaches and Their Effects on Nesting Success Using LiDAR Data by Kristina Yamamoto](https://reader034.fdocuments.net/reader034/viewer/2022051817/547a2c3db379593f2b8b4993/html5/thumbnails/1.jpg)
http://surfspots-gps.com
Measuring changes to sea turtle nesting beaches and their effects on nesting success using LiDAR data
Kristina Yamamoto, PhD
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Current Knowledge/Limitations
• Green turtles – like vegetation • Leatherbacks and loggerheads – do not like
vegetation • Multiple beaches – rarity • Beach as a whole – rarity • Morphological features – rare • Studies over time - rare
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LiDAR Background
• Laser signals sent as pulses from typically in the ultraviolet (UV), visible, and near infrared (NIR)
z y
x
z y
x
pitch roll
yaw
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LiDAR Cloud
http://www.pobonline.com/POB/Home/Images/pob1009_woolpert03_LiDAR_Point.jpg
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Study Species: Loggerhead
• Caretta caretta • Big head
http://www.supergreenme.com/data/images/27/500x333_Loggerhead_Sea_Turtle-Georgia-Aquarium.jpg /
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Study Species: Green
• Chelonia mydas • Soup turtle
http://greatescapetravel.com/
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Study Species: Leatherback
• Dermochelys coriacea
• Half the size of a VW beetle
http://fwie.fw.vt.edu/VHS/reptiles/turtles/leatherback-sea-turtle/leatherback-seaturtle2.jpg/
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Study Area
One of the largest loggerhead rookeries in the world, one of the largest green turtle nesting areas in the Atlantic ,and the only continuously used nesting area in the continental United States for leatherbacks
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Study Data
Name Dates
LiDAR topo: Airborne Topographic Mapper (ATM) II
1999
LIDAR topo/bathy: Joint Airborne LiDAR Bathymetry Technical Center of Expertise (JALBTX) using the Compact Hydrographic Airborne Rapid Total Survey (CHARTS) system
2004, 2006
Florida Fish and Wildlife Conservation Commission nesting data
1999-2008
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Current Knowledge/Limitations
• Green turtles – like vegetation • Leatherbacks and loggerheads – do not like
vegetation • Multiple beaches – rarity • Beach as a whole – rarity • Morphological features – rare • Studies over time - rare
![Page 11: 2013 GISCO Track, Measuring Changes to Sea Turtle Nesting Beaches and Their Effects on Nesting Success Using LiDAR Data by Kristina Yamamoto](https://reader034.fdocuments.net/reader034/viewer/2022051817/547a2c3db379593f2b8b4993/html5/thumbnails/11.jpg)
• 1999, 2004, and 2006 LiDAR data compared • How do sea turtle nesting beaches change
over time? • How does this affect sea turtle nesting
success?
Methods
1999 2004 2006
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Methods
Variables to be Compared Between Beaches
Volume
Elevation
Slope
Beach length, width, area
Orientation
Aspect Surface roughness Pixel position
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Change to Beach Variables
1999 2004 2006
• How does the volume of beaches change over time?
• Is there a geographic or morphologic pattern?
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Results: Changes to Beach Variables
• No geographic pattern or orientation correlation with beach change in volume
Beach 1999
Volume 2004
Volume 2006
Volume Boca Raton Beaches 0.656 0.813 0.881 Deerfield/Hillsboro Beaches 0.654 0.660 0.035 Delray Beach 0.607 0.615 0.708 Ft Lauderdale Beach 0.988 1.193 1.006 Golden Beach 0.143 0.170 0.146 Gulfstream 0.101 0.099 0.136 Gulfstream Park 0.005 0.006 0.006 Hollywood/Hallandale Beach 0.626 0.743 0.411 John U. Lloyd Beach State Park 0.268 0.275 0.284 Kreusler Park 0.040 0.035 0.025 Lake Worth Municipal Beach 0.022 0.022 0.021 Lantana 0.009 0.010 0.007 Macarthur State Park 0.134 0.199 0.265 Ocean Inlet Park 0.025 0.035 0.038 Ocean Reef Park 0.001 0.001 0.011 Pompano/Lauderdale-by-the-Sea 1.418 1.934 1.916 Singer Island 0.102 0.108 0.213 Sloan's Curve 0.040 0.053 0.079
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Change to Beach Variables
2: Beach Change over Time
1999 2004 2006
Is the difference in the amount of sand present in a beach related to change in other beach characteristics?
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Results: Changes to Beach Variables
• Weak correlations to change in volume with change in other variables
2: Beach Change over Time
Variable R2 Variable coefficient Change in minimum elevation 0.31 -88940.26 Change in maximum elevation 0.18 44982.07 Change in maximum slope 0.21 8490.37 Change in average slope 0.13 33350.83 Change in minimum TPI 0.22 -113775.60 Change in maximum TPI 0.20 55026.90 Change in standard deviation of TPI 0.15 183321.30 Change in standard deviation of rugosity 0.16 3058584.90
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Results: Changes to Beach Variables
• For minimum elevation, 90% of the beaches decreased their minimum elevation between 1999 and 2004
• 83% gained between 2004 and 2005 • Similar trends seen for standard deviation of
elevation, maximum slope, and minimum and standard deviation of TPI
2: Beach Change over Time
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Change to Beach Variables
2: Beach Change over Time
1999 2004 2006
How do changes to beach morphology affect nesting success?
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Results: Change in nesting success
Variable R2 Variable coefficient Change in minimum elevation 0.184 7.435 Change in maximum slope 0.158 -0.809 Change in minimum TPI 0.113 8.919 Change in maximum TPI 0.229 6.400
2: Beach Change over Time
Variable R2 Variable coefficient
Change in mean TPI 0.210 645.121
Caretta caretta
Chelonia mydas
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Conclusion
• Broad generalizations about the effects of beach volume changes to a beach’s morphology cannot be made for this study area – beaches act as individuals
• Nesting success for Chelonia mydas and Caretta caretta were not wholly affected by the observed changes to their nesting beaches
2: Beach Change over Time