Biophysical And Physiological Ecology Of Loggerhead Turtle .

2y ago
145 Views
2 Downloads
4.97 MB
153 Pages
Last View : 1m ago
Last Download : 3m ago
Upload by : Angela Sonnier
Transcription

Biophysical and physiological ecology of loggerhead turtle nestsat Zakynthos and Kyparissia, GreeceA ThesisSubmitted to the FacultyofDrexel UniversitybyJack Samuel Sussin partial fulfillment of therequirements for the degreeofDoctor of PhilosophyJanuary 2013

ii Copyright 2013Jack S. Suss. All Rights Reserved

iiiACKNOWLEDGEMENTSI would like to thank NASA, the Betz Chair of Environmental Science at DrexelUniversity and Drexel’s Office of Graduate Studies for funding. Thank you also to mycollaborating organization, ARCHELON, The Sea Turtle Protection Society of Greece,for research facilities and housing while in Greece. Thank you to the National MarinePark of Zakynthos, especially Kostas Katselidis for permitting and logistical advice.I am very grateful to my advisors Jim Spotila and Mike O’Connor for theirmentoring. Jim has been paramount to my growth as a scientist and I am forever gratefulfor his encouragement. Mike has taught me to always question everything about myresults and to be my own biggest critic; he has been the strength of my research. To mycommittee members, Gail Schofield, Jake Russell, Sue Kilham, and Gail Hearn, I havebecome a better biologist thanks to interacting with you throughout the years. GailSchofield was especially a lifeline during the long field season in Greece, and has givenme more support than she could possibly realize.All of the members and volunteers of ARCHELON have been very supportive,especially Aliki Panagopoulou, my supervisor on behalf of the ARCHELON scientificcommittee, for advice and logistics help. Thank you to project leaders, Smaro Touliatouand Tom Riggall for their support at the camps in Zakynthos and Kyparissia. Especiallythank you to monitoring leaders, Tom Backof, Benny Hawksbee, Rob Newman, and MelHill for scheduling and providing volunteer support for my research. And thank you toPav Tsaros and Nikos Vallianos for being safety nets. To all of the volunteers who helpedto collect data and be part of my extended family in the field; I miss all of your smilesand enthusiasm.

ivThanks to Mira Stone Olson, Rich Weggel, Trish Gallagher and Ken Lacovara forhelping me to understand the complexities of soil physics and pointing me to theappropriate literature. An additional many thank yous to Mira Stone Olson for guidancewhile constructing the diffusivity and conductivity apparatuses.Thank you to my dedicated field assistants, Samir Patel, Noga Neeman, EmilyBell and Carolyn Kupec, who treated my project as their own and were always my bestsupport; I hope they always remember Greece fondly. Thank you to all my lab assistants,but especially Kathryn Christopher and Caileigh Felker who now know more about sandthan any reasonable person should, and probably never want to see it again.Shaya Honarvar and Bibi Santidrian Tomillo are my academic older sisters, andhave truly been there as mentors for me along the way. Thanks to my lab mates and allDrexel Ecology grad students for being great colleagues and friends.Thank you to my family for always supporting me. And especially thank you tomy wife, Lori Lester, you make me a better scientist, a better friend and a better person –I could not have done this without your love and support.

vTABLE OF CONTENTSACKNOWLEDGEMENTS . iiiLIST OF TABLES . viiiLIST OF FIGURES . ixABSTRACT . xivCHAPTER 1: INTRODUCTION . 1Background on Underground Nesting . 1Biophysical Ecology . 3Physiological Ecology . 5CHAPTER 2: BIOPHYSICAL ECOLOGY OF LOGGERHEAD TURTLE NESTINGBEACHES IN GREECE. 11Introduction . 11Methods. 12Results . 16Solar Radiation . 16Temperature . 16Rain . 17Relative Humidity. 17Wind Speed. 18Oxygen . 19Discussion . 19CHAPTER 3: WATER RELATIONS OF SEA TURTLE EGGS AND NESTINGBEACH SAND . 41Introduction . 41Methods. 42Water Content . 42Sand grain size characteristics . 42Water Potential . 43Data Analysis . 43Results . 44Water Content and Water Potential . 44Sand Grain Size. 44Discussion . 44

viCHAPTER 4: PHYSICAL CHARACTERISTICS OF SAND FROM SEA TURTLENESTING BEACHES AFFECT GAS MOVEMENT . 49Introduction . 49Methods. 54Sand Collection . 54Sand Grain Size. 55Porosity . 55Sand Preparation for diffusivity and conductivity experiments . 56Conductivity . 56Diffusivity . 57Statistics . 58Results . 58Grain Size. 58Porosity . 59Conductivity, Diffusivity and Specific Volume. 59Discussion . 60Sand Repacking and the Cluster Concept . 62Gas exchange of underground nests . 64CHAPTER 5: ABIOTIC AND BIOTIC EFFECTS ON THE GAS EXCHANGEENVIRONMENT OF LOGGERHEAD TURTLE NESTS IN GREECE . 78Introduction . 78Methods. 82Locations . 82Field Studies of Nests . 84Egg and hatchling characteristics . 86Hatching Success . 87Sand Collection . 88Water Content . 88Sand grain size characteristics . 89Data Analysis . 90Results . 90Hatching Success . 90Nest Oxygen . 91Nest Temperature . 92

viiPhysical factors on the beaches and nest density . 92Egg and hatchling characteristics . 93Discussion . 94Modeling abiotic and biotic factors affecting clutch metabolism . 97CHAPTER 6: CONCLUSION AND MANAGEMENT SUGGESTIONS . 118Management Suggestions . 121REFERENCES . 123VITA . 136

viiiLIST OF TABLESTable 3-1. Sand water content values (g g-1) at osmotic equilibrium were calculated fromthe slope of the line in Figure 3-1. High and low water contents were calculated from theslope of the line among positive error points and negative error points, respectively andrepresent the range of water content at the hydric stress boundary. Field water contentwas the average value of the 2010 nesting season. Median grain size (Φ50) and sorting(σΦ) are Φ (-log2(mm)) for the samples used to generate the water potential curves. Errorsare two standard errors of the mean. . 48Table 4-1. Median grain size and sorting. The values represent the mean 2 SE. . 70Table 5-1. Number of loggerhead turtle nests and controls on each beach on ZakanthosIsland and Kyparissia Bay in Greece in 2009 and 2010. The code is used in the graphs. 107Table 5-2. Median sand grain size, sand grain sorting and nest density for loggerheadnesting beaches on Zakynthos Island and Kyparissia Bay in Greece. . 108Table 5-3. Slope and intercept from equations used to predict diffusivity from air-filledporosity in sand on loggerhead turtle nesting beaches of Zakynthos and Kyparissia,Greece. . 114

ixLIST OF FIGURESFigure 2-1. The loggerhead turtle nesting beaches of Zakynthos Island (A) andKyparissia Bay (B), Greece. . 26Figure 2-2. During the nesting season for loggerhead turtles in Greece, the day lengthdecreases, reducing the amount of time that the beach is exposed to solar radiation. Thevertical grid lines correspond to the first day of the calendar months of June throughOctober. . 27Figure 2-3. Hourly mean solar radiation had a strong diurnal pattern during the week of01-07 August 2009 and 2010, with higher values during the middle of the day when thereis direct sunlight. Some clouds at Kyparissia on Julian day 217, 2009 resulted in theabnormal pattern on that day. All other days describe skies. Vertical grid lines are at00:00 hrs. 28Figure 2-4. Hourly mean temperature had a strong diurnal pattern during the week of 0107 August 2009 and 2010 with higher values during the day. Temperatures were higher atZakynthos than at Kyparissia. Vertical grid lines are at 00:00 hrs. . 29Figure 2-5. Sand temperatures at nest depth during the nesting seasons correspond to therange of daily temperatures (solid vertical lines) differently at different beaches. Mostsand temperatures are close to the pivotal temperature for sex determination forloggerheads (29.3 C, dotted line) except Marathonissi (both years) and Laganas (2009).Sand temperatures for Kyparissia beach sectors were often higher than observed airtemperatures in both years. Vertical grid lines correspond to the first day of the calendarmonths of June through December. . 30Figure 2-6. Total rainfall at Kyparissia and Zakynthos during the loggerhead turtlenesting seasons in 2009 and 2010. The vertical grid lines correspond to the first day ofthe calendar months of June through October. . 31Figure 2-7. Hourly mean relative humidity showed a cyclical diurnal pattern that washigher in the night and early morning during the week of 01-07 August 2009 and 2010.Humidity is higher and the diurnal pattern is clearer for Kyparissia than Zakynthos forboth years. Vertical grid lines are at 00:00 hrs. . 32

xFigure 2-8. Daily mean relative humidity was higher at Kyparissia than Zakynthosthroughout the nesting season. Error bars designate the daily range of humidity values.The vertical grid lines correspond to the first day of the calendar months of June throughOctober. . 33Figure 2-9. Mean hourly wind speed showed a diurnal pattern of windy days and calmnights that was clearer at Kyparissia during the week of 01-07 August 2009 and 2010.Vertical grid lines are at 00:00 hrs. . 34Figure 2-10. Mean daily wind speed at Kyparissia and Zakynthos, Greece during theloggerhead turtle nesting seasons in 2009 and 2010. Vertical grid lines correspond to thefirst day of the calendar months of June through October. . 35Figure 2-11. Oxygen concentrations at nest depth were generally below the atmosphericoxygen concentration (21.18 kPa, dotted line). Thiafi sand had lower oxygen in 2009.Vertical grid lines correspond to the first day of the calendar months of June throughDecember. . 36Figure 2-12. Daily profile for solar radiation on a flat beach and a beach with a 30 westfacing slope at 40 N latitude on the equinox (22 March or 22 September). The sand onthe west-facing slope is exposed to a higher peak solar radiation two hours later than onthe flat beach. Between 07:00 and 09:00, the west-facing slope is only exposed to diffusesolar radiation. 37Figure 2-13. Daily profile for solar radiation on a flat beach and a beach with a 30 westfacing slope at 40 N latitude on the summer solstice (22 June). The sand is exposed to themost solar radiation two hours later on the west-facing slope than the flat beach. Between05:45 and 08:30, the west-facing slope is only exposed to diffuse solar radiation. . 38Figure 2-14. Daily profile for solar radiation on the crest of a beach berm consisting of aflat top and a 45 west-facing slope at 40 N latitude on the equinox (22 March or 22September). The sand at the curve of crest is exposed to peak solar radiation from 13:00until 16:00 and more total solar radiation than either the flat beach or west-facing slopealone. . 39

xiFigure 2-15. Daily profile for solar radiation on the crest of a beach berm consisting of aflat top and a 45 west-facing slope at 40 N latitude on the summer solstice (22 June).The sand at the curve of crest is exposed to peak solar radiation from 13:00 until 16:00and more total solar radiation than either the flat beach or west-facing slope alone. . 40Figure 3-1. The water potential curve for loggerhead turtle nesting beaches at Zakynthosand Kyparissia, Greece demonstrates that when the water potential of the sand has ahigher value (less negative) than the water potential of the sea turtle egg shell (-0.75MPa, horizontal dotted line) the eggs are not under hydric stress. Error bars are twostandard errors of the mean. . 47Figure 4-1. Diagram of the laboratory set-up for testing sand conductivity. I measureddifferential pressure (manometer) across a column of sand using unidirectional flowcontrolled (rotameter) wa

at Zakynthos and Kyparissia, Greece A Thesis Submitted to the Faculty of Drexel University by Jack Samuel Suss in partial fulfillment of the require

Related Documents:

table of contents introduction to alberta postpartum and newborn clinical pathways 6 acknowledgements 7 postpartum clinical pathway 8 introduction 9 physiological health: vital signs 12 physiological health: pain 15 physiological health: lochia 18 physiological health: perineum 19 physiological health: abdominal incision 20 physiological health: rh factor 21 physiological health: breasts 22

the following aims: (1) determine whether biophysical processes could be used to predict and map landscape fuel hazard; (2) assess the predictive capability of biophysical models and (3) compare biophysical models of fuel hazard to current operational methods. 2. Materials and Methods 2.1.

population ecology) and then subsequently covering interactions between species in a community (i.e., community ecology). However, to facilitate completion of the final paper, I have recently switched to covering community ecology and ecosystem ecology before population ecology. As both ecology and evolution have to be covered in the same .

Biophysical modelling can help estimate future conditions, services and capacity It supports scenario analysis Many biophysical models are spatial and combine data from many sources Geographic Information Systems (GIS) and pre-defined modelling packages have methods and formulas included Some models may be better than others, depending on purpose

Jan 17, 2018 · Biology: The Dynamics of Life, Glencoe Biology/Biophysical Science 2005 Modern Biology, Holt, Reinhart, and Winston Biology/Biophysical Science 2002 Biology, Prentice Hall Biology/Biophysical Science 2004 BSCS Biology: A Molecular Approach, 8th

it means that a measurement or model prediction at any point in space can be considered representative of the entire plant . utilize state-of-the-art biophysical models with high complexity . Bailey Helios Biophysical Modelling Framework Frontiers in Plant Science www.frontiersin.org 3 October 2019 Volume 10 Article 1185

ecology) and then subsequently covering interactions between species in a community (i.e., community ecology). However, to facilitate completion of the final paper, I sometimes vary my presentation of certain subjects in ecology, depending on the nature of the course project. As both ecology and evolution have to be covered in the same semester .

Ecology therefore means the study of an organism in its natural home. Odum (1963) defined ecology as the study of structure and function of nature or the study of inter-relationships between organisms and their environment. ECOLOGY AS A COURSE: Ecology is part of Biology because it dea