Evaluating the landscape of fear between apex predatory sharks and mobile sea turtles across a large dynamic seascape

被引:54
作者
Hammerschlag, Neil [1 ,2 ]
Broderick, Annette C. [3 ]
Coker, John W. [4 ]
Coyne, Michael S. [5 ]
Dodd, Mark [6 ]
Frick, Michael G. [7 ]
Godfrey, Matthew H. [8 ]
Godley, Brendan J. [3 ]
Griffin, DuBose B. [9 ]
Hartog, Kyra [1 ]
Murphy, Sally R. [9 ]
Murphy, Thomas M. [4 ]
Nelson, Emily Rose [1 ]
Williams, Kristina L. [10 ]
Witt, Matthew J. [11 ]
Hawkes, Lucy A. [3 ]
机构
[1] Univ Miami, Rosenstiel Sch Marine & Atmospher Sci, Miami, FL 33149 USA
[2] Univ Miami, Leonard & Jayne Abess Ctr Ecosyst Sci & Policy, Coral Gables, FL 33124 USA
[3] Univ Exeter, Coll Life & Environm Sci, Ctr Ecol & Conservat, Falmouth TR10 9FE, Cornwall, England
[4] South Carolina Dept Nat Resources, Wildlife & Freshwater Fisheries, Green Pond, SC 29446 USA
[5] SeaTurtle Org, Durham, NC 27705 USA
[6] Georgia Dept Nat Resources, Brunswick, GA 31520 USA
[7] Univ Florida, Dept Biol, Archie Carr Ctr Sea Turtle Res, Gainesville, FL 32611 USA
[8] North Carolina Wildlife Resources Commiss, Beaufort, NC 28516 USA
[9] South Carolina Dept Nat Resources, Wildlife & Freshwater Fisheries Div, Charleston, SC 29422 USA
[10] Savannah Sci Museum, Caretta Res Project, Savannah, GA 31412 USA
[11] Univ Exeter, Environm & Sustainabil Inst, Falmouth TR10 9FE, Cornwall, England
关键词
biotelemetry; Caretta caretta; ecology of fear; ecosystem; Galeocerdo cuvier; landscape of fear; predation risk; predator-prey interactions; satellite tagging; sharks; trophic cascades; turtles; HABITAT USE; LOGGERHEAD TURTLES; GALEOCERDO-CUVIER; TIGER SHARK; MARINE PREDATOR; ROE DEER; RISK; PREY; IMPACTS; VULNERABILITY;
D O I
10.1890/14-2113.1
中图分类号
Q14 [生态学(生物生态学)];
学科分类号
071012 ; 0713 ;
摘要
The "landscape of fear'' model has been proposed as a unifying concept in ecology, describing, in part, how animals behave and move about in their environment. The basic model predicts that as an animal's landscape changes from low to high risk of predation, prey species will alter their behavior to risk avoidance. However, studies investigating and evaluating the landscape of fear model across large spatial scales (tens to hundreds of thousands of square kilometers) in dynamic, open, aquatic systems involving apex predators and highly mobile prey are lacking. To address this knowledge gap, we investigated predatorprey relationships between tiger sharks (Galeocerdo cuvier) and loggerhead turtles (Caretta caretta) in the North Atlantic Ocean. This included the use of satellite tracking to examine shark and turtle distributions as well as their surfacing behaviors under varying levels of home range overlap. Our findings revealed patterns that deviated from our a priori predictions based on the landscape of fear model. Specifically, turtles did not alter their surfacing behaviors to risk avoidance when overlap in shark-turtle core home range was high. However, in areas of high overlap with turtles, sharks exhibited modified surfacing behaviors that may enhance predation opportunity. We suggest that turtles may be an important factor in determining shark distribution, whereas for turtles, other life history trade-offs may play a larger role in defining their habitat use. We propose that these findings are a result of both biotic and physically driven factors that independently or synergistically affect predator-prey interactions in this system. These results have implications for evolutionary biology, community ecology, and wildlife conservation. Further, given the difficulty in studying highly migratory marine species, our approach and conclusions may be applied to the study of other predatorprey systems.
引用
收藏
页码:2117 / 2126
页数:10
相关论文
共 58 条
[1]  
[Anonymous], LOGGERHEAD SEA TURTL
[2]  
APPLEGATE SHELTON P., 1965, BULL SOUTHERN CALIF ACAD SCI, V64, P122
[3]   Use of multiple orientation cues by juvenile loggerhead sea turtles Caretta caretta [J].
Avens, L ;
Lohmann, KJ .
JOURNAL OF EXPERIMENTAL BIOLOGY, 2003, 206 (23) :4317-4325
[4]   Navigation and seasonal migratory orientation in juvenile sea turtles [J].
Avens, L ;
Lohmann, KJ .
JOURNAL OF EXPERIMENTAL BIOLOGY, 2004, 207 (11) :1771-1778
[5]   Disentangling Woodland Caribou Movements in Response to Clearcuts and Roads across Temporal Scales [J].
Beauchesne, David ;
Jaeger, Jochen A. G. ;
St-Laurent, Martin-Hugues .
PLOS ONE, 2013, 8 (11)
[6]   Assessment of prey vulnerability through analysis of wolf movements and kill sites [J].
Bergman, EJ ;
Garrott, RA ;
Creel, S ;
Borkowski, JJ ;
Jaffe, R ;
Watson, EGR .
ECOLOGICAL APPLICATIONS, 2006, 16 (01) :273-284
[7]  
BONAZZO A, 2000, BRAIN BEHAV EVOLUT, V55, P191
[8]   The ecology of fear:: Optimal foraging, game theory, and trophic interactions [J].
Brown, JS ;
Laundré, JW ;
Gurung, M .
JOURNAL OF MAMMALOGY, 1999, 80 (02) :385-399
[9]   Hazardous duty pay and the foraging cost of predation [J].
Brown, JS ;
Kotler, BP .
ECOLOGY LETTERS, 2004, 7 (10) :999-1014
[10]   Patterns of top-down control in a seagrass ecosystem: could a roving apex predator induce a behaviour-mediated trophic cascade? [J].
Burkholder, Derek A. ;
Heithaus, Michael R. ;
Fourqurean, James W. ;
Wirsing, Aaron ;
Dill, Lawrence M. .
JOURNAL OF ANIMAL ECOLOGY, 2013, 82 (06) :1192-1202