Predator-prey pursuit-evasion games in structurally complex environments.

Pursuit and evasion behaviors in many predator-prey encounters occur in a geometrically structured environment. The physical structures in the environment impose strong constraints on the perception and behavioral responses of both antagonists. Nevertheless, no experimental or theoretical study has tackled the issue of quantifying the role of the habitat's architecture on the joint trajectories during a predator-prey encounter. In this study, we report the influence of microtopography of forest leaf litter on the pursuit-evasion trajectories of wolf spiders Pardosa sp. attacking the wood cricket Nemobius sylvestris. Fourteen intact leaf litter samples of 1 m × 0.5 m were extracted from an oak-beech forest floor in summer and winter, with later samples having the most recently fallen leaves. Elevation was mapped at a spatial resolution of 0.5 mm using a laser scanner. Litter structuring patterns were identified by height transects and experimental semi-variograms. Detailed analysis of all visible leaf-fragments of one sample enabled us to relate the observed statistical patterns to the underlying geometry of individual elements. Video recording of pursuit-evasion sequences in arenas with flat paper or leaf litter enabled us to estimate attack and fleeing distances as a function of substrate. The compaction index, the length of contiguous flat surfaces, and the experimental variograms showed that the leaf litter was smoother in summer than in winter. Thus, weathering as well as biotic activities compacted and flattened the litter over time. We found good agreement between the size of the structuring unit of leaf litter and the distance over which attack and escape behaviors both were initiated (both ∼3 cm). There was a four-fold topographical effect on pursuit-escape sequences; compared with a flat surface, leaf litter (1) greatly reduced the likelihood of launching a pursuit, (2) reduced pursuit and escape distances by half, (3) put prey and predator on par in terms of pursuit and escape distances, and (4) reduced the likelihood of secondary pursuits, after initial escape of the prey, to nearly zero. Thus, geometry of the habitat strongly modulates the rules of pursuit-evasion in predator-prey interactions in the wild.

[1]  Chi-Hua Huang,et al.  An Instantaneous‐Profile Laser Scanner to Measure Soil Surface Microtopography , 2003 .

[2]  T. Steinmann,et al.  Spider's attack versus cricket's escape: velocity modes determine success , 2006, Animal Behaviour.

[3]  M. Ford Metabolic costs of the predation strategy of the spider Pardosa amentata (Clerck) (Lycosidae) , 1977, Oecologia.

[4]  Shmuel Gal,et al.  The theory of search games and rendezvous , 2002, International series in operations research and management science.

[5]  Mutsunori Tokeshi,et al.  Effects of habitat complexity on benthic assemblages in a variable environment , 2004 .

[6]  Steve Alpern,et al.  Mining Coal or Finding Terrorists: The Expanding Search Paradigm , 2013, Oper. Res..

[7]  Steve Alpern,et al.  On Search Games That Include Ambush , 2013, SIAM J. Control. Optim..

[8]  Jérôme Casas,et al.  Diet choice of a predator in the wild: overabundance of prey and missed opportunities along the prey capture sequence , 2011 .

[9]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[10]  Mark Broom,et al.  You can run--or you can hide: optimal strategies for cryptic prey against pursuit predators , 2005 .

[11]  S. L. Lima Putting predators back into behavioral predator–prey interactions , 2002 .

[12]  H. Heatwole Analysis of the Forest Floor Habitat with a Structural Classification of the Litter or Layer , 1961 .

[13]  Domenici,et al.  The kinematics and performance of fish fast-start swimming , 1997, The Journal of experimental biology.

[14]  Jérôme Casas,et al.  Variation in morphology and performance of predator-sensing system in wild cricket populations , 2005, Journal of Experimental Biology.

[15]  R. Denno,et al.  Spatial refuge from intraguild predation: implications for prey suppression and trophic cascades , 2006, Oecologia.

[16]  W. Gnatzy,et al.  Digger wasp against crickets. II. An airborne signal produced by a running predator , 1990, Journal of Comparative Physiology A.

[17]  E. Kalko,et al.  Insect pursuit, prey capture and echolocation in pipestirelle bats (Microchiroptera) , 1995, Animal Behaviour.

[18]  Jérôme Casas,et al.  Geometrical Games between a Host and a Parasitoid , 2000, The American Naturalist.

[19]  Jérôme Casas,et al.  Danger detection and escape behaviour in wood crickets. , 2011, Journal of insect physiology.

[20]  P. D. Gabbutt The Bionomics of the Wood Cricket, Nemobius sylvestris (Orthoptera: Gryllidae) , 1959 .

[21]  Anthony Bonato,et al.  The Game of Cops and Robbers on Graphs , 2011 .

[22]  A. Garnaev Search Games and Other Applications of Game Theory , 2000 .

[23]  Thomas Steinmann,et al.  The Aerodynamic Signature of Running Spiders , 2008, PloS one.

[24]  Modulation of prey-capture behavior in the plethodontid salamander Ensatina eschscholtzii , 1997, The Journal of experimental biology.

[25]  T. Schoener Theory of Feeding Strategies , 1971 .

[26]  G. Uetz The influence of variation in litter habitats on spider communities , 2004, Oecologia.

[27]  P. Webb,et al.  Strike tactics of Esox. , 1980, Canadian journal of zoology.

[28]  G. Lauder,et al.  Predator-Prey Relationships: Perspectives and Approaches from the Study of Lower Vertebrates , 1986 .

[29]  Hans A. Hofmann,et al.  Quantifying habitat complexity in aquatic ecosystems , 2007 .

[30]  Björn Berg,et al.  Plant Litter: Decomposition, Humus Formation, Carbon Sequestration , 2003 .

[31]  J. Finnigan Turbulence in plant canopies , 2000 .

[32]  Kenneth C. Catania,et al.  Asymptotic prey profitability drives star-nosed moles to the foraging speed limit , 2005, Nature.

[34]  Akinori Takahashi,et al.  Linking animal-borne video to accelerometers reveals prey capture variability , 2013, Proceedings of the National Academy of Sciences.

[35]  W. Edgar Prey and predators of the Wolf spider Lycosa lugubris , 2009 .

[36]  P. Abrams The Evolution of Predator-Prey Interactions: Theory and Evidence , 2000 .

[37]  A. Porporato,et al.  Analysis of the small-scale structure of turbulence on smooth and rough walls , 2003 .

[38]  B. Robson Habitat architecture and trophic interaction strength in a river: riffle-scale effects , 1996, Oecologia.

[39]  R. Meyhöfer,et al.  Vibration–mediated interactions in a host–parasitoid system , 1997, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[40]  G. Uetz,et al.  Effect of Structure and Nutritional Quality of Litter on Abundances of Litter-dwelling Arthropods , 1984 .

[41]  N. Pettorelli,et al.  Stalk and chase: how hunt stages affect hunting success in Serengeti cheetah , 2012, Animal Behaviour.

[42]  Jeffrey M. Camhi,et al.  Neuroethology: Nerve Cells and the Natural Behavior of Animals , 1984 .

[43]  Robbert Fokkink,et al.  Ambush frequency should increase over time during optimal predator search for prey , 2011, Journal of The Royal Society Interface.

[44]  G. Helfman,et al.  Mode Selection and Mode Switching in Foraging Animals , 1990 .

[45]  J. Rydell,et al.  Foraging Strategy and Predation Risk as Factors Influencing Emergence Time in Echolocating Bats , 1994 .

[46]  H. Wackernagle,et al.  Multivariate geostatistics: an introduction with applications , 1998 .

[47]  W. Gnatzy,et al.  Digger wasp vs. Cricket: (Neuro-) biology of a predator-prey-interaction , 2001 .

[48]  S. Merilaita,et al.  Animal Camouflage: Mechanisms and Function , 2011 .

[49]  C. Gans,et al.  How Does the Toad Flip Its Tongue? Test of Two Hypotheses , 1982, Science.