Trait-mediated trophic interactions: is foraging theory keeping up?

Many ecologists believe that there is a lack of foraging theory that works in community contexts, for populations of unique individuals each making trade-offs between food and risk that are subject to feedbacks from behavior of others. Such theory is necessary to reproduce the trait-mediated trophic interactions now recognized as widespread and strong. Game theory can address feedbacks but does not provide foraging theory for unique individuals in variable environments. 'State- and prediction-based theory' (SPT) is a new approach that combines existing trade-off methods with routine updating: individuals regularly predict future food availability and risk from current conditions to optimize a fitness measure. SPT can reproduce a variety of realistic foraging behaviors and trait-mediated trophic interactions with feedbacks, even when the environment is unpredictable.

[1]  M. Mangel,et al.  PREY STATE AND EXPERIMENTAL DESIGN AFFECT RELATIVE SIZE OF TRAIT- AND DENSITY-MEDIATED INDIRECT EFFECTS , 2003 .

[2]  C. Clark,et al.  Dynamic State Variable Models in Ecology , 2000 .

[3]  A. Dickinson,et al.  Planning for the future by western scrub-jays , 2007, Nature.

[4]  J. Giske,et al.  Ecology in Mare Pentium: an individual-based spatio-temporal model for fish with adapted behaviour , 1998 .

[5]  Steven F. Railsback,et al.  Pattern-oriented modeling of bird foraging and pest control in coffee farms , 2011 .

[6]  Thomas J. Valone,et al.  Are animals capable of Bayesian updating? An empirical review , 2006 .

[7]  Thorolfur Antonsson,et al.  Variability in Timing and Characteristics of Atlantic Salmon Smolt in Icelandic Rivers , 2002 .

[8]  Geir Huse,et al.  Artificial Evolution of Life History and Behavior , 2002, The American Naturalist.

[9]  Steven F. Railsback,et al.  ANALYSIS OF HABITAT‐SELECTION RULES USING ANINDIVIDUAL‐BASED MODEL , 2002 .

[10]  Daniel Fortin,et al.  Adaptive models for large herbivore movements in heterogeneous landscapes , 2005, Landscape Ecology.

[11]  D. Bolnick,et al.  RESOURCE COMPETITION MODIFIES THE STRENGTH OF TRAIT- MEDIATED PREDATOR-PREY INTERACTIONS: A META-ANALYSIS , 2005 .

[12]  T. Caro.  Behavior and conservation: a bridge too far? , 2007, Trends in ecology & evolution.

[13]  Marcus W. Feldman,et al.  A model of individual adaptive behavior in a fluctuating environment , 1996 .

[14]  J. Emlen.  The Role of Time and Energy in Food Preference , 1966, The American Naturalist.

[15]  O. Schmitz,et al.  SCALING FROM INDIVIDUALS TO FOOD WEBS: THE ROLE OF SIZE-DEPENDENT RESPONSES OF PREY TO PREDATION RISK , 2004 .

[16]  Oswald J. Schmitz,et al.  From interesting details to dynamical relevance: toward more effective use of empirical insights in theory construction , 2001 .

[17]  W. Cresswell,et al.  Body mass change strategies in blackbirds Turdus merula: the starvation–predation risk trade‐off , 2005 .

[18]  Steven F. Railsback,et al.  Movement rules for individual-based models of stream fish , 1999 .

[19]  Oswald J. Schmitz,et al.  Trophic cascades : the primacy of trait-mediated indirect interactions , 2004 .

[20]  O. Schmitz,et al.  Predator and Prey Models with Flexible Individual Behavior and Imperfect Information , 2000, The American Naturalist.

[21]  Peter A. Abrams,et al.  Implications of flexible foraging for interspecific interactions: lessons from simple models , 2010 .

[22]  W. Resetarits,et al.  Threat of predation negates density effects in larval gray treefrogs , 2004, Oecologia.

[23]  Steven F Railsback,et al.  Pattern-oriented modelling: a ‘multi-scope’ for predictive systems ecology , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.

[24]  M. Mangel,et al.  Behavioral models as a common framework to predict impacts of environmental change on seabirds and fur seals , 2012 .

[25]  S. Alonzo.  State-dependent habitat selection games between predators and prey: the importance of behavioural interactions and expected lifetime reproductive success , 2002 .

[26]  C. Clark,et al.  Towards a Unifield Foraging Theory , 1986 .

[27]  G. Huse.  Individual‐based Modeling and Ecology , 2008 .

[28]  Vlastimil Křivan,et al.  CONNECTING THEORETICAL AND EMPIRICAL STUDIES OF TRAIT‐MEDIATED INTERACTIONS , 2003 .

[29]  D. Bolnick,et al.  SCARED TO DEATH? THE EFFECTS OF INTIMIDATION AND CONSUMPTION IN PREDATOR–PREY INTERACTIONS , 2005 .

[30]  Tatsuya Amano,et al.  DECISION-MAKING IN GROUP FORAGERS WITH INCOMPLETE INFORMATION: TEST OF INDIVIDUAL-BASED MODEL IN GEESE , 2006 .

[31]  M. Mangel,et al.  ECOLOGICAL GAMES IN SPACE AND TIME: THE DISTRIBUTION AND ABUNDANCE OF ANTARCTIC KRILL AND PENGUINS , 2003 .

[32]  E. Werner,et al.  Interaction Between Food Availability and Predation Mortality Mediated by Adaptive Behavior , 1995 .

[33]  Steven F. Railsback,et al.  Tests of Theory for Diel Variation in Salmonid Feeding Activity and Habitat Use , 2005 .

[34]  S. Peacor,et al.  A REVIEW OF TRAIT-MEDIATED INDIRECT INTERACTIONS IN ECOLOGICAL COMMUNITIES , 2003 .

[35]  Daniel B. Stouffer,et al.  Scaling from individuals to networks in food webs , 2010 .

[36]  Marc Mangel,et al.  Explicit trade-off rules in proximate adaptive agents , 2003 .

[37]  Oswald J. Schmitz,et al.  Combining field experiments and individual‐based modeling to identify the dynamically relevant organizational scale in a field system , 2000 .

[38]  W. Sutherland,et al.  Model complexity and population predictions. The alpine marmot as a case study , 2002 .

[39]  R. Macarthur,et al.  On Optimal Use of a Patchy Environment , 1966, The American Naturalist.

[40]  D. Réale,et al.  Anticipation and tracking of pulsed resources drive population dynamics in eastern chipmunks. , 2011, Ecology.

[41]  P. Abrams.  Defining and measuring the impact of dynamic traits on interspecific interactions. , 2007, Ecology.

[42]  P. Bednekoff.  Models of Adaptive Behaviour: An Approach based on State , 2000, Animal Behaviour.

[43]  Uta Berger,et al.  Pattern-Oriented Modeling of Agent-Based Complex Systems: Lessons from Ecology , 2005, Science.

[44]  P. Abrams.  Why Predation Rate Should Not be Proportional to Predator Density , 1993 .

[45]  Monica G. Turner,et al.  Filling key gaps in population and community ecology , 2007 .

[46]  E. Charnov.  Optimal foraging, the marginal value theorem. , 1976, Theoretical population biology.

[47]  Joel s. Brown,et al.  The Ecology of Fear: Optimal Foraging, Game Theory, and Trophic Interactions , 1999 .

[48]  Oswald J. Schmitz,et al.  Resolving Ecosystem Complexity , 2010 .

[49]  S. Peacor.  Positive effect of predators on prey growth rate through induced modifications of prey behaviour , 2002 .

[50]  Owen L. Petchey,et al.  Adaptive foragers and community ecology: linking individuals to communities and ecosystems , 2010 .

[51]  U Dieckmann,et al.  Can adaptive dynamics invade? , 1997, Trends in ecology & evolution.

[52]  Simon A. Levin,et al.  Fragile Dominion: Complexity and the Commons , 1999 .