Emerging Network-Based Tools in Movement Ecology.

New technologies have vastly increased the available data on animal movement and behaviour. Consequently, new methods deciphering the spatial and temporal interactions between individuals and their environments are vital. Network analyses offer a powerful suite of tools to disentangle the complexity within these dynamic systems, and we review these tools, their application, and how they have generated new ecological and behavioural insights. We suggest that network theory can be used to model and predict the influence of ecological and environmental parameters on animal movement, focusing on spatial and social connectivity, with fundamental implications for conservation. Refining how we construct and randomise spatial networks at different temporal scales will help to establish network theory as a prominent, hypothesis-generating tool in movement ecology.

[1]  Richard James,et al.  Hypothesis testing in animal social networks. , 2011, Trends in ecology & evolution.

[2]  I. Couzin,et al.  Shared decision-making drives collective movement in wild baboons , 2015, Science.

[3]  J. Krause,et al.  Exploring Animal Social Networks , 2008 .

[4]  Benjamin D. Dalziel,et al.  Fitting Probability Distributions to Animal Movement Trajectories: Using Artificial Neural Networks to Link Distance, Resources, and Memory , 2008, The American Naturalist.

[5]  J. Fryxell,et al.  Are there general mechanisms of animal home range behaviour? A review and prospects for future research. , 2008, Ecology letters.

[6]  L. A. Munro,et al.  Application of network analysis to farmed salmonid movement data from Scotland. , 2009, Journal of fish diseases.

[7]  D. Biro,et al.  Group decisions and individual differences: route fidelity predicts flight leadership in homing pigeons (Columba livia) , 2010, Biology Letters.

[8]  Richard James,et al.  Animal Social Networks , 2014 .

[9]  David W. Sims,et al.  Shark personalities? Repeatability of social network traits in a widely distributed predatory fish , 2014, Behavioral Ecology and Sociobiology.

[10]  Diansheng Guo,et al.  A graph-based approach to vehicle trajectory analysis , 2010, J. Locat. Based Serv..

[11]  Damien R. Farine,et al.  Inferring social structure from temporal data , 2015, Behavioral Ecology and Sociobiology.

[12]  Rory P. Wilson,et al.  Trends and perspectives in animal‐attached remote sensing , 2005 .

[13]  Timothy H. Keitt,et al.  LANDSCAPE CONNECTIVITY: A GRAPH‐THEORETIC PERSPECTIVE , 2001 .

[14]  Patrick J Butler,et al.  Biotelemetry: a mechanistic approach to ecology. , 2004, Trends in ecology & evolution.

[15]  Steven J. Cooke,et al.  Integrating network analysis, sensor tags, and observation to understand shark ecology and behavior , 2015 .

[16]  Enrique Frías-Martínez,et al.  Uncovering the spatial structure of mobility networks , 2015, Nature Communications.

[17]  Christian Rutz,et al.  Reality mining of animal social systems. , 2013, Trends in ecology & evolution.

[18]  Damien R. Farine,et al.  Developmental stress predicts social network position , 2014, Biology Letters.

[19]  Jan-Åke Nilsson,et al.  To boldly go: individual differences in boldness influence migratory tendency. , 2011, Ecology letters.

[20]  Jens Krause,et al.  Network position: a key component in the characterization of social personality types , 2012, Behavioral Ecology and Sociobiology.

[21]  A Cockburn,et al.  Individual personalities predict social behaviour in wild networks of great tits (Parus major). , 2013, Ecology letters.

[22]  Kilian M. Stehfest,et al.  Network analysis of acoustic tracking data reveals the structure and stability of fish aggregations in the ocean , 2013, Animal Behaviour.

[23]  Albert-László Barabási,et al.  Evolution of Networks: From Biological Nets to the Internet and WWW , 2004 .

[24]  Damien R. Farine,et al.  A contact-based social network of lizards is defined by low genetic relatedness among strongly connected individuals , 2014, Animal Behaviour.

[25]  A. Thornton,et al.  Experimentally induced innovations lead to persistent culture via conformity in wild birds , 2014, Nature.

[26]  Kristin Branson,et al.  JAABA: interactive machine learning for automatic annotation of animal behavior , 2013, Nature Methods.

[27]  Karen Radner,et al.  Application of an Entropy Maximizing and Dynamics Model for Understanding Settlement Structure: The Khabur Triangle in the Middle Bronze and Iron Ages , 2014 .

[28]  W. Hamilton,et al.  The Evolution of Cooperation , 1984 .

[29]  Todd R. Lookingbill,et al.  Combining a dispersal model with network theory to assess habitat connectivity. , 2010, Ecological applications : a publication of the Ecological Society of America.

[30]  J. Diamond.  GUNS, GERMS AND STEEL - A Short History of Everybody for the Last 13,000 Years , 1998 .

[31]  Steven R. Bishop,et al.  A mathematical model of the London riots and their policing , 2013, Scientific Reports.

[32]  Damien R. Farine,et al.  Constructing, conducting and interpreting animal social network analysis , 2015, The Journal of animal ecology.

[33]  Jari Saramäki,et al.  Temporal Networks , 2011, Encyclopedia of Social Network Analysis and Mining.

[34]  Damien R. Farine,et al.  The role of social and ecological processes in structuring animal populations: a case study from automated tracking of wild birds , 2015, Royal Society Open Science.

[35]  Colin A. Simpfendorfer,et al.  A comparison between traditional kernel-based methods and network analysis: an example from two nearshore shark species , 2015, Animal Behaviour.

[36]  M. Nöremark,et al.  Network analysis of cattle and pig movements in Sweden: measures relevant for disease control and risk based surveillance. , 2011, Preventive veterinary medicine.

[37]  Jennifer A. Miller.  Towards a Better Understanding of Dynamic Interaction Metrics for Wildlife: a Null Model Approach , 2015, Trans. GIS.

[38]  Luke Rendell,et al.  Network-Based Diffusion Analysis Reveals Cultural Transmission of Lobtail Feeding in Humpback Whales , 2013, Science.

[39]  Damien R. Farine,et al.  Animal social network inference and permutations for ecologists in R using asnipe , 2013 .

[40]  Michael T. Gastner,et al.  The complex network of global cargo ship movements , 2010, Journal of The Royal Society Interface.

[41]  David R. Bellwood,et al.  Herbivores in a small world: network theory highlights vulnerability in the function of herbivory on coral reefs , 2014 .

[42]  R. Kays,et al.  Terrestrial animal tracking as an eye on life and planet , 2015, Science.

[43]  Pietro Perona,et al.  Automated image-based tracking and its application in ecology. , 2014, Trends in ecology & evolution.

[44]  Brenda McCowan,et al.  Linking social and pathogen transmission networks using microbial genetics in giraffe (Giraffa camelopardalis). , 2014, The Journal of animal ecology.

[45]  Jordi Bascompte,et al.  The roosting spatial network of a bird-predator bat. , 2009, Ecology.

[46]  Stephen Hailes,et al.  A Significance Test for Inferring Affiliation Networks from Spatio-Temporal Data , 2015, PloS one.

[47]  M. Tamura,et al.  Network analysis of potential migration routes for Oriental White Storks (Ciconia boyciana) , 2004, Ecological Research.

[48]  M. Acevedo,et al.  Social network models predict movement and connectivity in ecological landscapes , 2011, Proceedings of the National Academy of Sciences.

[49]  L. Börger.  EDITORIAL: Stuck in motion? Reconnecting questions and tools in movement ecology. , 2016, The Journal of animal ecology.

[50]  Jacqueline L. Frair,et al.  Building the bridge between animal movement and population dynamics , 2010, Philosophical Transactions of the Royal Society B: Biological Sciences.

[51]  David L. Smith,et al.  Quantifying the Impact of Human Mobility on Malaria , 2012, Science.

[52]  Albert-László Barabási,et al.  Limits of Predictability in Human Mobility , 2010, Science.

[53]  Alistair J. Hobday,et al.  Automated acoustic tracking of aquatic animals: scales, design and deployment of listening station arrays , 2006 .

[54]  Maria A. Kazandjieva,et al.  A high-resolution human contact network for infectious disease transmission , 2010, Proceedings of the National Academy of Sciences.

[55]  Marie-Josée Fortin,et al.  From Graphs to Spatial Graphs , 2010 .

[56]  Nick M. Haddad,et al.  CORRIDOR AND DISTANCE EFFECTS ON INTERPATCH MOVEMENTS: A LANDSCAPE EXPERIMENT WITH BUTTERFLIES , 1999 .

[57]  D. Biro,et al.  Homing pigeons develop local route stereotypy , 2005, Proceedings of the Royal Society B: Biological Sciences.

[58]  Robin Cowan,et al.  Network Structure and the Diffusion of Knowledge , 2004 .

[59]  Iead Rezek,et al.  Inferring social network structure in ecological systems from spatio-temporal data streams , 2012, Journal of The Royal Society Interface.

[60]  Graeme D Ruxton,et al.  Interspecific information transfer influences animal community structure. , 2010, Trends in ecology & evolution.

[61]  Robin Freeman,et al.  A Dispersive Migration in the Atlantic Puffin and Its Implications for Migratory Navigation , 2011, PloS one.

[62]  Junho Choi,et al.  Comparing world city networks: a network analysis of Internet backbone and air transport intercity linkages , 2006 .

[63]  Jordi Bascompte,et al.  Spatial network structure and amphibian persistence in stochastic environments , 2006, Proceedings of the Royal Society B: Biological Sciences.

[64]  J. Kocik,et al.  Aquatic animal telemetry: A panoramic window into the underwater world , 2015, Science.

[65]  Eivind Heldaas Seland,et al.  Networks and social cohesion in ancient Indian Ocean trade: geography, ethnicity, religion , 2013, Journal of Global History.

[66]  Anthony J Richardson,et al.  Encounter success of free-ranging marine predator movements across a dynamic prey landscape , 2006, Proceedings of the Royal Society B: Biological Sciences.

[67]  William Hoppitt,et al.  Interspecific social networks promote information transmission in wild songbirds , 2015, Proceedings of the Royal Society B: Biological Sciences.

[68]  Christian Rutz,et al.  New frontiers in biologging science , 2009, Biology Letters.

[69]  Damien R Farine,et al.  Feeder use predicts both acquisition and transmission of a contagious pathogen in a North American songbird , 2015, Proceedings of the Royal Society B: Biological Sciences.

[70]  Randall K. Kosaki,et al.  Movements and foraging of predators associated with mesophotic coral reefs and their potential for linking ecological habitats , 2015 .

[71]  S. Carpenter,et al.  Global Consequences of Land Use , 2005, Science.

[72]  E. Fèvre,et al.  Animal movements and the spread of infectious diseases , 2006, Trends in Microbiology.

[73]  B. Voelkl,et al.  Consistent individual differences in the social phenotypes of wild great tits, Parus major , 2015, Animal Behaviour.

[74]  Mark Newman,et al.  Networks: An Introduction , 2010 .

[75]  A. Bohonak,et al.  Dispersal, Gene Flow, and Population Structure , 1999, The Quarterly Review of Biology.

[76]  C Dubé,et al.  Comparing network analysis measures to determine potential epidemic size of highly contagious exotic diseases in fragmented monthly networks of dairy cattle movements in Ontario, Canada. , 2008, Transboundary and emerging diseases.

[77]  A. Carling,et al.  Guns, Germs and Steel: A Short History of Everybody for the Last 13,000 Years , 2000 .

[78]  L. Danon,et al.  Individual identity and movement networks for disease metapopulations , 2010, Proceedings of the National Academy of Sciences.

[79]  Richard James,et al.  Temporal dynamics and network analysis , 2012 .

[80]  Edward J. Brooks,et al.  Developing a deeper understanding of animal movements and spatial dynamics through novel application of network analyses , 2012 .

[81]  T. Vicsek,et al.  Hierarchical group dynamics in pigeon flocks , 2010, Nature.

[82]  Tanya Y. Berger-Wolf,et al.  Social information improves location prediction in the wild , 2015, AAAI 2015.

[83]  Steven D. Prager,et al.  The dynamics of animal social networks: analytical, conceptual, and theoretical advances , 2014 .

[84]  Zbigniew Smoreda,et al.  Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data , 2011, PloS one.

[85]  M. Cardoso,et al.  Application of network theory to mark recapture data allows insights into population structure of two Heliconius species , 2015 .

[86]  J. Krause,et al.  Potential banana skins in animal social network analysis , 2009, Behavioral Ecology and Sociobiology.

[87]  John T. Finn,et al.  Applying network methods to acoustic telemetry data: Modeling the movements of tropical marine fishes , 2014 .

[88]  Stephanie S. Godfrey,et al.  Networks and the ecology of parasite transmission: A framework for wildlife parasitology , 2013, International journal for parasitology. Parasites and wildlife.

[89]  Toby A Patterson,et al.  Classifying movement behaviour in relation to environmental conditions using hidden Markov models. , 2009, The Journal of animal ecology.

[90]  Damien R. Farine,et al.  Measuring phenotypic assortment in animal social networks: weighted associations are more robust than binary edges , 2014, Animal Behaviour.

[91]  Anna Dornhaus,et al.  Time-Ordered Networks Reveal Limitations to Information Flow in Ant Colonies , 2011, PloS one.

[92]  Julian D Olden,et al.  Machine Learning Methods Without Tears: A Primer for Ecologists , 2008, The Quarterly Review of Biology.

[93]  J. Ewen,et al.  Reintroduction biology : integrating science and management , 2012 .

[94]  Kilian M. Stehfest,et al.  Markov models and network analysis reveal sex-specific differences in the space-use of a coastal apex predator , 2015 .

[95]  Elizabeth A. Hobson,et al.  An analytical framework for quantifying and testing patterns of temporal dynamics in social networks , 2013, Animal Behaviour.

[96]  Patrick C Phillips,et al.  Network thinking in ecology and evolution. , 2005, Trends in ecology & evolution.

[97]  Duncan J. Watts,et al.  Collective dynamics of ‘small-world’ networks , 1998, Nature.

[98]  Johann Mourier,et al.  Spatial behavior of two coral reef fishes within a Caribbean marine protected area. , 2015, Marine environmental research.

[99]  Jens Krause,et al.  The evolutionary and ecological consequences of animal social networks: emerging issues. , 2014, Trends in ecology & evolution.

[100]  Steven J. Cooke,et al.  Making connections in aquatic ecosystems with acoustic telemetry monitoring , 2014 .