State-Space Modelling of the Drivers of Movement Behaviour in Sympatric Species
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{"title"=>"State-space modelling of the drivers of movement behaviour in sympatric species", "type"=>"journal", "authors"=>[{"first_name"=>"F. J.", "last_name"=>"Pérez-Barbería", "scopus_author_id"=>"7003312099"}, {"first_name"=>"M.", "last_name"=>"Small", "scopus_author_id"=>"7201846419"}, {"first_name"=>"R. J.", "last_name"=>"Hooper", "scopus_author_id"=>"7103282308"}, {"first_name"=>"A.", "last_name"=>"Aldezabal", "scopus_author_id"=>"6507718632"}, {"first_name"=>"R.", "last_name"=>"Soriguer-Escofet", "scopus_author_id"=>"6603370710"}, {"first_name"=>"G. S.", "last_name"=>"Bakken", "scopus_author_id"=>"7003530259"}, {"first_name"=>"I. J.", "last_name"=>"Gordon", "scopus_author_id"=>"55515007100"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"scopus"=>"2-s2.0-84958074021", "sgr"=>"84958074021", "doi"=>"10.1371/journal.pone.0142707", "pui"=>"608121454", "pmid"=>"26580801", "issn"=>"19326203"}, "id"=>"96f28c87-8839-3d67-b288-f1b6982827ee", "abstract"=>"Understanding animal movement behaviour is key to furthering our knowledge on intra- and inter-specific competition, group cohesion, energy expenditure, habitat use, the spread of zoonotic diseases or species management.Weused a radial basis function surface approx- imation subject to minimum description length constraint to uncover the state-space dynam- ical systems from time series data. This approximation allowed us to infer structure from a mathematical model of the movement behaviour of sheep and red deer, and the effect of density, thermal stress and vegetation type. Animal movement was recorded using GPS collars deployed in sheep and deer grazing a large experimental plot in winter and summer. Information on the thermal stress to which animals were exposed was estimated using the power consumption of mechanical heated models and meteorological records of a network of stations in the plot. Thermal stress was higher in deer than in sheep, with less differences between species in summer. Deer travelled more distance than sheep, and both species travelled more in summer than in winter; deer travel distance showed less seasonal differ- ences than sheep. Animal movement was better predicted in deer than in sheep and in winter than in summer; both species showed a swarming behaviour in group cohesion, stronger in deer. At shorter separation distances swarming repulsion was stronger between species than within species. At longer separation distances inter-specific attraction was weaker than intra-specific; there was a positive density-dependent effect on swarming, and stronger in deer than in sheep. There was not clear evidence which species attracted or repelled the other; attraction between deer at long separation distances was stronger when themodel accounted for thermal stress, but in general the dynamic movement behaviour was hardly affected by the thermal stress. Vegetation type affected intra-species interac- tions but had little effect on inter-species interactions. Our modelling approach is useful in interpreting animal interactions, in order to unravel complex cooperative or competitive behaviours, and to the best of our knowledge is the first modelling attempt to make predictions of multi-species animal movement under different habitat mosaics and abiotic environmental conditions.", "link"=>"http://www.mendeley.com/research/statespace-modelling-drivers-movement-behaviour-sympatric-species", "reader_count"=>15, "reader_count_by_academic_status"=>{"Researcher"=>2, "Student > Ph. D. Student"=>4, "Student > Master"=>4, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_user_role"=>{"Researcher"=>2, "Student > Ph. D. Student"=>4, "Student > Master"=>4, "Student > Bachelor"=>1, "Lecturer"=>1, "Professor"=>2, "Unspecified"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>2, "Unspecified"=>2, "Environmental Science"=>2, "Mathematics"=>1, "Agricultural and Biological Sciences"=>7, "Medicine and Dentistry"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>2}, "Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>7}, "Mathematics"=>{"Mathematics"=>1}, "Unspecified"=>{"Unspecified"=>2}, "Environmental Science"=>{"Environmental Science"=>2}}, "reader_count_by_country"=>{"Brazil"=>1}, "group_count"=>1}

Scopus | Further Information

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2445243"], "description"=>"<p>Main plot: crosses mark the positions of the meteorological stations used to create the surfaces of meteorological variables. Inset (a) indicates the position of the experimental plot and the near-by facilities used in this study, the plot where the mechanical heated models were deployed (solid square) and the meteorological station of Birnie Hill (solid inverted triangle). Inset (b) grayscale three-dimensional image representation of the experimental plot (see <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142707#sec002\" target=\"_blank\">Methods</a> for more details).</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606659, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Experimental_plot_vegetation_types_and_situation_of_the_meteorological_stations_and_heated_mechanical_models_used_in_this_study_/1606659", "title"=>"Experimental plot, vegetation types and situation of the meteorological stations and heated mechanical models used in this study.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445244"], "description"=>"<p>The group of lines with higher values within species is the winter season.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606660, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g002", "stats"=>{"downloads"=>0, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Winter_and_summer_thermal_stress_in_different_vegetation_types_bracken_pink_dry_heath_yellow_grass_green_rushes_light_blue_wet_heath_blue_in_deer_a_and_sheep_b_across_a_sample_of_90_consecutive_hours_within_season_/1606660", "title"=>"Winter and summer thermal stress in different vegetation types (bracken: pink; dry heath: yellow; grass: green, rushes: light blue; wet heath: blue, in deer (a) and sheep (b) across a sample of 90 consecutive hours within season.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445245"], "description"=>"<p>Boxes are colour coded following labels of x-axis.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606661, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g003", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Predicted_daily_distance_travelled_by_sheep_sh_and_red_deer_d_in_summer_s_and_winter_w_of_the_mixed_linear_model_in_Table_1_/1606661", "title"=>"Predicted daily distance travelled by sheep (sh) and red deer (d) in summer (s) and winter (w) of the mixed linear model in Table 1.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445248"], "description"=>"<p>Significant levels after Bonferroni correction. Acronyms as in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142707#pone.0142707.g003\" target=\"_blank\">Fig 3</a>.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606664, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Pairwise_comparisons_between_the_predicted_daily_distances_travelled_by_sheep_and_red_deer_in_summer_and_winter_Fig_3_and_Table_1_/1606664", "title"=>"Pairwise comparisons between the predicted daily distances travelled by sheep and red deer in summer and winter (Fig 3 and Table 1).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445249"], "description"=>"<p>The plot reports systematic bias to those errors, which reflects an average global behaviour inferred from the data.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606665, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g005", "stats"=>{"downloads"=>2, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Monthly_predictability_root_mean_square_error_RMS_of_the_movement_in_sheep_and_red_deer_/1606665", "title"=>"Monthly predictability (root mean square error RMS) of the movement in sheep and red deer.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445250"], "description"=>"<p>For simplicity we only include the closest (red line) and the six closest (blue line) neighbours.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606666, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g006", "stats"=>{"downloads"=>10, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Computational_estimation_of_the_direction_and_strength_of_interaction_negative_values_is_attraction_positive_values_is_repulsion_of_an_animal_as_a_function_of_the_distance_to_its_target_neighbours_/1606666", "title"=>"Computational estimation of the direction and strength of interaction (negative values is attraction, positive values is repulsion) of an animal as a function of the distance to its target neighbours.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445251"], "description"=>"<p>For simplicity we included only interactions with the nearest neighbour.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606667, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g007", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_As_Fig_6_but_including_the_effect_of_vegetation_type_/1606667", "title"=>"As Fig 6 but including the effect of vegetation type.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445252"], "description"=>"<p>As <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0142707#pone.0142707.g006\" target=\"_blank\">Fig 6</a> but including and not including the effect of thermal stress in summer and winter.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606668, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.g008", "stats"=>{"downloads"=>2, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_As_Fig_6_but_including_and_not_including_the_effect_of_thermal_stress_in_summer_and_winter_/1606668", "title"=>"As Fig 6 but including and not including the effect of thermal stress in summer and winter.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445254"], "description"=>"<p>Reference levels are sheep and summer.</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606670, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.t001", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Coefficients_of_the_linear_mixed_effects_model_on_daily_distance_travelled_m_by_sheep_and_deer_in_summer_May_to_November_and_winter_December_and_January_to_April_and_variance_accounted_for_random_and_fixed_effects_/1606670", "title"=>"Coefficients of the linear mixed-effects model on daily distance travelled (m) by sheep and deer in summer (May to November) and winter (December and January to April) and variance accounted for random and fixed effects.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445255"], "description"=>"<p>Root mean square error (RMS). Model size is proportional to the number of parameters in the model fitted to the data. Minimum Description Length (MDL), is the metric used to select from among competing models (i.e. it is the length of the compression of the data one achieves by using the model). Number of observations (n), number of times one records a useable measurement of an animal of a given type and sufficient number of neighbours in the stated environment. The basic functions of the models were Gaussians, wavelets (of a particular type) or tophat (sharpened/flattened Gaussians).</p>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606671, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0142707.t002", "stats"=>{"downloads"=>3, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Parameters_of_the_models_for_sheep_and_red_deer_respectively_/1606671", "title"=>"Parameters of the models for sheep and red deer, respectively.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-11-18 03:21:05"}
  • {"files"=>["https://ndownloader.figshare.com/files/2445260", "https://ndownloader.figshare.com/files/2445261", "https://ndownloader.figshare.com/files/2445262", "https://ndownloader.figshare.com/files/2445263", "https://ndownloader.figshare.com/files/2445264", "https://ndownloader.figshare.com/files/2445265", "https://ndownloader.figshare.com/files/2445266"], "description"=>"<div><p>Understanding animal movement behaviour is key to furthering our knowledge on intra- and inter-specific competition, group cohesion, energy expenditure, habitat use, the spread of zoonotic diseases or species management. We used a radial basis function surface approximation subject to minimum description length constraint to uncover the state-space dynamical systems from time series data. This approximation allowed us to infer structure from a mathematical model of the movement behaviour of sheep and red deer, and the effect of density, thermal stress and vegetation type. Animal movement was recorded using GPS collars deployed in sheep and deer grazing a large experimental plot in winter and summer. Information on the thermal stress to which animals were exposed was estimated using the power consumption of mechanical heated models and meteorological records of a network of stations in the plot. Thermal stress was higher in deer than in sheep, with less differences between species in summer. Deer travelled more distance than sheep, and both species travelled more in summer than in winter; deer travel distance showed less seasonal differences than sheep. Animal movement was better predicted in deer than in sheep and in winter than in summer; both species showed a swarming behaviour in group cohesion, stronger in deer. At shorter separation distances swarming repulsion was stronger between species than within species. At longer separation distances inter-specific attraction was weaker than intra-specific; there was a positive density-dependent effect on swarming, and stronger in deer than in sheep. There was not clear evidence which species attracted or repelled the other; attraction between deer at long separation distances was stronger when the model accounted for thermal stress, but in general the dynamic movement behaviour was hardly affected by the thermal stress. Vegetation type affected intra-species interactions but had little effect on inter-species interactions. Our modelling approach is useful in interpreting animal interactions, in order to unravel complex cooperative or competitive behaviours, and to the best of our knowledge is the first modelling attempt to make predictions of multi-species animal movement under different habitat mosaics and abiotic environmental conditions.</p></div>", "links"=>[], "tags"=>["description length constraint", "gps", "time series data", "basis function surface approximation subject", "animal movement behaviour", "deer travel distance", "movement behaviour", "group cohesion", "separation distances", "animal movement", "species", "stress"], "article_id"=>1606676, "categories"=>["Biological Sciences", "Ecology"], "users"=>["F. J. Pérez-Barbería", "M. Small", "R. J. Hooper", "A. Aldezabal", "R. Soriguer-Escofet", "G. S. Bakken", "I. J. Gordon"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0142707.s001", "https://dx.doi.org/10.1371/journal.pone.0142707.s002", "https://dx.doi.org/10.1371/journal.pone.0142707.s003", "https://dx.doi.org/10.1371/journal.pone.0142707.s004", "https://dx.doi.org/10.1371/journal.pone.0142707.s005", "https://dx.doi.org/10.1371/journal.pone.0142707.s006", "https://dx.doi.org/10.1371/journal.pone.0142707.s007"], "stats"=>{"downloads"=>8, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_State_Space_Modelling_of_the_Drivers_of_Movement_Behaviour_in_Sympatric_Species_/1606676", "title"=>"State-Space Modelling of the Drivers of Movement Behaviour in Sympatric Species", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-11-18 03:21:05"}

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{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
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