A Method for Quantifying Consistency in Animal Distributions Using Survey Data
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{"title"=>"A Method for Quantifying Consistency in Animal Distributions Using Survey Data", "type"=>"journal", "authors"=>[{"first_name"=>"Joel P.", "last_name"=>"Heath", "scopus_author_id"=>"7201646228"}, {"first_name"=>"William A.", "last_name"=>"Montevecchi", "scopus_author_id"=>"7003782139"}, {"first_name"=>"Daniel", "last_name"=>"Esler", "scopus_author_id"=>"7003297918"}], "year"=>2012, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "scopus"=>"2-s2.0-84866039033", "pui"=>"365608766", "doi"=>"10.1371/journal.pone.0044353", "sgr"=>"84866039033", "pmid"=>"22957067"}, "id"=>"a069d15a-5f56-357a-a3cd-a476fb7cafa1", "abstract"=>"The degree of consistency with which groups of animals use the landscape is determined by a variety of ecological processes that influence their movements and patterns of habitat use. We developed a technique termed Distributional Consistency that uses survey data of unmarked individuals to quantify temporal consistency in their spatial distribution, while accounting for changes in population size. Distributional consistency is quantified by comparing the observed distribution patterns to all theoretically possible distribution patterns of observed individuals, leading to a proportional score between 0 and 1, reflecting increasingly consistent use of sites within a region. The technique can be applied to survey data for any taxa across a range of spatial and temporal scales. We suggest ways in which distributional consistency could provide inferences about the dispersal and habitat decisions of individuals, and the scales at which these decisions operate. Distributional consistency integrates spatial and temporal processes to quantify an important characteristic of different habitats and their use by populations, which in turn will be particularly useful in complimenting and interpreting other ecological measures such as population density and stability. The technique can be applied to many existing data sets to investigate and evaluate a range of important ecological questions using simple survey data.", "link"=>"http://www.mendeley.com/research/method-quantifying-consistency-animal-distributions-using-survey-data-2", "reader_count"=>19, "reader_count_by_academic_status"=>{"Researcher"=>10, "Student > Ph. D. Student"=>1, "Other"=>3, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_user_role"=>{"Researcher"=>10, "Student > Ph. D. Student"=>1, "Other"=>3, "Student > Bachelor"=>3, "Professor"=>2}, "reader_count_by_subject_area"=>{"Environmental Science"=>3, "Agricultural and Biological Sciences"=>14, "Computer Science"=>1, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>14}, "Computer Science"=>{"Computer Science"=>1}, "Environmental Science"=>{"Environmental Science"=>3}}, "reader_count_by_country"=>{"United States"=>2, "Luxembourg"=>1, "Finland"=>1, "Brazil"=>1, "Spain"=>1}, "group_count"=>0}

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Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/581822"], "description"=>"<p>For situations where groups of individuals can occupy sites (A), simulations of survey error indicate that distributional consistency DC scores will be influenced by less than 5%, even up to survey error rates of 80%. For territorial species presence/absence data (B), the degree of survey error affects measurement of DC, however this influence is highly predictable and can therefore be easily corrected for. Error bars are standard deviations.</p>", "links"=>[], "tags"=>["measures", "distributional"], "article_id"=>252321, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.g002", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_The_influence_of_survey_error_on_measures_of_distributional_consistency_/252321", "title"=>"The influence of survey error on measures of distributional consistency.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-09-05 00:38:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/307044"], "description"=>"<div><p>The degree of consistency with which groups of animals use the landscape is determined by a variety of ecological processes that influence their movements and patterns of habitat use. We developed a technique termed <em>Distributional Consistency</em> that uses survey data of unmarked individuals to quantify temporal consistency in their spatial distribution, while accounting for changes in population size. Distributional consistency is quantified by comparing the observed distribution patterns to all theoretically possible distribution patterns of observed individuals, leading to a proportional score between 0 and 1, reflecting increasingly consistent use of sites within a region. The technique can be applied to survey data for any taxa across a range of spatial and temporal scales. We suggest ways in which distributional consistency could provide inferences about the dispersal and habitat decisions of individuals, and the scales at which these decisions operate. Distributional consistency integrates spatial and temporal processes to quantify an important characteristic of different habitats and their use by populations, which in turn will be particularly useful in complimenting and interpreting other ecological measures such as population density and stability. The technique can be applied to many existing data sets to investigate and evaluate a range of important ecological questions using simple survey data.</p> </div>", "links"=>[], "tags"=>["quantifying", "consistency", "distributions"], "article_id"=>120581, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353", "stats"=>{"downloads"=>2, "page_views"=>10, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/A_Method_for_Quantifying_Consistency_in_Animal_Distributions_Using_Survey_Data/120581", "title"=>"A Method for Quantifying Consistency in Animal Distributions Using Survey Data", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-05 00:09:41"}
  • {"files"=>["https://ndownloader.figshare.com/files/582054"], "description"=>"<p>Grey columns correspond to equations presented in the text, while columns to their left correspond with the associated calculations.</p>", "links"=>[], "tags"=>["distributional", "consistency", "parameters"], "article_id"=>252551, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.t004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Example_calculation_of_distributional_consistency_DC_using_the_parameters_from_the_example_data_in_Table_1_/252551", "title"=>"Example calculation of distributional consistency (<i>DC</i>) using the parameters from the example data in Table 1.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-05 00:42:31"}
  • {"files"=>["https://ndownloader.figshare.com/files/582028"], "description"=>"<p>As per <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0044353#pone-0044353-t001\" target=\"_blank\">Table 1</a>, population size in each time step is the sum of each row. Below the main table, the column sums and a summary of the number of instances consistency was observed at each level, k are presented for each site to illustrate how distributional consistency <i>DC</i> is calculated.</p>", "links"=>[], "tags"=>["matrix", "individuals", "groups"], "article_id"=>252521, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.t005", "stats"=>{"downloads"=>1, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hypothetical_survey_matrix_of_the_number_of_individuals_at_each_site_in_each_time_step_for_a_situation_where_groups_of_individuals_can_occupy_a_site_/252521", "title"=>"Hypothetical survey matrix of the number of individuals at each site, in each time step for a situation where groups of individuals can occupy a site.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-05 00:42:01"}
  • {"files"=>["https://ndownloader.figshare.com/files/582124"], "description"=>"<p>Distributional consistency DC is therefore be 1 and 0 for each of these populations, respectively.</p>", "links"=>[], "tags"=>["matrices", "illustrating", "inconsistent", "individuals", "16", "sites"], "article_id"=>252619, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.t002", "stats"=>{"downloads"=>0, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Hypothetical_survey_matrices_illustrating_a_completely_consistent_and_completely_inconsistent_distribution_of_4_individuals_among_16_sites_over_4_years_/252619", "title"=>"Hypothetical survey matrices illustrating a completely consistent, and completely inconsistent distribution of 4 individuals among 16 sites over 4 years.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-05 00:43:39"}
  • {"files"=>["https://ndownloader.figshare.com/files/582104"], "description"=>"<p>‘Years’ is used as a generic time step throughout the text for ease of discussion.</p>", "links"=>[], "tags"=>["presented", "distributional"], "article_id"=>252598, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.t003", "stats"=>{"downloads"=>1, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Definition_of_terms_presented_in_calculating_the_index_of_distributional_consistency_/252598", "title"=>"Definition of terms presented in calculating the index of distributional consistency.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-05 00:43:18"}
  • {"files"=>["https://ndownloader.figshare.com/files/581685"], "description"=>"<p>Changing the scale of (A) a site or (B) the region can influence observed distributional consistency patterns (C and D, respectively). Increases in spatial scale follow a gradient from darker to lighter squares. As the spatial scale of a site (grain) approaches that of a region (extent - C), distributional consistency will approach a value of 1. When the scale or extent of the region is extended (D) to include more sites, distributional consistency could reach an asymptotic value describing consistency of the distribution across the species’ range. In both scenarios, the shape of the spatial scale versus distributional consistency curve will be the feature of interest for evaluating the scales of movement relevant to the species and question being considered.</p>", "links"=>[], "tags"=>["spatial", "distributional"], "article_id"=>252183, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.g001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Schematic_representation_of_the_effects_of_changing_the_spatial_scale_on_Distributional_Consistency_/252183", "title"=>"Schematic representation of the effects of changing the spatial scale on Distributional Consistency.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-09-05 00:36:23"}
  • {"files"=>["https://ndownloader.figshare.com/files/581984"], "description"=>"<p>This indicates <i>DC</i> provides a useful estimate of dispersal rates from basic survey data of unmarked individuals.</p>", "links"=>[], "tags"=>["tracking", "dispersal", "simulations", "illustrating", "decisions", "consistency", "bars"], "article_id"=>252440, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.g003", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Results_of_tracking_individual_dispersal_in_simulations_as_described_in_the_text_illustrating_a_strong_relationship_between_individual_dispersal_decisions_and_consistency_in_the_regional_distribution_DC_error_bars_are_standard_deviations_/252440", "title"=>"Results of tracking individual dispersal in simulations as described in the text, illustrating a strong relationship between individual dispersal decisions and consistency in the regional distribution <i>DC</i> (error bars are standard deviations).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2012-09-05 00:40:40"}
  • {"files"=>["https://ndownloader.figshare.com/files/582084"], "description"=>"<p>Population size in each year is the sum of each row. Below the main table, the column sums and a summary of the number of instances a site was used to a given level of consistency (<b><i>k</i></b>) are presented, as described in the text.</p>", "links"=>[], "tags"=>["matrix", "individuals", "territorial"], "article_id"=>252570, "categories"=>["Mathematics"], "users"=>["Joel P. Heath", "William A. Montevecchi", "Daniel Esler"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0044353.t001", "stats"=>{"downloads"=>1, "page_views"=>4, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Survey_matrix_of_the_number_of_individuals_at_each_site_in_each_time_step_for_a_territorial_species_used_in_the_example_calculation_in_the_text_/252570", "title"=>"Survey matrix of the number of individuals at each site in each time step for a territorial species, used in the example calculation in the text.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2012-09-05 00:42:50"}

PMC Usage Stats | Further Information

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  • {"unique-ip"=>"1", "full-text"=>"1", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
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Relative Metric

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