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{"title"=>"Context dependent effect of landscape on the occurrence of an apex predator across different climate regions", "type"=>"journal", "authors"=>[{"first_name"=>"Go", "last_name"=>"Fujita", "scopus_author_id"=>"7004395365"}, {"first_name"=>"Atsuki", "last_name"=>"Azuma", "scopus_author_id"=>"7101612436"}, {"first_name"=>"Jun", "last_name"=>"Nonaka", "scopus_author_id"=>"57092621100"}, {"first_name"=>"Yoshiaki", "last_name"=>"Sakai", "scopus_author_id"=>"57189098125"}, {"first_name"=>"Hatsumi", "last_name"=>"Sakai", "scopus_author_id"=>"57189089973"}, {"first_name"=>"Fumitaka", "last_name"=>"Iseki", "scopus_author_id"=>"57189091064"}, {"first_name"=>"Hiroo", "last_name"=>"Itaya", "scopus_author_id"=>"57189090266"}, {"first_name"=>"Keita", "last_name"=>"Fukasawa", "scopus_author_id"=>"55271956500"}, {"first_name"=>"Tadashi", "last_name"=>"Miyashita", "scopus_author_id"=>"7201920714"}], "year"=>2016, "source"=>"PLoS ONE", "identifiers"=>{"issn"=>"19326203", "sgr"=>"84965101648", "doi"=>"10.1371/journal.pone.0153722", "pmid"=>"27123930", "scopus"=>"2-s2.0-84965101648", "pui"=>"610177533"}, "id"=>"6a75f0f7-78a9-3bc0-96b0-145a2a769e6e", "abstract"=>"In studies of habitat suitability at landscape scales, transferability of species-landscape associations among sites are likely to be critical because it is often impractical to collect datasets across various regions. However, limiting factors, such as prey availability, are not likely to be constant across scales because of the differences in species pools. This is particularly true for top predators that are often the target for conservation concern. Here we focus on gray-faced buzzards, apex predators of farmland-dominated landscapes in East Asia. We investigated context dependency of \"buzzard-landscape relationship\", using nest location datasets from five sites, each differing in landscape composition. Based on the similarities of prey items and landscape compositions across the sites, we determined several alternative ways of grouping the sites, and then examined whether buzzard-landscape relationship change among groups, which was conducted separately for each way of grouping. As a result, the model of study-sites grouping based on similarities in prey items showed the smallest DeltaAICc. Because the terms of interaction between group IDs and areas of broad-leaved forests and grasslands were selected, buzzard-landscape relationship showed a context dependency, i.e., these two landscape elements strengthen the relationship in southern region. The difference in prey fauna, which is associated with the difference in climate, might generate regional differences in the buzzard-landscape associations.", "link"=>"http://www.mendeley.com/research/context-dependent-effect-landscape-occurrence-apex-predator-across-different-climate-regions", "reader_count"=>9, "reader_count_by_academic_status"=>{"Researcher"=>2, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>2, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Researcher"=>2, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>2, "Student > Master"=>2, "Student > Bachelor"=>1, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Environmental Science"=>4, "Biochemistry, Genetics and Molecular Biology"=>1, "Agricultural and Biological Sciences"=>2, "Social Sciences"=>1, "Unspecified"=>1}, "reader_count_by_subdiscipline"=>{"Social Sciences"=>{"Social Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>2}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>1}, "Environmental Science"=>{"Environmental Science"=>4}, "Unspecified"=>{"Unspecified"=>1}}, "group_count"=>1}

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• http://doi.org/10.3838/jjo.66.145
• http://doi.org/10.1007/s10980-020-01005-9

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• {"id"=>"725780404695769088", "text"=>"Context Dependent Effect of Landscape on the Occurrence of an Apex Predator across Different Climate… https://t.co/hblLy9m3hN @PLOSONE @PLOS", "created_at"=>"2016-04-28T20:15:07Z", "user"=>"BehavEcolPapers", "user_name"=>"BehavEcolPapers", "user_profile_image"=>"http://pbs.twimg.com/profile_images/517345050670268416/beckzx8T_normal.jpeg"}
• {"id"=>"725806387024912385", "text"=>"Publication: Context dependent effect of landscape on an apex predator across different climate regions #PLOSONE https://t.co/jFvwIhcfX5", "created_at"=>"2016-04-28T21:58:22Z", "user"=>"gofujita", "user_name"=>"Go Fujita", "user_profile_image"=>"http://pbs.twimg.com/profile_images/1383854172/fly_normal.jpg"}

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Figshare

• {"files"=>["https://ndownloader.figshare.com/files/5047672"], "description"=>"<p>Solid lines show inferred relationships. Dotted, dashed, and chain lines represent 95% confidence intervals for the relationships in southern, central, and northern regions, respectively. Open circles are observed values.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3216001, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.g005", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Relationships_between_buzzard_occurrence_and_landscape_elements_forest-edge_broad-leaved_forests_and_grasslands_in_1_km_x_1_km_cells_inferred_by_the_selected_models_for_the_three_geographical-regions_hypothesis_/3216001", "title"=>"Relationships between buzzard occurrence and landscape elements (forest-edge, broad-leaved forests, and grasslands) in 1 km x 1 km cells inferred by the selected models for the three geographical-regions hypothesis.", "pos_in_sequence"=>6, "defined_type"=>1, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047642"], "description"=>"<p>Null model of 5-regional groups means all different study sites were different each other. Null model of 1-group means there was no difference among study sites.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3215971, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.g004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Values_of_AICc_for_the_best_models_on_hypothetical_regional_groups_according_to_prey_item_or_landscape_similarities_/3215971", "title"=>"Values of AICc for the best models on hypothetical regional groups according to prey item or landscape similarities.", "pos_in_sequence"=>5, "defined_type"=>1, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047579"], "description"=>"<p>Because there was no observation for prey items in Chiba, the indices on prey items were calculated between only four study sites.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3215929, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Jaccard_similarity_coefficient_based_on_prey_items_and_landscapes_between_study_sites_/3215929", "title"=>"Jaccard similarity coefficient based on prey items and landscapes between study sites.", "pos_in_sequence"=>3, "defined_type"=>1, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047888"], "description"=>"<p>Selected models for single regional-group.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3216166, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.t006", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Selected_models_for_single_regional-group_/3216166", "title"=>"Selected models for single regional-group.", "pos_in_sequence"=>12, "defined_type"=>3, "published_date"=>"2016-04-28 08:50:33"}
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• {"files"=>["https://ndownloader.figshare.com/files/5047831"], "description"=>"<p>Selected models for 3 regional-groups based on landscape similarity (Aichi, Fukuoka-Chiba and Tochigi-Iwate) to explain relationships between buzzard occurrence and landscape elements.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3216109, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.t004", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Selected_models_for_3_regional-groups_based_on_landscape_similarity_Aichi_Fukuoka-Chiba_and_Tochigi-Iwate_to_explain_relationships_between_buzzard_occurrence_and_landscape_elements_/3216109", "title"=>"Selected models for 3 regional-groups based on landscape similarity (Aichi, Fukuoka-Chiba and Tochigi-Iwate) to explain relationships between buzzard occurrence and landscape elements.", "pos_in_sequence"=>10, "defined_type"=>3, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047615"], "description"=>"<p>Schematic diagram representing six hypotheses to stratify five study-sites based on prey-item similarities (a, b), landscape-composition similarities (c, d), and others (e, f). <b>a:</b> 3 regional groups hypothesis based on prey item similarities, <b>b:</b> 2 regional group hypothesis based on prey item similarities, <b>c:</b> 3 regional group hypothesis based on landscape similarities, <b>d:</b> 2 regional group hypothesis based on landscape similarities, <b>e:</b> 5 regional group hypothesis, <b>f:</b> single regional group hypothesis.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3215953, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.g003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Context_Dependent_Effect_of_Landscape_on_the_Occurrence_of_an_Apex_Predator_across_Different_Climate_Regions_-_Fig_3/3215953", "title"=>"Context Dependent Effect of Landscape on the Occurrence of an Apex Predator across Different Climate Regions - Fig 3", "pos_in_sequence"=>4, "defined_type"=>1, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047789"], "description"=>"<p>Selected models for 2 regional groups based on prey-item similarity (southern and others) to explain relationships between buzzard occurrence and landscape elements.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3216082, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.t003", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Selected_models_for_2_regional_groups_based_on_prey-item_similarity_southern_and_others_to_explain_relationships_between_buzzard_occurrence_and_landscape_elements_/3216082", "title"=>"Selected models for 2 regional groups based on prey-item similarity (southern and others) to explain relationships between buzzard occurrence and landscape elements.", "pos_in_sequence"=>9, "defined_type"=>3, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047489", "https://ndownloader.figshare.com/files/5047498", "https://ndownloader.figshare.com/files/5047507", "https://ndownloader.figshare.com/files/5047510", "https://ndownloader.figshare.com/files/5047516", "https://ndownloader.figshare.com/files/5047522"], "description"=>"<div><p>In studies of habitat suitability at landscape scales, transferability of species-landscape associations among sites are likely to be critical because it is often impractical to collect datasets across various regions. However, limiting factors, such as prey availability, are not likely to be constant across scales because of the differences in species pools. This is particularly true for top predators that are often the target for conservation concern. Here we focus on gray-faced buzzards, apex predators of farmland-dominated landscapes in East Asia. We investigated context dependency of “buzzard-landscape relationship”, using nest location datasets from five sites, each differing in landscape composition. Based on the similarities of prey items and landscape compositions across the sites, we determined several alternative ways of grouping the sites, and then examined whether buzzard-landscape relationship change among groups, which was conducted separately for each way of grouping. As a result, the model of study-sites grouping based on similarities in prey items showed the smallest ΔAICc. Because the terms of interaction between group IDs and areas of broad-leaved forests and grasslands were selected, buzzard-landscape relationship showed a context dependency, i.e., these two landscape elements strengthen the relationship in southern region. The difference in prey fauna, which is associated with the difference in climate, might generate regional differences in the buzzard-landscape associations.</p></div>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3215860, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0153722.s001", "https://dx.doi.org/10.1371/journal.pone.0153722.s002", "https://dx.doi.org/10.1371/journal.pone.0153722.s003", "https://dx.doi.org/10.1371/journal.pone.0153722.s004", "https://dx.doi.org/10.1371/journal.pone.0153722.s005", "https://dx.doi.org/10.1371/journal.pone.0153722.s006"], "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Context_Dependent_Effect_of_Landscape_on_the_Occurrence_of_an_Apex_Predator_across_Different_Climate_Regions/3215860", "title"=>"Context Dependent Effect of Landscape on the Occurrence of an Apex Predator across Different Climate Regions", "pos_in_sequence"=>1, "defined_type"=>4, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047705"], "description"=>"<p>Selected models for 3 regional groups based on prey-item similarity (southern, central and northern) to explain relationships between buzzard occurrence and landscape elements.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3216025, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Selected_models_for_3_regional_groups_based_on_prey-item_similarity_southern_central_and_northern_to_explain_relationships_between_buzzard_occurrence_and_landscape_elements_/3216025", "title"=>"Selected models for 3 regional groups based on prey-item similarity (southern, central and northern) to explain relationships between buzzard occurrence and landscape elements.", "pos_in_sequence"=>7, "defined_type"=>3, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047756"], "description"=>"<p>Selected models for 5 regional groups to explain relationships between buzzard occurrence and landscape elements.</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3216052, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Selected_models_for_5_regional_groups_to_explain_relationships_between_buzzard_occurrence_and_landscape_elements_/3216052", "title"=>"Selected models for 5 regional groups to explain relationships between buzzard occurrence and landscape elements.", "pos_in_sequence"=>8, "defined_type"=>3, "published_date"=>"2016-04-28 08:50:33"}
• {"files"=>["https://ndownloader.figshare.com/files/5047546"], "description"=>"<p>Average temperatures (°C) in May of 2010 are shown. We draw the map based on a map provided by Japanese Meteorological Agency [<a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0153722#pone.0153722.ref025\" target=\"_blank\">25</a>].</p>", "links"=>[], "tags"=>["similarity", "Different Climate Regions", "predator", "association", "grouping", "context dependency", "region", "landscape", "relationship", "Context Dependent Effect", "nest location datasets", "site", "prey items"], "article_id"=>3215902, "categories"=>["Evolutionary Biology", "Environmental Sciences not elsewhere classified", "Ecology", "Biological Sciences not elsewhere classified", "Science Policy"], "users"=>["Go Fujita", "Atsuki Azuma", "Jun Nonaka", "Yoshiaki Sakai", "Hatsumi Sakai", "Fumitaka Iseki", "Hiroo Itaya", "Keita Fukasawa", "Tadashi Miyashita"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0153722.g001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Locations_of_five_study-sites_/3215902", "title"=>"Locations of five study-sites.", "pos_in_sequence"=>2, "defined_type"=>1, "published_date"=>"2016-04-28 08:50:33"}

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Relative Metric

{"start_date"=>"2016-01-01T00:00:00Z", "end_date"=>"2016-12-31T00:00:00Z", "subject_areas"=>[]}

F1000Prime