Testing the Effectiveness of Environmental Variables to Explain European Terrestrial Vertebrate Species Richness across Biogeographical Scales
Events
Loading … Spinner

Mendeley | Further Information

{"title"=>"Testing the effectiveness of environmental variables to explain European terrestrial vertebrate species richness across biogeographical scales", "type"=>"journal", "authors"=>[{"first_name"=>"Maud", "last_name"=>"Mouchet", "scopus_author_id"=>"56366255900"}, {"first_name"=>"Christian", "last_name"=>"Levers", "scopus_author_id"=>"56968998700"}, {"first_name"=>"Laure", "last_name"=>"Zupan", "scopus_author_id"=>"55366890700"}, {"first_name"=>"Tobias", "last_name"=>"Kuemmerle", "scopus_author_id"=>"8293489400"}, {"first_name"=>"Christoph", "last_name"=>"Plutzar", "scopus_author_id"=>"6506917545"}, {"first_name"=>"Karlheinz", "last_name"=>"Erb", "scopus_author_id"=>"7007026767"}, {"first_name"=>"Sandra", "last_name"=>"Lavorel", "scopus_author_id"=>"7003422919"}, {"first_name"=>"Wilfried", "last_name"=>"Thuiller", "scopus_author_id"=>"6602123683"}, {"first_name"=>"Helmut", "last_name"=>"Haberl", "scopus_author_id"=>"7004619776"}], "year"=>2015, "source"=>"PLoS ONE", "identifiers"=>{"pui"=>"605952113", "sgr"=>"84941349529", "issn"=>"19326203", "pmid"=>"26161981", "scopus"=>"2-s2.0-84941349529", "doi"=>"10.1371/journal.pone.0131924", "isbn"=>"19326203 (ISSN)"}, "id"=>"bc2712c4-bee3-30ee-bd6f-0d26d3348cea", "abstract"=>"We compared the effectiveness of environmental variables, and in particular of land-use indicators, to explain species richness patterns across taxonomic groups and biogeographical scales (i.e. overall pan-Europe and ecoregions within pan-Europe). Using boosted regression trees that handle non-linear relationships, we compared the relative influence (as a measure of effectiveness) of environmental variables related to climate, landscape (or habitat heterogeneity), land-use intensity or energy availability to explain European vertebrate species richness (birds, amphibians, and mammals) at the continental and ecoregion scales. We found that dominant land cover and actual evapotranspiration that relate to energy availability were the main correlates of vertebrate species richness over Europe. At the ecoregion scale, we identified four distinct groups of ecoregions where species richness was essentially associated to (i) seasonality of temperature, (ii) actual evapotranspiration and/or mean annual temperature, (iii) seasonality of precipitation, actual evapotranspiration and land cover) and (iv) and an even combination of the environmental variables. This typology of ecoregions remained valid for total vertebrate richness and the three vertebrate groups taken separately. Despite the overwhelming influence of land cover and actual evapotranspiration to explain vertebrate species richness patterns at European scale, the ranking of the main correlates of species richness varied between regions. Interestingly, landscape and land-use indicators did not stand out at the continental scale but their influence greatly increased in southern ecoregions, revealing the long-lasting human footprint on land-use-land-cover changes. Our study provides one of the first multi-scale descriptions of the variability in the ranking of correlates across several taxa.", "link"=>"http://www.mendeley.com/research/testing-effectiveness-environmental-variables-explain-european-terrestrial-vertebrate-species-richne", "reader_count"=>67, "reader_count_by_academic_status"=>{"Unspecified"=>3, "Student > Doctoral Student"=>4, "Researcher"=>18, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>3, "Student > Bachelor"=>8, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Unspecified"=>3, "Student > Doctoral Student"=>4, "Researcher"=>18, "Student > Ph. D. Student"=>17, "Student > Postgraduate"=>2, "Student > Master"=>11, "Other"=>3, "Student > Bachelor"=>8, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Unspecified"=>6, "Environmental Science"=>22, "Biochemistry, Genetics and Molecular Biology"=>2, "Agricultural and Biological Sciences"=>34, "Medicine and Dentistry"=>1, "Social Sciences"=>1, "Immunology and Microbiology"=>1}, "reader_count_by_subdiscipline"=>{"Medicine and Dentistry"=>{"Medicine and Dentistry"=>1}, "Social Sciences"=>{"Social Sciences"=>1}, "Immunology and Microbiology"=>{"Immunology and Microbiology"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>34}, "Biochemistry, Genetics and Molecular Biology"=>{"Biochemistry, Genetics and Molecular Biology"=>2}, "Unspecified"=>{"Unspecified"=>6}, "Environmental Science"=>{"Environmental Science"=>22}}, "reader_count_by_country"=>{"United States"=>3, "Finland"=>1, "Denmark"=>1, "United Kingdom"=>1, "Portugal"=>1, "Germany"=>1, "Croatia"=>1, "Spain"=>1}, "group_count"=>3}

Scopus | Further Information

{"@_fa"=>"true", "link"=>[{"@_fa"=>"true", "@ref"=>"self", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84941349529"}, {"@_fa"=>"true", "@ref"=>"author-affiliation", "@href"=>"https://api.elsevier.com/content/abstract/scopus_id/84941349529?field=author,affiliation"}, {"@_fa"=>"true", "@ref"=>"scopus", "@href"=>"https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84941349529&origin=inward"}, {"@_fa"=>"true", "@ref"=>"scopus-citedby", "@href"=>"https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=84941349529&origin=inward"}], "prism:url"=>"https://api.elsevier.com/content/abstract/scopus_id/84941349529", "dc:identifier"=>"SCOPUS_ID:84941349529", "eid"=>"2-s2.0-84941349529", "dc:title"=>"Testing the effectiveness of environmental variables to explain European terrestrial vertebrate species richness across biogeographical scales", "dc:creator"=>"Mouchet M.", "prism:publicationName"=>"PLoS ONE", "prism:eIssn"=>"19326203", "prism:volume"=>"10", "prism:issueIdentifier"=>"7", "prism:pageRange"=>nil, "prism:coverDate"=>"2015-07-10", "prism:coverDisplayDate"=>"10 July 2015", "prism:doi"=>"10.1371/journal.pone.0131924", "citedby-count"=>"5", "affiliation"=>[{"@_fa"=>"true", "affilname"=>"Universite Grenoble Alpes", "affiliation-city"=>"Saint Martin d'Heres", "affiliation-country"=>"France"}, {"@_fa"=>"true", "affilname"=>"Museum National d'Histoire Naturelle", "affiliation-city"=>"Paris", "affiliation-country"=>"France"}, {"@_fa"=>"true", "affilname"=>"CNRS Centre National de la Recherche Scientifique", "affiliation-city"=>"Paris", "affiliation-country"=>"France"}], "pubmed-id"=>"26161981", "prism:aggregationType"=>"Journal", "subtype"=>"ar", "subtypeDescription"=>"Article", "article-number"=>"e0131924", "source-id"=>"10600153309", "openaccess"=>"1", "openaccessFlag"=>true}

Facebook

  • {"url"=>"http%3A%2F%2Fjournals.plos.org%2Fplosone%2Farticle%3Fid%3D10.1371%252Fjournal.pone.0131924", "share_count"=>0, "like_count"=>0, "comment_count"=>0, "click_count"=>0, "total_count"=>0}

Counter

  • {"month"=>"7", "year"=>"2015", "pdf_views"=>"72", "xml_views"=>"6", "html_views"=>"308"}
  • {"month"=>"8", "year"=>"2015", "pdf_views"=>"28", "xml_views"=>"0", "html_views"=>"85"}
  • {"month"=>"9", "year"=>"2015", "pdf_views"=>"27", "xml_views"=>"1", "html_views"=>"66"}
  • {"month"=>"10", "year"=>"2015", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"36"}
  • {"month"=>"11", "year"=>"2015", "pdf_views"=>"19", "xml_views"=>"0", "html_views"=>"50"}
  • {"month"=>"12", "year"=>"2015", "pdf_views"=>"19", "xml_views"=>"1", "html_views"=>"43"}
  • {"month"=>"1", "year"=>"2016", "pdf_views"=>"17", "xml_views"=>"0", "html_views"=>"59"}
  • {"month"=>"2", "year"=>"2016", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"3", "year"=>"2016", "pdf_views"=>"23", "xml_views"=>"1", "html_views"=>"70"}
  • {"month"=>"4", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"40"}
  • {"month"=>"5", "year"=>"2016", "pdf_views"=>"11", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"6", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"7", "year"=>"2016", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"28"}
  • {"month"=>"8", "year"=>"2016", "pdf_views"=>"17", "xml_views"=>"0", "html_views"=>"37"}
  • {"month"=>"9", "year"=>"2016", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"52"}
  • {"month"=>"10", "year"=>"2016", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"49"}
  • {"month"=>"11", "year"=>"2016", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"43"}
  • {"month"=>"12", "year"=>"2016", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"35"}
  • {"month"=>"1", "year"=>"2017", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"49"}
  • {"month"=>"2", "year"=>"2017", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"47"}
  • {"month"=>"3", "year"=>"2017", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"48"}
  • {"month"=>"4", "year"=>"2017", "pdf_views"=>"15", "xml_views"=>"0", "html_views"=>"47"}
  • {"month"=>"5", "year"=>"2017", "pdf_views"=>"7", "xml_views"=>"1", "html_views"=>"57"}
  • {"month"=>"6", "year"=>"2017", "pdf_views"=>"8", "xml_views"=>"0", "html_views"=>"50"}
  • {"month"=>"7", "year"=>"2017", "pdf_views"=>"8", "xml_views"=>"1", "html_views"=>"38"}
  • {"month"=>"8", "year"=>"2017", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"33"}
  • {"month"=>"9", "year"=>"2017", "pdf_views"=>"32", "xml_views"=>"2", "html_views"=>"48"}
  • {"month"=>"10", "year"=>"2017", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"61"}
  • {"month"=>"11", "year"=>"2017", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"67"}
  • {"month"=>"12", "year"=>"2017", "pdf_views"=>"3", "xml_views"=>"1", "html_views"=>"24"}
  • {"month"=>"1", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"0", "html_views"=>"33"}
  • {"month"=>"2", "year"=>"2018", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"19"}
  • {"month"=>"3", "year"=>"2018", "pdf_views"=>"3", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"4", "year"=>"2018", "pdf_views"=>"3", "xml_views"=>"1", "html_views"=>"27"}
  • {"month"=>"5", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"1", "html_views"=>"26"}
  • {"month"=>"6", "year"=>"2018", "pdf_views"=>"6", "xml_views"=>"3", "html_views"=>"22"}
  • {"month"=>"7", "year"=>"2018", "pdf_views"=>"5", "xml_views"=>"4", "html_views"=>"24"}
  • {"month"=>"8", "year"=>"2018", "pdf_views"=>"10", "xml_views"=>"1", "html_views"=>"16"}
  • {"month"=>"9", "year"=>"2018", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"27"}
  • {"month"=>"10", "year"=>"2018", "pdf_views"=>"9", "xml_views"=>"2", "html_views"=>"28"}
  • {"month"=>"11", "year"=>"2018", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"22"}
  • {"month"=>"12", "year"=>"2018", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"16"}
  • {"month"=>"1", "year"=>"2019", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"9"}
  • {"month"=>"2", "year"=>"2019", "pdf_views"=>"2", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"3", "year"=>"2019", "pdf_views"=>"10", "xml_views"=>"0", "html_views"=>"24"}
  • {"month"=>"4", "year"=>"2019", "pdf_views"=>"14", "xml_views"=>"0", "html_views"=>"12"}
  • {"month"=>"5", "year"=>"2019", "pdf_views"=>"13", "xml_views"=>"0", "html_views"=>"25"}
  • {"month"=>"6", "year"=>"2019", "pdf_views"=>"7", "xml_views"=>"0", "html_views"=>"16"}
  • {"month"=>"7", "year"=>"2019", "pdf_views"=>"5", "xml_views"=>"0", "html_views"=>"19"}
  • {"month"=>"8", "year"=>"2019", "pdf_views"=>"4", "xml_views"=>"0", "html_views"=>"10"}

Figshare

  • {"files"=>["https://ndownloader.figshare.com/files/2171450"], "description"=>"<p>Environmental variables characterizing macro-scale hypotheses for biodiversity patterns.</p>", "links"=>[], "tags"=>["ecoregion", "energy availability", "European Terrestrial Vertebrate Species Richness", "evapotranspiration", "influence", "Species richness", "variable", "correlate", "species richness patterns"], "article_id"=>1479931, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Maud Mouchet", "Christian Levers", "Laure Zupan", "Tobias Kuemmerle", "Christoph Plutzar", "Karlheinz Erb", "Sandra Lavorel", "Wilfried Thuiller", "Helmut Haberl"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131924.t001", "stats"=>{"downloads"=>0, "page_views"=>8, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Environmental_variables_characterizing_macro_scale_hypotheses_for_biodiversity_patterns_/1479931", "title"=>"Environmental variables characterizing macro-scale hypotheses for biodiversity patterns.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2015-07-10 04:34:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/2171449"], "description"=>"<p>Examples of partial dependency plot representing the relationships between the predicted species richness of all vertebrates in Boreal (A), Continental (B), Northern Alpine (C), Northern Atlantic ecoregions (D) and Mediterranean mountains (E and F) and the main contributors identified by BRT models, namely AET for A, B and E, Bio4 for C-D and Bio15 for E.</p>", "links"=>[], "tags"=>["ecoregion", "energy availability", "European Terrestrial Vertebrate Species Richness", "evapotranspiration", "influence", "Species richness", "variable", "correlate", "species richness patterns"], "article_id"=>1479930, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Maud Mouchet", "Christian Levers", "Laure Zupan", "Tobias Kuemmerle", "Christoph Plutzar", "Karlheinz Erb", "Sandra Lavorel", "Wilfried Thuiller", "Helmut Haberl"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131924.g005", "stats"=>{"downloads"=>0, "page_views"=>15, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Examples_of_partial_dependency_plot_representing_the_relationships_between_the_predicted_species_richness_of_all_vertebrates_in_Boreal_A_Continental_B_Northern_Alpine_C_Northern_Atlantic_ecoregions_D_and_Mediterranean_mountains_E_and_F_and_the_main_contr/1479930", "title"=>"Examples of partial dependency plot representing the relationships between the predicted species richness of all vertebrates in Boreal (A), Continental (B), Northern Alpine (C), Northern Atlantic ecoregions (D) and Mediterranean mountains (E and F) and the main contributors identified by BRT models, namely AET for A, B and E, Bio4 for C-D and Bio15 for E.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-10 04:34:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/2171444"], "description"=>"<p>Environmental variables are detailed in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131924#pone.0131924.t001\" target=\"_blank\">Table 1</a>. Values in brackets are the performance of BRT model for each taxon and expressed as a percent of deviance explained (%).</p>", "links"=>[], "tags"=>["ecoregion", "energy availability", "European Terrestrial Vertebrate Species Richness", "evapotranspiration", "influence", "Species richness", "variable", "correlate", "species richness patterns"], "article_id"=>1479925, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Maud Mouchet", "Christian Levers", "Laure Zupan", "Tobias Kuemmerle", "Christoph Plutzar", "Karlheinz Erb", "Sandra Lavorel", "Wilfried Thuiller", "Helmut Haberl"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131924.g001", "stats"=>{"downloads"=>1, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_contribution_of_environmental_variables_to_explained_variance_of_the_Boosted_Regression_Trees_models_of_patterns_of_species_richness_of_each_vertebrate_group_at_the_pan_European_scale_/1479925", "title"=>"Relative contribution of environmental variables to explained variance of the Boosted Regression Trees models of patterns of species richness of each vertebrate group at the pan-European scale.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-10 04:34:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/2171452", "https://ndownloader.figshare.com/files/2171453", "https://ndownloader.figshare.com/files/2171454", "https://ndownloader.figshare.com/files/2171455"], "description"=>"<div><p>We compared the effectiveness of environmental variables, and in particular of land-use indicators, to explain species richness patterns across taxonomic groups and biogeographical scales (i.e. overall pan-Europe and ecoregions within pan-Europe). Using boosted regression trees that handle non-linear relationships, we compared the relative influence (as a measure of effectiveness) of environmental variables related to climate, landscape (or habitat heterogeneity), land-use intensity or energy availability to explain European vertebrate species richness (birds, amphibians, and mammals) at the continental and ecoregion scales. We found that dominant land cover and actual evapotranspiration that relate to energy availability were the main correlates of vertebrate species richness over Europe. At the ecoregion scale, we identified four distinct groups of ecoregions where species richness was essentially associated to (i) seasonality of temperature, (ii) actual evapotranspiration and/or mean annual temperature, (iii) seasonality of precipitation, actual evapotranspiration and land cover) and (iv) and an even combination of the environmental variables. This typology of ecoregions remained valid for total vertebrate richness and the three vertebrate groups taken separately. Despite the overwhelming influence of land cover and actual evapotranspiration to explain vertebrate species richness patterns at European scale, the ranking of the main correlates of species richness varied between regions. Interestingly, landscape and land-use indicators did not stand out at the continental scale but their influence greatly increased in southern ecoregions, revealing the long-lasting human footprint on land-use–land-cover changes. Our study provides one of the first multi-scale descriptions of the variability in the ranking of correlates across several taxa.</p></div>", "links"=>[], "tags"=>["ecoregion", "energy availability", "European Terrestrial Vertebrate Species Richness", "evapotranspiration", "influence", "Species richness", "variable", "correlate", "species richness patterns"], "article_id"=>1479933, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Maud Mouchet", "Christian Levers", "Laure Zupan", "Tobias Kuemmerle", "Christoph Plutzar", "Karlheinz Erb", "Sandra Lavorel", "Wilfried Thuiller", "Helmut Haberl"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0131924.s001", "https://dx.doi.org/10.1371/journal.pone.0131924.s002", "https://dx.doi.org/10.1371/journal.pone.0131924.s003", "https://dx.doi.org/10.1371/journal.pone.0131924.s004"], "stats"=>{"downloads"=>0, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Testing_the_Effectiveness_of_Environmental_Variables_to_Explain_European_Terrestrial_Vertebrate_Species_Richness_across_Biogeographical_Scales_/1479933", "title"=>"Testing the Effectiveness of Environmental Variables to Explain European Terrestrial Vertebrate Species Richness across Biogeographical Scales", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2015-07-10 04:34:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/2171448"], "description"=>"<p>The ecoregions are coloured according to the best explanatory environmental indicator: ecoregions where species richness patterns are best explained by AET are in green, by Bio4 in blue while green dots and dash blue lines represent ecoregions where best predictor is related to energy availability and climate respectively, but other predictors from the other hypotheses are almost as good predictors.</p>", "links"=>[], "tags"=>["ecoregion", "energy availability", "European Terrestrial Vertebrate Species Richness", "evapotranspiration", "influence", "Species richness", "variable", "correlate", "species richness patterns"], "article_id"=>1479929, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Maud Mouchet", "Christian Levers", "Laure Zupan", "Tobias Kuemmerle", "Christoph Plutzar", "Karlheinz Erb", "Sandra Lavorel", "Wilfried Thuiller", "Helmut Haberl"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131924.g004", "stats"=>{"downloads"=>0, "page_views"=>17, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Clustering_of_ecoregions_according_to_the_best_predictors_of_species_richness_patterns_/1479929", "title"=>"Clustering of ecoregions according to the best predictors of species richness patterns.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-10 04:34:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/2171446"], "description"=>"<p>“Arc”: Arctic; “AlpN”: Northern Alpine; “Bor”: Boreal; “AtlN”: Northern Atlantic; “Cont”: Continental; “Nem”: Nemoral; “AtlC”: Central Atlantic; “Step”: Steppic; “AlpS”: Southern Alpine; “Pan”: Pannonian; “Lus”: Lusitanian; “MedM”: Mediterranean Mountains; “MedN”: Northern Mediterranean; “MedS”: Southern Mediterranean; “Ana”: Anatolian. Environmental variables are detailed in <a href=\"http://www.plosone.org/article/info:doi/10.1371/journal.pone.0131924#pone.0131924.t001\" target=\"_blank\">Table 1</a>. Values in brackets are the performance of BRT model for each taxon and expressed as a percent of deviance explained (%).</p>", "links"=>[], "tags"=>["ecoregion", "energy availability", "European Terrestrial Vertebrate Species Richness", "evapotranspiration", "influence", "Species richness", "variable", "correlate", "species richness patterns"], "article_id"=>1479927, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Maud Mouchet", "Christian Levers", "Laure Zupan", "Tobias Kuemmerle", "Christoph Plutzar", "Karlheinz Erb", "Sandra Lavorel", "Wilfried Thuiller", "Helmut Haberl"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131924.g003", "stats"=>{"downloads"=>0, "page_views"=>9, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Relative_influence_of_environmental_variables_on_explained_variance_of_patterns_of_terrestrial_vertebrate_species_richness_at_the_pan_European_scale_and_by_ecoregions_modelled_using_Boosted_Regression_Trees_/1479927", "title"=>"Relative influence of environmental variables on explained variance of patterns of terrestrial vertebrate species richness at the pan-European scale and by ecoregions modelled using Boosted Regression Trees.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-10 04:34:47"}
  • {"files"=>["https://ndownloader.figshare.com/files/2171445"], "description"=>"<p>Partial dependency plot representing the relationships between the predicted species richness of all vertebrates (A), of birds (B), of amphibians (C) and of mammals (D) and the main contributors identified by BRT models, namely AET for A-C and GLC_maj for D, at the continental scale.</p>", "links"=>[], "tags"=>["ecoregion", "energy availability", "European Terrestrial Vertebrate Species Richness", "evapotranspiration", "influence", "Species richness", "variable", "correlate", "species richness patterns"], "article_id"=>1479926, "categories"=>["Biological Sciences", "Ecology"], "users"=>["Maud Mouchet", "Christian Levers", "Laure Zupan", "Tobias Kuemmerle", "Christoph Plutzar", "Karlheinz Erb", "Sandra Lavorel", "Wilfried Thuiller", "Helmut Haberl"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0131924.g002", "stats"=>{"downloads"=>0, "page_views"=>23, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Partial_dependency_plot_representing_the_relationships_between_the_predicted_species_richness_of_all_vertebrates_A_of_birds_B_of_amphibians_C_and_of_mammals_D_and_the_main_contributors_identified_by_BRT_models_namely_AET_for_A_C_and_GLC_maj_for_D_at_the_/1479926", "title"=>"Partial dependency plot representing the relationships between the predicted species richness of all vertebrates (A), of birds (B), of amphibians (C) and of mammals (D) and the main contributors identified by BRT models, namely AET for A-C and GLC_maj for D, at the continental scale.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2015-07-10 04:34:47"}

PMC Usage Stats | Further Information

  • {"unique-ip"=>"4", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"7"}
  • {"unique-ip"=>"10", "full-text"=>"9", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"8"}
  • {"unique-ip"=>"9", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"9"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"10"}
  • {"unique-ip"=>"7", "full-text"=>"7", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"12", "full-text"=>"7", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"11"}
  • {"unique-ip"=>"12", "full-text"=>"9", "pdf"=>"7", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2015", "month"=>"12"}
  • {"unique-ip"=>"7", "full-text"=>"4", "pdf"=>"6", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"3"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2016", "month"=>"4"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"5"}
  • {"unique-ip"=>"7", "full-text"=>"6", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"7"}
  • {"unique-ip"=>"2", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"8"}
  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"9"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"10"}
  • {"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"=>"11"}
  • {"unique-ip"=>"14", "full-text"=>"13", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"12"}
  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"1"}
  • {"unique-ip"=>"3", "full-text"=>"10", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
  • {"unique-ip"=>"8", "full-text"=>"15", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"3"}
  • {"unique-ip"=>"4", "full-text"=>"4", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"4"}
  • {"unique-ip"=>"4", "full-text"=>"3", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"5"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"6"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"8"}
  • {"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"=>"2017", "month"=>"9"}
  • {"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"=>"2017", "month"=>"10"}
  • {"unique-ip"=>"3", "full-text"=>"3", "pdf"=>"0", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"11"}
  • {"unique-ip"=>"6", "full-text"=>"5", "pdf"=>"3", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"12"}
  • {"unique-ip"=>"6", "full-text"=>"6", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"3", "cited-by"=>"0", "year"=>"2018", "month"=>"1"}
  • {"unique-ip"=>"14", "full-text"=>"14", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"1"}
  • {"unique-ip"=>"12", "full-text"=>"11", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"14", "full-text"=>"14", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"13", "full-text"=>"14", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"2", "supp-data"=>"4", "cited-by"=>"0", "year"=>"2018", "month"=>"4"}
  • {"unique-ip"=>"8", "full-text"=>"8", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"5"}
  • {"unique-ip"=>"9", "full-text"=>"9", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
  • {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"7"}
  • {"unique-ip"=>"15", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"1", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
  • {"unique-ip"=>"12", "full-text"=>"8", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"3", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"10"}
  • {"unique-ip"=>"8", "full-text"=>"9", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"2"}
  • {"unique-ip"=>"18", "full-text"=>"22", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"17", "full-text"=>"16", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"17", "full-text"=>"20", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}

Relative Metric

{"start_date"=>"2015-01-01T00:00:00Z", "end_date"=>"2015-12-31T00:00:00Z", "subject_areas"=>[]}
Loading … Spinner
There are currently no alerts