Climate Change and the Future of California's Endemic Flora
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{"title"=>"Modelling potential distribution of Sapium sebiferum - an invasive tree species in western Himalaya", "type"=>"journal", "authors"=>[{"first_name"=>"Vikrant", "last_name"=>"Jaryan", "scopus_author_id"=>"23111059800"}, {"first_name"=>"Arunava", "last_name"=>"Datta", "scopus_author_id"=>"55935198500"}, {"first_name"=>"Sanjay Kr", "last_name"=>"Uniyal", "scopus_author_id"=>"7004569666"}, {"first_name"=>"Amit", "last_name"=>"Kumar", "scopus_author_id"=>"12802375600"}, {"first_name"=>"R. C.", "last_name"=>"Gupta", "scopus_author_id"=>"56079983800"}, {"first_name"=>"R. D.", "last_name"=>"Singh", "scopus_author_id"=>"10641795600"}], "year"=>2013, "source"=>"Current Science", "identifiers"=>{"pmid"=>"18648541", "doi"=>"10.1371/journal.pone.0002502", "sgr"=>"84888048131", "isbn"=>"1932-6203", "scopus"=>"2-s2.0-84888048131", "issn"=>"00113891", "pui"=>"370313200"}, "keywords"=>["Mesic areas", "Plant invasion", "Sapium sebiferum", "Species distribution models"], "id"=>"9a99db09-daf2-33f2-bad4-c4b55ccb3724", "abstract"=>"The use of species distribution models is gaining popu- larity in biological sciences. We used Maxent, a maxi- mum entropy-based program, to predict distribution of Sapium sebiferum in western Himalaya. Sapium se- biferum is amongst the highly invasive species of the world and its spread in western Himalaya is a serious conservation issue. In order to model its distribution, we used field-collected coordinates of 177 presence loca- tions of the species. Additionally, environmental data downloaded from the worldclim data portal were also used. Maxent was then run using default settings with 70% of the locations being used for training and the remaining 30% for testing the model. Area under curve for the receiving operator analyses measured at all possible threshold values training (0.993) and test (0.993) was close to 1, thereby showing the accuracy of the model.", "link"=>"http://www.mendeley.com/research/modelling-potential-distribution-sapium-sebiferum-invasive-tree-species-western-himalaya-2", "reader_count"=>20, "reader_count_by_academic_status"=>{"Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>2, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_user_role"=>{"Professor > Associate Professor"=>2, "Researcher"=>4, "Student > Doctoral Student"=>1, "Student > Ph. D. Student"=>6, "Student > Postgraduate"=>2, "Student > Master"=>2, "Student > Bachelor"=>2, "Lecturer"=>1}, "reader_count_by_subject_area"=>{"Engineering"=>1, "Unspecified"=>1, "Environmental Science"=>7, "Agricultural and Biological Sciences"=>10, "Earth and Planetary Sciences"=>1}, "reader_count_by_subdiscipline"=>{"Engineering"=>{"Engineering"=>1}, "Earth and Planetary Sciences"=>{"Earth and Planetary Sciences"=>1}, "Agricultural and Biological Sciences"=>{"Agricultural and Biological Sciences"=>10}, "Unspecified"=>{"Unspecified"=>1}, "Environmental Science"=>{"Environmental Science"=>7}}, "reader_count_by_country"=>{"United Kingdom"=>1, "Germany"=>1}, "group_count"=>3}

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  • {"files"=>["https://ndownloader.figshare.com/files/459120", "https://ndownloader.figshare.com/files/459156", "https://ndownloader.figshare.com/files/459172", "https://ndownloader.figshare.com/files/459200", "https://ndownloader.figshare.com/files/459214", "https://ndownloader.figshare.com/files/459231", "https://ndownloader.figshare.com/files/459255", "https://ndownloader.figshare.com/files/459274", "https://ndownloader.figshare.com/files/459291"], "description"=>"<div><p>The flora of California, a global biodiversity hotspot, includes 2387 endemic plant taxa. With anticipated climate change, we project that up to 66% will experience >80% reductions in range size within a century. These results are comparable with other studies of fewer species or just samples of a region's endemics. Projected reductions depend on the magnitude of future emissions and on the ability of species to disperse from their current locations. California's varied terrain could cause species to move in very different directions, breaking up present-day floras. However, our projections also identify regions where species undergoing severe range reductions may persist. Protecting these potential future refugia and facilitating species dispersal will be essential to maintain biodiversity in the face of climate change.</p></div>", "links"=>[], "tags"=>["endemic", "flora"], "article_id"=>150464, "categories"=>["Ecology"], "users"=>["Scott R. Loarie", "Benjamin E. Carter", "Katharine Hayhoe", "Sean McMahon", "Richard Moe", "Charles A. Knight", "David D. Ackerly"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0002502.s001", "https://dx.doi.org/10.1371/journal.pone.0002502.s002", "https://dx.doi.org/10.1371/journal.pone.0002502.s003", "https://dx.doi.org/10.1371/journal.pone.0002502.s004", "https://dx.doi.org/10.1371/journal.pone.0002502.s005", "https://dx.doi.org/10.1371/journal.pone.0002502.s006", "https://dx.doi.org/10.1371/journal.pone.0002502.s007", "https://dx.doi.org/10.1371/journal.pone.0002502.s008", "https://dx.doi.org/10.1371/journal.pone.0002502.s009"], "stats"=>{"downloads"=>19, "page_views"=>16, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Climate_Change_and_the_Future_of_California_s_Endemic_Flora/150464", "title"=>"Climate Change and the Future of California's Endemic Flora", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2008-06-25 00:07:44"}
  • {"files"=>["https://ndownloader.figshare.com/files/927388"], "description"=>"<p>(A) The province divided into six floristic regions (solid lines): Northwestern California (NW), Central Western California (CW), Southwestern California (SW), the Cascade Ranges (CaR), the Great Central Valley (GV), and the Sierra Nevada (SN). The province includes most of California (dashed line) and portions of Oregon and Mexico. We include a surrounding buffer of equal area (colored areas outside solid line). Colors represent elevation in meters. (B) Projected present diversity. (C–J) Projected diversity 80 years from now modeled with increasing amounts of future climate change: (C–F) Plants cannot disperse. (G–J) Plants can disperse to all suitable areas. (C, F, G, H) Simulations based on the lower sensitivity PCM model. (E, F, I, J) Simulations based on the higher-sensitivity HadCM3 model. (C, E, G, I) Lower emissions scenario (B1). (D, F, H, J) Higher emissions scenario (A1FI).</p>", "links"=>[], "tags"=>["maxent", "projections", "591"], "article_id"=>597832, "categories"=>["Ecology"], "users"=>["Scott R. Loarie", "Benjamin E. Carter", "Katharine Hayhoe", "Sean McMahon", "Richard Moe", "Charles A. Knight", "David D. Ackerly"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002502.g001", "stats"=>{"downloads"=>1, "page_views"=>7, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Study_area_and_Maxent_diversity_projections_of_the_best_known_591_species_/597832", "title"=>"Study area and Maxent diversity projections of the best known 591 species.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-06-25 02:10:32"}
  • {"files"=>["https://ndownloader.figshare.com/files/927653"], "description"=>"<p>(A - D) Percent geometric mean change in range size (Future/Present with colors stretched from a <-10% decrease to a >10% increase). (E - H) Diversity of species gains (future diversity with migration minus future diversity without migration) for the quarter species suffering the largest range contractions. (A, B, E, F) Simulations based on the lower-sensitivity PCM model. (C, D, G, H) Simulations based on the higher-sensitivity HadCM3 model. (A, C, E, G) Lower emissions (B1). (B, D, F, H) Higher emissions (A1FI).</p>", "links"=>[], "tags"=>["patterns"], "article_id"=>598106, "categories"=>["Ecology"], "users"=>["Scott R. Loarie", "Benjamin E. Carter", "Katharine Hayhoe", "Sean McMahon", "Richard Moe", "Charles A. Knight", "David D. Ackerly"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002502.g004", "stats"=>{"downloads"=>0, "page_views"=>2, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Future_patterns_of_range_size_changes_across_increasing_levels_of_climate_change_in_which_species_can_move_/598106", "title"=>"Future patterns of range size changes across increasing levels of climate change in which species can move.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-06-25 02:15:06"}
  • {"files"=>["https://ndownloader.figshare.com/files/927486"], "description"=>"<p>(B) Projected present diversity from the Multi-level Generalized Linear Model for all species with >2 specimens (2068). (C–J) Projected diversity 80 years from now modeled with increasingly increasing amounts of future climate change: (C–F) Plants cannot disperse. (G–J) Plants can disperse to all suitable areas. (C, F, G, H) Simulations based on the lower sensitivity PCM model. (E, F, I, J) Simulations based on the higher-sensitivity HadCM3 model. (C, E, G, I) Lower emissions scenario (B1). (D, F, H, J) Higher emissions scenario (A1FI).</p>", "links"=>[], "tags"=>["maps", "california", "floristic", "endemic"], "article_id"=>597931, "categories"=>["Ecology"], "users"=>["Scott R. Loarie", "Benjamin E. Carter", "Katharine Hayhoe", "Sean McMahon", "Richard Moe", "Charles A. Knight", "David D. Ackerly"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002502.g002", "stats"=>{"downloads"=>1, "page_views"=>6, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_A_Present_diversity_from_range_maps_for_all_California_Floristic_Province_endemic_species_2387_/597931", "title"=>"(A) Present diversity from range maps for all California Floristic Province endemic species (2387).", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-06-25 02:12:11"}
  • {"files"=>["https://ndownloader.figshare.com/files/927580"], "description"=>"<p>(A) Two representative species that have adjacent present ranges (lighter colors) and are projected to move in opposing directions (arrows and darker colors). (B) Projected centroid movements for all species. Individual polar plots group species by the floristic region in which their centroid originates. Within each plot, species are grouped by the elevation in which their centroids originate. The magnitude of the directions represents the percentage of the regional flora moving in each direction.</p>", "links"=>[], "tags"=>["geographic", "centroids", "hadcm3", "simulations", "a1fi", "80", "years", "assuming"], "article_id"=>598020, "categories"=>["Ecology"], "users"=>["Scott R. Loarie", "Benjamin E. Carter", "Katharine Hayhoe", "Sean McMahon", "Richard Moe", "Charles A. Knight", "David D. Ackerly"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0002502.g003", "stats"=>{"downloads"=>0, "page_views"=>11, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Movement_of_species_geographic_centroids_based_on_HadCM3_simulations_using_the_A1FI_emission_scenario_80_years_in_the_future_and_assuming_species_can_move_/598020", "title"=>"Movement of species geographic centroids based on HadCM3 simulations using the A1FI emission scenario 80 years in the future and assuming species can move.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2008-06-25 02:13:40"}

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  • {"unique-ip"=>"6", "full-text"=>"1", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"2"}
  • {"unique-ip"=>"10", "full-text"=>"7", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2014", "month"=>"11"}
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  • {"unique-ip"=>"9", "full-text"=>"4", "pdf"=>"4", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"1"}
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  • {"unique-ip"=>"5", "full-text"=>"4", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"7", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2016", "month"=>"6"}
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  • {"unique-ip"=>"3", "full-text"=>"2", "pdf"=>"1", "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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  • {"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"=>"2016", "month"=>"12"}
  • {"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"=>"1"}
  • {"unique-ip"=>"5", "full-text"=>"5", "pdf"=>"1", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2017", "month"=>"2"}
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  • {"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"=>"2017", "month"=>"12"}
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  • {"unique-ip"=>"16", "full-text"=>"16", "pdf"=>"2", "abstract"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"3"}
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  • {"unique-ip"=>"7", "full-text"=>"9", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"6"}
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  • {"unique-ip"=>"12", "full-text"=>"13", "pdf"=>"1", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"2", "cited-by"=>"0", "year"=>"2018", "month"=>"8"}
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  • {"unique-ip"=>"16", "full-text"=>"19", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"9"}
  • {"unique-ip"=>"16", "full-text"=>"15", "pdf"=>"2", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"1", "year"=>"2018", "month"=>"12"}
  • {"unique-ip"=>"43", "full-text"=>"57", "pdf"=>"5", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2018", "month"=>"11"}
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  • {"unique-ip"=>"12", "full-text"=>"7", "pdf"=>"6", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"5", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"3"}
  • {"unique-ip"=>"24", "full-text"=>"26", "pdf"=>"7", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"6", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"4"}
  • {"unique-ip"=>"19", "full-text"=>"17", "pdf"=>"4", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"5"}
  • {"unique-ip"=>"12", "full-text"=>"14", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"8"}
  • {"unique-ip"=>"11", "full-text"=>"13", "pdf"=>"0", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"1", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"9"}
  • {"unique-ip"=>"21", "full-text"=>"27", "pdf"=>"3", "scanned-summary"=>"0", "scanned-page-browse"=>"0", "figure"=>"0", "supp-data"=>"0", "cited-by"=>"0", "year"=>"2019", "month"=>"10"}
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Relative Metric

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