{"id":3836,"date":"2026-07-02T08:11:05","date_gmt":"2026-07-02T16:11:05","guid":{"rendered":"https:\/\/bien.nceas.ucsb.edu\/bien\/?page_id=3836"},"modified":"2026-07-02T08:11:05","modified_gmt":"2026-07-02T16:11:05","slug":"literature-cited-papers-prominently-using-bien-data","status":"publish","type":"page","link":"https:\/\/bien.nceas.ucsb.edu\/bien\/literature-cited-papers-prominently-using-bien-data\/","title":{"rendered":"Literature Cited \u2014 Papers Prominently Using BIEN Data"},"content":{"rendered":"<p>\n  Curated bibliography of peer-reviewed papers that prominently use the<br \/>\n  <strong>Botanical Information and Ecology Network (BIEN)<\/strong> database,<br \/>\n  R package, or associated services. Every entry was verified against Crossref<br \/>\n  (DOI, journal, volume, pages, year) on <strong>2 July 2026<\/strong>. Author lists<br \/>\n  are abbreviated with <em>et al.<\/em>; the complete author list is available at<br \/>\n  each DOI landing page.\n<\/p>\n<h3>Primary references (cite when using BIEN data or tools)<\/h3>\n<ul>\n<li>\n    Enquist BJ, Boyle B, Maitner BS, et al. (2026). BIEN: A biodiversity informatics<br \/>\n    ecosystem advancing open and reproducible workflows for plant observation, plot<br \/>\n    and trait data. <em>Methods in Ecology and Evolution<\/em>, 17(5), 1556&ndash;1584.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/2041-210X.70274\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/2041-210X.70274<\/a>\n  <\/li>\n<li>\n    Maitner BS, Boyle B, Casler N, Condit R, Donoghue J, Dur&aacute;n SM, Guaderrama D,<br \/>\n    Hinchliff CE, J&oslash;rgensen PM, Kraft NJB, McGill B, Merow C, Morueta-Holme N,<br \/>\n    Peet RK, Sandel B, Schildhauer M, Smith SA, Svenning J-C, Thiers B, Violle C,<br \/>\n    Wiser S, Enquist BJ (2018). The BIEN R package: a tool to access the Botanical<br \/>\n    Information and Ecology Network (BIEN) database. <em>Methods in Ecology and<br \/>\n    Evolution<\/em>, 9(2), 373&ndash;379.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/2041-210X.12861\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/2041-210X.12861<\/a>\n  <\/li>\n<\/ul>\n<h4>Associated tools, standards, and services<\/h4>\n<ul>\n<li>\n    Boyle B, Hopkins N, Lu Z, Raygoza Garay JA, Mozzherin D, Rees T, Matasci N,<br \/>\n    Narro ML, Piel WH, McKay SJ, Lowry S, Freeland C, Peet RK, Enquist BJ (2013).<br \/>\n    The taxonomic name resolution service: an online tool for automated<br \/>\n    standardization of plant names. <em>BMC Bioinformatics<\/em>, 14, 16.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1186\/1471-2105-14-16\" target=\"_blank\" rel=\"noopener\">doi:10.1186\/1471-2105-14-16<\/a>\n  <\/li>\n<li>\n    Goldsmith GR, Morueta-Holme N, Sandel B, et al. (2016). Plant-O-Matic: a dynamic<br \/>\n    and mobile guide to all plants of the Americas. <em>Methods in Ecology and<br \/>\n    Evolution<\/em>, 7(8), 960&ndash;965.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/2041-210X.12548\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/2041-210X.12548<\/a>\n  <\/li>\n<li>\n    Merow C, Maitner BS, Owens HL, Kass JM, Enquist BJ, Jetz W, Guralnick R (2019).<br \/>\n    Species&rsquo; range model metadata standards: RMMS. <em>Global Ecology and<br \/>\n    Biogeography<\/em>, 28(12), 1912&ndash;1924.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/geb.12993\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/geb.12993<\/a>\n  <\/li>\n<\/ul>\n<h3>Selected research prominently using BIEN data<\/h3>\n<p><em>Tags indicate the BIEN data product(s) each study draws on.<\/em><\/p>\n<ol>\n<li>\n    Enquist BJ, et al. (2019). The commonness of rarity: global and future<br \/>\n    distribution of rarity across land plants. <em>Science Advances<\/em>, 5(11),<br \/>\n    eaaz0414.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1126\/sciadv.aaz0414\" target=\"_blank\" rel=\"noopener\">doi:10.1126\/sciadv.aaz0414<\/a><br \/>\n    &mdash; <em>occurrence, range\/SDM<\/em>\n  <\/li>\n<li>\n    Cai L, et al. (2022). Global models and predictions of plant diversity based on<br \/>\n    advanced machine learning techniques. <em>New Phytologist<\/em>, 237(4),<br \/>\n    1432&ndash;1445.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/nph.18533\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/nph.18533<\/a><br \/>\n    &mdash; <em>occurrence<\/em>\n  <\/li>\n<li>\n    Hannah L, et al. (2020). 30% land conservation and climate action reduces<br \/>\n    tropical extinction risk by more than 50%. <em>Ecography<\/em>, 43(7),<br \/>\n    943&ndash;953.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/ecog.05166\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/ecog.05166<\/a><br \/>\n    &mdash; <em>range\/SDM, conservation<\/em>\n  <\/li>\n<li>\n    Jardine EC, et al. (2020). The global distribution of grass functional traits<br \/>\n    within grassy biomes. <em>Journal of Biogeography<\/em>, 47(2), 553&ndash;565.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/jbi.13764\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/jbi.13764<\/a><br \/>\n    &mdash; <em>trait<\/em>\n  <\/li>\n<li>\n    McFadden IR, et al. (2019). Temperature shapes opposing latitudinal gradients of<br \/>\n    plant taxonomic and phylogenetic &beta; diversity. <em>Ecology Letters<\/em>,<br \/>\n    22(7), 1126&ndash;1135.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/ele.13269\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/ele.13269<\/a><br \/>\n    &mdash; <em>occurrence, phylogenetic<\/em>\n  <\/li>\n<li>\n    Feng X, et al. (2019). A checklist for maximizing reproducibility of ecological<br \/>\n    niche models. <em>Nature Ecology &amp; Evolution<\/em>, 3(10), 1382&ndash;1395.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1038\/s41559-019-0972-5\" target=\"_blank\" rel=\"noopener\">doi:10.1038\/s41559-019-0972-5<\/a><br \/>\n    &mdash; <em>occurrence, range\/SDM<\/em>\n  <\/li>\n<li>\n    &Scaron;&iacute;mov&aacute; I, et al. (2019). The relationship of woody plant size<br \/>\n    and leaf nutrient content to large-scale productivity for forests across the<br \/>\n    Americas. <em>Journal of Ecology<\/em>, 107(5), 2278&ndash;2290.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/1365-2745.13163\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/1365-2745.13163<\/a><br \/>\n    &mdash; <em>trait, plot<\/em>\n  <\/li>\n<li>\n    Steidinger BS, et al. (2019). Climatic controls of decomposition drive the global<br \/>\n    biogeography of forest-tree symbioses. <em>Nature<\/em>, 569(7756), 404&ndash;408.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1038\/s41586-019-1128-0\" target=\"_blank\" rel=\"noopener\">doi:10.1038\/s41586-019-1128-0<\/a><br \/>\n    &mdash; <em>verify BIEN centrality; primarily forest-inventory (GFBI) data<\/em>\n  <\/li>\n<li>\n    Echeverr&iacute;a-Londo&ntilde;o S, et al. (2018). Plant functional diversity and<br \/>\n    the biogeography of biomes in North and South America. <em>Frontiers in Ecology<br \/>\n    and Evolution<\/em>, 6, 219.<br \/>\n    <a href=\"https:\/\/doi.org\/10.3389\/fevo.2018.00219\" target=\"_blank\" rel=\"noopener\">doi:10.3389\/fevo.2018.00219<\/a><br \/>\n    &mdash; <em>trait, occurrence<\/em>\n  <\/li>\n<li>\n    &Scaron;&iacute;mov&aacute; I, et al. (2018). Spatial patterns and climate<br \/>\n    relationships of major plant traits in the New World differ between woody and<br \/>\n    herbaceous species. <em>Journal of Biogeography<\/em>, 45(4), 895&ndash;916.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/jbi.13171\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/jbi.13171<\/a><br \/>\n    &mdash; <em>trait<\/em>\n  <\/li>\n<li>\n    Eiserhardt WL, et al. (2018). A roadmap for global synthesis of the plant tree of<br \/>\n    life. <em>American Journal of Botany<\/em>, 105(3), 614&ndash;622.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1002\/ajb2.1041\" target=\"_blank\" rel=\"noopener\">doi:10.1002\/ajb2.1041<\/a><br \/>\n    &mdash; <em>verify BIEN centrality; perspective\/roadmap paper<\/em>\n  <\/li>\n<li>\n    Serra-Diaz JM, et al. (2017). Big data of tree species distributions: how big and<br \/>\n    how good? <em>Forest Ecosystems<\/em>, 4, 30.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1186\/s40663-017-0120-0\" target=\"_blank\" rel=\"noopener\">doi:10.1186\/s40663-017-0120-0<\/a><br \/>\n    &mdash; <em>occurrence, range\/SDM<\/em>\n  <\/li>\n<li>\n    Cserg&#337; AM, et al. (2017). Less favourable climates constrain demographic<br \/>\n    strategies in plants. <em>Ecology Letters<\/em>, 20(8), 969&ndash;980.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/ele.12794\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/ele.12794<\/a><br \/>\n    &mdash; <em>verify BIEN centrality; demographic data from COMPADRE<\/em>\n  <\/li>\n<li>\n    Doughty CE, et al. (2016). Megafauna extinction, tree species range reduction, and<br \/>\n    carbon storage in Amazonian forests. <em>Ecography<\/em>, 39(2), 194&ndash;203.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/ecog.01587\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/ecog.01587<\/a><br \/>\n    &mdash; <em>range\/SDM<\/em>\n  <\/li>\n<li>\n    Lamanna C, et al. (2014). Functional trait space and the latitudinal diversity<br \/>\n    gradient. <em>Proceedings of the National Academy of Sciences<\/em>, 111(38),<br \/>\n    13745&ndash;13750.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1073\/pnas.1317722111\" target=\"_blank\" rel=\"noopener\">doi:10.1073\/pnas.1317722111<\/a><br \/>\n    &mdash; <em>trait, occurrence<\/em>\n  <\/li>\n<li>\n    Morueta-Holme N, et al. (2013). Habitat area and climate stability determine<br \/>\n    geographical variation in plant species range sizes. <em>Ecology Letters<\/em>,<br \/>\n    16(12), 1446&ndash;1454.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1111\/ele.12184\" target=\"_blank\" rel=\"noopener\">doi:10.1111\/ele.12184<\/a><br \/>\n    &mdash; <em>occurrence, range\/SDM<\/em>\n  <\/li>\n<\/ol>\n<h4>Borderline \/ predates the BIEN R package (verify before citing as BIEN use)<\/h4>\n<ul>\n<li>\n    Sandel B, et al. (2011). The influence of Late Quaternary climate-change velocity<br \/>\n    on species endemism. <em>Science<\/em>, 334(6056), 660&ndash;664.<br \/>\n    <a href=\"https:\/\/doi.org\/10.1126\/science.1210173\" target=\"_blank\" rel=\"noopener\">doi:10.1126\/science.1210173<\/a><br \/>\n    &mdash; <em>foundational BIEN-group paper; predates the BIEN R package and used<br \/>\n    assembled range data.<\/em>\n  <\/li>\n<\/ul>\n<hr \/>\n<p style=\"font-size: 0.9em;\">\n  <strong>Note.<\/strong> Candidate papers were drawn from the BIEN publications and<br \/>\n  citation pages, then each DOI and its metadata were confirmed via the Crossref REST<br \/>\n  API (verified 2 July 2026). DOI verification confirms the citation, not that a paper<br \/>\n  used BIEN data centrally in its methods &mdash; entries flagged<br \/>\n  &ldquo;verify BIEN centrality&rdquo; use BIEN in a supporting role. This list is a<br \/>\n  verified, high-prominence subset and is not exhaustive. When citing BIEN-derived<br \/>\n  outputs, record the access date, query scope, and key filters\/validation rules used.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Curated bibliography of peer-reviewed papers that prominently use the Botanical Information and Ecology Network (BIEN) database, R package, or associated services. Every entry was verified against Crossref (DOI, journal, volume, pages, year) on 2 July 2026. Author lists are abbreviated with et al.; the complete author list is available at each DOI landing page. Primary [&hellip;]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"class_list":["post-3836","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/pages\/3836"}],"collection":[{"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/comments?post=3836"}],"version-history":[{"count":1,"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/pages\/3836\/revisions"}],"predecessor-version":[{"id":3837,"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/pages\/3836\/revisions\/3837"}],"wp:attachment":[{"href":"https:\/\/bien.nceas.ucsb.edu\/bien\/wp-json\/wp\/v2\/media?parent=3836"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}