Slik JWF Franklin J Arroyo-Rodríguez V Field R Aguilar S Aguirre N Ahumada J Aiba SI Alves LF K A Avella A Mora F Aymard C GA Báez S Balvanera P Bastian ML Bastin JF Bellingham PJ van den Berg E da Conceição Bispo P Boeckx P Boehning-Gaese K Bongers F Boyle B Brambach F Brearley FQ Brown S Chai SL Chazdon RL Chen S Chhang P Chuyong G Ewango C Coronado IM Cristóbal-Azkarate J Culmsee H Damas K Dattaraja HS Davidar P DeWalt SJ Din H Drake DR Duque A Durigan G Eichhorn K Eler ES Enoki T Ensslin A Fandohan AB Farwig N Feeley KJ Fischer M Forshed O Garcia QS Garkoti SC Gillespie TW Gillet JF Gonmadje C Granzow-de la Cerda I Griffith DM Grogan J Hakeem KR Harris DJ Harrison RD Hector A Hemp A Homeier J Hussain MS Ibarra-Manríquez G Hanum IF Imai N Jansen PA Joly CA Joseph S Kartawinata K Kearsley E Kelly DL Kessler M Killeen TJ Kooyman RM Laumonier Y Laurance SG Laurance WF Lawes MJ Letcher SG Lindsell J Lovett J Lozada J Lu X Lykke AM Mahmud KB Mahayani NPD Mansor A Marshall AR Martin EH Calderado Leal Matos D Meave JA Melo FPL Mendoza ZHA Metali F Medjibe VP Metzger JP Metzker T Mohandass D Munguía-Rosas MA Muñoz R Nurtjahy E de Oliveira EL Onrizal Parolin P Parren M Parthasarathy N Paudel E Perez R Pérez-García EA Pommer U Poorter L Qie L Piedade MTF Pinto JRR Poulsen AD Poulsen JR Powers JS Prasad RC Puyravaud JP Rangel O Reitsma J Rocha DSB Rolim S Rovero F Rozak A Ruokolainen K Rutishauser E Rutten G Mohd Said MN Saiter FZ Saner P Santos B Dos Santos JR Sarker SK Schmitt CB Schoengart J Schulze M Sheil D Sist P Souza AF Spironello WR Sposito T Steinmetz R Stevart T Suganuma MS Sukri R Sultana A Sukumar R Sunderland T Supriyadi Suresh HS Suzuki E Tabarelli M Tang J Tanner EVJ Targhetta N Theilade I Thomas D Timberlake J de Morisson Valeriano M van Valkenburg J Van Do T Van Sam H Vandermeer JH Verbeeck H Vetaas OR Adekunle V Vieira SA Webb CO Webb EL Whitfeld T Wich S Williams J Wiser S Wittmann F Yang X Adou Yao CY Yap SL Zahawi RA Zakaria R Zang R 2018 Knowledge about the biogeographic affinities of the world's tropical forests helps to better understand regional differences in forest structure, diversity, composition, and dynamics. Such understanding will enable anticipation of region-specific responses to global environmental change. Modern phylogenies, in combination with broad coverage of species inventory data, now allow for global biogeographic analyses that take species evolutionary distance into account. Here we present a classification of the world's tropical forests based on their phylogenetic similarity. We identify five principal floristic regions and their floristic relationships: (i) Indo-Pacific, (ii) Subtropical, (iii) African, (iv) American, and (v) Dry forests. Our results do not support the traditional neo- versus paleotropical forest division but instead separate the combined American and African forests from their Indo-Pacific counterparts. We also find indications for the existence of a global dry forest region, with representatives in America, Africa, Madagascar, and India. Additionally, a northern-hemisphere Subtropical forest region was identified with representatives in Asia and America, providing support for a link between Asian and American northern-hemisphere forests. application/pdf https://sonar.ch/global/documents/278718 eng info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.1714977115 info:eu-repo/semantics/altIdentifier/pmid/29432167 info:eu-repo/semantics/openAccess Proceedings of the National Academy of Sciences of the United States of America. - 2018 biogeographic legacies forest classification forest functional similarity phylogenetic community distance tropical forests Biodiversity Conservation of Natural Resources Environmental Monitoring Forests Phylogeny Plants Tropical Climate Phylogenetic classification of the world's tropical forests. http://purl.org/coar/resource_type/c_6501