Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/29139
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dc.contributor.authorGomes, Vitor H Fen_UK
dc.contributor.authorIJff, Stéphanie Den_UK
dc.contributor.authorRaes, Nielsen_UK
dc.contributor.authorAmaral, Iêda Leãoen_UK
dc.contributor.authorSalomão, Rafael Pen_UK
dc.contributor.authorde Souza Coelho, Luizen_UK
dc.contributor.authorde Almeida Matos, Francisca Dioníziaen_UK
dc.contributor.authorCastilho, Carolina Ven_UK
dc.contributor.authorde Andrade Lima Filho, Diogenesen_UK
dc.contributor.authorLópez, Dairon Cárdenasen_UK
dc.contributor.authorGuevara, Juan Ernestoen_UK
dc.contributor.authorMagnusson, William Een_UK
dc.contributor.authorPhillips, Oliver Len_UK
dc.contributor.authorWittmann, Florianen_UK
dc.contributor.authorSilva, Thiago Sanna Freireen_UK
dc.date.accessioned2019-03-29T01:02:22Z-
dc.date.available2019-03-29T01:02:22Z-
dc.date.issued2018-12-01en_UK
dc.identifier.other1003en_UK
dc.identifier.urihttp://hdl.handle.net/1893/29139-
dc.description.abstractSpecies distribution models (SDMs) are widely used in ecology and conservation. Presence-only SDMs such as MaxEnt frequently use natural history collections (NHCs) as occurrence data, given their huge numbers and accessibility. NHCs are often spatially biased which may generate inaccuracies in SDMs. Here, we test how the distribution of NHCs and MaxEnt predictions relates to a spatial abundance model, based on a large plot dataset for Amazonian tree species, using inverse distance weighting (IDW). We also propose a new pipeline to deal with inconsistencies in NHCs and to limit the area of occupancy of the species. We found a significant but weak positive relationship between the distribution of NHCs and IDW for 66% of the species. The relationship between SDMs and IDW was also significant but weakly positive for 95% of the species, and sensitivity for both analyses was high. Furthermore, the pipeline removed half of the NHCs records. Presence-only SDM applications should consider this limitation, especially for large biodiversity assessments projects, when they are automatically generated without subsequent checking. Our pipeline provides a conservative estimate of a species’ area of occupancy, within an area slightly larger than its extent of occurrence, compatible to e.g. IUCN red list assessments.en_UK
dc.language.isoenen_UK
dc.publisherNature Publishing Groupen_UK
dc.relationGomes VHF, IJff SD, Raes N, Amaral IL, Salomão RP, de Souza Coelho L, de Almeida Matos FD, Castilho CV, de Andrade Lima Filho D, López DC, Guevara JE, Magnusson WE, Phillips OL, Wittmann F & Silva TSF (2018) Species Distribution Modelling: Contrasting presence-only models with plot abundance data. Scientific Reports, 8 (1), Art. No.: 1003. https://doi.org/10.1038/s41598-017-18927-1en_UK
dc.rightsThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_UK
dc.subjectHumanities and Social Sciencesen_UK
dc.subjectScienceen_UK
dc.subjectmultidisciplinaryen_UK
dc.titleSpecies Distribution Modelling: Contrasting presence-only models with plot abundance dataen_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1038/s41598-017-18927-1en_UK
dc.identifier.pmid29343741en_UK
dc.citation.jtitleScientific Reportsen_UK
dc.citation.issn2045-2322en_UK
dc.citation.volume8en_UK
dc.citation.issue1en_UK
dc.citation.publicationstatusPublisheden_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.citation.date17/01/2018en_UK
dc.description.notesAdditional co-authors: Marcelo de Jesus Veiga Carim, Maria Pires Martins, Mariana Victória Irume, Daniel Sabatier, Jean-François Molino, Olaf S. Bánki, José Renan da Silva Guimarães, Nigel C. A. Pitman, Maria Teresa Fernandez Piedade, Abel Monteagudo Mendoza, Bruno Garcia Luize, Eduardo Martins Venticinque, Evlyn Márcia Moraes de Leão Novo, Percy Núñez Vargas, Angelo Gilberto Manzatto, John Terborgh, Neidiane Farias Costa Reis, Juan Carlos Montero, Katia Regina Casula, Beatriz S. Marimon, Ben-Hur Marimon, Euridice N. Honorio Coronado, Ted R. Feldpausch, Alvaro Duque, Charles Eugene Zartman, Nicolás Castaño Arboleda, Timothy J. Killeen, Bonifacio Mostacedo, Rodolfo Vasquez, Jochen Schöngart, Rafael L. Assis, Marcelo Brilhante Medeiros, Marcelo Fragomeni Simon, Ana Andrade, William F. Laurance, José Luís Camargo, Layon O. Demarchi, Susan G. W. Laurance, Emanuelle de Sousa Farias, Henrique Eduardo Mendonça Nascimento, Juan David Cardenas Revilla, Adriano Quaresma, Flavia R. C. Costa, Ima Célia Guimarães Vieira, Bruno Barçante Ladvocat Cintra, Hernán Castellanos, Roel Brienen, Pablo R. Stevenson, Yuri Feitosa, Joost F. Duivenvoorden, Gerardo A. Aymard C., Hugo F. Mogollón, Natalia Targhetta, James A. Comiskey, Alberto Vicentini, Aline Lopes, Gabriel Damasco, Nállarett Dávila, Roosevelt García-Villacorta, Carolina Levis, Juliana Schietti, Priscila Souza, Thaise Emilio, Alfonso Alonso, David Neill, Francisco Dallmeier, Leandro Valle Ferreira, Alejandro Araujo-Murakami, Daniel Praia, Dário Dantas do Amaral, Fernanda Antunes Carvalho, Fernanda Coelho de Souza, Kenneth Feeley, Luzmila Arroyo, Marcelo Petratti Pansonato, Rogerio Gribel, Boris Villa, Juan Carlos Licona, Paul V. A. Fine, Carlos Cerón, Chris Baraloto, Eliana M. Jimenez, Juliana Stropp, Julien Engel, Marcos Silveira, Maria Cristina Peñuela Mora, Pascal Petronelli, Paul Maas, Raquel Thomas-Caesar, Terry W. Henkel, Doug Daly, Marcos Ríos Paredes, Tim R. Baker, Alfredo Fuentes, Carlos A. Peres, Jerome Chave, Jose Luis Marcelo Pena, Kyle G. Dexter, Miles R. Silman, Peter Møller Jørgensen, Toby Pennington, Anthony Di Fiore, Fernando Cornejo Valverde, Juan Fernando Phillips, Gonzalo Rivas-Torres, Patricio von Hildebrand, Tinde R. van Andel, Ademir R. Ruschel, Adriana Prieto, Agustín Rudas, Bruce Hoffman, César I. A. Vela, Edelcilio Marques Barbosa, Egleé L. Zent, George Pepe Gallardo Gonzales, Hilda Paulette Dávila Doza, Ires Paula de Andrade Miranda, Jean-Louis Guillaumet, Linder Felipe Mozombite Pinto, Luiz Carlos de Matos Bonates, Natalino Silva, Ricardo Zárate Gómez, Stanford Zent, Therany Gonzales, Vincent A. Vos, Yadvinder Malhi, Alexandre A. Oliveira, Angela Cano, Bianca Weiss Albuquerque, Corine Vriesendorp, Diego Felipe Correa, Emilio Vilanova Torre, Geertje van der Heijden, Hirma Ramirez-Angulo, José Ferreira Ramos, Kenneth R. Young, Maira Rocha, Marcelo Trindade Nascimento, Maria Natalia Umaña Medina, Milton Tirado, Ophelia Wang, Rodrigo Sierra, Armando Torres-Lezama, Casimiro Mendoza, Cid Ferreira, Cláudia Baider, Daniel Villarroel, Henrik Balslev, Italo Mesones, Ligia Estela Urrego Giraldo, Luisa Fernanda Casas, Manuel Augusto Ahuite Reategui, Reynaldo Linares-Palomino, Roderick Zagt, Sasha Cárdenas, William Farfan-Rios, Adeilza Felipe Sampaio, Daniela Pauletto, Elvis H. Valderrama Sandoval, Freddy Ramirez Arevalo, Isau Huamantupa-Chuquimaco, Karina Garcia-Cabrera, Lionel Hernandez, Luis Valenzuela Gamarra, Miguel N. Alexiades, Susamar Pansini, Walter Palacios Cuenca, William Milliken, Joana Ricardo, Gabriela Lopez-Gonzalez, Edwin Pos & Hans ter Steegeen_UK
dc.contributor.affiliationGoeldi Museumen_UK
dc.contributor.affiliationNaturalis Biodiversity Centeren_UK
dc.contributor.affiliationNaturalis Biodiversity Centeren_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia (INPA)en_UK
dc.contributor.affiliationUniversidade Federal do Pará (UFPA)en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia (INPA)en_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia (INPA)en_UK
dc.contributor.affiliationEmbrapa Brazilian Agricultural Research Corporationen_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia (INPA)en_UK
dc.contributor.affiliationSinchi Amazonic Institute of Scientific Researchen_UK
dc.contributor.affiliationUniversity of California, Berkeleyen_UK
dc.contributor.affiliationInstituto Nacional de Pesquisas da Amazônia (INPA)en_UK
dc.contributor.affiliationUniversity of Leedsen_UK
dc.contributor.affiliationKarlsruhe Institute of Technologyen_UK
dc.contributor.affiliationSao Paulo State Universityen_UK
dc.identifier.isiWOS:000422716900137en_UK
dc.identifier.scopusid2-s2.0-85041379841en_UK
dc.identifier.wtid1239230en_UK
dc.contributor.orcid0000-0001-8174-0489en_UK
dc.date.accepted2017-12-20en_UK
dcterms.dateAccepted2017-12-20en_UK
dc.date.filedepositdate2019-03-28en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorGomes, Vitor H F|en_UK
local.rioxx.authorIJff, Stéphanie D|en_UK
local.rioxx.authorRaes, Niels|en_UK
local.rioxx.authorAmaral, Iêda Leão|en_UK
local.rioxx.authorSalomão, Rafael P|en_UK
local.rioxx.authorde Souza Coelho, Luiz|en_UK
local.rioxx.authorde Almeida Matos, Francisca Dionízia|en_UK
local.rioxx.authorCastilho, Carolina V|en_UK
local.rioxx.authorde Andrade Lima Filho, Diogenes|en_UK
local.rioxx.authorLópez, Dairon Cárdenas|en_UK
local.rioxx.authorGuevara, Juan Ernesto|en_UK
local.rioxx.authorMagnusson, William E|en_UK
local.rioxx.authorPhillips, Oliver L|en_UK
local.rioxx.authorWittmann, Florian|en_UK
local.rioxx.authorSilva, Thiago Sanna Freire|0000-0001-8174-0489en_UK
local.rioxx.projectInternal Project|University of Stirling|https://isni.org/isni/0000000122484331en_UK
local.rioxx.freetoreaddate2019-03-28en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by/4.0/|2019-03-28|en_UK
local.rioxx.filenames41598-017-18927-1.pdfen_UK
local.rioxx.filecount1en_UK
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