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Author (up) Gomes, V.H.F.; IJff, S.D.; Raes, N.; Amaral, I.L.; Salomão, R.P.; de Souza Coelho, L.; de Almeida Matos, F.D.; Castilho, C.V.; de Andrade Lima Filho, D.; López, D.C.; Guevara, J.E.; Magnusson, W.E.; Phillips, O.L.; Wittmann, F.; de Jesus Veiga Carim, M.; Martins, M.P.; Irume, M.V.; Sabatier, D.; Molino, J.-F.; Bánki, O.S.; da Silva Guimarães, J.R.; Pitman, N.C.A.; Piedade, M.T.F.; Mendoza, A.M.; Luize, B.G.; Venticinque, E.M.; de Leão Novo, E.M.M.; Vargas, P.N.; Silva, T.S.F.; Manzatto, A.G.; Terborgh, J.; Reis, N.F.C.; Montero, J.C.; Casula, K.R.; Marimon, B.S.; Marimon, B.-H.; Coronado, E.N.H.; Feldpausch, T.R.; Duque, A.; Zartman, C.E.; Arboleda, N.C.; Killeen, T.J.; Mostacedo, B.; Vasquez, R.; Schöngart, J.; Assis, R.L.; Medeiros, M.B.; Simon, M.F.; Andrade, A.; Laurance, W.F.; Camargo, J.L.; Demarchi, L.O.; Laurance, S.G.W.; de Sousa Farias, E.; Nascimento, H.E.M.; Revilla, J.D.C.; Quaresma, A.; Costa, F.R.C.; Vieira, I.C.G.; Cintra, B.B.L.; Castellanos, H.; Brienen, R.; Stevenson, P.R.; Feitosa, Y.; Duivenvoorden, J.F.; Aymard C., G.A.; Mogollón, H.F.; Targhetta, N.; Comiskey, J.A.; Vicentini, A.; Lopes, A.; Damasco, G.; Dávila, N.; García-Villacorta, R.; Levis, C.; Schietti, J.; Souza, P.; Emilio, T.; Alonso, A.; Neill, D.; Dallmeier, F.; Ferreira, L.V.; Araujo-Murakami, A.; Praia, D.; do Amaral, D.D.; Carvalho, F.A.; de Souza, F.C.; Feeley, K.; Arroyo, L.; Pansonato, M.P.; Gribel, R.; Villa, B.; Licona, J.C.; Fine, P.V.A.; Cerón, C.; Baraloto, C.; Jimenez, E.M.; Stropp, J.; Engel, J.; Silveira, M.; Mora, M.C.P.; Petronelli, P.; Maas, P.; Thomas-Caesar, R.; Henkel, T.W.; Daly, D.; Paredes, M.R.; Baker, T.R.; Fuentes, A.; Peres, C.A.; Chave, J.; Pena, J.L.M.; Dexter, K.G.; Silman, M.R.; Jørgensen, P.M.; Pennington, T.; Di Fiore, A.; Valverde, F.C.; Phillips, J.F.; Rivas-Torres, G.; von Hildebrand, P.; van Andel, T.R.; Ruschel, A.R.; Prieto, A.; Rudas, A.; Hoffman, B.; Vela, C.I.A.; Barbosa, E.M.; Zent, E.L.; Gonzales, G.P.G.; Doza, H.P.D.; de Andrade Miranda, I.P.; Guillaumet, J.-L.; Pinto, L.F.M.; de Matos Bonates, L.C.; Silva, N.; Gómez, R.Z.; Zent, S.; Gonzales, T.; Vos, V.A.; Malhi, Y.; Oliveira, A.A.; Cano, A.; Albuquerque, B.W.; Vriesendorp, C.; Correa, D.F.; Torre, E.V.; van der Heijden, G.; Ramirez-Angulo, H.; Ramos, J.F.; Young, K.R.; Rocha, M.; Nascimento, M.T.; Medina, M.N.U.; Tirado, M.; Wang, O.; Sierra, R.; Torres-Lezama, A.; Mendoza, C.; Ferreira, C.; Baider, C.; Villarroel, D.; Balslev, H.; Mesones, I.; Giraldo, L.E.U.; Casas, L.F.; Reategui, M.A.A.; Linares-Palomino, R.; Zagt, R.; Cárdenas, S.; Farfan-Rios, W.; Sampaio, A.F.; Pauletto, D.; Sandoval, E.H.V.; Arevalo, F.R.; Huamantupa-Chuquimaco, I.; Garcia-Cabrera, K.; Hernandez, L.; Gamarra, L.V.; Alexiades, M.N.; Pansini, S.; Cuenca, W.P.; Milliken, W.; Ricardo, J.; Lopez-Gonzalez, G.; Pos, E.; ter Steege, H. pdf  doi
openurl 
  Title Species Distribution Modelling: Contrasting presence-only models with plot abundance data Type Journal Article
  Year 2018 Publication Scientific Reports Abbreviated Journal Sci. Rep.  
  Volume 8 Issue Pages 1003  
  Keywords  
  Abstract Species 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.  
  Address  
  Corporate Author Thesis  
  Publisher Place of Publication Editor  
  Language Summary Language Original Title  
  Series Editor Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition  
  ISSN 2045-2322 ISBN Medium  
  Area Expedition Conference  
  Notes Approved no  
  Call Number EcoFoG @ webmaster @ Gomes2018 Serial 789  
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