Title: | Species distribution modelling: contrasting presence-only models with plot abundance data |
Authors: | Gomes, V. H. F. Ijff, S. D. Raes, N. Amaral, I. L. Salomão, R. P. Coelho, L. D. S. Matos, F. D. D. A. Castilho, C. V. Filho, D. D. A. L. López, D. C. Guevara, J. E. Demarchi, L. O. Garcia-Cabrera, K. Rivas-Torres, G. Ramirez-Angulo, H. Rocha, M. Assis, R. L. Malhi, Y. Heijden, Gregory van der Vos, Vincent Correa, D. F. Gonzales, T. Albuquerque, B. W. Oliveira, A. A. Carim, M. D. J. V. López González, Gabriela Alexiaides, Miguel Arevalo, F. R. Sabatier, D. Bánki, O. S. Pitman, Nigel Mora, M. C. P. Cerón, C. Hildebrand, P. Von Andel, T. R. van Ruschel, A. R. Prieto, Adriana Rudas, A. Hoffman, B. Vela, César I. A. Barbosa, E. M. Zent, E. L. Gonzales, G. P. G. Reis, N. F. C. Terborgh, J. Manzatto, A. G. Silva, T. S. F. Núñez Vargas, Percy Novo, E. M. M. D. L. Venticinque, E. M. Luize, B. G. Mendoza, A. M. Piedade, M. T. F. Guimarães, J. R. D. S. Feitosa, Y. Molino, J. F. Mogollón, H. F. Pos, E. Vicentini, A. Martins, M. P. Dávila Cardozo, Nallarett Nascimento, M. T. Schietti, J. Wang, O. Neill, D. Targhetta, N. Mendoza, C. Praia, D. Lopes, A. Villarroel, D. Arroyo, L. García Villacorta, Roosevelt Casas, L. F. Fine, Paul Emilio, T. Cárdenas, S. Guillaumet, J. -L. Silveira, Marcos Ferreira, L. V. Sandoval, E. H. V. Pinto, L. F. M. Daly, Douglas C. Carvalho, F. A. Valenzuela Gamarra, Luis Bonates, L. C. D. M. Souza, P. Gribel, R. Revilla, J. D. C. Ricardo, J. Silva, N. Dallmeier, Francisco Baraloto, Christopher Costa, F. R. C. Wittmann, F. Gómez, R. Z. Do Amaral, D. D. Petronelli, P. Cintra, B. B. L. Stevenson, Pablo Doza, H. P .D. Zent, S. Pansonato, M. P. Montero, J. C. Brienen, Roel J. W. Duivenvoorden, J. F. Miranda, I. P. D. A. Farias, E. D. S. Castellanos, H. Laurance, S. G. W. Vieira, I. C. G. Quaresma, A. Nascimento, H. E. M. Thomas-Caesar, R. Stropp, Juliana Licona, J. C. Feeley, K. Ríos Paredes, Marcos Fuentes, A. Magnusson, W. E. Cuenca, W. P. Casula, K. R. Marimon, B. S. Marimon, B. H. Honorio Coronado, Eurídice N. Feldpausch, Ted R. Duque, A. Zartman, C. E. Arboleda, N. C. Killeen, T. J. Mostacedo, Bonifacio Phillips, Juan Fernando Valverde, F. C. Di Fiore, Anthony Pennington, T. Jørgensen, P. Mø. Silman, Miles Dexter, Kyle Pena, J. L. M. Chave, Jerome Peres, C. A. Baker, Timothy R. Young, K. R. Engel, J. Medina, M. N. U. Henkel, T. W. Sierra, Rodrigo Aymard, G. A. C. Ferreira, C. Comiskey, James A. Balslev, Henrik Damasco, G. Reategui, M. A. A. Tirado, Milton Levis, C. Farfan-Rios, W. Torres-Lezama, Armando Alonso, Alfonso Huamantupa Chuquimaco, Isau Baider, C. Araujo Murakami, Alejandro Pansini, S. Giraldo, L. E. U. De Souza, F. C. Medeiros, M. B. Ter Steege, H. Zagt, R. Villa, B. Simon, M. F. Irume, M. V. Pauletto, D. Jimenez, E. M. Andrade, A. Mesones, I. Hernandez, L. Cano, Angela Maas, P. Laurance, W. F. Linares-Palomino, R. Milliken, W. Vriesendorp, Corine Vásquez Martínez, Rodolfo Camargo, José L. C. Sampaio, A. F. Phillips, Oliver L. Torre, E. V. Ramos, J. F. Schöngart, J. |
Keywords: | Ecología Conservación Biodiversidad Árboles forestales Amazonía Modelo de distribución de especies |
Issue Date: | 17 |
Publisher: | Springer Nature |
Series/Report no.: | Scientific Reports; 2018(8):1003 |
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. |
URI: | http://dx.doi.org/10.1038/s41598-017-18927-1 |
ISSN: | 2045-2322 |
Appears in Collections: | Artículos en revistas indexadas
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