Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12530/42395
Title: Species Distribution Modelling: Contrasting presence-only models with plot abundance data.
Authors: 
Gomes, Vitor H F
IJff, Stéphanie D
Raes, Niels
Amaral, Iêda Leão
Salomão, Rafael P
de Souza Coelho, Luiz
de Almeida Matos, Francisca Dionízia
Castilho, Carolina V
de Andrade Lima Filho, Diogenes
López, Dairon Cárdenas
Guevara, Juan Ernesto
Magnusson, William E
Phillips, Oliver L
Wittmann, Florian
de Jesus Veiga Carim, Marcelo
Martins, Maria Pires
Irume, Mariana Victória
Sabatier, Daniel
Molino, Jean-François
Bánki, Olaf S
da Silva Guimarães, José Renan
Pitman, Nigel C A
Piedade, Maria Teresa Fernandez
Mendoza, Abel Monteagudo
Luize, Bruno Garcia
Venticinque, Eduardo Martins
de Leão Novo, Evlyn Márcia Moraes
Vargas, Percy Núñez
Silva, Thiago Sanna Freire
Manzatto, Angelo Gilberto
Terborgh, John
Reis, Neidiane Farias Costa
Montero, Juan Carlos
Casula, Katia Regina
Marimon, Beatriz S
Marimon, Ben-Hur
Coronado, Euridice N Honorio
Feldpausch, Ted R
Duque, Alvaro
Zartman, Charles Eugene
Arboleda, Nicolás Castaño
Killeen, Timothy J
Mostacedo, Bonifacio
Vasquez, Rodolfo
Schöngart, Jochen
Assis, Rafael L
Medeiros, Marcelo Brilhante
Simon, Marcelo Fragomeni
Andrade, Ana
Laurance, William F
Camargo, José Luís
Demarchi, Layon O
Laurance, Susan G W
de Sousa Farias, Emanuelle
Nascimento, Henrique Eduardo Mendonça
Revilla, Juan David Cardenas
Quaresma, Adriano
Costa, Flavia R C
Vieira, Ima Célia Guimarães
Cintra, Bruno Barçante Ladvocat
Castellanos, Hernán
Brienen, Roel
Stevenson, Pablo R
Feitosa, Yuri
Duivenvoorden, Joost F
Aymard C, Gerardo A
Mogollón, Hugo F
Targhetta, Natalia
Comiskey, James A
Vicentini, Alberto
Lopes, Aline
Damasco, Gabriel
Dávila, Nállarett
García-Villacorta, Roosevelt
Levis, Carolina
Schietti, Juliana
Souza, Priscila
Emilio, Thaise
Alonso, Alfonso
Neill, David
Dallmeier, Francisco
Ferreira, Leandro Valle
Araujo-Murakami, Alejandro
Praia, Daniel
do Amaral, Dário Dantas
Carvalho, Fernanda Antunes
de Souza, Fernanda Coelho
Feeley, Kenneth
Arroyo, Luzmila
Pansonato, Marcelo Petratti
Gribel, Rogerio
Villa, Boris
Licona, Juan Carlos
Fine, Paul V A
Cerón, Carlos
Baraloto, Chris
Jimenez, Eliana M
Stropp, Juliana
Engel, Julien
Silveira, Marcos
Mora, Maria Cristina Peñuela
Petronelli, Pascal
Maas, Paul
Thomas-Caesar, Raquel
Henkel, Terry W
Daly, Doug
Paredes, Marcos Ríos
Baker, Tim R
Fuentes, Alfredo
Peres, Carlos A
Chave, Jerome
Pena, Jose Luis Marcelo
Dexter, Kyle G
Silman, Miles R
Jørgensen, Peter Møller
Pennington, Toby
Di Fiore, Anthony
Valverde, Fernando Cornejo
Phillips, Juan Fernando
Rivas-Torres, Gonzalo
von Hildebrand, Patricio
van Andel, Tinde R
Ruschel, Ademir R
Prieto, Adriana
Rudas, Agustín
Hoffman, Bruce
Vela, César I A
Barbosa, Edelcilio Marques
Zent, Egleé L
Gonzales, George Pepe Gallardo
Doza, Hilda Paulette Dávila
de Andrade Miranda, Ires Paula
Guillaumet, Jean-Louis
Pinto, Linder Felipe Mozombite
de Matos Bonates, Luiz Carlos
Silva, Natalino
Gómez, Ricardo Zárate
Zent, Stanford
Gonzales, Therany
Vos, Vincent A
Malhi, Yadvinder
Oliveira, Alexandre A
Cano, Angela
Albuquerque, Bianca Weiss
Vriesendorp, Corine
Correa, Diego Felipe
Torre, Emilio Vilanova
van der Heijden, Geertje
Ramirez-Angulo, Hirma
Ramos, José Ferreira
Young, Kenneth R
Rocha, Maira
Nascimento, Marcelo Trindade
Medina, Maria Natalia Umaña
Tirado, Milton
Wang, Ophelia
Sierra, Rodrigo
Torres-Lezama, Armando
Mendoza, Casimiro
Ferreira, Cid
Baider, Cláudia
Villarroel, Daniel
Balslev, Henrik
Mesones, Italo
Giraldo, Ligia Estela Urrego
Casas, Luisa Fernanda
Reategui, Manuel Augusto Ahuite
Linares-Palomino, Reynaldo
Zagt, Roderick
Cárdenas, Sasha
Farfan-Rios, William
Sampaio, Adeilza Felipe
Pauletto, Daniela
Sandoval, Elvis H Valderrama
Arevalo, Freddy Ramirez
Huamantupa-Chuquimaco, Isau
Garcia-Cabrera, Karina
Hernandez, Lionel
Gamarra, Luis Valenzuela
Alexiades, Miguel N
Pansini, Susamar
Cuenca, Walter Palacios
Milliken, William
Ricardo, Joana
Lopez-Gonzalez, Gabriela
Pos, Edwin
Ter Steege, Hans
Mesh: 
Issue Date: 2018
Citation: Sci Rep.2018 01;(8)1:1003
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.
PMID: 29343741
URI: https://hdl.handle.net/20.500.12530/42395
Rights: openAccess
Appears in Collections:Fundaciones e Institutos de Investigación > IIS H. U. La Paz > Artículos

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