Henrik Balslev

TY - JOUR

T1 - Species Distribution Modelling

T2 - Contrasting presence-only models with plot abundance data

AU - Gomes, Vitor H. F.

AU - Ijff, Stephanie D.

AU - Raes, Niels

AU - Amaral, Ieda Leao

AU - Salomao, Rafael P.

AU - Coelho, Luiz de Souza

AU - de Almeida Matos, Francisca Dionizia

AU - Castilho, Carolina V.

AU - Lima Filho, Diogenes de Andrade

AU - Cardenas Lopez, Dairon

AU - Ernesto Guevara, Juan

AU - Magnusson, William E.

AU - Phillips, Oliver L.

AU - Wittmann, Florian

AU - Veiga Carim, Marcelo de Jesus

AU - Martins, Maria Pires

AU - Irume, Mariana Victoria

AU - Sabatier, Daniel

AU - Molino, Jean-Francois

AU - Banki, Olaf S.

AU - da Silva Guimaraes, Jose Renan

AU - Pitman, Nigel C. A.

AU - Fernandez Piedade, Maria Teresa

AU - Mendoza, Abel Monteagudo

AU - Luize, Bruno Garcia

AU - Venticinque, Eduardo Martins

AU - Moraes de Leao Novo, Evlyn Marcia

AU - Vargas, Percy Nunez

AU - Freire Silva, Thiago Sanna

AU - Manzatto, Angelo Gilberto

AU - Terborgh, John

AU - Costa Reis, Neidiane Farias

AU - Montero, Juan Carlos

AU - Casula, Katia Regina

AU - Marimon, Beatriz S.

AU - Marimon, Ben-Hur

AU - Honorio Coronado, Euridice N.

AU - Feldpausch, Ted R.

AU - Duque, Alvaro

AU - Zartman, Charles Eugene

AU - Arboleda, Nicolas Castano

AU - Killeen, Timothy J.

AU - Mostacedo, Bonifacio

AU - Vasquez, Rodolfo

AU - Schongart, Jochen

AU - Assis, Rafael L.

AU - Medeiros, Marcelo Brilhante

AU - Simon, Marcelo Fragomeni

AU - Andrade, Ana

AU - Laurance, William F.

AU - Camargo, Jose Luis

AU - Demarchi, Layon O.

AU - Laurance, Susan G. W.

AU - Farias, Emanuelle de Sousa

AU - Mendonca Nascimento, Henrique Eduardo

AU - Cardenas Revilla, Juan David

AU - Quaresma, Adriano

AU - Costa, Flavia R. C.

AU - Guimaraes Vieira, Ima Celia

AU - Ladvocat Cintra, Bruno Barcante

AU - Castellanos, Hernan

AU - Brienen, Roel

AU - Stevenson, Pablo R.

AU - Feitosa, Yuri

AU - Duivenvoorden, Joost F.

AU - Aymard, Gerardo A.

AU - Mogollon, Hugo F.

AU - Targhetta, Natalia

AU - Comiskey, James A.

AU - Vicentini, Alberto

AU - Lopes, Aline

AU - Damasco, Gabriel

AU - Davila, Nallarett

AU - Garcia-Villacorta, Roosevelt

AU - Levis, Carolina

AU - Schietti, Juliana

AU - Souza, Priscila

AU - Emilio, Thaise

AU - Alonso, Alfonso

AU - Neill, David

AU - Dallmeier, Francisco

AU - Ferreira, Leandro Valle

AU - Araujo-Murakami, Alejandro

AU - Praia, Daniel

AU - Do Amaral, Dario Dantas

AU - Carvalho, Fernanda Antunes

AU - de Souza, Fernanda Coelho

AU - Feeley, Kenneth

AU - Arroyo, Luzmila

AU - Pansonato, Marcelo Petratti

AU - Gribel, Rogerio

AU - Villa, Boris

AU - Licona, Juan Carlos

AU - Fine, Paul V. A.

AU - Ceron, Carlos

AU - Baraloto, Chris

AU - Jimenez, Eliana M.

AU - Stropp, Juliana

AU - Engel, Julien

AU - Silveira, Marcos

AU - Penuela Mora, Maria Cristina

AU - Petronelli, Pascal

AU - Maas, Paul

AU - Thomas-Caesar, Raquel

AU - Henkel, Terry W.

AU - Daly, Doug

AU - Paredes, Marcos Rios

AU - Baker, Tim R.

AU - Fuentes, Alfredo

AU - Peres, Carlos A.

AU - Chave, Jerome

AU - Marcelo Pena, Jose Luis

AU - Dexter, Kyle G.

AU - Silman, Miles R.

AU - Jorgensen, Peter Moller

AU - Pennington, Toby

AU - Di Fiore, Anthony

AU - Valverde, Fernando Cornejo

AU - Phillips, Juan Fernando

AU - Rivas-Torres, Gonzalo

AU - Von Hildebrand, Patricio

AU - Van Andel, Tinde R.

AU - Ruschel, Ademir R.

AU - Prieto, Adriana

AU - Rudas, Agustin

AU - Hoffman, Bruce

AU - Vela, Cesar I. A.

AU - Barbosa, Edelcilio Marques

AU - Zent, Eglee L.

AU - Gallardo Gonzales, George Pepe

AU - Davila Doza, Hilda Paulette

AU - De Andrade Miranda, Ires Paula

AU - Guillaumet, Jean-Louis

AU - Mozombite Pinto, Linder Felipe

AU - De Matos Bonates, Luiz Carlos

AU - Silva, Natalino

AU - Gomez, Ricardo Zarate

AU - Zent, Stanford

AU - Gonzales, Therany

AU - Vos, Vincent A.

AU - Malhi, Yadvinder

AU - Oliveira, Alexandre A.

AU - Cano, Angela

AU - Albuquerque, Bianca Weiss

AU - Vriesendorp, Corine

AU - Correa, Diego Felipe

AU - Torre, Emilio Vilanova

AU - Van der Heijden, Geertje

AU - Ramirez-Angulo, Hirma

AU - Ramos, Jose Ferreira

AU - Young, Kenneth R.

AU - Rocha, Maira

AU - Nascimento, Marcelo Trindade

AU - Umana Medina, Maria Natalia

AU - Tirado, Milton

AU - Wang, Ophelia

AU - Sierra, Rodrigo

AU - Torres-Lezama, Armando

AU - Mendoza, Casimiro

AU - Ferreira, Cid

AU - Baider, Claudia

AU - Villarroel, Daniel

AU - Balslev, Henrik

AU - Mesones, Italo

AU - Urrego Giraldo, Ligia Estela

AU - Casas, Luisa Fernanda

AU - Ahuite Reategui, Manuel Augusto

AU - Linares-Palomino, Reynaldo

AU - Zagt, Roderick

AU - Cardenas, Sasha

AU - Farfan-Rios, William

AU - Sampaio, Adeilza Felipe

AU - Pauletto, Daniela

AU - Valderrama Sandoval, Elvis H.

AU - Arevalo, Freddy Ramirez

AU - Huamantupa-Chuquimaco, Isau

AU - Garcia-Cabrera, Karina

AU - Hernandez, Lionel

AU - Gamarra, Luis Valenzuela

AU - Alexiades, Miguel N.

AU - Pansini, Susamar

AU - Cuenca, Walter Palacios

AU - Milliken, William

AU - Ricardo, Joana

AU - Lopez-Gonzalez, Gabriela

AU - Pos, Edwin

AU - ter Steege, Hans

PY - 2018/1/17

Y1 - 2018/1/17

N2 - 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.

AB - 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.

KW - ECOLOGICAL NICHE MODELS

KW - GEOGRAPHIC DISTRIBUTIONS

KW - ABSENCE DATA

KW - BIAS

KW - PERFORMANCE

KW - PREDICTION

KW - THRESHOLDS

KW - DIVERSITY

KW - PATTERN

KW - MAXENT

U2 - 10.1038/s41598-017-18927-1

DO - 10.1038/s41598-017-18927-1

M3 - Journal article

C2 - 29343741

VL - 8

JO - Scientific Reports

JF - Scientific Reports

SN - 2045-2322

M1 - 1003

ER -