Species Distribution Modelling: Contrasting presence-only models with plot abundance data.
Vitor H F GomesStéphanie D IJffNiels RaesIêda Leão AmaralRafael P SalomãoLuiz de Souza CoelhoFrancisca Dionízia de Almeida MatosCarolina V CastilhoDiogenes de Andrade Lima FilhoDairon Cárdenas LópezJuan Ernesto GuevaraWilliam E MagnussonOliver L PhillipsFlorian WittmannMarcelo de Jesus Veiga CarimMaria Pires MartinsMariana Victória IrumeDaniel SabatierJean-François MolinoOlaf S BánkiJosé Renan da Silva GuimarãesNigel C A PitmanMaria Teresa Fernandez PiedadeAbel Monteagudo MendozaBruno Garcia LuizeEduardo Martins VenticinqueEvlyn Márcia Moraes de Leão NovoPercy Núñez VargasThiago Sanna Freire SilvaAngelo Gilberto ManzattoJohn TerborghNeidiane Farias Costa ReisJuan Carlos MonteroKatia Regina CasulaBeatriz S MarimonBen-Hur MarimonEuridice N Honorio CoronadoTed R FeldpauschAlvaro DuqueCharles Eugene ZartmanNicolás Castaño ArboledaTimothy J KilleenBonifacio MostacedoRodolfo VasquezJochen SchöngartRafael L AssisMarcelo Brilhante MedeirosMarcelo Fragomeni SimonAna AndradeWilliam F LauranceJosé Luís CamargoLayon O DemarchiSusan G W LauranceEmanuelle de Sousa FariasHenrique Eduardo Mendonça NascimentoJuan David Cardenas RevillaAdriano QuaresmaFlavia R C CostaIma Célia Guimarães VieiraBruno Barçante Ladvocat CintraHernán CastellanosRoel BrienenPablo R StevensonYuri FeitosaJoost F DuivenvoordenGerardo A Aymard CHugo F MogollónNatalia TarghettaJames A ComiskeyAlberto VicentiniAline LopesGabriel DamascoNállarett DávilaRoosevelt García-VillacortaCarolina LevisJuliana SchiettiPriscila SouzaThaise EmilioAlfonso AlonsoDavid NeillFrancisco DallmeierLeandro Valle FerreiraAlejandro Araujo-MurakamiDaniel PraiaDário Dantas do AmaralFernanda Antunes CarvalhoFernanda Coelho de SouzaKenneth FeeleyLuzmila ArroyoMarcelo Petratti PansonatoRogerio GribelBoris VillaJuan Carlos LiconaPaul V A FineCarlos CerónChris BaralotoEliana M JimenezJuliana StroppJulien EngelMarcos SilveiraMaria Cristina Peñuela MoraPascal PetronelliPaul MaasRaquel Thomas-CaesarTerry W HenkelDoug DalyMarcos Ríos ParedesTim R BakerAlfredo FuentesCarlos A PeresJerome ChaveJose Luis Marcelo PenaKyle G DexterMiles R SilmanPeter Møller JørgensenToby PenningtonAnthony Di FioreFernando Cornejo ValverdeJuan Fernando PhillipsGonzalo Rivas-TorresPatricio von HildebrandTinde R van AndelAdemir R RuschelAdriana PrietoAgustín RudasBruce HoffmanCésar I A VelaEdelcilio Marques BarbosaEgleé L ZentGeorge Pepe Gallardo GonzalesHilda Paulette Dávila DozaIres Paula de Andrade MirandaJean-Louis GuillaumetLinder Felipe Mozombite PintoLuiz Carlos de Matos BonatesNatalino SilvaRicardo Zárate GómezStanford ZentTherany GonzalesVincent A VosYadvinder MalhiAlexandre A OliveiraAngela CanoBianca Weiss AlbuquerqueCorine VriesendorpDiego Felipe CorreaEmilio Vilanova TorreGeertje van der HeijdenHirma Ramirez-AnguloJosé Ferreira RamosKenneth R YoungMaira RochaMarcelo Trindade NascimentoMaria Natalia Umaña MedinaMilton TiradoOphelia WangRodrigo SierraArmando Torres-LezamaCasimiro MendozaCid FerreiraCláudia BaiderDaniel VillarroelHenrik BalslevItalo MesonesLigia Estela Urrego GiraldoLuisa Fernanda CasasManuel Augusto Ahuite ReateguiReynaldo Linares-PalominoRoderick ZagtSasha CárdenasWilliam Farfan-RiosAdeilza Felipe SampaioDaniela PaulettoElvis H Valderrama SandovalFreddy Ramirez ArevaloIsau Huamantupa-ChuquimacoKarina Garcia-CabreraLionel HernandezLuis Valenzuela GamarraMiguel N AlexiadesSusamar PansiniWalter Palacios CuencaWilliam MillikenJoana RicardoGabriela Lopez-GonzalezEdwin PosHans Ter SteegePublished in: Scientific reports (2018)
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.