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Abstract:

Studies on species distribution models evaluate the reliability and discrimination capacity of the models, while the accuracy of the spatial component of the data is often disregarded. The objective of our work was to design and validate an index, the Georeferencing Reliability Index (GRI), to measure and compare quality of different databases containing presence data of Aotus species. The database of A. lemurinus showed the highest georeferencing accuracy (GRI = 0.608) and that of A. zonalis the lowest (GRI = 0.167). Results indicated that there is poor-quality spatial information data for Aotus spp. Therefore, the distribution areas of all species should be more accurately established to evaluate whether they are at conservation risk. In addition, the index can be used to select the most accurate spatial data for constructing a species distribution model. Finally, we strongly believe that the GRI may provide accurate, up-to-date information essential for wildlife management programs. © Finnish Zoological and Botanical Publishing Board 2015.

Registro:

Documento: Artículo
Título:Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index
Autor:Alvarez-Gonçalvez, C.V.; Mudry, M.D.; Nieves, M.
Filiación:Departamento de Ecología, Genética y Evolución, Facultad de Ciencias Exactas y Naturales (DEGE-FCEyN), Universidad de Buenos Aires (UBA), Intendente Güiraldes 2160, Buenos Aires, C1428EHA, Argentina
Instituto de Ecología, Genética y Evolución de Buenos Aires, Consejo Nacional de Investigaciones Científicas y Técnicas (IEGEBA-CONICET), Intendente Güiraldes 2160, Buenos Aires, C1428EHA, Argentina
Palabras clave:accuracy assessment; data set; database; geographical distribution; nature conservation; primate; wildlife management; Aotus lemurinus
Año:2015
Volumen:52
Número:3
Página de inicio:177
Página de fin:185
DOI: http://dx.doi.org/10.5735/086.052.0305
Título revista:Annales Zoologici Fennici
Título revista abreviado:Ann. Zool. Fenn.
ISSN:0003455X
CODEN:AZOFA
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0003455X_v52_n3_p177_AlvarezGoncalvez

Referencias:

  • Ahlqvist, O., Keukelaar, J., Oukbir, K., Rough classification and accuracy assessment (2000) International Journal of Geographical Information Science, 14, pp. 475-496
  • Alvarez-Gonalvez, C.V., Nieves, M., Mudry, M.D., (2013) Biogeografía de Aotus (Primates) y Modelos de Distribución de Especies, , Editorial Académica Española. Saarbrücken, Deutschland
  • August, P.V., Carraway, L.N., Cato, P.S., Gannon, W.L., Lawrence, M.A., Slade, N.A., Sudman, P.D., Woodward, S.M., (1996) Documentation Standards for Authomatic Data Processing in Mammalogy. Version 20, , American Society of Mammalogists Committee on Information Retrieval Suzanne McLaren
  • Bauzer-Medeiros, C., Pires, F., Databases for gis (1994) Sigmod Record, 23, pp. 107-115
  • Beard, K., Roles of meta-information in uncertainty managment (2001) Spatial Uncertainty in Ecology, pp. 363-378. , Hunsaker, C. T., Goodchild, M. F., Friedl, M. A. & Case, T. J. (eds.) Springer
  • Benito De Pando, B.M., (2008) Modelos de Distribución de Especies Aplicados A Estudios de Flora Amenazada (Guión de Prácticas), , Unidad de Conservación Vegetal. Departamento de Botánica Universidad de Granada
  • Boakes, E.H., McGowan, P.J.K., Fuller, R.A., Ding, C.Q., Clark, N.E., Oconnor, K., Mace, G.M., Distorted views of biodiversity: Spatial and temporal bias in species occurrence data (2010) PLoS Biol, 8 (6), p. e1000385
  • Boubli, J.P., Lima, M.G., Modelling the Geographical Distribution & Fundamental Niches of Cacajao spp. and Chiropotes israelita en northwestern Amazonia via a Maximum Entropy Algorithm (2009) International Journal of Primatology, 30, pp. 217-228
  • Brito, J.C., Fahd, S., Geniez, P., Martinez-Freiría, F., Pleguezuelos, J.M., Trape, J.F., Biogeography and conservation of viperids from North-West Africa: An application of ecological niche-based models and GIS (2011) Journal of Arid Environments, 75, pp. 1029-1037
  • Buisson, L., Thuiller, W., Casajuss, N., Lek, S., Grenouillet, G., Uncertainty in ensemble forecasting of species distribution (2010) Global Change Biology, 16, pp. 1145-1157
  • Cabrera, A.L., Willink, A., (1973) Biogeografía de América Latina, , Programa de Desarrollo Científico y Tecnológico. Secretaría de General de la OEA, Washington
  • Campos, F.A., Jack, K.M., A potential distribution model and conservation plan for the critically endangered Ecuadorian Capuchin, Cebus albifrons aequatorialis (2013) International Journal of Primatology, 34, pp. 899-916
  • Cornejo, F.M., Aquino, R., Jiménez, C., Notes on the natural history, distribution and conservation status of the Andean Night Monkey, Aotus miconax Thomas, 1927 (2008) Primate Conservation, 23, pp. 1-4
  • Defler, T.R., (2010) Historia Natural de Los Primates Colombianos, , Universidad Nacional de Colombia. Facultad de Ciencias. Departamento de Biología, Bogotá
  • Defler, T.R., Bueno, M.L., Aotus diversity and the species problem (2007) Primate Conservation, 22, pp. 55-70
  • Desrochers, A., Bélisle, M., Morand-Ferron, J., Bourque, J., Integrating GIS and homming experiments to study avian movements costs (2011) Landscape Ecology, 26, pp. 47-58
  • Elzinga, L.C., Salzer, D.W., Willoughby, J.W., Gibbs, J.P., (2001) Monitoring Plant and Animal Populations, , Blackwell Science, Malden
  • Elith, J., Leathwick, J., Predicting species distributions from museums and herbarium records using multiresponse models fitted with multivariate adaptive regression splines (2007) Diversity and Distributions, 13, pp. 265-275
  • Elith, J., Leathwick, J.R., Species distribution models: Ecological explanation and prediction across space and time (2009) Annual Review of Ecology, Evolution, and Systematics, 40, pp. 677-697
  • Finn, J.T., Use of the average mutual information index in evaluating classification error and consistency (1993) International Journal of Geographical Information Systems, 7, pp. 349-366
  • Ford, S.M., Evolution of sexual dimorphism in body weight in platyrrhines (1994) American Journal of Primatology, 34, pp. 221-244
  • García-Milagros, E., Funk, V., Improving the use of information from museum specimens: Using Google Earth© to georeference Guiana Shield specimens in the US National Herbarium (2010) Frontiers of Biogeography, 2, pp. 71-77
  • Graham, C.H., Elith, J., Hijmans, R.J., Guisan, A., Peterson, A.T., Loiselle, B.A., Anderson, R.P., Zimmerman, N., The influence of spatial errors in species occurrence data used in distribution models (2008) Journal of Applied Ecology, 45, pp. 239-247
  • Guo, Q., Liu, Y., Wieczorek, J., Georeferencing locality descriptions and computing associated uncertainty using a probabilistic approach (2008) International Journal of Geographical Information Science, 22, pp. 1067-1090
  • Hao, C., Fan, R., Ribeiro, M.C., Tan, L., Wu, H., Yang, J., Zheng, W., Yu, H., Modelling the potential geographic distribution of black pepper (Piper nigrum) in Asia using GIS tools (2012) Journal of Integrative Agriculture, 11, pp. 593-599
  • Hershkovitz, P., Two new species of Night Monkeys, Genus Aotus (Cebidae, Platyrrhini): A preliminary report of Aotus Taxonomy (1983) American Journal of Primatology, 4, pp. 209-243
  • (2011) International Union for Conservation of Nature Red List, , http://www.iucnredlist.org/, IUCN Red List
  • Jager, H.I., King, A.W., Spatial uncertainty and ecological models (2004) Ecosystems, 7, pp. 841-847
  • Liu, C., White, M., Newell, G., Measuring the accuracy of species distribution models (2009) 18th World IMACS/ MODSIM Congress, Cairns, Australia, , http://mssanz.org.au/modsim09
  • Lobo, J.M., Hortal, J., Modelos predictivos: Un atajo para describir la distribución de la diversidad biológica (2003) Ecosistemas, , http://www.aeet.org/ecosistemas/031/investigacion3.htm, 2003/1
  • Lobo, J.M., Jiménez-Valverde, A., Real, R., AUC: Is leading measure of the performance of predictive distribution models (2008) Global Ecology and Biogeography, 17, pp. 145-151
  • Lobo, J.M., Tognelli, M.F., Exploring the effects of quantity and location of pseudo-Absences and sampling biases on the performance of distribution models with limited point occurrence data (2011) Journal for Nature Conservation, 19, pp. 1-7
  • López-Arévalo, H.F., Gallinab, S., Landgravec, R., Martínez-Meyerd, E., Muñoz-Villerse, L.E., Local knowledge and species distribution models contribution towards mammalian conservation (2011) Biological Conservation, 144, pp. 1451-1463
  • Mantilla-Meluk, H., Giménez-Ortega, A.M., Revisiting the taxonomic status and ecological partitioning of Night Monkeys genus Aotus in Western Colombia with note on Aotus zonalis Goldman 1914 (2011) Revista de Biodiversidad Neotropical, 1, pp. 28-37
  • McKinney, J.A., Hoffmayer, E.R., Wu, W., Fulford, R., Hendon, J.M., Feeding habitat the whale shark Rhincodon typus in the northern Gulf of Mexico determined using species distribution modelling (2012) Marine Ecology Progress Series, 458, pp. 199-211
  • Menezes, A.N., Bonvicino, C.R., Seuánez, H.N., Identification, classification and evolution of owl monkeys (Aotus, Illiger 1811) (2010) BMC Evolutionary Biology
  • Mercado, N.I., Wallace, R.B., Distribución de Primates en Bolivia y áreas prioritarias para su conservación (2010) Tropical Conservation Science, 3, pp. 200-217
  • Newbold, T., Applications and limitation of museum data for conservation and ecology, with particular attention to species distribution models (2010) Progress in Physical Geography, 34, pp. 3-22
  • Norman, S.A., Huggins, J., Carpenter, T.E., Case, J.T., Lambourn, D.M., Rice, J., Calambokids, J., Klope, M., The application of GIS and spatiotemporal analyses to investigations of unusual marine mammal stranding and mortality events (2012) Marine Mammal Science, 28, pp. E251-E266
  • Ortiz-Martinez, I., Rico-Gray, V., Martínez-Meyer, E., Predicted and verified distribution of Ateles geoffroyi and Allouatta palliata in Oaxaca, México (2008) Primates Journal of Primatology, 49, pp. 186-194
  • Plautz, H.L., Gonalves, E.C., Ferrari, S.F., Schneider, M.P.C., Silva, A., Evolutionary inferences on the diversity of the genus Aotus (Platyrrhini, Cebidae) from mitochondrial cytochrome c oxidase subunit II gene sequences (2009) Molecular Phylogenetics and Evolution, pp. 382-387
  • Pliscoff, P., Fuentes-Castillo, T., Modelación de la distribución de especies y ecosistemas en el tiempo y en el espacio: Una revisión de las nuevas herramientas y enfoques disponibles (2011) Revista de Geografía Norte Grande, 48, pp. 61-79
  • Pontius, R.G., Quantification error versus location error in comparison of categorical maps (2000) Photogrammetric Engineering and Remote Sensing, 66, pp. 1011-1016
  • Rocchini, D., Hortal, J., Lengyel, J.M., Jiménez-Valverde, A., Ricotta, C., Baccaro, G., Chiarucci, A., Accounting for uncertainty when mapping species distributions: The need for maps of ignorance (2011) Progress in Physical Geography, 35, pp. 211-226
  • Rodríguez-Castañeda, G., Hof, A.R., Jansson, R., Harding, L.E., Predicting the fate of biodiversity using species distribution models: Enhancing model comparability and repeatability (2012) PLos One, 7, p. e44402
  • Shanee, S., Tello-Alvarado, J.C., Vermeer, J., Bóveda-Penalba, A.J., GIS risk assessment and AP analysis for the Andean titi monkey (Callicebus oenanthe) (2013) Primate Conservation, 26, pp. 17-23
  • Soberón, J.M., Llorente, J.B., Oñate, L., The use of specimen-label databases for conservation purposes: An example using Mexican Papilionid and Pierid butterflies (2000) Biodiversity & Conservation, 9, pp. 1441-1466
  • Somodi, A., Carni, A., Ribeiro, D., Podobnikar, T., Recognition of the invasive species Robinia pseudoacacia from combined remote sensing and GIS sources (2012) Biological Conservation, 150, pp. 59-67
  • Thorn, J., Thompson, S., Nekaris, K.A., Modelling slow loris (Nycticebus) distribution in Indonesia as a predictive tool for setting conservation priorities (2007) Folia Primatologica, 79, p. 390
  • Vidal-García, F., Serio-Silva, J.C., Potential distribution of Mexican primates: Modelling the ecological niche with the maximum entropy algorithm (2011) Primates, 52, pp. 261-270
  • Visscher, D.R., GPS measurement error and resource selection functions in a fragmented landscape (2006) Ecography, 29, pp. 458-464
  • Wieczorek, J., Guo, Q.G., Hijmans, R.J., The pointradius method for georeferencing locality descriptions and calculating associated uncertainty (2004) International Journal of Geographical Information Science, 18, pp. 745-767
  • Wisz, M.S., Pottier, J., Kissling, W.D., Pellissier, L., Lenoir, J., Damgaard, C.F., Dormann, C.F., Svenning, J.C., The role of biotic interactions in shaping distributions and realised assemblages of species: Implications for species distribution modelling (2013) Biological Reviews, 88, pp. 15-30

Citas:

---------- APA ----------
Alvarez-Gonçalvez, C.V., Mudry, M.D. & Nieves, M. (2015) . Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index. Annales Zoologici Fennici, 52(3), 177-185.
http://dx.doi.org/10.5735/086.052.0305
---------- CHICAGO ----------
Alvarez-Gonçalvez, C.V., Mudry, M.D., Nieves, M. "Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index" . Annales Zoologici Fennici 52, no. 3 (2015) : 177-185.
http://dx.doi.org/10.5735/086.052.0305
---------- MLA ----------
Alvarez-Gonçalvez, C.V., Mudry, M.D., Nieves, M. "Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index" . Annales Zoologici Fennici, vol. 52, no. 3, 2015, pp. 177-185.
http://dx.doi.org/10.5735/086.052.0305
---------- VANCOUVER ----------
Alvarez-Gonçalvez, C.V., Mudry, M.D., Nieves, M. Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index. Ann. Zool. Fenn. 2015;52(3):177-185.
http://dx.doi.org/10.5735/086.052.0305