Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index

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 measu...

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Autores principales: Alvarez-Gonçalvez, C.V., Mudry, M.D., Nieves, M.
Formato: JOUR
Materias:
accuracy assessment
data set
database
geographical distribution
nature conservation
primate
wildlife management
Aotus lemurinus
Acceso en línea:http://hdl.handle.net/20.500.12110/paper_0003455X_v52_n3_p177_AlvarezGoncalvez
Aporte de:
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) de Universidad de Buenos Aires
id todo:paper_0003455X_v52_n3_p177_AlvarezGoncalvez
record_format dspace
spelling todo:paper_0003455X_v52_n3_p177_AlvarezGoncalvez2023-10-03T13:56:21Z Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index Alvarez-Gonçalvez, C.V. Mudry, M.D. Nieves, M. accuracy assessment data set database geographical distribution nature conservation primate wildlife management Aotus lemurinus 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. Fil:Mudry, M.D. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Nieves, M. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. JOUR info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_0003455X_v52_n3_p177_AlvarezGoncalvez
institution Universidad de Buenos Aires
institution_str I-28
repository_str R-134
collection Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA)
topic accuracy assessment
data set
database
geographical distribution
nature conservation
primate
wildlife management
Aotus lemurinus
spellingShingle accuracy assessment
data set
database
geographical distribution
nature conservation
primate
wildlife management
Aotus lemurinus
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
topic_facet accuracy assessment
data set
database
geographical distribution
nature conservation
primate
wildlife management
Aotus lemurinus
description 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.
format JOUR
author Alvarez-Gonçalvez, C.V.
Mudry, M.D.
Nieves, M.
author_facet Alvarez-Gonçalvez, C.V.
Mudry, M.D.
Nieves, M.
author_sort Alvarez-Gonçalvez, C.V.
title Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index
title_short Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index
title_full Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index
title_fullStr Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index
title_full_unstemmed Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index
title_sort accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index
url http://hdl.handle.net/20.500.12110/paper_0003455X_v52_n3_p177_AlvarezGoncalvez
work_keys_str_mv AT alvarezgoncalvezcv accuracyassessmentofdatasetsonthegeographicdistributionofaotussppusinganewgeoreferencingreliabilityindex
AT mudrymd accuracyassessmentofdatasetsonthegeographicdistributionofaotussppusinganewgeoreferencingreliabilityindex
AT nievesm accuracyassessmentofdatasetsonthegeographicdistributionofaotussppusinganewgeoreferencingreliabilityindex
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