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: Mudry, Marta Dolores, Nieves, Mariela
Publicado: 2015
Materias:
accuracy assessment
data set
database
geographical distribution
nature conservation
primate
wildlife management
Aotus lemurinus
Acceso en línea:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0003455X_v52_n3_p177_AlvarezGoncalvez
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 paper:paper_0003455X_v52_n3_p177_AlvarezGoncalvez
record_format dspace
spelling paper:paper_0003455X_v52_n3_p177_AlvarezGoncalvez2023-06-08T14:24:29Z Accuracy assessment of datasets on the geographic distribution of aotus spp. using a new georeferencing reliability index Mudry, Marta Dolores Nieves, Mariela 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. 2015 https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0003455X_v52_n3_p177_AlvarezGoncalvez 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
Mudry, Marta Dolores
Nieves, Mariela
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.
author Mudry, Marta Dolores
Nieves, Mariela
author_facet Mudry, Marta Dolores
Nieves, Mariela
author_sort Mudry, Marta Dolores
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
publishDate 2015
url https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_0003455X_v52_n3_p177_AlvarezGoncalvez
http://hdl.handle.net/20.500.12110/paper_0003455X_v52_n3_p177_AlvarezGoncalvez
work_keys_str_mv AT mudrymartadolores accuracyassessmentofdatasetsonthegeographicdistributionofaotussppusinganewgeoreferencingreliabilityindex
AT nievesmariela accuracyassessmentofdatasetsonthegeographicdistributionofaotussppusinganewgeoreferencingreliabilityindex
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