Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models

Species distribution models (SDMs) are popular tools for predicting the geographic ranges of species. It is common practice to use georeferenced records obtained from online databases to generate these models. Using three species of Phaedranassa (Amaryllidaceae) from the Northern Andes, we compare t...

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1. Verfasser: Oleas, Nora (author)
Weitere Verfasser: Feeley, Kenneth (author), Fajardo, Javier (author), Meerow, Alan (author), Gebelein, Jennifer (author), Francisco-Ortega, Javier (author)
Format: article
Sprache:eng
Veröffentlicht: 2019
Online Zugang:https://www.mdpi.com/1424-2818/11/1/10
https://hdl.handle.net/20.500.14809/3325
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author Oleas, Nora
author2 Feeley, Kenneth
Fajardo, Javier
Meerow, Alan
Gebelein, Jennifer
Francisco-Ortega, Javier
author2_role author
author
author
author
author
author_facet Oleas, Nora
Feeley, Kenneth
Fajardo, Javier
Meerow, Alan
Gebelein, Jennifer
Francisco-Ortega, Javier
author_role author
collection Repositorio Universidad Tecnológica Indoamérica
dc.creator.none.fl_str_mv Oleas, Nora
Feeley, Kenneth
Fajardo, Javier
Meerow, Alan
Gebelein, Jennifer
Francisco-Ortega, Javier
dc.date.none.fl_str_mv 2019
2022-06-28T15:18:52Z
2022-06-28T15:18:52Z
dc.identifier.none.fl_str_mv https://www.mdpi.com/1424-2818/11/1/10
https://hdl.handle.net/20.500.14809/3325
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Diversity. Volume 11, Issue 1
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
dc.source.none.fl_str_mv reponame:Repositorio Universidad Tecnológica Indoamérica
instname:Universidad Tecnológica Indoamérica
instacron:UTI
dc.title.none.fl_str_mv Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
dc.type.none.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/article
description Species distribution models (SDMs) are popular tools for predicting the geographic ranges of species. It is common practice to use georeferenced records obtained from online databases to generate these models. Using three species of Phaedranassa (Amaryllidaceae) from the Northern Andes, we compare the geographic ranges as predicted by SDMs based on online records (after standard data cleaning) with SDMs of these records confirmed through extensive field searches. We also review the identification of herbarium collections. The species’ ranges generated with corroborated field records did not agree with the species’ ranges based on the online data. Specifically, geographic ranges based on online data were significantly inflated and had significantly different and wider elevational extents compared to the ranges based on verified field records. Our results suggest that to generate accurate predictions of species’ ranges, occurrence records need to be carefully evaluated with (1) appropriate filters (e.g., altitude range, ecosystem); (2) taxonomic monographs and/or specialist corroboration; and (3) validation through field searches. This study points out the implications of generating SDMs produced with unverified online records to guide species-specific conservation strategies since inaccurate range predictions can have important consequences when estimating species’ extinction risks.
eu_rights_str_mv openAccess
format article
id UTI_63de120b03e52a965592fcfded2c7588
instacron_str UTI
institution UTI
instname_str Universidad Tecnológica Indoamérica
language eng
network_acronym_str UTI
network_name_str Repositorio Universidad Tecnológica Indoamérica
oai_identifier_str oai:repositorio.uti.edu.ec:20.500.14809/3325
publishDate 2019
publisher.none.fl_str_mv Diversity. Volume 11, Issue 1
reponame_str Repositorio Universidad Tecnológica Indoamérica
repository.mail.fl_str_mv .
repository.name.fl_str_mv Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoamérica
repository_id_str 0
rights_invalid_str_mv https://creativecommons.org/licenses/by/4.0/
spelling Muddy boots beget wisdom: Implications for rare or endangered plant species distribution modelsOleas, NoraFeeley, KennethFajardo, JavierMeerow, AlanGebelein, JenniferFrancisco-Ortega, JavierSpecies distribution models (SDMs) are popular tools for predicting the geographic ranges of species. It is common practice to use georeferenced records obtained from online databases to generate these models. Using three species of Phaedranassa (Amaryllidaceae) from the Northern Andes, we compare the geographic ranges as predicted by SDMs based on online records (after standard data cleaning) with SDMs of these records confirmed through extensive field searches. We also review the identification of herbarium collections. The species’ ranges generated with corroborated field records did not agree with the species’ ranges based on the online data. Specifically, geographic ranges based on online data were significantly inflated and had significantly different and wider elevational extents compared to the ranges based on verified field records. Our results suggest that to generate accurate predictions of species’ ranges, occurrence records need to be carefully evaluated with (1) appropriate filters (e.g., altitude range, ecosystem); (2) taxonomic monographs and/or specialist corroboration; and (3) validation through field searches. This study points out the implications of generating SDMs produced with unverified online records to guide species-specific conservation strategies since inaccurate range predictions can have important consequences when estimating species’ extinction risks.Diversity. Volume 11, Issue 12022-06-28T15:18:52Z2022-06-28T15:18:52Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://www.mdpi.com/1424-2818/11/1/10https://hdl.handle.net/20.500.14809/3325enghttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessreponame:Repositorio Universidad Tecnológica Indoaméricainstname:Universidad Tecnológica Indoaméricainstacron:UTI2022-07-11T16:59:42Zoai:repositorio.uti.edu.ec:20.500.14809/3325Institucionalhttps://repositorio.uti.edu.ec/Institución privadahttps://indoamerica.edu.ec/https://repositorio.uti.edu.ec/oai.Ecuador...opendoar:02022-07-11T16:59:42Repositorio Universidad Tecnológica Indoamérica - Universidad Tecnológica Indoaméricafalse
spellingShingle Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
Oleas, Nora
status_str publishedVersion
title Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
title_full Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
title_fullStr Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
title_full_unstemmed Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
title_short Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
title_sort Muddy boots beget wisdom: Implications for rare or endangered plant species distribution models
url https://www.mdpi.com/1424-2818/11/1/10
https://hdl.handle.net/20.500.14809/3325