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Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models

BACKGROUND: Biological invasions have become a major threat to biodiversity, and identifying determinants underlying success at different stages of the invasion process is essential for both prevention management and testing ecological theories. To investigate variables associated with different sta...

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Autores principales: Liang, Shih-Hsiung, Walther, Bruno Andreas, Shieh, Bao-Sen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354111/
https://www.ncbi.nlm.nih.gov/pubmed/28316893
http://dx.doi.org/10.7717/peerj.3092
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author Liang, Shih-Hsiung
Walther, Bruno Andreas
Shieh, Bao-Sen
author_facet Liang, Shih-Hsiung
Walther, Bruno Andreas
Shieh, Bao-Sen
author_sort Liang, Shih-Hsiung
collection PubMed
description BACKGROUND: Biological invasions have become a major threat to biodiversity, and identifying determinants underlying success at different stages of the invasion process is essential for both prevention management and testing ecological theories. To investigate variables associated with different stages of the invasion process in a local region such as Taiwan, potential problems using traditional parametric analyses include too many variables of different data types (nominal, ordinal, and interval) and a relatively small data set with too many missing values. METHODS: We therefore used five decision tree models instead and compared their performance. Our dataset contains 283 exotic bird species which were transported to Taiwan; of these 283 species, 95 species escaped to the field successfully (introduction success); of these 95 introduced species, 36 species reproduced in the field of Taiwan successfully (establishment success). For each species, we collected 22 variables associated with human selectivity and species traits which may determine success during the introduction stage and establishment stage. For each decision tree model, we performed three variable treatments: (I) including all 22 variables, (II) excluding nominal variables, and (III) excluding nominal variables and replacing ordinal values with binary ones. Five performance measures were used to compare models, namely, area under the receiver operating characteristic curve (AUROC), specificity, precision, recall, and accuracy. RESULTS: The gradient boosting models performed best overall among the five decision tree models for both introduction and establishment success and across variable treatments. The most important variables for predicting introduction success were the bird family, the number of invaded countries, and variables associated with environmental adaptation, whereas the most important variables for predicting establishment success were the number of invaded countries and variables associated with reproduction. DISCUSSION: Our final optimal models achieved relatively high performance values, and we discuss differences in performance with regard to sample size and variable treatments. Our results showed that, for both the establishment model and introduction model, the number of invaded countries was the most important or second most important determinant, respectively. Therefore, we suggest that future success for introduction and establishment of exotic birds may be gauged by simply looking at previous success in invading other countries. Finally, we found that species traits related to reproduction were more important in establishment models than in introduction models; importantly, these determinants were not averaged but either minimum or maximum values of species traits. Therefore, we suggest that in addition to averaged values, reproductive potential represented by minimum and maximum values of species traits should be considered in invasion studies.
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spelling pubmed-53541112017-03-17 Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models Liang, Shih-Hsiung Walther, Bruno Andreas Shieh, Bao-Sen PeerJ Biodiversity BACKGROUND: Biological invasions have become a major threat to biodiversity, and identifying determinants underlying success at different stages of the invasion process is essential for both prevention management and testing ecological theories. To investigate variables associated with different stages of the invasion process in a local region such as Taiwan, potential problems using traditional parametric analyses include too many variables of different data types (nominal, ordinal, and interval) and a relatively small data set with too many missing values. METHODS: We therefore used five decision tree models instead and compared their performance. Our dataset contains 283 exotic bird species which were transported to Taiwan; of these 283 species, 95 species escaped to the field successfully (introduction success); of these 95 introduced species, 36 species reproduced in the field of Taiwan successfully (establishment success). For each species, we collected 22 variables associated with human selectivity and species traits which may determine success during the introduction stage and establishment stage. For each decision tree model, we performed three variable treatments: (I) including all 22 variables, (II) excluding nominal variables, and (III) excluding nominal variables and replacing ordinal values with binary ones. Five performance measures were used to compare models, namely, area under the receiver operating characteristic curve (AUROC), specificity, precision, recall, and accuracy. RESULTS: The gradient boosting models performed best overall among the five decision tree models for both introduction and establishment success and across variable treatments. The most important variables for predicting introduction success were the bird family, the number of invaded countries, and variables associated with environmental adaptation, whereas the most important variables for predicting establishment success were the number of invaded countries and variables associated with reproduction. DISCUSSION: Our final optimal models achieved relatively high performance values, and we discuss differences in performance with regard to sample size and variable treatments. Our results showed that, for both the establishment model and introduction model, the number of invaded countries was the most important or second most important determinant, respectively. Therefore, we suggest that future success for introduction and establishment of exotic birds may be gauged by simply looking at previous success in invading other countries. Finally, we found that species traits related to reproduction were more important in establishment models than in introduction models; importantly, these determinants were not averaged but either minimum or maximum values of species traits. Therefore, we suggest that in addition to averaged values, reproductive potential represented by minimum and maximum values of species traits should be considered in invasion studies. PeerJ Inc. 2017-03-14 /pmc/articles/PMC5354111/ /pubmed/28316893 http://dx.doi.org/10.7717/peerj.3092 Text en ©2017 Liang et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Biodiversity
Liang, Shih-Hsiung
Walther, Bruno Andreas
Shieh, Bao-Sen
Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models
title Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models
title_full Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models
title_fullStr Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models
title_full_unstemmed Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models
title_short Contrasting determinants for the introduction and establishment success of exotic birds in Taiwan using decision trees models
title_sort contrasting determinants for the introduction and establishment success of exotic birds in taiwan using decision trees models
topic Biodiversity
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5354111/
https://www.ncbi.nlm.nih.gov/pubmed/28316893
http://dx.doi.org/10.7717/peerj.3092
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