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Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran

In agroecosystems, potential species distribution models are extensively applied in pest management strategies, revealing species ecological requirements and demonstrating relationships between species distribution and predictive variables. The Maximum Entropy model was used to predict the potential...

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Autores principales: Solhjouy-Fard, Samaneh, Sarafrazi, Alimorad, Minbashi Moeini, Mehdi, Ahadiyat, Ali
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University of Wisconsin Library 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4011372/
https://www.ncbi.nlm.nih.gov/pubmed/24735397
http://dx.doi.org/10.1673/031.013.11601
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author Solhjouy-Fard, Samaneh
Sarafrazi, Alimorad
Minbashi Moeini, Mehdi
Ahadiyat, Ali
author_facet Solhjouy-Fard, Samaneh
Sarafrazi, Alimorad
Minbashi Moeini, Mehdi
Ahadiyat, Ali
author_sort Solhjouy-Fard, Samaneh
collection PubMed
description In agroecosystems, potential species distribution models are extensively applied in pest management strategies, revealing species ecological requirements and demonstrating relationships between species distribution and predictive variables. The Maximum Entropy model was used to predict the potential distribution of five heteropteran key pests in Iran, namely Adelphocoris lineolatus (Goeze) (Hemiptera: Miridae), Lygus pratensis (L.), Apodiphus amygdali (Germar) (Hemiptera: Pentatomidae), Nezara viridula (L.), and Nysius cymoides (Spinola) (Hemiptera: Lygaeidae). A total of 663 samples were collected from different parts of Iran. The altitude and climate variable data were included in the analysis. Based on test and training data, the area under the receiver operating characteristic curve values were above 0.80, the binomial omission test with the lowest presence threshold for all species was statistically significant (< 0.01), and the test omission rates were less than 3%. The suitability of areas in Iran for A. amygdale (Germar) (Hemiptera: Pentatomidae), N. cymoides (Spinola) (Hemiptera: Lygaeidae), A. lineolatus (Goeze) (Hemiptera: Miridae), L. pratensis (L.), and N. viridula (L.) (Hemiptera: Pentatomidae), ranked as 78.86%, 68.78%, 43.29%, 20%, and 15.16%, respectively. In general, central parts of Iran including salt lakes, deserts, and sand dune areas with very high temperatures and windy weather were predicted to be less suitable, while other regions, mainly northern parts, were most suitable. These new data could be applied practically for the design of integrated pest management and crop development programs.
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spelling pubmed-40113722014-05-09 Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran Solhjouy-Fard, Samaneh Sarafrazi, Alimorad Minbashi Moeini, Mehdi Ahadiyat, Ali J Insect Sci Article In agroecosystems, potential species distribution models are extensively applied in pest management strategies, revealing species ecological requirements and demonstrating relationships between species distribution and predictive variables. The Maximum Entropy model was used to predict the potential distribution of five heteropteran key pests in Iran, namely Adelphocoris lineolatus (Goeze) (Hemiptera: Miridae), Lygus pratensis (L.), Apodiphus amygdali (Germar) (Hemiptera: Pentatomidae), Nezara viridula (L.), and Nysius cymoides (Spinola) (Hemiptera: Lygaeidae). A total of 663 samples were collected from different parts of Iran. The altitude and climate variable data were included in the analysis. Based on test and training data, the area under the receiver operating characteristic curve values were above 0.80, the binomial omission test with the lowest presence threshold for all species was statistically significant (< 0.01), and the test omission rates were less than 3%. The suitability of areas in Iran for A. amygdale (Germar) (Hemiptera: Pentatomidae), N. cymoides (Spinola) (Hemiptera: Lygaeidae), A. lineolatus (Goeze) (Hemiptera: Miridae), L. pratensis (L.), and N. viridula (L.) (Hemiptera: Pentatomidae), ranked as 78.86%, 68.78%, 43.29%, 20%, and 15.16%, respectively. In general, central parts of Iran including salt lakes, deserts, and sand dune areas with very high temperatures and windy weather were predicted to be less suitable, while other regions, mainly northern parts, were most suitable. These new data could be applied practically for the design of integrated pest management and crop development programs. University of Wisconsin Library 2013-10-26 /pmc/articles/PMC4011372/ /pubmed/24735397 http://dx.doi.org/10.1673/031.013.11601 Text en © 2013 http://creativecommons.org/licenses/by/2.5/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Article
Solhjouy-Fard, Samaneh
Sarafrazi, Alimorad
Minbashi Moeini, Mehdi
Ahadiyat, Ali
Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran
title Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran
title_full Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran
title_fullStr Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran
title_full_unstemmed Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran
title_short Predicting Habitat Distribution of Five Heteropteran Pest Species in Iran
title_sort predicting habitat distribution of five heteropteran pest species in iran
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4011372/
https://www.ncbi.nlm.nih.gov/pubmed/24735397
http://dx.doi.org/10.1673/031.013.11601
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