Literature DB >> 33406598

A Bioclimate-Based Maximum Entropy Model for Comperiella calauanica Barrion, Almarinez and Amalin (Hymenoptera: Encyrtidae) in the Philippines.

Billy Joel M Almarinez1,2, Mary Jane A Fadri3, Richard Lasina4, Mary Angelique A Tavera1,2, Thaddeus M Carvajal5, Kozo Watanabe5, Jesusa C Legaspi6, Divina M Amalin1,2.   

Abstract

Comperiella calauanica is a host-specific endoparasitoid and effective biological control agent of the diaspidid Aspidiotus rigidus, whose outbreak from 2010 to 2015 severely threatened the coconut industry in the Philippines. Using the maximum entropy (Maxent) algorithm, we developed a species distribution model (SDM) for C. calauanica based on 19 bioclimatic variables, using occurrence data obtained mostly from field surveys conducted in A. rigidus-infested areas in Luzon Island from 2014 to 2016. The calculated the area under the ROC curve (AUC) values for the model were very high (0.966, standard deviation = 0.005), indicating the model's high predictive power. Precipitation seasonality was found to have the highest relative contribution to model development. Response curves produced by Maxent suggested the positive influence of mean temperature of the driest quarter, and negative influence of precipitation of the driest and coldest quarters on habitat suitability. Given that C. calauanica has been found to always occur with A. rigidus in Luzon Island due to high host-specificity, the SDM for the parasitoid may also be considered and used as a predictive model for its host. This was confirmed through field surveys conducted between late 2016 and early 2018, which found and confirmed the occurrence of A. rigidus in three areas predicted by the SDM to have moderate to high habitat suitability or probability of occurrence of C. calauanica: Zamboanga City in Mindanao; Isabela City in Basilan Island; and Tablas Island in Romblon. This validation in the field demonstrated the utility of the bioclimate-based SDM for C. calauanica in predicting habitat suitability or probability of occurrence of A. rigidus in the Philippines.

Entities:  

Keywords:  Aspidiotus rigidus; Comperiella calauanica; Maxent; pest invasion forecasting; species distribution modeling

Year:  2021        PMID: 33406598      PMCID: PMC7824593          DOI: 10.3390/insects12010026

Source DB:  PubMed          Journal:  Insects        ISSN: 2075-4450            Impact factor:   2.769


  7 in total

1.  Predicting the potential geographic distribution of cotton mealybug Phenacoccus solenopsis in India based on MAXENT ecological niche model.

Authors:  Babasaheb B Fand; Mahesh Kumar; Ankush L Kamble
Journal:  J Environ Biol       Date:  2014-09

2.  A Host-Parasitoid Model for Aspidiotus rigidus (Hemiptera: Diaspididae) and Comperiella calauanica (Hymenoptera: Encyrtidae).

Authors:  Dave I Palen; Billy J M Almarinez; Divina M Amalin; Jesusa Crisostomo Legaspi; Guido David
Journal:  Environ Entomol       Date:  2019-02-13       Impact factor: 2.377

3.  Using presence-only and presence-absence data to estimate the current and potential distributions of established invasive species.

Authors:  Andrew M Gormley; David M Forsyth; Peter Griffioen; Michael Lindeman; David Sl Ramsey; Michael P Scroggie; Luke Woodford
Journal:  J Appl Ecol       Date:  2011-02       Impact factor: 6.528

4.  Assessing the Risk of Invasion by Tephritid Fruit Flies: Intraspecific Divergence Matters.

Authors:  Martin Godefroid; Astrid Cruaud; Jean-Pierre Rossi; Jean-Yves Rasplus
Journal:  PLoS One       Date:  2015-08-14       Impact factor: 3.240

5.  Niche shifts and the potential distribution of Phenacoccus solenopsis (Hemiptera: Pseudococcidae) under climate change.

Authors:  Jiufeng Wei; Hufang Zhang; Wanqing Zhao; Qing Zhao
Journal:  PLoS One       Date:  2017-07-10       Impact factor: 3.240

6.  Bioclimatic Modelling Identifies Suitable Habitat for the Establishment of the Invasive European Paper Wasp (Hymenoptera: Vespidae) across the Southern Hemisphere.

Authors:  Matthew W F Howse; John Haywood; Philip J Lester
Journal:  Insects       Date:  2020-11-11       Impact factor: 2.769

  7 in total

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