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Predicted distribution of Metaparasitylenchus hypothenemi (Tylenchida: Allantonematidae), parasite of the coffee berry borer

Journal of Nematology
Volume 56 (2024): Issue 1 (March 2024)
By:
Open Access
|Aug 2024

Figures & Tables

Figure 1.

Canonical discriminant analysis based on environmental variables (altitude, temperature, and precipitation) to model the presence/absence of the nematode Metaparasitylenchus hypothenemi in the Soconusco, Chiapas, for the year 2003. Variability explained by the canonical variable is 100%.
Canonical discriminant analysis based on environmental variables (altitude, temperature, and precipitation) to model the presence/absence of the nematode Metaparasitylenchus hypothenemi in the Soconusco, Chiapas, for the year 2003. Variability explained by the canonical variable is 100%.

Figure 2.

Canonical discriminant analysis based on environmental variables (altitude, temperature, and precipitation) to model the presence/absence of the nematode Metaparasitylenchus hypothenemi in the Soconusco, Chiapas, for the year 2019. The variability explained by the canonical variable is 100%.
Canonical discriminant analysis based on environmental variables (altitude, temperature, and precipitation) to model the presence/absence of the nematode Metaparasitylenchus hypothenemi in the Soconusco, Chiapas, for the year 2019. The variability explained by the canonical variable is 100%.

Figure 3.

Distribution of sites with presence of the nematode Metaparasitylenchus hypothenemi across four different rainfall distribution ranges of the Soconusco for the years 2003 and 2019. Site locations appear as white (absence) or black (presence) dots.
Distribution of sites with presence of the nematode Metaparasitylenchus hypothenemi across four different rainfall distribution ranges of the Soconusco for the years 2003 and 2019. Site locations appear as white (absence) or black (presence) dots.

Figure 4.

Models of geographical distribution of Metaparasitylenchus hypothenemi in the Neotropical region. A) with fifteen climatic variables, B) with eight climatic variables, C) with six climatic variables, and D) the final model constructed with the sum of models A, B, and C. Regions with probability of occurrence (high inside the red rectangle, low inside the dotted line shapes).
Models of geographical distribution of Metaparasitylenchus hypothenemi in the Neotropical region. A) with fifteen climatic variables, B) with eight climatic variables, C) with six climatic variables, and D) the final model constructed with the sum of models A, B, and C. Regions with probability of occurrence (high inside the red rectangle, low inside the dotted line shapes).

Figure 5.

Zoomed-in on the region with the highest probability of occurrence (Mexico and Guatemala), with dots indicating site locations with absence (white) and presence (black) of the parasite for the years 2003 and 2019. The probability of nematode occurrence is shown as a color gradient (1–10).
Zoomed-in on the region with the highest probability of occurrence (Mexico and Guatemala), with dots indicating site locations with absence (white) and presence (black) of the parasite for the years 2003 and 2019. The probability of nematode occurrence is shown as a color gradient (1–10).

Altitude, temperature, and precipitation for 2003 and 2019 in coffee plantations with Metaparasitylenchus hypothenemi absence_

YearMunicipalityLocalityAltitude (m a.s.l.)Temperature (°C)Precipitacion (mm/year)
2003Unión JuárezUnión Juárez1295.0021.514013.41
CacahoatánFinca La Gloria569.0024.644436.73
Tuxtla ChicoEjido Manuel Lazos363.0025.453834.87
San José La Victoria484.0024.964286.24
TapachulaFinca Hamburgo1166.0022.183729.59
Finca Irlanda1149.0022.323694.39
Finca Maravillas647.0024.284290.40
San Miguel409.0025.453943.71
HuixtlaCamino Real465.0025.163631.59
Finca Córcega370.0025.233628.14
VillacomaltitlánEjido Zapote Mocho120.0026.853329.28
Finca La Granja459.0024.873638.88
2019MotozintlaFinca Santa Catalina795.0023.523363.59
Ranchería Varitas757.0023.673376.80
El Manguito748.0023.873464.51
Finca Brasil734.0023.803441.29
Los Cocos637.0024.343642.55
TapachulaEjido Mexiquito813.0023.634072.84
Santa Anita766.0023.764041.23
Finca Maravillas760.0023.834148.71
Tiro Seguro713.0024.084130.85
San José Nexapa665.0024.304429.00
Ejido Toluca553.0024.764372.55
Malpaso326.0025.853554.65
Tuxtla ChicoFinca El Encanto46125.144176.88
EscuintlaEjido Tres de mayo529.0025.063377.83
Jamaica331.0025.993441.58
TuzantánEl Retiro480.0025.223818.76
Río Negro208.0026.653339.10
VillacomaltitlánManuel Ávila Camacho109.0027.053249.11

Altitude, temperature, and precipitation for 2003 and 2019 in coffee plantations with Metaparasitylenchus hypothenemi presence (various localities in Mexico and San Pablo, Guatemala)_

YearMunicipalityLocalityAltitude (m a.s.l.)Temperature (°C)Precipitation (mm/year)
2003Unión JuárezFinca Monte Perla102022.874311.96
Ejido Once de Abril85223.504544.00
CacahoatánEjido Santo Domingo81023.794640.05
Finca La Alianza67124.244503.66
Finca El Zapote67624.214525.80
Rancho El Paraíso56424.654433.28
TapachulaFinca San Enrique75423.994139.28
Ejido Cinco de Mayo55424.854315.99
Ejido El Edén54425.573875.75
Rancho La Esperanza50725.144134.87
Tuxtla ChicoFinca El Encanto46125.034242.72
2019Unión JuárezRío Suchiate101422.003295.00
Finca Monte Perla93823.184443.20
Santo Domingo88323.474636.51
Ejido Once de Abril85023.564562.55
San Rafael81923.634629.64
Ejido San Jerónimo74723.944573.30
CacahoatánDos de Mayo83923.644566.13
Faja de Oro83623.604559.70
Finca El Zapote72024.094547.48
Finca La Alianza70323.924563.86
Rosario Ixtal60024.594455.24
Rancho San Antonio57724.614447.98
La Unidad56824.634443.94
TapachulaFinca Santa Lucía67224.264426.17
Salvador Urbina59824.594439.59
Finca Brasil46325.314045.24
AcacoyaguaEjido Los Cacaos45025.253211.97
San PabloFinca Buena Vista67024.003689.00

Breadth and evaluation of the SDMs_ All models were characterized by a high predictive accuracy in the partial ROC test (AUC = 0_99)_ The breadth of the geographical distribution of Metaparasitylenchus hypothenemi was similar (4692 km2), although all models predict a limited geographical distribution (0_02%) for the Neotropical region (23943229 km2)_

SDMAccessible areaSDM breadthProportionPartial ROC test
(1px = 1km2)(1px = 1km2)(%)AUC of 0.95AUC of 0.5Ratio
Model A23,943,2294,9770.0210.999760.499991.99951
Model B 4,8110.0200.999790.499991.99959
Model C 4,8340.0200.999800.499991.99959
Final model (D) 4,6920.020---
DOI: https://doi.org/10.2478/jofnem-2024-0031 | Journal eISSN: 2640-396X | Journal ISSN: 0022-300X
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Language: English
Submitted on: Mar 13, 2024
Published on: Aug 6, 2024
Published by: Society of Nematologists, Inc.
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year
Keywords:
species distribution models,
geographical information systems,
Coleoptera,
Curculionidae
Related subjects:
Life sciences,
Life sciences, other

© 2024 M. Simota-Ruiz, A. Castillo, J. Cisneros-Hernández, O. Carmona-Castro, published by Society of Nematologists, Inc.
This work is licensed under the Creative Commons Attribution 4.0 License.

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