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Actual and potential distribution of five regulated avocado pests across Mexico, using the maximum entropy algorithm.

Abstract

Mexican avocado producers face phytosanitary barriers that limit the ability to ship avocados to foreign markets due to concerns about invasion by unwanted pests. The principal regulated pests are the big avocado seed weevil, Heilipus lauri Boheman; the small avocado seed weevils Conotrachelus aguacatae Barber and C. perseae Barber; the branch borer weevil, Copturus aguacatae Kissinger (all Coleoptera: Curculionidae); and the avocado seed moth, Stenoma catenifer Walsingham (Lepidoptera: Elachistidae). In Mexico, distribution information of these pests is largely based on a slow integration of the geographic data. This study was conducted to determine the potential distribution of these 5 insect pests in Mexican avocado-growing areas by using the maximum entropy algorithm. Distributional data of these insects were obtained from scientific literature, databases, and field collection, and incorporated into the MaxEnt model using 19 global climatic variables and elevation data. Distributional models for Mexico, and geographic interaction with avocado-growing areas of the country, were calculated. Conoctrachelus aguacatae, C. perseae, Copturus aguacatae, and H. lauri showed similar environmental suitability patterns in Mexico, with a potential distribution from central to southern Mexico. High suitability was projected principally in the Trans-Mexican Volcanic Belt and surrounding biogeographic provinces. Stenoma catenifer exhibited an irregular environmental suitability pattern, with preference for western Mexico. Altitude, isothermality, and seasonality of precipitation were the variables that most influenced potential distribution of analyzed species. Geographic interaction with avocado-growing areas ranged from wider (Conoctrachelus aguacatae, C. perseae, Copturus aguacatae, and S. catenifer) to narrow or irregular (H. lauri), but the last species has the potential to invade new geographic areas. For the first time, the geographic distribution of these 5 insect pests was determined based on environmental suitability and their geographic interaction with avocados. These data could support development of management strategies throughout the country, and help focusing surveys and control tactics.

Key Words: ecological niche; seed avocado borer; branch avocado borer; distribution modeling; Mexican biogeographic provinces

Resumen

Los productores de aguacates de Mexico se enfrentan a barreras fitosanitarias que limitan la capacidad de enviar aguacates a los mercados extranjeros debido a la preocupacion por la invasion de plagas no deseadas. Las principales plagas reguladas son el gran gorgojo de semilla de aguacate, Heilipus lauri Boheman; los pequenos gorgojos de la semilla de aguacate Conotrachelus aguacatae Barber y C. perseae Barber; el gorgojo de la rama, Copturus aguacatae Kissinger (todos Coleoptera: Curculionidae); y la polilla de la semilla del aguacate, Stenoma catenifer Walsingham (Lepidoptera: Elachistidae). En Mexico, la informacion de distribucion de estas plagas se basa en gran medida en una lenta integracion de los datos geograficos. Se realizo este estudio para determinar la distribucion potencial de estas 5 plagas insectiles en las areas de cultivo de aguacates de Mexico utilizando el algoritmo de maxima entropia. Los datos de distribucion de estos insectos se obtuvieron de la literatura cientifica, bases de datos y recoleccion de campo, y se incorporo al modelo MaxEnt utilizando 19 variables climaticas globales y datos de elevacion. Se calcularon los modelos de distribucion para Mexico y la interaccion geografica con las areas productoras de aguacate para el pais. Conoctrachelus aguacatae, C. perseae, Copturus aguacatae y Heilipus lauri mostraron patrones de idoneidad ambiental similares en Mexico, con una posible distribucion desde el centro hasta el sur de Mexico. La alta aptitud se proyecto principalmente en el Cinturon Volcanico Transmexicano y en las provincias biogeograficas circundantes. Stenoma catenifer exhibio un patron de idoneidad ambiental irregular, con preferencia por el oeste de Mexico. La altitud, la isoterma y la estacionalidad de la precipitacion fueron las variables que mas influyeron en la distribucion potencial de las especies analizadas. La interaccion geografica con las areas de cultivo de aguacate vario de mas ancha (Conotrachelus aguacatae, C. perseae, Copturus aguacatae y S. catenifer) a estrecha o irregular (H. lauri), pero la ultima especie tiene el potencial de invadir nuevas areas geograficas. Por primera vez, se determino la distribucion geografica de estas 5 plagas de insectos basandose en la idoneidad ambiental y su interaccion geografica con los aguacates. Estos datos podrian apoyar el desarrollo de estrategias de manejo en todo el pais y en las encuestas de enfoque de ayuda y tacticas de control.

Palabras Clave: nicho ecologico; barrenador de aguacate; broca del aguacate de la rama; modelado de distribucion; provincias biogeograficas mexicanas

Mexico is the principal producer of avocado, Persea americana Mill. (Lauraceae), with 1,520,695 t harvested in 521,037 ha in 2014 (SIAP 2015). Avocados are consumed mainly as fresh fruits, but they are used in the oil, cosmetic, soap, and shampoo industries (Yahia & Woolf 2011). Fruit consumption is highly recommended due to their nutritional characteristics and their capacity to maximize the absorption and conversion of lipids to vitamin A (Dreher & Davenport 2013; Kopec et al. 2014).

Current trends indicate constant growth for the export market, but countries such as the USA have implemented phytosanitary barriers to minimize the risk of unwanted pest introduction (Stout et al. 2004; Hoddle & Parra 2013). These technical barriers can limit or reduce market access for Mexican avocados (Peterson & Orden 2008).

The insect pests of concern are 4 species of weevils and 1 moth species: the big avocado seed weevil, Heilipus lauri Boheman; the small avocado seed weevils Conotrachelus aguacatae Barber and C. perseae Barber; the branch borer weevil, Copturus aguacatae Kissinger (all Coleoptera: Curculionidae); and the avocado seed moth, Stenoma catenifer Walsingham (Lepidoptera: Elachistidae) (Pena 1988; Castaneda-Vildozola et al. 2007, 2013; Palacios-Torres et al. 2011).

Powerful modeling methods and tools that integrate distribution data and climatic variables are widely used to predict, at the global, country, or local scale, the actual and potential distribution of insect pests (Guisan & Thuiller 2005). The final result is the integration of maps wherein the presence or absence of a particular species is predicted (Gevrey & Worner 2006). These predictions can serve as the basis for planning future monitoring, management, and control strategies. However, for quarantine pests in Mexico, distribution data are largely based on traditional sampling efforts. Environmental suitability maps could be an important tool to support technical and political decisions related to pest management. To contribute in the development of pest risk assessments for fruit culture in Mexico, we applied the maximum entropy algorithm to assess the role of bioclimatic factors in determining the geographic distribution of 5 important insect pest species of avocado, and their interaction with commercial avocado-growing areas.

Materials and Methods

OCCURRENCE RECORDS FOR QUARANTINE PESTS

The distributional data for Conotrachelus aguacatae, C. perseae, Copturus aguacatae, H. lauri, and S. catenifer were obtained from the literature (Champion 1902-1906; Barber 1923; Gibson & Carrillo 1959; Kissinger 1957; Muniz 1959, 1970; Acevedo et al. 1972; Whitehead 1979; Cabrera & Salazar 1991; Romero et al. 1996; Coria-Avalos 1999; Velazquez 2001; Castaneda-Vildozola et al. 2007, 2009, 2012, 2013, 2015; Castaneda 2008; Francia 2008; Urias-Lopez & Salazar-Garcia 2008; Hoddle et al. 2011; Palacios-Torres et al. 2011; Castillo et al. 2012; Soto et al. 2013; Payan-Arzapalo et al. 2015; Vazquez et al. 2016), from collection data provided by the Mexican phytosanitary federal agency Servicio Nacional de Sanidad, Inocuidad y Calidad Agroalimentaria (SENASCA), and by field collections conducted by the authors in Morelos, Puebla, and Veracruz. Also, infested fruits were collected for weevil adult emergence under laboratory conditions, and species were determined using the keys published by Barber (1919, 1923), Garcia-Arellano (1975), Whitehead (1979), and Castaneda-Vildozola et al. (2007).

Pest distribution records were incorporated into an Excel[c] spreadsheet, then the distributional data were reviewed using a gazetter (INEGI 2015) or were georeferenced with Google Earth[R] v 7.1.2.2041 (Google Inc., USA) (Lopez-Martinez et al. 2016a). Geographic coordinates were expressed in decimal degrees (i.e., 21.5164, -104.8942). The final database included 178 records for Conotrachelus aguacatae, 39 records for C. perseae, 122 records for H. lauri, 53 records for S. catenifer, and 14,786 records for Copturus aguacatae (data are available from the authors upon request). The number of records included was considered accurate for calculating species distribution models (Van Proosdij et al. 2015).

SPECIES DISTRIBUTION MODEL

We used the maximum entropy algorithm in MaxEnt version 3.3.3 (Phillips et al. 2006) to model various scenarios of potential spread of the avocado pests in Mexico, using default settings with logistic output. Nineteen global climatic variables were downloaded from WorldClim (2015) with 30 arc-second resolution and 90 m resolution elevation data used in the model (Table 1). These bioclimatic variables represent current environmental conditions (1950-2000), are available on global scale, and have finer spatial resolutions. The outcome of the model is quantification of habitat suitability for the species as a function of the input variables (Phillips & Dudik 2008).

MODEL EVALUATION

Niche model performance was evaluated with the area under the curve (AUC) index (Hernandez et al. 2006; Phillips & Dudik 2008), and were classified according to Swets (1988): AUC 0.90-1.00 = excellent; 0.80-0.89 = good; 0.70-0.79 = fair; 0.60-0.69 = poor; 0.50-0.59 = fail. The Optimal Cutoff Point (PCO) was determined based on the more stringent threshold within MaxEnt (10 percentile training presence). The importance of individual environmental factors for the development of the model was evaluated using the built-in Jackknife.

PREDICTION AND DISTRIBUTION MAPS

The global environmental layers were projected in the biogeographic provinces of Mexico, and each modeling ecosystem was interpreted (Guisan & Thuiller 2005). Geographic interactions (the likelihood that the habitat would be suitable for coexistence; Lopez-Martfnez et al. 2016b) of the 5 avocado pests and avocado-growing areas in Mexico (SIAP 2015) were calculated with IDRISI 17.0 (Clark Labs, Clark University, USA). For map production, the software ArcMap[R] 10.3.1. (ESRI Inc., USA) was used. Biogeographic provinces are according to Morrone (2014a); regions and transition zones are based on Morrone (2015).

Results

ENVIRONMENTAL SUITABILITY

Four of the 5 insect species under consideration displayed similar environmental requirements. Conoctrachelus aguacatae, C. perseae, Copturus aguacatae, and H. lauri were predicted to occupy similar geographic areas. Only S. catenifer displayed potential to occupy different areas.

Conotrachelus aguacatae had high environmental suitability in the model output for the central-western region of Trans-Mexican Volcanic Belt province, adjacent areas of Mexican Plateau and Trans-Mexican Volcanic Belt provinces, adjacent areas of Balsas Basin and Trans-Mexican Volcanic Belt provinces, across Sierra Madre del Sur, adjacent areas of Balsas Basin and Sierra Madre Oriental, and central Sierra Madre Oriental biogeographic provinces (Fig. 1A). Medium environmental suitability was calculated in the south-central Mexican Plateau, south of Tamaulipeca, across adjacent areas of Sierra Madre Occidental and the Mexican Pacific Coast, across Sierra Madre Oriental, the eastern Trans-Mexican Volcanic Belt, across Sierra Madre del Sur, and Chiapas biogeographic province. Low environmental suitability was projected in the Mexican Pacific Coast, northern Tamaulipeca, northern Mexican Plateau, northern Sierra Madre Occidental, eastern Sonora, and isolated areas in Baja California. No environmental suitability was calculated in California and Yucatan provinces. Actually, there are no records of this weevil from south of Sierra Madre Occidental in Jalisco or Zacatecas, Sierra Madre del Sur in Oaxaca, Sierra Madre Oriental in San Luis Potosi, and Chiapas provinces; future collections in these regions are needed to confirm this prediction.

For C. perseae, the highest environmental suitability included the Trans-Mexican Volcanic Belt, and adjacent areas of the Trans-Mexican Volcanic Belt with Sierra Madre Occidental, Mexican Pacific Coast, Mexican Plateau, Balsas Basin, Sierra Madre del Sur, and Sierra Madre Oriental provinces. Other areas with high environmental suitability were calculated in an irregular east-west strip (Fig. 1B). Medium environmental suitability was projected in Sierra Madre Occidental, southern Mexican Plateau, central-northern Sierra Madre Oriental, eastern Balsas Basin, southern Sierra Madre del Sur, Chiapas, and isolated areas in Tamaulipeca, Veracruzana, Mexican Pacific Coast, and Baja California. Minimal environmental suitability was projected for isolated areas in Sonora, Mexican Plateau, northern Sierra Madre Occidental, Mexican Pacific Coast, Tamaulipeca, central and southern Veracruzana, eastern Balsas Basin, and Yucatan provinces. According to our model, we predict the potential collection of C. perseae in the western Trans-Mexican Volcanic Belt in Jalisco, Estado de Mexico, Distrito Federal, Morelos, and Tlaxcala, in southern Sierra Madre Occidental in Zacatecas, and in many isolated areas along the Mexican Pacific Coast. We expect future records of this species for Guerrero and more reports for Oaxaca in Sierra Madre del Sur.

High environmental suitability for Copturus aguacatae was calculated in the central-eastern area of Trans-Mexican Volcanic Belt province, adjacent areas of Trans-Mexican Volcanic Belt with Mexican Pacific Coast, Sierra Madre Occidental, Mexican Plateau, Balsas Basin, and Sierra Madre Oriental provinces; and central-eastern regions of Sierra Madre del Sur, adjacent areas of Sierra Madre del Sur with Balsas Basin, and Mexican Pacific Coast provinces (Fig. 1C). Small isolated areas were projected along Sierra Madre Oriental and south-eastern Tamaulipeca provinces. Medium environmental suitability was calculated along Sierra Madre Occidental, southern Mexican Plateau, central and western areas in Trans-Mexican Volcanic Belt, Balsas Basin, adjacent areas of Balsas Basin with Mexican Pacific Coast, adjacent areas of Sierra Madre del Sur with Mexican Pacific Coast, Chiapas, and adjacent areas of Chiapas with Mexican Pacific Coast provinces. Low environmental suitability was projected in a small area south of Baja California, along Sonora, northern and eastern Sierra Madre Occidental, central Mexican Plateau, areas across Mexican Pacific Coast, Chiapas, Veracruzana, and Yucatan provinces. We expect future reports for this species in Guerrero and Oaxaca for Sierra Madre del Sur, Hidalgo and San Luis Potosi for Sierra Madre Oriental, and Chiapas province.

Heilipus lauri had high environmental suitability in central and southern areas of Trans-Mexican Volcanic Belt, adjacent areas of Trans-Mexican Volcanic Belt with Balsas Basin, and Mexican Plateau, eastern areas of Sierra Madre del Sur, adjacent areas of Sierra Madre del Sur with Mexican Pacific Coast, and small areas in central Sierra Madre Oriental (Fig. 1D). Medium environmental suitability was calculated across Trans-Mexican Volcanic Belt, western, northern, and eastern areas of Sierra Madre del Sur, eastern areas of Balsas Basin, Chiapas, and western areas of Yucatan provinces. Low environmental suitability was projected in areas of Sierra Madre Occidental, south-central Mexican Plateau, Sierra Madre Oriental, central-eastern Mexican Pacific Coast, central Veracruzana, and Chiapas provinces. No environmental suitability was calculated in California, Baja California, Sonora, and Tamaulipeca provinces. For big avocado seed weevil, we expect more reports in the future for Sierra Madre del Sur in Guerrero and possibly Oaxaca. Michoacan in Trans-Mexican Volcanic Belt had appropriate environmental suitability for this weevil, but no records for this species have been documented in these areas.

Stenoma catenifer exhibited an irregular environmental suitability pattern (Fig. 1E), with high environmental suitability projected mainly in western Mexico, in adjacent areas of Mexican Pacific Coast, Sierra Madre Occidental, and Trans-Mexican Volcanic Belt provinces. Other areas with high suitability were found along adjacent areas of Trans-Mexican Volcanic Belt with Balsas Basin, Mexican Pacific Coast with Sierra Madre del Sur, and Sierra Madre del Sur with Veracruzana provinces. Medium environmental suitability was calculated south of Baja California, southern Sonora, northern and southern Mexican Pacific Coast, central and southern Mexican Plateau, central areas of Trans-Mexican Volcanic Belt, Balsas Basin, central and eastern Sierra Madre del Sur, and adjacent areas of Chiapas and Veracruzana provinces. Low environmental suitability was calculated in central Baja California, northern Sonora, central Sierra Madre Occidental, northern and southern Mexican Plateau, a small area in Tamaulipeca, northern, eastern and southwestern Sierra Madre Oriental, central Veracruzana, and areas in Balsas Basin, Sierra Madre Oriental, and Chiapas. No environmental suitability was projected in California, Tamaulipeca, and Yucatan provinces. Future records from Trans-Mexican Volcanic Belt could be expected for Jalisco, Michoacan, Estado de Mexico, Morelos, and Puebla, Sierra Madre Occidental in Zacatecas, and Mexican Pacific Coast in Nayarit, Guerrero, Oaxaca.

MODEL VALIDATION

Performance of all models was considered excellent, with values ranging from 0.92 to 0.99 (Conotrachelus aguacatae = 0.99, C. perseae = 0.99, Copturus aguacatae = 0.92, H. lauri = 0.99, and S. catenifer = 0.99). For the species studied herein, altitude, isothermality (evenness of temperatures), and seasonality of precipitation were the variables that most influenced the potential distribution of these insects (Table 2). These variables measure changes in environmental conditions throughout the year (Aguilar & Lado 2012). For Conotrachelus aguacatae, these 3 variables contributed 72.6% in the calculated model. For C. perseae, these variables were complemented with temperature seasonality and precipitation in wettest month, thus contributing 76.1% in the model. For Copturus aguacatae, mean diurnal range was an additional important factor, and together with the other 3 variables accounted for 79.1% in the predicted model. For H. lauri, the 3 variables plus temperature seasonality contributed 77.0% in the calculated model. For S. catenifer, the 3 variables plus precipitation in the coldest quarter contributed 66.7% in the predicted model.

GEOGRAPHIC INTERACTION

According to our study, Conotrachelus aguacatae has a wide potential distribution in the country, and with geographic interaction that could involve avocado-growing areas in Aguascalientes, Chiapas, Colima, Durango, Estado de Mexico, Guanajuato, Guerrero, Hidalgo, Jalisco, Michoacan, Morelos, Nayarit, Nuevo Leon, Oaxaca, Puebla, Queretaro, San Luis Potosi, Veracruz, and Zacatecas (Table 2; Fig. 2A). Conotrachelus perseae showed a similar distribution pattern as C. aguacatae, but potentially covers a greater number of production areas (Table 2; Fig. 2B).

Copturus aguacatae has a narrow distribution in comparison with both small avocado seed weevils, but it could affect avocado production areas from Nayarit, through central Mexico, to Chiapas. Northern production areas, including Baja California, Veracruz, and Yucatan peninsula, are practically free of this species (Table 2; Fig. 2C).

It seems that H. lauri has a restricted distribution in the country, with isolated populations in commercial avocado plantations from Estado de Mexico, Guerrero, Jalisco, Michoacan, Morelos, Oaxaca, Puebla, and Veracruz (Table 2; Fig. 2D).

Stenoma catenifer is projected to have the widest geographic distribution across the country, from Baja California Sur, central Mexico to Chiapas (Table 2; Fig. 2E), and from Nuevo Leon, and San Luis Potosi joining with Veracruz growing areas. However, avocado production areas in Yucatan seem to be inadequate for S. catenifer.

Discussion

The distribution of species calculated herein coincides with a typical Mexican Transition Zone species (Halffter 1974) and with a Neotropical dispersal pattern (Morrone 2015). The Mexican Transition Zone is considered by Morrone (2014b) as an area of natural endemism for Curculionoidea, where agricultural pests can coevolve with their host (Lopez-Martinez et al. 2016a). It seems that the Mexican Plateau acts as a natural barrier reducing the dispersion of these species to the Nearctic region. However, there are different levels of penetration for these species in Mexican Plateau province, with Conotrachelus aguacatae and C. perseae reaching the maximal potential distribution range including the Mexican Transition Zone in southern Sierra Madre Occidental, Sierra Madre Oriental, and Mexican Plateau. Stenoma catenifer is classified similarly as a Mexican Transition Zone species with a Neotropical dispersal pattern, but in this case, the dispersal pattern is deeply influenced by the Mexican Pacific Coast, with a potential for populations with Nearctic dispersal pattern in Baja California and Sonora provinces.

A natural barrier that likely limits species dispersion is the Mexican geography with several volcanic systems extending across the country, each of which differs in extent, origin, and orientation. The Sierra Madre Occidental volcanic province is extensive, of middle Tertiary origin, running from the southwestern United States to central Mexico (Ferrari et al. 1999). The Trans-Mexican Volcanic Belt is an east-west system, a 1,200 km long, 100 km wide, active, continental volcanic arc (Ego & Ansan 2002). The Sierra Madre Oriental is an eastern, 800 km long, 80 to 100 km wide mountain system, with peaks higher than 2,500 m (Eguiluz et al. 2000). Sierra Madre del Sur is a Pacific marginal mountain system, 1,100 km long, with maximal peaks from 2,600 to 3,200 m (Lugo-Hubp 1990). But in the connection areas of Sierra Madre Occidental, Sierra Madre Oriental, Trans-Mexican Volcanic Belt, and Sierra Madre del Sur, there are valleys and depressions with wide ranges in extent and altitudes. Here is where these orographic elements show 2 effects on regulated avocado pests: creating environmental conditions for natural existence of insects in high altitudinal ranges ([less than or equal to]2,300 m), but limiting dispersion (i.e., H. lauri from Morelos to Michoacan) across physical barriers and into lowlands (<1,000 m).

Avocado is a native fruit in the tropical and subtropical regions of North and South America, with 3 general ecological races: Mexican, Guatemalan, and West Indian (Ayala & Ledesma 2014). This fruit has a deep and old interaction with humans in the Neotropics (Galindo-Tovar et al. 2008). Dispersion of avocado in America was in a north---south direction, with diversity increased by Mesoamerican cultures (Galindo-Tovar et al. 2008). In addition, it is possible to hypothesize a host--pest coevolutionary relationship, with dispersion of the insects following production by Mesoamericans, or more contemporary producers. An additional explanation for the distribution pattern of avocado seed weevils could be the fruit dispersion by large herbivores (fruit consumption and undamaged seed excretion) (Wolstenholme & Whiley 1999).

Altitude is positively associated with the potential distribution of pests of quarantine importance for Mexican avocados, indicating a preference for high altitudes. Ecologically, when a species has a broad altitudinal range, its probabilities for finding suitable environments are high (Harabis & Dolny 2010). Importantly, this variable is considered as an easy metric for characterizing habitat in the field (Chunco et al. 2013). For Conotrachelus aguacatae and H. lauri, the probability of finding this species increases at 1,500 m altitude. The niche suitability for C. perseae and Copturus aguacatae starts at lower altitudes, about 1,000 m, and increases between 2,000 and 4,000 m. Stenoma catenifer showed only a minor influence of this variable on its distribution, with a strong probability of collecting it only in areas with altitudes ranging between 1,000 and 1,500 m.

Day-to-night temperature oscillations relative to the annual oscillations (isothermality) (O'Donell & Ignizio 2012) is an important weather element in determination of environmental suitability for all species studied herein. This phenomenon was also reported for some other insect pests in Mexico (Lopez-Martinez et al. 2016b).

Avocado fruit growth in Mexico takes 8 to 9 mo, and 2 fruit seasons are recorded in commercial orchards (Cossio-Vargas et al. 2008; Rocha-Arroyo et al. 2011). The principal period of precipitation coincides with fruit harvest (Rocha-Arroyo et al. 2011). The combination of these elements (fruit maturity and rain) seems to be an important factor affecting emergence, mating, host selection (fruit or wood), and oviposition in these avocado pests.

The Mexican avocado industry faces strong phytosanitary pressure from the native avocado pests. The national phytosanitary agency (SENASICA) and local farmers implement local, regional, and national inspections, and pest control measures (cultural, biological, and chemical options) to reduce pest populations (Sangerman-Jarquin et al. 2014). These efforts have resulted in the establishment of pest-free avocado areas (Thiebaut 2010; Martin 2016). However, according to this work, these areas are under constant threat from avocado pest invasions emanating in surrounding production areas.

Potential expansion of the infested areas is a major concern of the avocado industry in Mexico. Conotrachelus aguacatae and C. perseae are principally distributed in central Mexico. However, these species could also inhabit nearby areas, especially orchards with low pest control technology, or live on wild hosts. For species with irregular or patchy distribution (H. lauri and S. catenifer), eradication of these species from avocado-growing regions may be a logical priority.

Environmental suitability, as determined by this study, could be the basis to conduct systematic sampling studies to determine the definite distribution of these species in selected entities such as Nuevo Leon for S. catenifer, and Michoacan for H. lauri. Currently, there are no data to confirm or deny the presence or absence of S. catenifer in Nuevo Leon (Jorge Luis Morales Marin, Comite Estatal de Sanidad Vegetal de Nuevo Leon, Mexico), but the apparent environmental suitability suggests that natural invasion or accidental introduction could occur. The same situation applies to H. lauri in Michoacan.

Finally, Mexico is a place with commercial and wild avocado distributed throughout the country and with a traditional culture of small backyard orchards; for now, the role of these native and backyard trees in avocado pest dispersion is still poorly known. Recently, Castaneda-Vildozola et al. (2013) and Palacios-Torres et al. (2011), reported that backyard orchards may act as reservoirs, allowing natural interactions among different avocado seed borers, as has been reported for H. lauri with C. perseae and H. lauri with S. catenifer. Also, anthropogenic activities such as commerce could facilitate continuous dispersion of these pests into new agroecosystems. Further research is needed to examine these assumptions.

Acknowledgments

This work was partially supported by the Programa para el Desarrollo Profesional Docente en Educacion Superior (DSA/103.5/16/2609). Nidia Belgica Perez-De la O received a graduate grant (CONACYT No. 260517). Servicio Nacional de Sanidad, Inocuidad y Calidad Agroalimentaria (SENASICA) kindly provided distribution data.

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Andrea Luna (1), Victor Lopez-Martinez (1,*), Nidia Belgica Perez-De la O (1), Daniel Jimenez-Garcia2, Robert W. Jones (3), Alvaro Castaneda-Vildozola (4), and Cesar Ruiz-Montiel (5)

(1) Facultad de Ciencias Agropecuarias, Universidad Autonoma del Estado de Morelos, Av. Chamilpa 1001, Cuernavaca, 62209, Morelos, Mexico; E-mail: lunasam89@gmail.com (A. L.), victor.lopez@uaem.mx (V. L.-M.), belgica_delao@hotmail.com (N. B. P.-D. O.)

(2) Centro de Agroecologia y Ambiente, Instituto de Ciencias, Benemerita Universidad Autonoma de Puebla, 12 Sur 6301, Col. San Manuel, Puebla, Puebla, 72570, Mexico; E-mail: daniel.jimenez@correo.buap.mx (D. J.-G.)

(3) Facultad de Ciencias Naturales, Universidad Autonoma de Queretaro, 76010, Queretaro, Mexico; E-mail: rjones@uaq.mx (R. J.)

(4) Centro de Investigacion y Estudios Avanzados en Fitomejoramiento, Facultad de Ciencias Agricolas, Universidad Autonoma del Estado de Mexico, Campus El Cerrillo, Toluca, 50200, Estado de Mexico, Mexico; E-mail: alvarocv1@hotmail.com (A. C.-V.)

(5) Instituto de Investigaciones Forestales, Parque Ecologico El Haya, Antigua Carretera Xalapa-Coatepec, AP 551, Universidad Veracruzana, Xalapa, Veracruz, Mexico; E-mail: ruizmon@hotmail.com (C. R.-M.)

(*) Corresponding author; E-mail: victor.lopez@uaem.mx (V. L.-M.)

Caption: Fig. 1. Potential distribution of 5 insect pests of quarantine importance in Mexican avocados, based on ecological niche modeling. A) Conotrachelus aguacatae; B) Conotrachelus perseae; C) Copturus aguacatae; D) Heilipus lauri; and E) Stenoma catenifer. Current and potential distribution in Mexico was projected according to biogeographic provinces (Morrone 2005, 2014a), 1 = Baja California, 2 = California, 3 = Sonora, 4 = Sierra Madre Occidental, 5 = Mexican Plateau, 6 = Tamaulipeca, 7 = Mexican Pacific Coast, 8 = Trans-Mexican Volcanic Belt, 9 = Sierra Madre Oriental, 10 = Veracruzana, 11 = Balsas Basin, 12 = Sierra Madre del Sur, 13 = Chiapas, 14 = Yucatan. Scale values: 0 = absence, 1 = presence.

Caption: Fig. 2. Geographic areas in Mexico where both the insect pest and avocados are found. Shading indicates hectares affected. A) Conotrachelus aguacatae; B) Conotrachelus perseae; C) Copturus aguacatae; D) Heilipus lauri; and E) Stenoma catenifer.
Table 1. Analysis of the contribution (%) of 19 bioclimatic and 1
topographic variables (a) to the environmental suitability model of 5
avocado pests in Mexico.

                                     Conotrachelus     Conotrachelus
Variable                              aguacatae           perseae

Altitude                                34.50              39.21
Annual mean temperature                  0.44               0.35
Mean diurnal range                       0.15               0.23
Isothermality                           29.41              16.21
Temperature seasonality                  4.83              10.23
Maximum temperature in warmest month     0.16               0.00
Minimum temperature in coldest month     4.68               0.04
Temperature annual range                 0.21               0.00
Mean temperature in wettest quarter      0.28               0.00
Mean temperature in driest quarter       0.08               0.00
Mean temperature in warmest quarter      0.00               0.00
Mean temperature in coldest quarter      0.15               0.00
Annual precipitation                     0.08               1.64
Precipitation in wettest month           0.01              10.46
Precipitation in driest month            5.84               3.64
Precipitation seasonality                8.69               4.99
Precipitation in wettest quarter         2.89               0.03
Precipitation in driest quarter          1.70               0.25
Precipitation in warmest quarter         1.39               7.23
Precipitation in coldest quarter         4.44               5.43

                                      Copturus     Heilipus     Stenoma
Variable                              aguacatae     lauri      catenifer

Altitude                                15.56       30.28        15.32
Annual mean temperature                  0.13        0.00         0.24
Mean diurnal range                      14.35        0.03         2.54
Isothermality                           31.01       11.24        25.19
Temperature seasonality                  2.96       19.03         5.41
Maximum temperature in warmest month     0.01        0.47         0.04
Minimum temperature in coldest month     0.17        0.00         0.71
Temperature annual range                 0.11        0.02         2.34
Mean temperature in wettest quarter      0.02        0.06         0.00
Mean temperature in driest quarter       0.09        0.57         0.00
Mean temperature in warmest quarter      1.02        0.00         0.02
Mean temperature in coldest quarter      0.36        0.12         0.40
Annual precipitation                     0.25        0.02         2.79
Precipitation in wettest month           6.40        0.01         6.31
Precipitation in driest month            0.64        4.19         4.96
Precipitation seasonality               18.22       16.45        14.65
Precipitation in wettest quarter         2.64        9.60         0.00
Precipitation in driest quarter          0.01        0.02         3.72
Precipitation in warmest quarter         2.92        0.74         3.51
Precipitation in coldest quarter         3.05        7.04        11.58

(a) WorldClim version 1.4 (release 3), sources: www.worldclim.org;
Hijmans et al. (2005), O'Donnell & Ignizio (2012).

Table 2. Potential geographic distribution (ha) of 5 insect pests of
quarantine importance in Mexico by federal entity.

Federal entity               Conotrachelus     Conotrachelus
                             aguacatae           perseae

Aguascalientes                     0.00                 0.00
Baja California                    0.00                 0.00
Baja California Sur                0.00                 0.00
Campeche                           0.00                 0.00
Chiapas                      344,673.78           976,085.18
Chihuahua                          0.00                 0.00
Coahuila                       6,428.75                 0.00
Colima                        31,369.19            31,136.82
Distrito Federal                   0.00            24,630.62
Durango                      238,715.64           133,764.41
Guanajuato                 2,037,602.98             7,977.84
Guerrero                     587,029.80           833,413.47
Hidalgo                      459,229.41           318,958.80
Jalisco                    2,558,408.94           772,921.28
Mexico                       320,817.71           572,158.48
Michoacan                  1,302,479.63           856,882.26
Morelos                       97,360.66            98,754.85
Nayarit                      450,941.75           390,062.29
Nuevo Leon                   460,003.96            20,912.79
Oaxaca                     2,237,513.77         2,966,130.91
Puebla                       694,846.86           710,337.81
Queretaro                    781,596.22            81,327.52
Quintana Roo                       0.00                 0.00
San Luis Potosi              562,786.45            39,501.94
Sinaloa                        9,217.12            52,746.71
Sonora                             0.00                 0.00
Tabasco                           77.45                 0.00
Tamaulipas                   361,946.20             7,977.84
Tlaxcala                      18,279.33             7,048.39
Veracruz                     444,900.27           514,609.58
Yucatan                            0.00                 0.00
Zacatecas                      4,260.01                 0.00
Total                     14,010,485.88         9,417,339.79

Federal entity             Copturus         Heilipus       Stenoma
                           aguacatae         lauri         catenifer

Aguascalientes               0.00               0.00         7,125.84
Baja California              0.00               0.00             0.00
Baja California Sur          0.00               0.00       275,506.66
Campeche                     0.00             464.73             0.00
Chiapas                      0.00         266,831.73     2,459,189.36
Chihuahua                    0.00               0.00             0.00
Coahuila                     0.00               0.00             0.00
Colima                   5,421.83             464.73       324,148.27
Distrito Federal         1,394.19               0.00             0.00
Durango                      0.00               0.00       260,015.71
Guanajuato                  77.45           1,161.82       281,005.95
Guerrero               103,711.95       1,222,546.29     2,552,057.65
Hidalgo                      0.00               0.00       224,076.69
Jalisco                962,065.86          37,410.66     3,002,534.66
Mexico                  83,418.80         284,491.42       395,639.03
Michoacan              918,071.54         338,322.49     1,905,542.57
Morelos                 57,781.27          98,367.57       239,954.92
Nayarit                215,711.57               0.00     1,080,649.13
Nuevo Leon                   0.00               0.00        30,207.37
Oaxaca                 307,650.40       1,310,612.38     2,308,772.17
Puebla                 106,190.51         129,426.94     1,016,129.30
Queretaro                4,647.29               0.00       227,639.61
Quintana Roo                 0.00               0.00             0.00
San Luis Potosi              0.00               0.00     1,356,775.43
Sinaloa                      0.00               0.00       164,359.05
Sonora                       0.00               0.00             0.00
Tabasco                      0.00               0.00         8,287.66
Tamaulipas                   0.00               0.00       408,496.53
Tlaxcala                     0.00               0.00             0.00
Veracruz                     0.00          96,121.39       533,586.00
Yucatan                      0.00          65,526.75             0.00
Zacatecas                    0.00               0.00       220,436.31
Total                2,766,142.67       3,851,748.90     19,282,135.86
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Author:Luna, Andrea; Lopez-Martinez, Victor; Perez-De la O, Nidia Belgica; Jimenez-Garcia, Daniel; Jones, R
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Date:Mar 1, 2017
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