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The Asian citrus psyllid, Diaphorina citri Kuwayama (Hemiptera: Psyllidae), is an introduced pest in Mexico and a vector of huanglongbing, a lethal citrus disease. Estimations of the habitat distribution and population growth rates of D. citri are required to establish regional and areawide management strategies and can be used as a pest risk analysis tools. In this study, the habitat distribution of D. citri in Mexico was computed with MaxEnt, an inductive, machine-learning program that uses bioclimatic layers and point location data. Geographic distributions of development and population growth rates were determined by fitting a temperature-dependent, nonlinear model and projecting the rates over the target area, using the annual mean temperature as the predictor variable. The results showed that the most suitable regions for habitat of D. citri comprise the Gulf of Mexico states, Yucatán Peninsula, and areas scattered throughout the Pacific coastal states. Less suitable areas occurred in northern and central states. The most important predictor variables were related to temperature. Development and growth rates had a distribution wider than habitat, reaching some of the northern states of México. Habitat, development, and population growth rates were correlated to each other and with the citrus producing area. These relationships indicated that citrus producing states are within the most suitable regions for the occurrence, development, and population growth of D. citri, therefore increasing the risk of huanglongbing dispersion.

Stenoma catenifer Walsingham is a quarantine pest of avocado. Therefore, its detection in avocado-growing regions of Mexico that had been designated pest-free can halt national and international trade. One option for monitoring S. catenifer is the use of synthetic sex pheromone traps. In this study we determined the optimal density of pheromone-baited traps for monitoring S. catenifer. The experiment was conducted in 4 commercial Hass avocado orchards in Colima, Mexico, each with different pest infestation levels. Trap densities were established at 0.5, 1, 2, or 3 traps per ha. The traps were checked every 15 d and the number of moths recorded. The density of 3 traps per ha captured the most moths per trap followed by 1 trap per ha; similar small numbers of moths were captured at densities of 0.5 and 2 traps per ha. In general, there was a linear relationship between trap catch and trap density per ha. The overall default error rate, i.e., the proportion of traps did not detect moths when they were present, was 5.5% at a density of 3 traps per ha and 2.7% at trap densities of 0.5 and 2 traps per ha. Furthermore, at a density of 1 trap per ha all traps captured moths and so there was no default error. Since S. catenifer is a quarantine pest that must be detected promptly to reduce the risk of dispersal and establishment in moth-free areas, it is suggested that a density of 1 trap per ha should be used in avocado orchards to effectively monitor for the presence of this pest. However, this estimate was obtained through the bootstrapping technique, which involves the creation of pseudoreplicate datasets by resampling. Randomized field experiments with true replicates are needed to corroborate this result. La presencia de Stenoma catenifer Walsingham, una plaga cuarentenaria, puede cancelar la comercialización nacional e internacional de aguacate Hass de zonas libres de plagas reglamentadas del aguacatero. Una opción para su oportuna detección es el uso de trampas con feromona sexual sintética. El objetivo del estudio fue determinar la densidad de estas de trampas para el monitoreo de S. catenifer. El experimento se estableció en cuatro huertos comerciales de aguacate Hass, con diferentes niveles de infestación de la plaga, en Colima, México. En los huertos, se establecieron las densidades siguientes: 0.5, 1, 2, y 3 trampas por ha. Las trampas se revisaron cada 15 días para registrar el número de palomillas capturadas. La densidad de 3 trampas por ha capturó el mayor número de palomillas, seguida de la densidad de 1 trampa por ha, mientras que las capturas con 0.5 y 2 trampas por ha fueron las menores, pero muy similares entre sí. En general, las densidades de 0.5, 1, y 2 trampas por ha en relación con la densidad de 3 trampas por ha estuvieron linealmente relacionadas en la mayoría de los casos. La tasa de error global por omisión, i.e., no detectar la palomilla cuando está presente, con referencia a la densidad de 3 trampas por ha fue de 5.5%, y de 2.7% para las densidades de 0.5 y 2 trampas por ha, mientras que en la densidad de 1 trampa por ha siempre se detectaron palomillas y no tuvo omisión de error. Por tratarse de una plaga de importancia cuarentenaria y por el interés de detectarla oportunamente y así reducir el riesgo de dispersión y establecimiento a las áreas libres, se sugiere usar la densidad de una trampa por hectárea de aguacate. Sin embargo, este estimado se obtuvo mediate la técnica de bootstrapping que utiliza pseudor-replicas. Para validar este resultado, se requieren experimentos de campo con repeticiones verdaderas.

The involvement of dung beetles on the dung degradation in a tropical pasture during the rainy and dry seasons was studied. The dung weight loss was evaluated with two treatments: dung covered with mesh (BT) and uncovered dung (BD). Thirty 2-kg dung pats were randomly placed on pasture in BT-BD pairs. Observations of the status and dung weight were made at each season at 4, 8, 16, 32, and 64 days, and the abundance and diversity of dung beetles were recorded. Euoniticellus intermedius, Digitonthophagus gazella and Copris lugubris were abundant in the first week in BD. The effect of treatment and time on the weight of dung was analyzed with a multiple linear regression model. The model allowed to calculated differences of weight loss between treatments and between times, and to determinate the time needed to have 80% of weight lost. Dung pats lost weight at a greater rate for the BD as compared to the BT treatment in both seasons. The weight loss of BT and BD both were higher and faster in the rainy season; in one month BD lost weight 92% and 67% for the BT units. In one month of the dry season BD lost 73% of their weight, while BT units lost 58%. In the rainy season 80% of dung weight loss was reached in 3 days for BD, and the same loss in 17 days for BT. In the dry season 80% of the dung weight was lost in 17 and 56 days for BD and BT respectively.

This research identifies favorable areas for goat production systems in the state of Veracruz, Mexico. Through the use of the analytic hierarchy process, layers of biophysical and soil information were combined to generate a model of favorability. Model validation was performed by calculating the area under the curve, the true skill statistic, and a qualitative comparison with census records. The results showed the existence of regions with high (4494.3 km 2 ) and moderate (2985.8 km 2 ) favorability, and these areas correspond to 6.25 and 4.15%, respectively, of the state territory and are located in the regions of Sierra de Huayacocotla, Perote, and Orizaba. These regions are characterized as mountainous and having predominantly temperate-wet or cold climates, and having montane mesophilic forests, containing pine, fir, and desert scrub. The reliability of the distribution model was supported by the area under the curve value (0.96), the true skill statistic (0.86), and consistency with census records.

Butterfly-based handicraft activities are usually performed around or within natural reserves. Using these insects in a sustainable way by rural communities should address multiple factors, goals and conservation constraints. This study ranks tourist zones in Veracruz, México, to create and market butterfly-based handicrafts by applying a multicriteria analysis. We differentiated top zones where a segment of the rural population could benefit from this activity. Roads, butterfly diversity, and tourists emerge as key elements while protected areas and transport costs were considered as constraints. The economic value of the butterfly-based handicraft market was estimated as well.

The involvement of dung beetles on the dung degradation in a tropical pasture during the rainy and dry seasons was studied. The dung weight loss was evaluated with two treatments: dung covered with mesh (BT) and uncovered dung (BD). Thirty 2-kg dung pats were randomly placed on pasture in BT-BD pairs. Observations of the status and dung weight were made at each season at 4, 8, 16, 32, and 64 days, and the abundance and diversity of dung beetles were recorded. Euoniticellus intermedius, Digitonthophagus gazella and Copris lugubris were abundant in the first week in BD. The effect of treatment and time on the weight of dung was analyzed with a multiple linear regression model. The model allowed to calculated differences of weight loss between treatments and between times, and to determinate the time needed to have 80% of weight lost. Dung pats lost weight at a greater rate for the BD as compared to the BT treatment in both seasons. The weight loss of BT and BD both were higher and faster in the rainy season; in one month BD lost weight 92% and 67% for the BT units. In one month of the dry season BD lost 73% of their weight, while BT units lost 58%. In the rainy season 80% of dung weight loss was reached in 3 days for BD, and the same loss in 17 days for BT. In the dry season 80% of the dung weight was lost in 17 and 56 days for BD and BT respectively. [PUBLICATION ABSTRACT]

Stenoma catenifer Walsingham is a quarantine pest of avocado. Therefore, its detection in avocado-growing regions of Mexico that had been designated pest-free can halt national and international trade. One option for monitoring S. catenifer is the use of synthetic sex pheromone traps. In this study we determined the optimal density of pheromone-baited traps for monitoring S. catenifer. The experiment was conducted in 4 commercial Hass avocado orchards in Colima, Mexico, each with different pest infestation levels. Trap densities were established at 0.5, 1, 2, or 3 traps per ha. The traps were checked every 15 d and the number of moths recorded. The density of 3 traps per ha captured the most moths per trap followed by 1 trap per ha; similar small numbers of moths were captured at densities of 0.5 and 2 traps per ha. In general, there was a linear relationship between trap catch and trap density per ha. The overall default error rate, i.e., the proportion of traps did not detect moths when they were present, was 5.5% at a density of 3 traps per ha and 2.7% at trap densities of 0.5 and 2 traps per ha. Furthermore, at a density of 1 trap per ha all traps captured moths and so there was no default error. Since S. catenifer is a quarantine pest that must be detected promptly to reduce the risk of dispersal and establishment in moth-free areas, it is suggested that a density of 1 trap per ha should be used in avocado orchards to effectively monitor for the presence of this pest. However, this estimate was obtained through the bootstrapping technique, which involves the creation of pseudoreplicate datasets by resampling. Randomized field experiments with true replicates are needed to corroborate this result.

A decision support system for preventive integrated pest management (IPM) and nonpoint source (NPS) pollution control was designed, implemented and evaluated. The objective of the system was to generate plans at the farm level to satisfy economic and production goals while limiting risks of insect pest outbreaks, nitrate and pesticide leaching and runoff, and soil erosion. The system is composed of a constraint satisfaction planner (CROPS-LT), a modified version of CROPS (Stone, 1995), a farm-level resource management system (FLAME), an NPS module, which includes a weather generator, CLIGEN (Nicks et al. 1995), and an NPS distributed-parameter model, ANSWERS (Bouraoui, 1994), databases, a database engine and utility programs. The performance of the system was analyzed and performance enhancing features were added to increase the planner's ability to find near-optimal plans within a limited planning time. Using heuristics to sort potential crop rotations based on profit generally improved the planner's performance, as did removal of fields that were not suitable for growing target crops. Not surprisingly, the planner was best able to find plans for crops that can be grown in a variety of rotational systems. Throughout, the ability to apply environmental constraints selectively to individual fields greatly improved the planner's ability to find acceptable plans. Preventive IPM (PIPM) heuristics to control corn rootworms CRW (Diabrotica virgifera virgifera and D. barberi) were added to the planner. The model was represented and solved as a constraint satisfaction problem. Results indicated that plans obtained using PIPM heuristics had less risk of CRW damage, reduced chemical control costs, higher profit and reduced soil erosion as compared to a control plan. Linking the planner to the NPS model in a feedback control loop improved the planner's ability to reduce soil losses while preserving economic and production goals.