Printer Friendly

Population fluctuation of Schistocerca piceifrons piceifrons (Orthoptera: Acrididae) in the Yucatan Peninsula and its relation with the environmental conditions.

Locusts are one of the most damaging pests worldwide. They undergo a typical gregarious phase characterized by an increase in population density and formation of swarms, and in turn moving and travelling hundreds or thousands of kilometers in search for suitable habitat, threatening agriculture and rural livelihood (Symmons & Cressman, 2001; Sword, Lecoq, & Simpson, 2010).

The Central American Locust, Schistocerca piceifrons piceifrons is a major plant pest in cropped and grazing areas in Southern Mexico and Central America (Harvey, 1983; Barrientos, Astacio, Alvarez, & Poot, 1992). In the Yucatan Peninsula there is an important gregarious zone for S. p. piceifrons, where this species finds suitable vegetation and weather for breeding and growing (Magana, Contreras & Alvarez, 2013; SENASICA-DGSV, 2016).

Plant community and weather characteristics have an influence on Orthoptera outbreaks and population maintenance (Bouaichi, Simpson, & Roessingh, 1996; Torrusio, Cigliano, & Wysiecki, 2002; Smith & Capinera, 2005). Vegetation plays a major role in providing food and shelter for locusts. Studies on the desert locust Schistocerca gregaria have shown that high population density is correlated with the abundance of a specific group of plants, like the Boraginaceae Heliotropium arbainense and the Poaceae Pennisetum typhodium, Aristida pungens and Panicum turgidum (Ould & Sword, 2004; Woldewahid, Van der Werf, Van Huis & Stein, 2004; Woldewahid et al., 2007; Sword et al., 2010). The stage of the vegetation has been also implicated in affecting locust biology, low cover and dry vegetation leading to a high probability of contact between individuals, triggering gregarization and swarm formation (Cisse et al., 2013).

Climate and soil characteristics play an important role on fluctuation of population density of various insect species (Vinatier, Tixier, Duyck, & Lescourret, 2011). In the case of locusts, temperature and soil moisture are highly related to egg laying and in turn to increases in locust population densities (Van der Werf, Woldewahid, Van Huis, Butrous, & Ykora, 2005; Xian-Lei, Xian-Hui, Hong-Fu, & Kang, 2007). Weather at the regional scale, particularly the distribution of precipitation, is also a critical factor that shapes the population density of locusts (Powell, Berg, Johnson & Warland, 2007; Wysiecki, Arturi, Torrusio, & Cigliano, 2011).

Understanding the influence of factors, such as vegetation, climate and soil, on locust population increase is critical not only for predicting outbreaks, but also for effective field surveys (Symmons, 1992; Van der Werf et al., 2005). In this regard, the present study aimed to characterize seasonal population fluctuation of S. p. piceifrons in a gregarious zone in the Yucatan Peninsula, and to determine the association of population increase with the characteristics of vegetation, soil, and climate factors.

MATERIALS AND METHODS

Study site: The study was conducted in seven sites of the Yucatan Peninsula, where S. p. piceifrons commonly occurs (see characteristics of each site in Table 1). The sites have been recognized as gregarious zones for S. p. piceifrons in Mexico (Barrientos et al., 1992). The Yucatan Peninsula has a sub-humid tropical climate with three seasons during the year: the rainy season (July-October) is characterized by abundant precipitation (> 60 mm per month), with the highest precipitation (> 200 mm) in September; the north-winds season (November-February) has a moderate precipitation (< 60 mm per month) with brief rains or drizzles; and in the dry season (March-June) the precipitation is < 16 mm per month (Orellana, Islebe & Espadas, 2003; Gonzalez-Moreno, Bordera, & Delfin-Gonzalez, 2015). Vegetation is characterized by secondary plant communities produced by the abandonment of grazing livestock ranches. The survey was specifically directed toward sites where the presence of S. piceifrons has been documented by the locust campaign in Mexico (Magana et al., 2013) (Table 1).

Temperature, precipitation and evaporation of each locality were obtained from the database of the Water National Commission in Yucatan, Mexico (http://www.conagua.gob.mx).

Locust and vegetation sampling: Population density of S. p. piceifrons and vegetation were sampled throughout a year in three different seasons: north-wind season (December-2013), dry-season (April-2014) and rainy-season (June-2014).

To quantify population density of S. p. piceifrons, the random sampling method was used: We counted the number of locusts that flew up in a standard one meter strip, while we walked along 100 m transect (Cressman, 2001), previously calibration of one meter by each step of sampler was done (Cressman & Dobson, 2001).

Nine transects of 100 m length x 1 m width on each site were established. Transects were separated by at least 100 m. Transects were walked by evaluators and the number of locusts that fled the area were counted. Sampling was carried out early in the morning (7:00-10:00 h). The identification of S. p. piceifrons was by morphological characteristics of Contreras and Magana (2013).

Vegetation composition was sampled in quadrats of 4 x 4 m distributed along transects where S. p. piceifrons was sampled. Ninety quadrats per site were sampled. To describe vegetation diversity two variables were calculated: plant species richness (PSR) and relative species density (RSD), as described by Capitanio and Carcaillet (2008). The species list was not intended to be an exhaustive account of all plants present in the study area, but to satisfactorily represent the flora of the sites.

Determination of edaphic conditions:

Soil samples were obtained at 10 cm depth into a 4 x 6 [m.sup.2]. Six samples were taken in each study site. Determination of soil characteristics included: texture, pH, organic matter content, apparent density, field capacity and permanent wilting point. Land use in the sites was classified as non-grazing, slight grazing, moderate grazing and heavy grazing (Table 1) (Van der Werf et al., 2005).

Locust density was analyzed among study sites and seasons. For such purposes an analysis of variance was done and post hoc pairwise mean comparison by Scott & Knott (1974) was performed when significant differences (P < 0.05) were observed. The analysis was performed in Info Stat software (Di Rienzo et al., 2014).

Data on plant species richness (PSR) and relative species density (RSD) were analyzed by generalized linear models (McCullagh & Nelder, 1989). Both variables were analyzed under two-factors repeated measures, factor 1 included sites (seven levels) and factor 2 included seasons (three levels). All plant species were individually analyzed with a Poisson probabilistic model and a Log link function. Differences among levels of both factors were analyzed by least significant difference (LSD, < 0.05). A Wald statistical test, using the maximum likelihood method, was used to evaluate the effects of covariance (sites and seasons) on PSR and RSD. The statistical analysis was run in SPSS 22 for Windows.

To analyze the relationship of RSD, isotherms/isohyets and climate type vs locust population density, a combination of multiple factor analysis (MFA) and principal component analysis (PCA) were used. A second MFA was run separately to test the relationship of RSD, edaphic conditions and land use with locust population density. This second MFA was carried out using the locust population density during the rainy season due to the higher values observed for this variable in that period. The MFA is a multivariate ordination method that permits examination of common structures in datasets with variables that can be separated into different groups (Escofier & Pages, 1998). MFA involves two steps. First, a principal component analysis (PCA) is performed on each group of variables. Second, the normalized datasets are merged to form a unique matrix and a global PCA is performed. After MFA and PCA analysis, two statistical tests for correlation coefficient were used: RV among groups (Josse et al., 2008). This method scales from 0 to 1. In 0 every variable in one group is completely uncorrelated with every variable in the other group(s), and in 1 the two groups are completely homothetic (Borcard, Guillet & Legendre, 2011; Pages, 2015). The LG coefficient reflects the MFA normalization and takes positive values (Abdi, Williams, & Valentin, 2013). The analysis was run in R Software V2.15.3 (R Core Team 2013) using the FactorMine package (Le, Josse, & Husson, 2008).

To test the relationship between locust density and RSD, a principal component analysis (PCA) was performed with each plant species. For such a purpose, a varimax rotation was used and with principal components produced (PCs), predictive models with multiple regressions were established. The PCs were produced as independent variables and locust density as dependent variables. The statistical analysis was run in SPSS 22 for Windows (IBM, 2013).

RESULTS

Seasonal population fluctuation of

Schistocerca piceifrons piceifrons: The density of S. p. piceifrons was significantly higher in the sites Tunkas, Panaba, Tizimin, Cenotillo and Dzilam Gonzalez relative to that of Maxcanu and Telchac Pueblo (F = 74.3, P < 0.0001). In general, S. p. piceifrons density was higher during the rainy-season compared to that in north-wind or dry-seasons (F = 50.4, P < 0.0001) (Fig. 1).

Characterization of vegetation diversity: Vegetation diversity was characterized by two variables: plant species richness (PSR) and relative species density (RSD). The most representative plant community included 17 plant species, among them herbs, shrubs, trees and palm trees. Herbs included Panicum maximum, Cynodon nlemfuensis and Brachiaria brizantha, and secondary vegetation composed of trees, shrubs and palm species such as Pisonia aculeata, Guazuma ulmifolia, Leucaena leucocephala, Sabal yapa, Piscidia piscipula, Waltheria americana, Chamaecrista glandulosa, Viguiera dentata, Sida acuta, Panicum ghiesbreghtii, Amaranthus sp., Partenium hysterophorus, Tagetes sp. and Desmodium sp.

Plant species richness (PSR) was significantly different between sites and seasons ([chi square] Wald= 17.4, P < 0.001; and [chi square] Wald= 23.6, P < 0.0001, respectively; Fig. 2). There was a significant difference in PSR among the interaction of these factors ([chi square] Wald= 50.9, P < 0.0001).

PSR was higher in Dzilam Gonzalez (7.3, SE= 0.52) and lower in Maxcanu (4.9, SE= 0.19). Likewise, PSR was higher during the rainy season (7.0, SE= 0.33) than in the north-wind season (6.2, SE= 0.31) and dry season (4.9, SE= 0.28; Fig. 2).

RSD was significantly different between sites, seasons, and the interaction sites x seasons for six plant species, P. aculeata, P. cuminis, C. glandulosa, P. ghiesbreghtii, Tagetes sp. and Desmonium sp. The other plant species only showed significant differences between sites and/or seasons, except for S. yapa, which showed no differences between sites or seasons (Table 2).

RSD varied significantly between sites. The highest RSD values for Amaranthus sp. (2.3, SE= 0.51), P. hysterophorus (2.3, SE= 1.11), C. nlemfuensis (30.7, SE= 6.78) and P ghiesbreghtii (6.3, SE= 2.0) were observed in Panaba; for L. leucocephala and V. dentata in Maxcanu (15.2, SE = 2.64 and, 17.3, SE = 4.89, respectively); for G. ulmifolia and W. americana in Telchac Pueblo (0.1, SE= 0.07 and, 24.2, SE= 3.31, respectively); for P. aculeata and B. brizantha in Dzilam Gonzalez (1.3, SE= 0.41 and, 29.9, SE= 5.81, respectively); for P. maximum in Tizimin (65.4, SE = 3.74); for Tagetes sp. and Desmodium sp. in Cenotillo (14.4, SE = 3.5 and, 3.6, SE = 2.29, respectively); for C. glandulosa and S. acuta in Tunkas (39.2, SE = 6.1 and, 36.1, SE = 6.78, respectively); and for S. cuminis in Maxcanu and Dzilam Gonzalez (1.9, SE = 0.42 and, 1.5, SE = 0.29, respectively).

RSD also showed variation between seasons. The highest RSD for Tagetes sp. (4.3, SE = 0.31), Desmodium sp. (3.0, SE = 0.11), P. aculeata (0.5, SE = 0.02), P. cuminis (1.2, SE = 0.10) and L. leucocephala (3.4, SE= 0.013) was observed in the rainy season; whereas the highest RSD for C. glandulosa (10.4, SE = 1.50 and, 9.2, SE= 1.39), V. dentata (3.3, SE= 0.77 and, 4.2, SE = 1), P. ghiesbreghtii (3.6, SE = 0.76 and,= 0.52) was observed in the northwind season and rainy season, respectively. No difference in RSD between seasons was observed for the rest of the plant species.

Association between locust density and vegetation diversity, weather factors and edaphic conditions: The first MFA showed that the first two axes explained almost 42 % of the total variance. Matrices obtained from MFA were no orthogonal (Lg and Rv coefficients in Table 3), which indicates no proximity among groups. In this sense, RSD was identified as the most important, followed by isotherm/isohyets and Max. P/T. No correlation between locust density with other groups was found (Table 3).

The second MFA analysis showed that the first two axes explained 58.4 % of the variance. Matrices from MFA were not orthogonal (Lg and Rv coefficients in Table 3). Similar to the first MFA, the second MFA showed RSD as the most important group. In this second MFA, locust density and land use were also considered important groups. No correlation between locust density with other groups was found (Table 3). RSD as the most important group in both MFA was used to analyze the principal component analysis (PCA) of the association between RSD and locust density. RSD showed that six principal components (PCs) explained 83.2 % of the total variation; almost half of this variation was explained by first three components, PC1 (15.3 %), PC2 (14.9 %), and PC3 (14.3 %). The rest of the components (PC4-PC6) explained 38.4 % of the total variation (Table 4). When analyzed, the degree of dependence of locust density as a result of PCs, only PC3 and PC5 were statistically significant. Population density of locusts and PC3 showed a partial negative correlation ([Sr.sup.2] = -0.62). PC3 was mainly influenced by L. leucocephala, which suggests that the population density was lower where the abundance of L. leucocephala was higher. In contrast, the population density and PC5 showed a partial positive correlation ([Sr.sup.2] = 0.85). PC5 was influenced mainly by P. maximum, which indicates that S. piceifrons density was higher as abundance of P. maximum increased.

DISCUSSION

In the present work we have determined the seasonal population fluctuation of the S. p. piceifrons and its associations with vegetation diversity in a gregarious zone of the Yucatan Peninsula, Mexico. We observed that within the gregarious zone, population density of S. p. piceifrons varied between sites and seasons. In most of the sampling sites the highest locust population density was observed in the rainy season, in contrast; a dramatic decrease in population density was observed in the dry season. The reduction in population density of S. p. piceifrons in the dry season is attributed to a decline in the abundance of host plants and to changes in locust physiology that produce a recession period (Barrientos et al., 1992; Symmons & Cressman, 2001; Hernandez-Zul et al., 2013). These responses fit a seasonal pattern established for some herbivorous insects whereby diapause during the dry season maximizes their survival (Wolda, 1989; KishimotoYamada & Itioka, 2015).

The analysis of the vegetation diversity showed that PSR and RSD were different between sites and seasons. The highest values for PSR and RSD were observed in the rainy season. We ran two MFA's to find important groups (weather factors, RSD, land use, soil characteristic and locust density) and possible associations among them, particularly with the locust population density. MFA is a multivariate technique that reduces the number of variables arranged in groups and uncover correlations between the different groups analyzed through Rv and Lg coefficients. We found that in both MFA's the most important group was RSD. We found no correlation of locust density with weather factors, land use or soil characteristics. Interestingly, when a PCA was run with the plant species included in the RSD group, we uncovered an association of locust population density with some plant species. We found that locust population density showed a positive correlation particularly with the abundance of P. maximum. Abundance of this grass species has been also associated with high population density of the S. gregaria locust (Woldewahid et al., 2007). The positive effect of the abundance of P. maximum on population density of locust species may be related to two main factors: 1) P. maximum represents a good source of food not only in the rainy season, but also in the dry season due to its drought tolerance capacity (Ho, Tsai, Huang, & Kao, 2016) due to its efficient water use (C-4 grass species) (Ghannoum, 2009), 2) P. maximum creates a suitable environment for locust development due to plant architecture (leaf abundance and root volume) which permits secondary vegetation to grow. Secondary vegetation like the shrubs G. ulmifolia and S. yapa, and the annual herbs W. americana, S. acuta, P. hysterophorus and Amaranthus sp. serve as food source for S. p. piceifrons (Aviles & Ayala, 1994; Culmsee, 2002; Kokanova, 2014; Poot-Pech, RuizSanchez, Ballina-Gomez, Gamboa-Angulo, & Reyes-Ramirez, 2016). We suggest that the association between P. maximum and plant species comprising the secondary vegetation creates microclimates that produce a suitable environment for S. p. piceifrons even in the dry season (Ruttan, Filazzola, & Lortie, 2016). In addition, we also suggest that P. maximum is a grass species that may benefit defensive behavior of S. p. piceifrons against natural enemies, similar to that of the desert locust S. gregaria. The desert locust has the ability to change defensive behavior according to the condition of vegetation, shelter plant size and abundance is critical to hiding from predators or escaping quickly by moving among plants (Maeno et al., 2013).

Other studies have found that environmental conditions, including weather factors and edaphic conditions, play an important role in locust population densities (Bouaichi et al., 1996; Rong, Bao, Dian, Zhe, & Xian, 2007). Surprisingly, we found no strong association between weather factors or edaphic conditions with locust density. The weather in the Yucatan Peninsula is fairly homogeneous, especially in the Northern region, where our study sites were located (Orellana et al., 2003). In contrast, although Contreras, Galindo and Ibarra (2013) have mentioned an association of the locust survey with Aw0 clime in Yucatan Peninsula, this only highlight the activity of the locust (due to the monitoring) and not necessarily where the pest is present in a high density. In addition, we would have to consider that the Aw1 clime where we found the highest locust density, is an intermediate clime warm sub-humid between Aw0 and Aw1 (based in the precipitation and temperature) (Koppen, modified by Garcia, 1998). Soils in the Yucatan Peninsula, where S. p. piceifrons breeds and grows, are clay-rich, slightly acid and not very fertile (Bautista, Palacio, Quintana, & Alfred, 2011). All these types of soils sustain grassy vegetation suitable for the development of S. p. piceifrons populations.

In conclusion, population density of S. p. piceifrons was higher in the rainy season in all sites. High plant species richness and abundance were found in the rainy and northwind seasons. Population density of S. p. piceifrons was not associated with RSD, weather factors, land use or edaphic conditions. A high positive correlation was found between locust population density and abundance of the grass P. maximum.

ACKNOWLEDGEMENTS

We thank the Locust Field Officers of the Yucatan Plant Health (CESVY), for their contributions to field work, the National Water Commission for its weather information and the CONACyT for support of the PhD scholarship to Mario A. Poot-Pech (number 169452).

REFERENCES

Abdi, H., Williams, L. J., & Valentin, D. (2013). Multiple factor analysis: principal component analysis for multiple and multiblock data sets. WIRES Computational Statistics, 5, 149-179. doi:10.1002/wics.1246

Aviles, W., & Ayala, A. (1994). Establecimiento de Brachiaria brizantha con minima labranza en el norte de Yucatan, Mexico. Pasturas Tropicales, 16(3), 22-26.

Barrientos, L. L., Astacio, C. O., Alvarez, B. F., & Poot, M. O. (1992). Manual tecnico sobre la langosta voladora (Schistocerca piceifrons piceifrons Walker 1870) y otros acridoideos de Centroamerica y Sureste de Mexico. El Salvador: FAO-OIRSA.

Bautista, F., Palacio, A. G., Quintana, P., & Alfred, Z. J. (2011). Spatial distribution and development of soil in tropical karst areas from the Peninsula of Yucatan, Mexico. Geomorphology, 135, 308-321. doi:10.1016/j.geomorph.2011.02.014

Borcard, D., Guillet, F., & Legendre, P. (2011). Numerical Ecology with R. New York, NY: Springer.

Bouaichi, A., Simpson, S. J., & Roessingh, P. (1996). The influence of environmental microstructure on the behavioural phase state and distribution of the desert locust Schistocerca gregaria. Physiological Entomolology, 21, 247-256. doi: 10.1111/j.1365-3032.1996. tb00862.x

Capitanio, R., & Carcaillet, C. (2008). Post-fire Mediterranean vegetation dynamics and diversity: a discussion of succession models. Forest Ecology and Management, 255, 431-439. doi: 10.1016/j. foreco.2007.09.010

Cisse, S., Ghaout, S., Mazih, A., Ould, B. E. M. A. O., Benahi, A. S., & Piou, C. (2013). Effect of vegetation on density threshold of adult desert locust gregarization from survey data in Mauritania. Entomolia Experimentalis et Applicata, 149, 159-165. doi:10.1111/eea.12121

Contreras, S. C., & Magana, O. C. (2013). Ficha tecnica de la langosta Cetroamericana Schistocerca piceifrons piceifrons (Walker). In M. M. G. Galindo, S. C. Contreras & Z. E. Ibarra (Eds.), La plaga de langosta Schistocerca piceifrons piceifrons (Walker) Una vision multidisciplinaria desde la perspectiva del riesgo fitosanitario en Mexico (pp. 17-36). Mexico: San Luis Potosi.

Contreras S. C., Galindo M. M. G., & Ibarra Z. E. (2013). Metodologia para correlacionar los fenomenos de la sequia y "El Nino" con la presencia de la langosta en Mexico). In M. M. G. Galindo, S. C. Contreras & Z. E. Ibarra (Eds.), La plaga de langosta Schistocerca piceifrons piceifrons (Walker) Una vision multidisciplinaria desde la perspectiva del riesgo fitosanitario en Mexico (pp. 137-147). Mexico: San Luis Potosi.

Cressman K. (2001, September 24). Desert Locust Guidelines. Vol. II: Survey. Food and Agriculture Organization of the United Nations. Retrieved from http:// www.fao.org/ag/locusts/oldsite/PDFs/DLG2e.pdf

Cressman, K., & Dobson, H. M. (2001, September 24). Desert Locust Guidelines. Vol. VII: Appendices. Food and Agriculture Organization of the United Nations. Retrieved from http://www.fao.org/ag/ locusts/oldsite/PDFs/DLG7e.pdf

Culmsee, H. (2002). The habitat functions of vegetation in relation to the behaviour of the desert locust Schistocerca gregaria (Forskal) (Acrididae: Orthoptera)--a study in Mauritania (West Africa). Phytocoenologia, 32, 645-664. doi:10.1127/0340-269X/2002/0032-0645

Di Rienzo, J. A., Casanoves, F., Balzarini, M. G., Gonzalez, L., Tablada, M., & Robledo, C. W. (2014). InfoStat version 2014. Cordoba, Argentina: Grupo InfoStat.

Escofier, B., & Pages, J. (1998). Analyses Factorielles Simples et Multiples. France: Dunod.

Ghannoum, O. (2009). C4 photosynthesis and water stress. Annals of Botany, 103, 635-644. doi:10.1093/aob/ mcn093

Garcia, E. (1988). Modificaciones al Sistema de clasificacion climatica de Koppen (para adaptarlo a las condiciones de la Republica Mexicana). Mexico, DF: Offset Larios S.A.

Gonzalez-Moreno, A., Bordera, S., & Delfin-Gonzalez, H. (2015). Spatio-temporal diversity of Cryptinae (Hymenoptera, Ichneumonidae) assemblages in a protected area of southeast Mexico. Journal of Insect Conservation, 19, 1153-1161. doi:10.1007/ s10841-015-9830-1

Harvey, A. W. (1983). Schistocerca piceifrons (Walker) (Orthoptera: Acrididae), the swarming locust of tropical America: a review. Bulletin of Entomological Research, 73, 171-184. doi:10.1017/ S0007485300008786

Hernandez-Zul, M. I., Quijano-Carranza, J. A., Yanez-Lopez, R., Ocampo-Velazquez, R. V., Torres-Pacheco, I., Guevara-Gonzalez, R. G., & Castro-Ramirez, E. (2013). Dynamic simulation model of Central American Locust Schistocerca piceifrons (Orthoptera: Acrididae). Florida Entomologist, 96, 1274-1283. doi:10.1653/024.096.0405

Ho, C. Y., Tsai, M. Y., Huang, Y. L., & Kao, W. Y. (2016). Ecophysiological factors contributing to the invasion of Panicum maximum into native Miscanthus sinensis grassland in Taiwan. Weed Research, 56, 69-77. doi:10.1111/wre.12186

IBM. (2013). IBM SPSS statistics for Windows, version 22. Armonk, NY: IBM Corp.

Josse, J., Pages, J., & Husson, F. (2008). Testing the significance of the RV coefficient. Journal Computational Statistics & Data Analysis, 53, 82-91. doi:10.1016/j. csda.2008.06.012

Kishimoto-Yamada, K., & Itioka, T. (2015). How much have we learned about seasonality in tropical insect abundance since Wolda (1988)? Entomolical Science, 18, 407-419. doi:10.1111/ens.12134

Kokanova, E. O. (2014) Food plants of the Moroccan Locust Dociostaurus maroccanus (Thunberg, 1815) (Orthoptera, Acrididae) in Turkmenistan. Entomological Review, 93, 53-57. doi:10.1134/S0013873814030051

Le, S., Josse, J., & Husson, F. (2008). FactoMineR: An R Package for Multivariate analysis. Journal of Statistical Software, 25, 1-18. doi:10.18637/jss.v025.i01

Maeno, K. O., Piou, C., Ely, S. O., Ould, B. M. A. O., Pelissie, B., Mohamed, S. A. O., Jaavar, M. E. H., Etheimine, M., & Nakamura, S. (2013). Plant sizedependent escaping behavior of Gregarious nymphs of the Desert Locust, Schistocerca gregaria. Journal of Insect Behavior, 26, 623-633. doi:10.1007/ s10905-013-9378-4

Magana, O. C., Contreras, S. C., & Alvarez, F. G. (2013). Analisis Morfometrico Comparativo de la Langosta Centroamericana Schistocerca piceifrons (Walker) en la Huasteca Potosina y el Estado de Yucatan. In M. M. G. Galindo, S. C. Contreras & Z. E. Ibarra (Eds.), La plaga de langosta Schistocerca piceifrons piceifrons (Walker) Una vision multidisciplinaria desde la perspectiva del riesgo fitosanitario en Mexico (pp. 38-67). Mexico: San Luis Potosi.

McCullagh, P., & Nelder, J. A. (1989). Generalized linear model. London: Chapman & Hall.

Orellana, L. R., Islebe, G., & Espadas, C. M. (2003). Presente, pasado y futuro de los climas de la Peninsula de Yucatan. In P. Colunga-Garcia Marin & A. Larque-Saavedra (Eds.), Naturaleza y sociedad en el area Maya: Pasado, presente y future (pp. 37-52). Mexico: Yucatan.

Orellana, L. R., Espadas, C. M., & Nava, M. F. (2010). Climas. In R. Duran & M. Mendez (Eds.), Biodiversidad y desarrollo humano en Yucatan (pp. 10-11). Mexico: Yucatan.

Ould, B. M. A., & Sword, G. A. (2004). Linking locust gregarization to local resource distribution patterns across a large spatial scale. Environmental Entomology, 33, 1577-1583. doi:10.1603/0046-225X-33.6.1577

Pages, J. (2015). Multiple factor analysis by example using R. Florida: CRC Press.

Poot-Pech, M. A., Ruiz-Sanchez, E., Ballina-Gomez, H. S., Gamboa-Angulo, M. M., & Reyes-Ramirez, A. (2016). Olfactory response and host plant feeding of the Central American Locust Schistocerca piceifrons piceifrons Walker to common plants in a gregarious zone. Neotropical Entomology, 45, 382-388. doi:10.1007/s13744-016-0385-y

Powell, L. R., Berg, A. A., Johnson, D. L., & Warland, J. S. (2007). Relationships of pest grasshopper population in Alberta, Canada to soil moisture and climate variables. Agricultural and Forest Meteorology, 144, 73-84. doi:10.1016/j.agrformet.2007.01.013

R Core Team. (2013, March 22). R: A language and environment for statistical computing. R foundation for statistical computing. Retrieved from http://www.Rproject.org/

Rong, J., Bao, Y. X., Dian, M. L., Zhe, L., & Xian, C. Z. (2007). Relationships between spatial pattern of Locusta migratoria manilensis eggpods and soil property variability in coastal areas. Soil Biology and Biochemistry, 39, 1865-1869. doi: 10.1016/j. soilbio.2007.01.016

Ruttan, A., Filazzola, A., & Lortie, C. J. (2016). Shrubannual facilitation complexes mediate insect community structure in arid environments. Journal of Arid Environments, 134, 1-9. doi: 10.1016/j. jaridenv.2016.06.009

Scott, A. J., & Knott, M. (1974). Cluster analysis method for grouping means in the analysis of variance. Biometrics, 30, 507-512. doi:10.2307/2529204

SENASICA-DGSV. (2016). Langosta Centroamericana [Schistocerca piceifrons piceifrons (Walker, 1870)] (Orthoptera: Acrididae). Servicio Nacional de Sanidad, Inocuidad y Calidad Agroalimentaria, Tecamac, Mexico: Direccion General de Sanidad VegetalCentro Nacional de Referencia Fitosanitaria, Grupo Especialista Fitosanitario.

Smith, T. R., & Capinera, J. L. (2005). Host preferences and habitat associations of some Florida grasshoppers (Orthoptera: Acrididae). Environmental Entomology, 1, 210-224. doi:10.1603/0046-225X-34.1.210

Sword, G. A., Lecoq, M., & Simpson, S. J. (2010). Phase polyphenism and preventive locust management. Journal of Insect Physiology, 56, 949-957. doi:10.1016/j.jinsphys.2010.05.005

Symmons, P. M. (1992). Strategies to combat Desert Locust. Crop Protection, 11, 206-212. doi:10.1016/0261-2194(92)90038-7

Symmons, P. M., & Cressman, K. (2001). Desert Locust Guidelines. Biology and Behavior. Food and Agriculture Organization of the United Nations. Retrieved from http://www.fao.org/ag/locusts/oldsite/PDFs/ DLG7e.pdf

Torrusio, S., Cigliano, M. M., & Wysiecki, M. L. (2002). Grasshopper (Othoptera: Acridoidea) and plant community relationship in the Argentine Pampas. Journal of Biogeography, 2, 221-229. doi:10.1046/j.1365-2699.2002.00663.x

Van der Werf, W., Woldewahid, G., Van Huis, A., Butrous, M., & Ykora, K. (2005). Plant communities can predict the distribution of solitarious desert locust Schistocerca gregaria. Journal of Applied Ecology, 42, 989-997. doi:10.1111/j.1365-2664.2005.01073.x

Vinatier, F., Tixier, P., Duyck, P. F., & Lescourret, F. (2011). Factors and mechanisms explaining spatial heterogeneity: a review of methods for insect population. Methods in Ecology and Evolution, 2, 11-22. doi:10.1111/j.2041-210X.2010.00059.x

Wolda, H. (1989). Seasonal cues in tropical organism. Rainfall? Not necessarily! Oecologia, 80, 437-442. doi:10.1007/BF00380064.

Woldewahid, G., Van der Werf, W., Van Huis, A., & Stein, A. (2004). Spatial distribution of populations of solitarious adult desert locust (Schistocerca gregaria Fors.) on the coastal plain of Sudan. Agricultural and Forest Entomology, 6, 181-191. doi:10.1111/j.1461-9555.2004.00221.x

Woldewahid, G., Van der Werf, W., Sykora, K., Abate, T., Mostafa, B., & Van Huis, A. (2007) Description of plant communities on the red sea coastal plain of Sudan. Journal of Arid Environments, 68,113-131. doi:10.1016/j.jaridenv.2006.04.003

Wysiecki, M. L., Arturi, M., Torrusio, S., & Cigliano, M. M. (2011) Influence of weather variables and plant communities on grasshopper density in the Southern Pampas, Argentina. Journal of Insect Science, 11, 1-14. doi:10.1673/031.011.10901

Xian-Lei, Q., Xian-Hui, W., Hong-Fu, X., & Kang, L. (2007). Influence of soil moisture on egg cold hardiness in the migratory locust Locusta migratoria (Orthoptera: Acrididae). Physiological Entomology, 32, 219-224. doi:10.1111/j.1365-3032.2007.00564.x

Mario A. Poot-Pech (1), Esau Ruiz-Sanchez (1), Marcela Gamboa-Angulo (2), Horacio S. Ballina-Gomez (1) & Arturo Reyes-Ramirez (1)

(1.) Division de Estudios de Posgrado e Investigacion, Tecnologico Nacional de Mexico, Instituto Tecnologico de Conkal, Avenida Tecnologico s/n, C.P. 97345. Conkal, Yucatan; mpootpech@gmail.com, esau_ruiz@hotmail.com, horacio.ballina@itconkal.edu.mx, arte_rey@hotmail.com

(2.) Centro de Investigacion Cientifica de Yucatan, Merida, Yucatan, Mexico; mmarcela@cicy.mx

Recibido 23-VII-2017. Corregido 23-X-2017. Aceptado 22-XI-2017.

Caption: Fig. 1. Population fluctuation of S. p. piceifrons in seven sites of the Yucatan Peninsula, Mexico. Bars (mean [+ o -]SE). Different letter indicate statistical significant differences (Scott-Knott test, P < 0.05).

Caption: Fig. 2. Plant species richness (PSR) among sites of the Yucatan Peninsula, Mexico, and seasons. Bars (mean [+ or -] SE). Different letter indicate statistical significant differences (LSD test, P < 0.05).
TABLE 1

Characteristics of the study sites where the S. p. picei
frons breeds and gregarize Yucatan Peninsula, Mexico
(Orellana, Espadas & Nava, 2010; Bautista et al., 2011)

                             Weather factors

Site (Coordinate)     Type   Max P      Max T           Isot
                             (mm)    ([degrees]C)   ([degrees]C)

Maxcanu               SHWO   1 371       37.3           26.5
(20[degrees]56"09"N
89[degrees]95"77"W)

Telchac Pueblo        SHWO    526       36.11           25.7
(21[degrees]25"28"N
89[degrees]26"76"W)

Dzilam Gonzalez       SHWO   209.8      35.76           25.7
(21[degrees]24"66"N
88[degrees]94"53"W)

Panaba                SHW1   1 313      34.80           25.5
(21[degrees]43"08"N
88[degrees]39"11"W)

Tizimin               SHW1   1 555      36.36           26.0
(21[degrees]36"25"N
88[degrees]07"96"W)

Cenotillo             SHW1   1 423      35.96           25.7
(21[degrees]12"37"N
88[degrees]59"03"W)

Tunkas                SHW1   1 696       37.2           25.7

Site (Coordinate)     Isoli   Land   Sand    Silt
                      (mm)    use     (%)     (%)

Maxcanu                800     NG    28.32   58.22
(20[degrees]56"09"N
89[degrees]95"77"W)

Telchac Pueblo         900     NG    38.50   45.70
(21[degrees]25"28"N
89[degrees]26"76"W)

Dzilam Gonzalez        900     MG    27.88   55.77
(21[degrees]24"66"N
88[degrees]94"53"W)

Panaba                1000     SG    30.99   51.77
(21[degrees]43"08"N
88[degrees]39"11"W)

Tizimin               1100     HG    22.76   60.88
(21[degrees]36"25"N
88[degrees]07"96"W)

Cenotillo             1200     MG    26.76   55.77
(21[degrees]12"37"N
88[degrees]59"03"W)

Tunkas                1200     MG    27.88   55.77

                      Edaphic conditions

Site (Coordinate)     Clay     PH     OM          AD         FC
                       (%)            (%)        (g          (%)
                                             [cm.sup.-3])

Maxcanu               13.45   7.43   6.95        0.92       44.92
(20[degrees]56"09"N
89[degrees]95"77"W)

Telchac Pueblo        15.67   7.80   18.50       0.69       59.02
(21[degrees]25"28"N
89[degrees]26"76"W)

Dzilam Gonzalez       16.34   7.54   17.04       0.76       59.12
(21[degrees]24"66"N
88[degrees]94"53"W)

Panaba                17.23   7.87   21.24       0.69       63.25
(21[degrees]43"08"N
88[degrees]39"11"W)

Tizimin               17.45   7.61   15.67       0.72       58.53
(21[degrees]36"25"N
88[degrees]07"96"W)

Cenotillo             17.45   7.25   10.05       0.82       48.47
(21[degrees]12"37"N
88[degrees]59"03"W)

Tunkas                16.34   7.54   17.04       0.76       59.12

Site (Coordinate)      PWP
                       (%)

Maxcanu               24.8
(20[degrees]56"09"N
89[degrees]95"77"W)

Telchac Pueblo        44.84
(21[degrees]25"28"N
89[degrees]26"76"W)

Dzilam Gonzalez       38.93
(21[degrees]24"66"N
88[degrees]94"53"W)

Panaba                44.95
(21[degrees]43"08"N
88[degrees]39"11"W)

Tizimin               38.68
(21[degrees]36"25"N
88[degrees]07"96"W)

Cenotillo             36.56
(21[degrees]12"37"N
88[degrees]59"03"W)

Tunkas                38.93
(20[degrees]97"47"N
88[degrees]74"09"W)

Weather type (SHWO = Sub-humid warm--AWO, annual precipitation
lowest 10% in summer; SHW1 = sub humid warm--AW1, annual
precipitation highest 10% in summer; Max P = maximum precipitation;
Maximum T = maximum temperature; Isot = Isotherm, Isoli =
Isohyetal); Land use (NG = Non grazing, MG = Moderate grazing, SG =
Slight grazing, HG = Heavy grazing); Edaphic conditions (OM =
Organic Matter, AD = Apparent Density, FC = Field Capacity, PWP =
Permanent Wilting Point).

TABLE 2

Generalized linear model for relative species density (RSD) among
sites of the Yucatan Peninsula, Mexico, seasons, and sites x
seasons. The Wald x2 and their significance are shown for each
plant species

Plant species                Site      Season    Site x
                                                  Season

Pisonia aculeata           50 5***      6.3*     79.4***
Guazuma ulmifolia            6.6        5.2       23.0*
Leucaena leucocephala      157.5***     8.4*       19.6
Sabal yapa                   5.4        2.5        16.4
Piscidia cuminis           88.0***    26.7***    38.5***
Walteria americana         77 3***      4.3        13.5
Chamaecrista glandulosa    255 7***   105.0***   177.4***
Viguiera dentata           48 9***      0.3        8.7
Sida acuta                 25.0***      3.2       28.0**
Panicum ghiesbreghtii       17.0**    41.6***     21.4*
Amaranthus sp.             30.9***      10.2       12.1
Parthenium hysterophorus    23.9**      0.3        8.1
Tagetes sp.                106.9***    11.3**    39.3***
Desmodium sp.              24.2***    17.7***     34.1**
Panicum maximum            185.2***     4.6        2.3
Cynodon nlemfuensis        113.6***     3.7        5.3
Brachiaria brizantha       167.4***     0.5        3.2

*= P < 0.05; ** = P < 0.001; *** = P < 0.0001.

TABLE 3

Multiple Factor Analysis (MFA) for the groups of locust density,
RSD and weather factors of the Yucatan Peninsula, Mexico; Lg and Rv
coefficients are shown

                         MFA over annual data

          Rv Lg                   Weather factors          RSD

                           Type   Max P/T    Isoth/Isohy

Weather   Type                      0.17        0.59       0.34
factors   Max. P/T         0.20                 0.13       0.27
          Isoth/Isohy      0.63     0.16                   0.38
          RSD              0.66     0.62        0.77
          Locust density   0.34     0.39        0.30       0.74
          MFA              0.78     1.13        1.08       2.62

                         MFA over rainy season data

Rv Lg                             Land use      Soil       RSD

          Land use                              0.35       0.73
          Soil                      0.66                   0.44
          RSD                       1.98        0.73
          Locust density            0.51        0.15       0.67
          MFA                       1.45        0.52       1.82

          Locust density   MFA

Weather        0.34        0.49
factors        0.33        0.60
               0.28        0.63
               0.39        0.86
                           0.47
               0.75

Rv Lg     Locust density   MFA

               0.29        0.65
               0.14        0.38
               0.43        0.91
                           0.76
               0.98

TABLE 4

Principal Component Analysis of RSD of the Yucatan Peninsula, Mexico.
The table shows the weight of the variables for each component after
the rotation varimax

                        PC1     PC2     PC3     PC4     PC5     PC6
Explained variance
Eigenvalue              2.6     2.5     2.4     2.3     2.1     2.0
Variance (%)           15.3    14.9    14.3    13.5    12.9    12.0
Cummulative variance   15.3    30.3    44.7    58.3    71.2    83.2
Plant species
  P. aculeata          -0.54   0.88    -0.12   -0.03   0.01    0.07
  G. ulmifolia         0.83    -0.14   -0.24   0.03    -0.33   -0.03
  L. leucocephala      0.04    -0.13   -0.90   0.10    -0.12   -0.13
  S. yapa              0.01    0.08    0.35    0.82    -0.07   -0.01
  P. piscipula         0.75    0.47    0.15    -0.11   -0.01   -0.07
  W. americana         -0.01   0.50    0.10    -0.23   0.20    0.75
  C. glandulosa        0.79    -0.03   0.23    -0.08   0.45    -0.11
  V. dentata           0.03    -0.19   0.67    -0.17   0.07    -0.15
  S. acuta             0.78    -0.21   0.10    -0.03   0.39    0.17
  P. ghiesbreghtii     0.19    -0.01   -0.08   -0.08   0.16    0.05
  Amaranthus sp.       -0.03   -0.11   -0.22   0.51    -0.75   0.25
  P. hysterophorus     -0.06   -0.11   -0.14   0.91    0.04    -0.02
  Tagetes sp.          -0.13   -0.01   -0.09   -0.09   0.34    0.81
  Desmodium sp.        0.15    -0.24   -0.14   0.13    -0.39   0.69
  P. maximum           -0.04   -0.43   -0.73   -0.10   0.87    -0.28
  C. nlemfuensis       -0.12   -0.16   -0.45   0.58    0.05    -0.25
  B. brizantha         0.01    0.92    -0.01   -0.06   -0.08   -0.06
COPYRIGHT 2018 Universidad de Costa Rica
No portion of this article can be reproduced without the express written permission from the copyright holder.
Copyright 2018 Gale, Cengage Learning. All rights reserved.

Article Details
Printer friendly Cite/link Email Feedback
Author:Poot-Pech, Mario A.; Ruiz-Sanchez, Esau; Gamboa-Angulo, Marcela; Ballina-Gomez, Horacio S.; Reyes-Ra
Publication:Revista de Biologia Tropical
Date:Mar 1, 2018
Words:6404
Previous Article:Los agroecosistemas cafetaleros modernos y su relacion con la conservacion de mariposas en paisajes fragmentados.
Next Article:Comparative reservoir limnology in Juramento (Salta) and Sali-Dulce (Tucuman) Basins in Argentina.
Topics:

Terms of use | Privacy policy | Copyright © 2021 Farlex, Inc. | Feedback | For webmasters |