Although the presence of cryptic host specificity has been documented in Blastocystis, differences in infection rates and high genetic polymorphism within and between populations of some subtypes (ST) have impeded the clarification of the generalist or specialist specificity of this parasite. We assessed the genetic variability and host specificity of Blastocystis spp. in wild howler monkeys from two rainforest areas in the southeastern region of Mexico. Fecal samples of 225 Alouatta palliata (59) and A. pigra (166) monkeys, belonging to 16 sylvatic sites, were analyzed for infection with Blastocystis ST using a region of the small subunit rDNA (SSUrDNA) gene as a marker. Phylogenetic and genetic diversity analyses were performed according to the geographic areas where the monkeys were found. Blastocystis ST2 was the most abundant (91.9%), followed by ST1 and ST8 with 4.6% and 3.5%, respectively; no association between Blastocystis ST and Alouatta species was observed. SSUrDNA sequences in GenBank from human and non-human primates (NHP) were used as ST references and included in population analyses. The haplotype network trees exhibited different distributions: ST1 showed a generalist profile since several haplotypes from different animals were homogeneously distributed with few mutational changes. For ST2, a major dispersion center grouped the Mexican samples, and high mutational differences were observed between NHP. Furthermore, nucleotide and haplotype diversity values, as well as migration and genetic differentiation indexes, showed contrasting values for ST1 and ST2. These data suggest that ST1 populations are only minimally differentiated, while ST2 populations in humans are highly differentiated from those of NHP. The host generalist and specialist specificities exhibited by ST1 and ST2 Blastocystis populations indicate distinct adaptation processes. Because ST1 exhibits a generalist profile, this haplotype can be considered a metapopulation; in contrast, ST2 exists as a set of local populations with preferences for either humans or NHP.

A large variety of mammals act as natural reservoirs of Trypanosoma cruzi (the causal agent of Chagas disease) across the American continent. Related issues are infection and parasite burden in these reservoirs, and whether they are able to control T. cruzi infections. These parameters can indicate the real role of mammals as T. cruzi reservoirs and transmitters. Here, two species of mammals, white-nosed coati (Nasua narica) and raccoon (Procyon lotor), were examined for to determine: a) T. cruzi presence, and; b) their ability to control T. cruzi infection. Multiple capture-recaptures of both species were carried out in semi-wild conditions in Villahermosa, Tabasco, Mexico, for 5 years. Two samplings per year (summer and winter) took place. Prevalence and pattern of T. cruzi infection were determined by PCR from both mammals’ blood samples. Raccoon samples had a higher relative infection values (26.6%) compared to those of white-nosed coati (9.05%), being this difference significant in summer 2012 (P < 0.00001), summer (P = 0.03) and winter 2013 (P = 0.02). Capture and recapture data indicated three infection dynamics: 1) negative–positive-negative infection; 2) positive–negative-positive infection; and 3) positive at all sampling times. These results indicate that both coati and raccoons may be able to control T. cruzi infection. Thus, the role as efficient reservoirs could be questioned (at least for those times when mammals are able to tolerate the infection). However, while infected, they may also be able to approach human dwellings and play a role important in linking sylvatic and domestic cycles.

Agrosystems have different canopy strata due to shade trees that serve as available habitats for endangered species such as birds, reptiles, and mammals. LiDAR is a technology used to assess habitat quality as a support for designing conservation strategies. The objective of this research was to develop a model with data derived from LiDAR to obtain the height of the shade canopy in cocoa agrosystems, as a habitat available for wildlife species. Through the data of the height of the vegetation taken in the field and the data obtained from a LiDAR point cloud, the Canopy Height Model was generated. The data from the mapping of the canopy height model of the agrosystems taken as study sites were validated using the coefficient of determination (R2), mean absolute error (MAE), and the RMSE. The mean canopy height at the study sites was 14.63, 13.84, and 13.95 m, and the results of the validation using the model predicted canopy height shows good agreement with the actual value with an R2 of 0.86, and very low values of MAE=1.88, MSE=5.64, and RMSE=2.37, which indicates that they have an acceptable degree regarding the canopy height model between the LiDAR data and the data taken in the field. Research using LiDAR provides useful information to determine the height of the canopy, in the cocoa agrosystems up to 3 strata are found, this is due to the diversity of tree species used as shade, ranging from timber, fruit, ornamental, which are used as feeding, nesting, and resting of wildlife, in the study area populations of howler monkey species that are listed as endangered by the International Union for Conservation of Nature (IUCN), in addition to other species such as bats and birds, with the presence of these species indicate that the cocoa agrosystems, serve as a habitat for a diversity of species, which is why it is important to conserve these agrosystems in the humid tropics.

Antecedentes y Objetivos: El cambio de uso del suelo generado por actividades humanas, ha fragmentado los corredores ribereños causando cambios en la diversidad y estructura de su vegetación. El objetivo de este estudio fue comparar la diversidad, estructura y similitud florística en cinco sitios del río Tacotalpa en Tabasco, México, relacionando las variables de vegetación con métricas del paisaje.Métodos: Se realizó un muestreo en cinco sitios del río Tacotalpa: Tapijulapa (s1), Arroyo Chispa (s2), Nuevo Madero (s3), Mexiquito (s4) y Oxolotán (s5). En cada sitio se establecieron 20 unidades de muestreo de 10 × 10 m. Los árboles y arbustos con un DAP≥1 cm fueron censados. La diversidad y estructura se comparó con un ANOVA de un factor. La similitud florística entre sitios se comparó con un cluster Bray-Curtis correlación de Pearson y ACP entre las variables de vegetación y métricas del paisaje, usando PAST y SPSS.Resultados clave: Se registraron 2589 individuos en 38 familias, 92 géneros y 119 especies. La diversidad 0D del s2 fue estadísticamente menor que en s1 y s3, mientras que 1D fue similar en los cinco sitios. La densidad de árboles del s1 fue significativamente mayor que s2, s3 y s5. Los promedios del DAP y altura del s1 fueron bajos, mostrando significancia con el s2 (p<0.05). La similitud florística osciló entre 0.41 a 0.58. La diversidad orden 0D, las especies arbustivas y la densidad de árboles se correlacionaron positivamente con algunas de las métricas del paisaje. La diversidad 1D y especies arbóreas se correlacionaron positivamente con la distancia de carretera pavimentada, y la altura con la de terracería.Conclusiones: Las diferencias entre los sitios sugieren que existen diferentes niveles de perturbación en el río Tacotalpa. Las correlaciones positivas entre las variables de vegetación y métricas del paisaje indican que las infraestructuras cercanas a la ribera modifican la diversidad y estructura de la vegetación ribereña.

El incremento del nivel del mar se ha acelerado por el calentamiento global. Las zonas más amenazadas son las pequeñas islas y las planicies costeras. Tabasco se localiza en una llanura costera inundable. Utilizando información demográfica, valores de erosión costera y datos globales de elevación del nivel del mar, se identificó el área, y las localidades en ella, entre cero y un metro sobre el nivel del mar. Los resultados indican que 55.58% de la superficie estatal está en este rango. La potencial pérdida de territorio podría afectar a 76 localidades, transformando las posibles actividades productivas que se realicen.