Search

Background: Mesoamerica is one of the most important biodiversity hotspots on the planet. Despite significant efforts made over two centuries to contribute to the floristic knowledge of this region, our understanding of its flora is still scattered and uneven. Questions: What is the magnitude of the vascular plant species richness in the Usumacinta River Basin? Study site and dates: Usumacinta River Basin (Guatemala and Mexico), 1838-2018. Methods: We compiled the checklist by systematizing the floristic information acquired from various sources derived from numerous floristic and ecological studies. Results: We recorded 6,977 species, 1,892 genera and 274 families. The largest numbers of species (5,746) and records (58,859) correspond to the Mexican portion of the Usumacinta River Basin, compared to its Guatemalan counterpart (4,445 species and 19,952 records). The most species-rich families were Orchidaceae (598 species), Fabaceae (512), and Asteraceae (476). The prevalence of these and all other families with significant contributions to the flora varied among three elevation-defined sectors into which the Usumacinta River Basin was subdivided (lower, middle, and upper basin). Conclusions: The Usumacinta River Basin is a strategic region for plant biodiversity conservation as it hosts almost one third of all vascular plant species known for Mesoamerica and ca. 6 % of the entire flora in the Americas. Further botanical exploration should focus on those areas of the basin for which little or no information is available in order to gain a better appreciation of its flora.

Este trabajo pretende abrir un diálogo sobre las experiencias de inter y transdisciplina al interior de los programas formativos de la Universidad Iberoamericana (Ibero). El proceso de construcción se realizó a partir de una revisión teórica y conceptual, así como de la aplicación de herramientas mixtas que recogen las experiencias y perspectivas de los grupos académicos a través del diálogo, entrevistas semiestructuradas y de encuestas destinadas a los directores de las divisiones y a los directores y coordinadores de los departamentos y centros de la universidad. Los resultados obtenidos muestran que una tercera parte de los programas que ofrece la universidad se encaminan principalmente hacia la inter y transdisciplina mediante planes de estudio, prácticas profesionales y servicio social. Lo anterior permite iniciar un diálogo y plantear una serie de reflexiones que se orienten hacia la construcción de una comunidad de aprendizaje. Nuestra propuesta, desde el Centro Transdisciplinar Universitario para la Sustentabilidad (Centrus), es construir, de manera conjunta, una agenda y una hoja de ruta, para quienes queremos tomar este rumbo, en el que se incluyan a todos los actores involucrados dentro y fuera de la academia; que se trabaje de forma colaborativa en proyectos viables, y se otorgue un acompañamiento puntual y continuo a la difusión y medición de los resultados.

Recent models suggest that anthropogenic global warming will lead to an increase in the number of major hurricanes, which have strong effects on ecosystems and may modify animal population characteristics. The goal of this study was to assess the body condition of American crocodiles Crocodylus acutus of Cozumel and Banco Chinchorro islands, Mexico, and use it as a tool to better understand short- and long-term effects of hurricanes on crocodilian populations. Changes in body condition (Fulton’s K) of 392 crocodiles, captured between 2003 and 2015, were assessed and analyzed in response to a major hurricane through different environmental factors. Differences among populations and size classes, and between sexes, together with seasonal variation, were also evaluated. The body condition of crocodiles was generally good, with better condition for Banco Chinchorro, suggesting that these populations and the ecosystems they inhabit are healthy. Body condition for hatchlings and adults was higher than for other classes, with adults exhibiting the best condition. Body condition of Banco Chinchorro individuals varied seasonally, responding to reproductive events and environmental parameter fluctuations. We also found that C. acutus body condition is sensitive to the passage of tropical cyclones, most likely through their effects on salinity, temperature, and prey availability. Tropical cyclones have a 2fold effect on populations. In the short-term, crocodile health is negatively affected by disturbance, while the species seems to maintain and improve its body condition over the longer term. An increase in strong tropical cyclone frequency could impede the recovery of populations, while causing a continual decrease in crocodile body condition.

Antecedentes: La Reserva de la Biosfera Pantanos de Centla (RBPC) es considerada uno de los humedales más importantes de Mesoamérica. El objetivo principal de este estudio fue actualizar el listado de plantas vasculares con base en la revisión e integración de fuentes de información. Preguntas: ¿Cuál es la riqueza actual de plantas vasculares nativas en la RBPC? ¿Cuál es la forma de crecimiento y hábito más frecuente de estas especies? ¿Qué proporción de plantas son acuáticas? Área de estudio: Reserva de la Biosfera Pantanos de Centla, México. Métodos: La lista de especies se hizo a través de una revisión de la literatura, de colecciones digitales y herbarios. Resultados: La flora incluyó 813 taxones específicos, distribuidas en 462 géneros y 115 familias, de las cuales 731 son especies nativas, 64 introducidas y 18 cultivadas. Incluyendo únicamente a especies nativas, las familias mejor repsentadas fueron fueron Fabaceae, Poaceae y Cyperaceae. Las herbáceas fueron la forma de crecimiento más abundante con 432 especies, el hábito terrestre fue el más frecuente con 440 especies, incluyendo 63 acuáticas y 85 hidrófitas. Esta lista florística aumenta en un 15 % las especies nativas que se habían registrado para el RBPC Conclusiones: La actualización de la lista florística representa un aumento significativo en la diversidad de plantas vasculares para los humedales mexicanos. Esta información contribuye a la toma de decisiones correctas para el manejo de la biodiversidad de la RBPC y a un profundo conocimiento de los humedales en el país.

Despite the ecological importance of wetland forests, their classification is still unsatisfactory, partly due to insufficient knowledge about the environmental drivers of their spatial heterogeneity. We examined the spatial variation of six community attributes in a tropical wetland forest and analyzed the underlying causes by using linear distance measures and geomorphological zonation as proxies of environmental heterogeneity. The study was conducted in a wetland forest located on a coastal plain of southern Mexico. Vegetation was sampled in two distinct landforms: coastal lagoon and river channel. For each plot we determined two other proxies of environmental variation, namely distance to the sea, and distance to closest water body. We assessed the effects of these environmental factors on wetland forest attributes through linear modelling. Except for species richness, all other attributes were heterogeneous across space, with aboveground biomass showing the largest variation. Overall, forest structural attributes in plots located along the highly dynamic main river channel were higher than those recorded around a relatively stable coastal lagoon, suggesting better conditions for wetland forest development in the former area. Models consistently included geomorphological zone, as well as distance proxies in most of them, with variable effects on community attributes. The spatial variation of this wetland forest was associated with different combinations of environmental proxies, with geomorphology being a key driver of this variability. A thorough understanding of the factors driving the spatial variation of wetland forests will lead to a more sensible ecological classification.

The U-net is nowadays among the most popular deep learning algorithms for land use/land cover (LULC) mapping; nevertheless, it has rarely been used with synthetic aperture radar (SAR) and multispectral (MS) imagery. On the other hand, the discrimination between plantations and forests in LULC maps has been emphasized, especially for tropical areas, due to their differences in biodiversity and ecosystem services provision. In this study, we trained a U-net using different imagery inputs from Sentinel-1 and Sentinel-2 satellites, MS, SAR and a combination of both (MS + SAR); while a random forests algorithm (RF) with the MS + SAR input was also trained to evaluate the difference in algorithm selection. The classification system included ten classes, including old-growth and secondary forests, as well as old-growth and young plantations. The most accurate results were obtained with the MS + SAR U-net, where the highest overall accuracy (0.76) and average F1-score (0.58) were achieved. Although MS + SAR and MS U-nets gave similar results for almost all of the classes, for old-growth plantations and secondary forest, the addition of the SAR band caused an F1-score increment of 0.08–0.11 (0.62 vs. 0.54 and 0.45 vs. 0.34, respectively). Consecutively, in comparison with the MS + SAR RF, the MS + SAR U-net obtained higher F1-scores for almost all the classes. Our results show that using the U-net with a combined input of SAR and MS images enabled a higher F1-score and accuracy for a detailed LULC map, in comparison with other evaluated methods.

Deforestation is a major factor reducing natural habitats, leading to tropical ecosystems and biodiversity loss worldwide. The Lacandona region in southern Mexico holds one of the largest fragments of tropical rainforest in North America. We evaluated the deforestation of the Lacandona region harmonizing concepts and methodologies. An international (FAO definition), governmental (national definition), and regional definition of deforestation with applications at different scales were analyzed and harmonized with two classification methods (likelihood and spectral angle mapper (SAM)). We used 2015 and 2018 Landsat 8 images, and likelihood and SAM classifications were applied for FAO and regional definitions of deforestation. Overall, the best evaluated classifier in quantity was likelihood for 2015 and 2018 (kappa: 0.87 and 0.70, overall accuracy: 91.8 and 80.4%, and quantity disagreement: 4.1 and 10 %, respectively). The allocation disagreement only showed exchange between classes. Nevertheless, they did not show differences between classifiers, although 2015 had less disagreement than 2018: exchange, 4.1% for likelihood and SAM; shift: 0% for likelihood and SAM. Maps based on the regional definition of deforestation showed that the likelihood classification detected 11,441 ha less deforestation than SAM (40,538 and 51,979 ha, respectively). The FAO definition of deforestation showed that likelihood classification detected 11,914 ha less deforestation than SAM classification (37,152 and 49,066 ha, respectively). Further, the likelihood classification showed 3387 ha more of deforestation according to the regional definition than the FAO definition of deforestation (40,538 and 37,152 ha, respectively). SAM classification showed that the regional definition showed 2913 ha more deforestation than the FAO definition (51,979 and 49,066, respectively). We concluded that implementation of governmental programs in the Lacandona region requires estimations based on a careful selection of deforestation definitions and methods.

The provision of valuable ecosystem services by tropical swamp forests (mainly carbon sequestration and storage in biomass and soil) explains their ecological importance. Current efforts toward the conservation of these ecosystems, however, face strong limitations as their spatial variation is largely unknown, particularly in regions where they occur over large areas. Here, we analyze the &alpha, diversity (i.e., effective number of species or true diversity) and community structure variability of three tropical swamp forest communities distributed along an approximately 300 km long portion of the Usumacinta River Basin, southern Mexico. We sampled eighty-three 625-m2 plots to characterize the diversity and structural attributes of the woody plant communities. We recorded 2302 individuals belonging to 60 species and 25 families. Both &alpha, diversity and structural attributes differed significantly among the three communities. The most inland community stood out for having the highest &alpha, diversity for three true diversity values. Interestingly, the mangrove Rhizophora mangle L. was one of the dominant species, both in the swamp forest located closest to the coast and in the community farthest away from the sea. Basal area and density of individuals also had their maxima in the most inland swamp forest. The diversity and structural differences observed among the examined swamp forests seem to be related to contrasting environmental conditions, such as water salinity, distance to the coastline, and the hydrological dynamics of the Usumacinta River. We emphasize the urgency to conserve R. mangle populations in the swamp forest located farthest away from the coast due to its unusual habitat association, which appears to be a relictual condition.

Actualmente, las imágenes Landsat corresponden a uno de los acervos de mediana resolución de mayor uso e impacto. Por otro lado, la aparición de herramientas como Google Earth Engine ha permitido potenciar enormemente el procesamiento y los resultados obtenidos a partir de estas imágenes. En este estudio se consultó el acervo de imágenes Landsat disponibles en Google Earth Engine para México en el periodo 1972 – 2017 con el fin de analizar el potencial de dicho acervo para estudiar el territorio nacional. En esta consulta se incluyó la información del sensor que lo registró, la clave de la imagen (path / row) y las condiciones de nubosidad sobre la superficie terrestre. En total se encontraron 89,649 imágenes disponibles que cubren todo el país en el periodo mencionado. No obstante, los resultados mostraron que para el período 1972 – 1992 (Landsat 1 – 4) prácticamente no existen imágenes disponibles para México. Por el contrario, a partir de 1993 se encontró un acervo de imágenes numeroso y continuo. Por ello, se sugiere utilizar como periodo inicial 1993 para cualquier estudio futuros interesado en caracterizar la dinámica de la superficie en territorio mexicano a mediano plazo (p. ej., cambio uso de suelo). El mayor número de imágenes fue registrado por el sensor Landsat 5 TM (38,897 imágenes), seguido del 7 ETM+ SLC-off (31,254 imágenes). Por último, para fomentar el uso de Google Earth Engine para el procesamiento de imágenes se programó una rutina para construir mosaicos anuales disponible para cualquier usuario.

Tree structure parameters of mangrove forests are hard to measure in the field and therefore inventories of this type of forests are impossible to keep up to date. In this article, we tested a structured pointcloud segmentation method for extracting individual mangrove trees. Structure parameters of individual trees were estimated from the segmented pointcloud and its 3d geometry was generated using revolution surfaces. Estimated parameters were then assessed at both plot and tree levels using field data. It was observed that the number of segments in each test plot agreed well with the number of trees observed in the field. Nonetheless, the estimated parameters exhibited mixed accuracy with top height being the most accurate.

Graduate education (GE) on climate change (CC) and sustainable development (SD) is one of the most pressing issues that we need to face. The current environmental crisis and the emerging socio-political and economic stressing events call for new strategies and policies to secure our planet. Here we argue that GE represents one of the most lasting, effective, and comprehensive measures to foster adaptation to face the challenges imposed by all kind of CC manifestations. In Mexico, GE on CC and SD could serve as a means for ensuring the achievement of national development objectives and international commitments. In this context, our study aims to analyze the offer and content related to CC and SD in GE in Mexico. To achieve this, a search and selection of Mexican graduate programs related to SD and CC was conducted. Then, two methods of content analysis were used to analyze curricular content of these programs: a word frequency analysis and a cluster analysis. This study offers a first approach to understand the problematic situation of education in Mexico as a lever to enjoying better living contexts; however, it also represents an opportunity to highlight and open a discussion on the threats that CC imposes and the need to train human resources as experts in CC able to search, elaborate, and coordinate adaptation measures to solve development issues on an ad hoc basis. Our results also suggest that there are very few programs targeting CC, and consequently not enough experts being trained in Mexico.

Tropical wetlands are important in the global carbon (C) cycle and climate system. To elaborate government policies that protect wetland ecosystem services, spatially explicit data on the existing C stocks are needed. This study quantified above and below ground C stocks in mangrove, swamp forests, marshes, and grazed wetlands in three different regions in Mexico (Veracruz, Tabasco/Campeche, and Chiapas states), using a combination of remote sensing techniques and field data collection. We report a 0.688 Gt C stock in the areas investigated showing that these wetlands hold important C stocks. The total C stock of Mexico’s wetlands is expected to be considerably larger as our study is not a complete survey of Mexico’s total wetland area. Across the three regions, the currently unprotected swamp forests and marshes had substantial peat deposits storing ≈ 0.232 and 0.375 Pg C, respectively. The high C stocks found in swamp forests (1801 ± 283 Mg C ha−1) and marshes (1100 ± 376 Mg C ha−1) are likely to be vulnerable to human interventions such as drainage. Flooded grasslands, used for grazing, had substantially lower C storage (271 ± 122 Mg C ha−1), showing that grazed areas are less effective as C stores. Across sites the belowground C pool that was two orders of magnitude greater than the aboveground biomass C stocks. Carbon storage in wetland vegetation types differed among the three study regions, indicating the need for developing government policies considering a specific regional approach to protect the C stocks of coastal wetlands. Given that freshwater swamps had the greatest C stocks and freshwater marshes stored most C, these wetland peat deposits should be prioritized for conservation, via new legislation or inclusion in payment for ecosystem services schemes.

Antecedentes y Objetivos: Las epífitas vasculares son elementos poco comunes en manglares debido a que la salinidad del agua de mar impone condiciones extremas que dificultan su establecimiento. En el sur de México se han realizado estudios sobre las relaciones epífitas-forófito, principalmente en bosques montanos, pero hay pocos trabajos enfocados en los manglares. El objetivo de este trabajo fue analizar las relaciones entre la riqueza de epífitas y las características de los forófitos de Rhizophora mangle, especie amenazada de acuerdo a la NOM-059-SEMARNAT-2010, en la Reserva de la Biosfera “Pantanos de Centla”, ubicada en el noreste del estado de Tabasco.Métodos: Se evaluó la relación entre la riqueza de epífitas y algunas variables de los forófitos, como la altura, el diámetro a la altura del pecho (DAP) y la cobertura de raíces aéreas, mediante modelos de regresión lineal. Además, los forófitos se dividieron en cinco zonas verticales para analizar la distribución vertical de las epífitas aplicando los índices de Sørensen y Margalef.Resultados clave: Se registraron 17 especies de epífitas. Orchidaceae y Bromeliaceae fueron las familias con mayor riqueza (seis especies cada una). El género más representativo fue Tillandsia (Bromeliaceae) con cinco especies. La riqueza de epífitas estuvo significativamente relacionada con la cobertura de raíces aéreas y el DAP de los forófitos. Las zonas I y III de los forófitos fueron las más similares ya que compartieron 47% del total de las especies registradas. La zona I (raíces aéreas) fue la más rica en especies de epífitas. En la zona V (parte exterior de la copa) solo se encontró a Selenicereus testudo (Cactaceae), especie también hallada en el resto de las zonas. El área de manglar estudiado presenta una riqueza relativamente alta de epífitas pese a la alta salinidad presente en su hábitat inundado.Conclusiones: La variación de los tamaños de los forófitos determinó la riqueza de epífitas. Las raíces aéreas de R. mangle son un nicho adicional para la colonización de epífitas y no solamente sirven como soporte al suelo inestable del ecosistema de manglar.

Societal processes of rural change and globalization may change homegardens and their contribution to the conservation of agrobiodiversity, particularly of species occurring naturally in regional vegetation. The best way to determine if this occurs is through longitudinal studies. We conducted such a study, inventorying tree species in a sample of 38 homegardens in 2009, 2012 and 2015. The homegardens were located in the subregions of mountain slopes, fluvial plains and coastal plains in the tropical lowlands of Tabasco, Mexico. We analysed changes in species richness by geographic origin, species richness and species composition in each inventory. We identified 169 tree species in the three inventories, of which 74.6% were native or neotropical and 25.4% introduced. Of the 140 species recorded in 2009, 88% remained in 2015, whereas 12% had been replaced and nine additional species had arrived. Mean species richness increased between 2009 and 2015 (P = 0.03) and between 2012 and 2015 (P = 0.001). Increases resulted from increased mean neotropical (P = 0.01) and introduced (P = 0.01) species richness, and constant native species richness. Differences in species composition between the three subregions in 2009 persisted in 2012 and 2015 (P

The role of canopy gaps in tropical dry forest (TDF) dynamics remains unclear. Here, 75 canopy gaps, mostly formed by the fall of Bursera spp. and Pachycereus pecten-aboriginum individuals, are described, and their potential consequences for forest regeneration are analysed in a Mexican TDF. In 50 randomly selected gaps, understorey vegetation was sampled with a paired design (inside and outside gaps) and by distinguishing two plant height categories. In total, 1940 plants were recorded (63% in gaps and 37% in non-gap plots). Community attributes (density, community cover, taxonomic richness and Shannon diversity) were significantly higher for both height categories in gap plots. Conversely, neither an NMDS ordination nor a multinomial classification of 187 species by habitat affinities revealed floristic segregation between gaps and non-gaps; almost all species were classified as habitat generalists, with only a few opportunistic forbs (but no single tree species) being classified as gap specialists. The most important effects of gap formation are significant increases in plant abundance and species richness, but not a different species composition. Against earlier views that gap-phase dynamics is inconsequential for TDF dynamics, these results suggest a more active, albeit modest, role of treefall gaps in TDF, through promoting an abundant establishment.

Sex in crocodilians is not determined by chromosomes, but by egg incubation temperature, where different temperatures produce different clutch sex ratios. Two patterns have been proposed to describe these changes in sex ratios: a 100% female proportion at low and high temperatures with male predominance at intermediate ones (FMF) or a simpler pattern with a single female-to-male transition (FM). Over the last three decades, researchers have provided empirical information to support either of these two patterns in different species; however, no consensus has been reached partly because data have not been analysed as a whole. Here, we aimed at gathering the existing data on these patterns to provide models of temperature-dependent sex determination in those crocodilians studied so far. Potentially relevant publications were searched on Web of Knowledge, Scopus, Scielo and Science Direct. Studies that reported results on the sexual identity of crocodilian hatchlings obtained from constant temperature incubation treatments were considered. Using statistical models varying in their underlying assumptions, we evaluated which sex-determination pattern was best supported for the studied crocodilians and constructed species-specific and latitude-specific models. Based on the 8,458 sexed hatchlings studied throughout 31 studies, we show that the evidence supports a shared FMF pattern in all the crocodilian species for which enough data are available. We find that such pattern changes between species and at different latitudes. These results suggest a lability of the FMF crocodilian sex-determination pattern, a key feature under the present climate change scenario.

Numerous studies have focused on the relationship between landscape structure and plant diversity based on the patch‐mosaic landscape paradigm, by deriving structural data from classified images. Since the use of discrete classes poses limitations for predicting biodiversity patterns in complex, low human‐impacted ecosystems, two alternative methods have been used to analyze changes of landscape attributes in a continuum: moving‐window metrics and surface metrics (image texture). Here, we compare these two approaches for predicting richness of all plant species, legume species, legume trees, legume shrubs, legume forbs, and legume climbers across a tropical landscape in Mexico, based on the records of vascular plants in 250 10 × 10 m plots. Multiple regression and variance partitioning methods were used to analyze the effects of the two landscape descriptors (moving‐window and surface metrics), scale (400‐ and 200‐m moving‐window sides), and space (based on the extraction of principal coordinates of neighbor matrices’ vectors) on species richness. The predictive power of all metrics was relatively small for total species richness, but generally higher for legume species. For legume forbs, surface metrics‐based models indicated a direct association between species richness and landscape homogeneity. Moving‐window metrics were highly sensitive to the biological group and to spatial scale, likely due to a leftover effect of image classification procedures. Conversely, surface metrics were more independent from scale and taxonomy. Attempts to predict species richness in highly diverse, low human‐impacted tropical ecosystems more rapidly and accurately should better rely on surface metrics rather than on moving‐window metrics, in line with the continuous landscape paradigm.

Google Earth provides a freely available, global mosaic of high-resolution imagery from different sensors that has become popular in environmental and ecological studies. However, such imagery lacks the near-infrared band often used in studying vegetation, thus its potential for estimating vegetation properties remains unclear. In this study, we assess the potential of Google Earth imagery to describe and predict vegetation attributes. Further, we compare it to the potential of SPOT imagery, which has additional spectral information. We measured basal area, vegetation height, crown cover, density of individuals, and species richness in 60 plots in the oak forests of a complex volcanic landscape in central Mexico. We modelled each vegetation attribute as a function of surface metrics derived from Google Earth and SPOT images, and selected the best-supported linear models from each source. Total species richness was the best-described and predicted variable: the best Google Earth-based model explained nearly as much variation in species richness as its SPOT counterpart (R2 = 0.44 and 0.51, respectively). However, Google Earth metrics emerged as poor predictors of all remaining vegetation attributes, whilst SPOT metrics showed potential for predicting vegetation height. We conclude that Google Earth imagery can be used to estimate species richness in complex landscapes. As it is freely available, Google Earth can broaden the use of remote sensing by researchers and managers in low-income tropical countries where most biodiversity hotspots are found.

The importance of space as an ecological factor is an emerging paradigm in community ecology, particularly as a driving force of biodiversity patterns. We analysed β-diversity linked to spatial structure in four communities (tropical dry forest, savanna, xerophytic vegetation, subdeciduous forest) that occur in a tropical complex landscape of southern Mexico. The landscape was described through an object-oriented classification of a Quickbird satellite image. The classification revealed a highly heterogeneous spatial arrangement of the four communities. Global (landscape-level) P-diversity was 0.12 (mean Sorensen index), a value smaller than those observed for the individual communities (0.20-0.41). By using multivariate classic and partial Mantel tests, and Mantel correlograms based on two distance classes, we analysed P-diversity spatial variation related to landscape configuration. The Mantel statistic values for the four communities combined were negative and very similar both for the classic Mantel (rM = -0.23) and the partial Mantel test (rM = -0.19). Correlograms proved significant spatial autocorrelation across most of the analysed distance classes, except in the case of riparian subdeciduous forest. Tropical dry forest and savanna occupy large, highly connected areas in the landscape. Correlograms for these two communities showed decreasing trends, starting at positive, significant autocorrelation values at short distances. The loss of floristic autocorrelation beyond a 5000 m distance for the tropical dry forest may reflect spatially autocorrelated dispersal, and thus a dispersal-limited community. Xerophytic vegetation displayed a distinctly different correlogram, with a wavy shape showing an alternation of positive and negative values, in agreement with the insular configuration of this community in the landscape. We suggest that the routinely incorporation of a spatial approach in community ecology research will help in furthering our understanding of the elusive issues of species turnover across space.

Several remote sensing proxies, such as image texture, have been used to describe the spatial variation of different tropical forest’s attributes at medium scales. Fourier transformed ordination (FOTO) and gray level co-occurrence matrix (GLCM) are two texture methods frequently used in these studies but seldom compared. Therefore, the objective of this study was to compare the potential of these metrics to describe and predict structural and diversity attributes of a tropical swamp forest located in southeast Mexico. FOTO and GLCM textures were extracted from the panchromatic (Pan) band, the near-infrared (NIR) and red (R), of a very high spatial resolution (VHSR) image. Six different types of models that incorporated between one and three texture variables were constructed to describe each forest attribute. Simpson (R2 = 0.71) and Shannon (R2 = 0.67) diversity indices followed by the aboveground biomass (R2 = 0.65) were the attributes that obtained models with a higher goodness-of-fit values. In terms of its modeling potential, GLCM greatly surpassed FOTO textures. Our results show that VHSR textures (especially R- and NIR-derived GLCM metrics) allow for a reliable estimation of important tropical swamp forest attributes associated with its diversity and structure.

Resumen en español: "La agrobiodiversidad en agroecosistemas tropicales como huertos familiares se encuentra bajo presión, principalmente por la preferencia por cultivar especies comerciales. Consecuentemente, los huertos podrían dejar de contribuir a la conservación in situ de especies locales. Existen pocos estudios longitudinales y consenso general sobre los cambios, la disminución u homogenización de especies. Este trabajo es un estudio longitudinal regional de los cambios en abundancia, riqueza y composición en 38 huertos distribuidos sobre las subregiones de Costa, Planicie Fluvial y Montaña en Tabasco, México. Se analizó información de tres inventarios realizados en 2009, 2012 y 2015. Se identificaron 164 especies (74.39 % especies locales -nativas y neotropicales- y 25.61 % introducidas). Del total, 67 % se mantuvieron constantes y el 33 % se modificaron a lo largo de los años de medición. La riqueza observada aumentó significativamente (χ2(2)=9.021, P=0.01) de 2012 a 2015 (P = 0.004). En ese lapso incrementaron las especies neotropicales (χ2(2)=10.25, P =0.024) e introducidas (χ2(2)=6.96, P=0.008) y se mantuvo la riqueza de nativas. La composición de especies difirió subregionalmente en 2009 (R=0.19, P=0.001) y persistió en 2012 y 2015 (P=0.003 y 0.0001). La riqueza de especies observada se correlaciona positivamente con el número de árboles (r=0.79, P