Características del hábitat que regulan la estructura de las comunidades de macroinvertebrados en ríos tropicales de montaña (Antioquía, Colombia) / Habitat characteristics that regulate the structure of macroinvertebrate communities in tropical mountain rivers (Antioquía, Colombia)

Introducción: Las comunidades de macroinvertebrados son afectadas simultáneamente por la calidad del agua y las características físicas del hábitat acuático, complicando su uso en la bioindicación. Objetivo: Determinar cuáles variables del hábitat condicionan la comunidad de macroinvertebrados acuáticos en algunas corrientes (quebradas) de montaña del Oriente antioqueño (Colombia). Métodos: El muestreo se realizó en febrero 2021 (periodo de transición seco-lluvia), para evaluar variables físicas y químicas en tres tipos de mesohábitats: rápidos, rizos y pozas en corrientes con coberturas vegetales contrastantes. Los macroinvertebrados fueron recolectados en diez sitios de muestreo con red tipo net, pantalla y manual, y preservados en etanol al 70 %. Resultados: Se recolectaron 4 484 macroinvertebrados (16 órdenes, 46 familias y 75 géneros). El mesohábitat rizo presentó mayores valores de diversidad y abundancia, mientras las pozas presentaron los menores. Hubo diferencias en la concentración de oxígeno, profundidad, velocidad y abundancia de macroinvertebrados entre mesohábitats. Las pozas defirieron de los otros mesohábitats en profundidad, velocidad, así como en la composición, abundancia y riqueza de macroinvertebrados, y fue el hábitat de menor preferencia. Conclusión: La velocidad, profundidad y concentración de oxígeno disuelto, desempeñan un papel muy importante en el establecimiento de las comunidades de macroinvertebrados en los diferentes mesohábitats. En el mismo tipo de mesohábitat, la calidad de la cobertura vegetal determinó la diversidad y abundancia de esta comunidad.

Introduction: Macroinvertebrate communities are affected by water quality and physical characteristics of the aquatic habitat, simultaneously, complicating their use as bioindicators. Objective: To determine which habitat variables regulate the macroinvertebrate community in mountain streams in Eastern of Antioquia (Colombia). Methods: Sampling was carried out in February 2021 (dry-rain transition period), to evaluate physical and chemical variables in three types of mesohabitat: ripples, pools, and rapids in streams with contrasting vegetation covers. The macroinvertebrates were collected from ten sampling sites with a net, screen and manual type net preserved with 70 % ethanol. Results: 4 484 macroinvertebrates were collected (16 orders, 46 families and 75 genera). The ripples mesohabitat presented higher values of diversity and abundance, while the pools presented the lowest. There were differences for oxygen concentration, depth, speed, and macroinvertebrate abundance between mesohabitats. Pools differed from the other mesohabitats in depth, speed, as well as in composition, abundance, and richness in macroinvertebrates, and was the least preferred mesohabitat. Conclusion: Speed, depth, dissolved oxygen concentration played a very important role in the establishment of macroinvertebrates community in different mesohabitats. For the same type of mesohabitat, the quality of the plant cover determined both diversity and abundance of this community.

Appraisal of Phlebotomus argentipes habitat suitability using a remotely sensed index in the kala-azar endemic focus of Bihar, India

Visceral leishmaniasis, or kala-azar, is recognised as a serious emerging public health problem in India. In this study, environmental parameters, such as land surface temperature (LST) and renormalised difference vegetation indices (RDVI), were used to delineate the association between environmental variables and Phlebotomus argentipes abundance in a representative endemic region of Bihar, India. The adult P. argentipes were collected between September 2009-February 2010 using the hand-held aspirator technique. The distribution of P. argentipes was analysed with the LST and RDVI of the peak and lean seasons. The association between environmental covariates and P. argentipes density was analysed a multivariate linear regression model. The sandfly density at its maximum in September, whereas the minimum density was recorded in January. The regression model indicated that the season, minimum LST, mean LST and mean RDVI were the best environmental covariates for the P. argentipes distribution. The final model indicated that nearly 74% of the variance of sandfly density could be explained by these environmental covariates. This approach might be useful for mapping and predicting the distribution of P. argentipes, which may help the health agencies that are involved in the kala-azar control programme focus on high-risk areas.

Stratification of density in dry deciduous forest using satellite remote sensing digital data—An approach based on spectral indices.

Forest density expressing the stocking status constitutes the major stand physiognomic parameter of Indian forest. Density and age are often taken as surrogate to structural and compositional changes that occur with the forest succession. Satellite remote sensing spectral response is reported to provide information on structure and composition of forest stands. The various vegetation indices are also correlated with forest canopy closure. The paper presents a three way crown density model utilizing the vegetation indices viz., advanced vegetation index, bare soil index and canopy shadow index for classification of forest crown density. The crop and water classes which could not be delineated by the model were finally masked from normalized difference vegetation index and TM band 7 respectively. The rule based approach has been implemented for land use and forest density classification. The broad land cover classification accuracy has been found to be 91·5%. In the higher forest density classes the classification accuracy ranged between 93 and 95%, whereas in the lower density classes it was found to be between 82 and 85%.