Examinando por Materia "REGIONES BIOGEOGRÁFICAS"
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Ítem Coalescent-delimitation framework and ecogeographic patterns disentangle the species boundaries within the Neotropical mouse-opossums subgenus Marmosops(Universidad EAFIT, 2022) Carillo Restrepo, Jhan Carlos; Díaz Nieto, Juan FernandoThe Neotropics encompasses a wide range of biomes and habitat types that place it as one of the most important Earth's regions for understanding the prevalence of cryptic and unknown diversity. However, it has been shown that this region is one of the least represented in genetic data in the tree of life. Therefore, advancing intra and interspecific genetic revisions in this region represents a major scientific priority to reduce our ignorance of the planet's biodiversity. American marsupials of Marmosops subgenus are distributed in a wide variety of Neotropical habitats, so it is an attractive group to undertake studies on Neotropical diversification processes, but such research is hindered by the fact that we do not yet fully understand the species limits of some groups within the subgenus. Herein, we evaluate the evolutionary independence of 13 morphologically-cryptic mtDNA haplogroups within Marmosops that were identified by our previous single-locus species delimitation analyses. For this purpose, we analyzed a multi-locus dataset (12 unlinked nuclear loci and one mtDNA locus) in a Bayesian Multi-Species Coalescent framework implemented in BPP, combined with heuristic criterion (gdi) that incorporated the speciation-continuum process into species delimitation analyses, to further understand the genetic boundaries within this Neotropical mouse opossum’s clade. Our BPP analyses recovered each of the 13 haplogroups as independent evolutionary lineages. However, heuristic gdi showed that the tested lineages are across the entire spectrum of the speciation continuum, and that only seven lineages recognized by BPP correspond to “true” species. Three of these seven lineages are currently recognized as valid species, demonstrating the effectiveness of our study; while ecogeographic patterns information revealed that the remaining four lineages have promising information to be recognized as possible new species for science.Ítem Monitoreo de las obras piloto de recarga artificial en el acuífero Morroa, departamento de Sucre, Colombia(Universidad Eafit, 2020) Navarro Mercado, José Luis; Jaramillo Uribe, MarcelaÍtem Vulnerabilidad intrínseca a la contaminación del Sistema Acuífero del Altiplano Nariñense aplicando el método GOD(Universidad EAFIT, 2023) Patarroyo Barragán, Laura Lucía; Enríquez Hidalgo, Laura Sofía; Jaramillo Uribe, MarcelaThe capacity of an aquifer to be contaminated depends on its intrinsic properties, that is the possibility of substances entering on it, due to hydraulic properties of the overlying lithology. The main cause of contamination is given by anthropogenic activities on the surface. The Altiplano Nariñense Aquifer System (SAAN) is influenced by geomorphological features that allow the recharge of the system, from this, it was proposed that the infiltration of polluting loads is correlated with the topography. To estimate vulnerability, geological, hydrogeological information and water points sampled in 2005-2006 were collected, which allowed us to apply the GOD method that involves three parameters related to the type of aquifer, lithology of the unsaturated zone and depth of groundwater. Three of the five vulnerability indices proposed by this method were evident, associated to the classification “very low”, “medium” and “high”, where medium vulnerability predominates with 51.09% of the total area. Because the main use of land in the Altiplano Nariñense (AN) is for agriculture and this activity requires agrochemicals, there is a probability that these are the main contaminants, and it is also evident that a part of the surface water system has a high index of potential alteration of water quality and its interaction with the aquifer system would also contribute to the dispersion of contaminants. The result was compared with the vulnerability map with the land cover map in the AN, which indicates that 88.44% is destinated to agricultural territories.