Método de Correlación de Humedad Edáfica en Suelos Intervenidos Forestalmente y Protegidos en el Páramo de Siscunsí, Boyacá

Abstract

2 2. Abstract The páramos, renowned for their vital importance in water regulation in the tropics of the earth, turn out to be very unique ecosystems; its meteorological and geological characteristics, make it endemic and sensitive diversity. Due to this, they are susceptible to any type of modification to the ecosystem, as for example the alteration in the vegetal cover or the insertion of nonnative species of the zone. This type of transformation to the ecosystem results in changes that affect the water regulation in terms of water retention, which has a background in the natural management of the water cycles of loading and unloading in the moors. This context was framed in two specific areas of the Siscunsí páramo, located in the municipality of Sogamoso, Boyacá, one presenting a very low impact of intervention by introduced species of forest type, being considered almost null, the other offered a scenario of contrast, because there the forest intervention is very high, in addition that it has remained throughout the years in the páramo to realize a timber production by means of the pines. Therefore, in order to identify the variation of the vegetation sector by plots, in the same way it was also possible to identify the changes between the vegetation cover and the water retention for both scenarios, In water potential in the soils of both areas with the support of water retention curves, identifying changes in slope level, to conclude in the statistical regression model to identify the level of significance of individuals of pine, frailejones and Fungi on edaphic moisture located in the studied areas. An evident contrast was found in the soil-moisture-plant system, where the steep slopes showed higher humidity levels and larger agglomerations of frailejones. Additionally, it is demonstrated that a bias by orography increases the correlation between humidity and the number of individuals recorded in both zones and on the other hand the models generated show a difference between the management of integrating the variables of the predictive factors, making the model obsolete to integrate them all, and useful when they are treated independently.