Monteleon forest is the only ecosystem of the Andean Forest that Manizales has in its urban area, and since 1970 it has been exposed to an evident fragmentation of the landscape and loss of habitat due to urban expansion, lack of public intervention, pollution, the exploitation of resources and the ignorance of its biological richness. It is intended to determine the richness, diversity, composition and structure of the vascular flora of Monteleon forest through a field phase where will carry out the collection of vascular plants, a herbarium phase where taxonomic identification will be carried out and a data analysis phase where diversity will be evaluated. Monteleon is a forest with historical importance for the city of Manizales and with representative characteristics of the biodiversity of the tropics, therefore, this project intends to present a floristic inventory and provide relevant information that evidences the state of this relict and finally motivates future conservation actions in the area.
The genus Anthurium Schott. is one of the most diverse genera in the family Araceae, divided into 18 sections, including section Tetraspermium Schott. which contains the best known and widely distributed species A. scandens with its two subspecies: A. scandens subsp. scandens and A. scandens subsp. pusillum. Anthurium scandens and its related species A. obtusum were considered conspecific, and A. obtusum was suggested to be a synonymy of A. scandens or alternatively a variety thereof. However, although morphological and genetic analysis support some differences between the two species, confusion still exists when identifying A. scandens and A. obtusum, and even between the two subspecies of A. scandens, because vegetative anatomy in the Araceae family is very diverse even between individuals of the same species. Therefore, the objective of this study is to establish morphological characters of taxonomic importance, from an anatomical approach of the leaves, that allow to reinforce the taxonomic distinction and contribute to the solution of this species complex for its conservation.
An algorithm based on iterated linear regressions for estimating missing data is proposed. The performance of the proposed algorithm is compared with the performance of some algorithms for data imputation incorporated in the R program, and with the performance of the mean and median algorithms. Synthetic data and some databases in R program are considered.
Colombia is the second country with the highest richness of plants in the world. One of the hotspot of biodiversity in the country are the Andes. Through a series of expeditions, we have found some undescribed species, which we have taken the courage to describe.
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