Influence of Altitude and Climatic Factors on the Floristic Composition of the Moorlands of the Guamote Canton, Ecuador: Key Revelations for Conservation
Metadatos
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MDPI
Materia
floristic inventory Principal component analysis Species distribution
Fecha
2025-01-07Referencia bibliográfica
Cushquicullma-Colcha, D.F.; Ati-Cutiupala, G.M.; Guilcapi -Pacheco, E.D.; Villacis -Uvidia, J.F.; Brito-Mancero, M.Y.; Vaca-Cárdenas, P.V.; Vasco-Lucio, M.M.; Muñoz- Jácome, E.A.; Vaca-Cárdenas, M.L. Influence of Altitude and Climatic Factors on the Floristic Composition of the Moorlands of the Guamote Canton, Ecuador: Key Revelations for Conservation. Sustainability 2025, 17, 383. https://doi.org/10.3390/su17020383
Patrocinador
Escuela Superior Politécnica de Chimborazo, Office of Research (DDI-ESPOCH)Resumen
The Andean paramos are unique and biodiverse environments. Located between
the upper limit of forest and perpetual snow, they provide ecosystem services, especially
freshwater supply; however, anthropogenic activities and climate change have altered their
distribution and composition. This paper analyses the influence of altitude and climatic
factors on the floristic composition of the páramos. A quasi-experimental study was
used in three altitudinal gradients, collecting geolocalised data on species and bioclimatic
variables. Principal component analysis, using the HJ-Biplot visualisation technique and
k-means clustering algorithms, was applied to explore the relationships between factors.
It was determined that the lower zone is nuanced by the presence of Solanaceae, which
are important for human food. In the middle zone, there is a high diversity, with the
Ericaceae and Caprifoliaceae families standing out, while in the upper zone, the Ericaceae
and Gentianaceae families are accentuated. The PCA reveals that strata 2 and 3 share family
taxa, while stratum 1 shows differences. Altitude and precipitation directly influence the
distribution of species in each stratum; the Asteraceae family is dominant in the canton for
its contribution to the principal components.