Delineation of Environmental Units by Multivariate Techniques in the Duero River Watershed, Michoacán, Mexico

• Published in: Environmental modeling & assessment 2017-06, Vol.22 (3), p.257-266
• Main Authors: Cruz-Cárdenas, Gustavo, Silva, José Teodoro, Ochoa-Estrada, Salvador, Estrada-Godoy, Francisco, Nava-Velázquez, Jaime
• Format: Article
• Language: English
• Subjects: Abiotic factors; Applications of Mathematics; Climatic data; Cluster analysis; Clustering; Digital Elevation Models; Earth and Environmental Science; Ecosystem components; Ecosystem services; Empirical analysis; Environment; Evaporation; Hydrology; Landscape; Math. Appl. in Environmental Science; Mathematical Modeling and Industrial Mathematics; Mathematical models; Methods; Multivariate analysis; Natural resource management; Natural resources; Operations Research/Decision Theory; Ordination; Principal components analysis; Resource management; River ecology; Rivers; Soil chemistry; Soil pH; Soil water; Soils; Urban areas; Water analysis; Water sampling; Watersheds; Weather; Weather stations
• ISSN: 1420-2026; 1573-2967
• DOI: 10.1007/s10666-016-9534-2

Environmental or hydrological landscape units can integrate various environmental characteristics to support proper management of natural resources. To delineate these units, quantitative methods such as ordination, clustering, and classification of abiotic factor information are used. In the present work, environmental units were delineated in the Duero River watershed of Michoacán, Mexico. This will enhance understanding of the hydrologic landscape, which is a fundamental to natural resource management. A digital elevation model was used to generate sub-basins. Climatic data were obtained from 16 meteorological stations. Sixty-nine soil and 150 water samples were collected and analyzed in the laboratory. Geostatistical methods for spatial prediction of the environmental variables were used. Mean data for each sub-basin were obtained from the environmental variable grids, generating an abiotic factor data matrix. A multivariate analysis was conducted. Exponential, linear, spherical, and Gaussian models were fit to an empirical variogram. Spatial prediction of the environmental data was done via universal and ordinary kriging. Based on principal component analysis, abiotic factors evaporation, total nitrogen, soil pH, and sodium absorption ratio of water were selected for cluster analysis. Five environmental units were delineated in the Duero watershed. One environmental unit (number 4) provided greater than 50 % of the payment for ecosystem services. The general trend is an increase of urban area. The urban surface in 1983 and 2014 was 1724 and 4750 ha, respectively, an increase of 275 %. Environmental unit 1 showed the greatest urban area growth (1336 ha) during the latter period.