We characterized the biotic integrity of the sub‐tropical Duero River, Mexico, comparing current and past index of biotic integrity (IBI) scores with results of an environmental quality index (EQI), inventorying abiotic characteristics and human impacts, and documenting ecosystem changes over the last three decades. We sampled the fish community and measured environmental variables during the dry season of 2009 at 19 sites. We compared 2009 findings with fish data obtained in 1986 and 1991 at nine of the sites. The correlation between the IBI and EQI was high (r2 = 0.79, p = 0.0002), indicating that the IBI accurately characterized environmental condition. Thirteen sites were degraded (68%) based on IBI scores, three were fair (16%) and three had good conditions (16%). Based on the EQI, 12 sites were classified as poor (63%), two as fair (11%) and five as good (19%). A cluster analysis of nine abiotic variables and the IBI values yielded three groups: six sites with good integrity and environmental quality, eight with high chemical oxygen demand and four with high total dissolved solids. A discriminant analysis (square canonical correlation: 0.922, and Wilks' lambda significance: 0.001) identified biochemical oxygen demand, distance to vegetation and total dissolved solids as the main predictors. Compared to 1986 and 1991, 2009 IBI values and ratings had declined significantly (multiple response permutation procedure A = 0.16, p = 0.0005), indicating a trend of environmental deterioration, with scores and ratings at 7 of 9 sites lower in 2009. One site had declined from good to fair, one from good to poor, five from fair to poor, one had remained fair and one had remained good. Degradation was related to excessive human water use, reduced river flows, increased wastewater discharge, deforestation, erosion, and invasive species, and mismanagement of preserved sites (springs), all of which highlight an urgent need to reverse declining environmental conditions. Copyright © 2014 John Wiley & Sons, Ltd.

Herein we provide a framework for evaluating the spatiotemporal variation of nitrate and ammonium and their relationships with environmental and anthropogenic variables at different scales. Bimonthly samples were collected from 28 sites in the Duero River, Mexico, from May to December 2013. The river flow changed and lost connectivity during the dry season because more water was diverted for irrigation. Four sites had the highest nitrate and ammonium values (7.6 and 22.1mgL–1 respectively), which were related to direct waste water discharge. The remaining 24 sites were analysed using a multivariate approach. Using hierarchical cluster analysis, seasonal trends were identified with two groupings during July and five in December. Sites were grouped into those with constant discharge and nitrates affected by springs and those with poor water quality (high concentrations of ammonium). Non-metric multidimensional scaling simultaneously revealed the variation in time and space, organised sites into an environmental ammonium gradient and differentiated between seasons according to nitrate levels. Regression tree analysis established a relationship between nutrients and independent variables. At the landscape level, the agricultural area affected nitrate (75%) and urban area affected ammonium (45%); at the basin level, road density influenced both parameters (10.68km per 25km2).

Landscape units are conceived as a part of the territory that share similar physical and geographic characteristics. Their delineation can contribute to identify the physical and social dynamics that emerge in the spatial environment and to propose strategies of planning and management of the territory. The main objective was to make a historical delineation of landscape units in the Duero river basin that demonstrate the dynamics of changes in the territory, the description of the actors involved, and the affectations in the natural and social environment. We analyzed the vegetation change and urban growth from 1983 to 2014, incorporating climatic, edaphic, and topographic variables. A Principal Component Analysis was performed with the information and results were used in Maximum Likelihood procedure to define different clusters based on environmental characteristics. We defined five categories from the Landsat images. Results showed landscape units with homogeneous environmental characteristics and some differences in the units' delineation were mainly influenced by political and socioeconomic factors. Temporally there was an increased tendency of landscape units, three in 1983, nine in 1990, 1995, 2000 and 2011, and eight in 2014. This increase resulted from territory fragmentation because of berries and avocado cultivars expansion over wooded area.