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The application of chemical and biological multi-metric models to a small urban stream for ecological health assessments
Affiliation:1. Università degli Studi della Tuscia, Viterbo, Dipartimento di Scienze Agrarie e Forestali (DAFNE), Via San Camillo de Lellis snc, 01100 Viterbo, Italy;2. Università degli Studi della Tuscia, Viterbo, Dipartimento di Scienze Ecologiche e Biologiche (DEB), Loc. Riello snc, 01100 Viterbo, Italy;1. Shandong Forestry Research Academy, Jinan 250014, China;2. Northeast Normal University of China, Changchun 130024, China;3. Haoshan Forest Farm, Yiyuan, Zobo 256100, China;1. Department of Earth Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EQ, United Kingdom;2. Centre de Recherches Pétrographiques et Géochimiques (CRPG), UPR 2300, CNRS-Université de Lorraine, 15 rue Notre Dame des Pauvres, 54501 Vandoeuvre les Nancy, Cedex, France
Abstract:Nutrient or/and organic pollutions have been used as one of the key factors influencing the stream health, so research approaches were frequently focused on chemical analysis rather and biological analysis. Our objective of the present study was to diagnose the chemical and biological stream health using chemical multi-metric model of nutrient pollution index (NPI) and biological multi-metric fish model of the index of biotic integrity (IBI), respectively in an urban stream. Seven years dataset from 2008 to 2014 were used for the health assessments. The nutrients regime (TN, TP), sestonic chlorophyll, total suspended solids (TSS), electrical conductivity, BOD, and COD showed a typical polluted stream with large temporal and spatial fluctuations due to variations of Asian monsoon rain. The analysis of fish trophic guilds and fish tolerance guilds showed that omnivore fish species and tolerant species were dominated the community and the proportions were directly determined by water chemistry (nutrient and organic matters). Chemical model of NPI showed “poor-very poor health condition” by the criteria of the model and showed same results with the biological model of fish IBI. The degradation of the stream health was mainly due to massive effluents from the wastewater treatment plants. Overall, our data suggest that the multi-metric chemical and biological models may be used as a key tool diagnosing the stream health condition in an urban stream.
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