Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.ecolind.2013.10.030
Title: A pilot macroinvertebrate index of the water quality of Singapore's reservoirs
Authors: Clews, E. 
Low, E.-W.
Belle, C.C. 
Todd, P.A. 
Eikaas, H.S.
Ng, P.K.L. 
Keywords: Biotic indices
Freshwater
Index
Lentic
Macroinvertebrate
Singapore
Tropical
Issue Date: Mar-2014
Citation: Clews, E., Low, E.-W., Belle, C.C., Todd, P.A., Eikaas, H.S., Ng, P.K.L. (2014-03). A pilot macroinvertebrate index of the water quality of Singapore's reservoirs. Ecological Indicators 38 : 90-103. ScholarBank@NUS Repository. https://doi.org/10.1016/j.ecolind.2013.10.030
Abstract: Biomonitoring using benthic invertebrate community indices is well established in the assessment of the ecological status of temperate streams but less often applied to lakes, particularly in the tropics. The aim of this study was to identify a suitable bioindicator of the water quality of Singapore's reservoirs for further development and application in ecological monitoring. First, potential physicochemical stressors were identified from pre-existing monitoring data. Next, we developed, adapted and applied potential biotic indicators using both data-driven and knowledge-driven approaches. The former involved derivation of weights representing faunal response to stress from local data to create a new benthic quality index (a data-driven approach). Pre-existing metrics were adapted to reflect local taxonomic composition and resolution. The suitability of each of these indices as well as metrics describing the diversity, abundance and proportions of taxa as biotic indicators of water quality was then assessed. Of the metrics evaluated, the BQI SING index based on data-derived tolerance/sensitivity of local taxa to stressors was best able to discriminate among water bodies representing different levels of stress, represented here by their trophic state. The relative success of this metric in reflecting potential ecological stressors was attributed to the derivation of data-driven weights applied in this index in contrast to indices applied 'off the shelf' which may not have reflected local faunal response to stress. © 2013 Elsevier Ltd. All rights reserved.
Source Title: Ecological Indicators
URI: http://scholarbank.nus.edu.sg/handle/10635/116201
ISSN: 1470160X
DOI: 10.1016/j.ecolind.2013.10.030
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