29
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Comparison of the Abiotic Preferences of Macroinvertebrates in Tropical River Basins

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          We assessed and compared abiotic preferences of aquatic macroinvertebrates in three river basins located in Ecuador, Ethiopia and Vietnam. Upon using logistic regression models we analyzed the relationship between the probability of occurrence of five macroinvertebrate families, ranging from pollution tolerant to pollution sensitive, (Chironomidae, Baetidae, Hydroptilidae, Libellulidae and Leptophlebiidae) and physical-chemical water quality conditions. Within the investigated physical-chemical ranges, nine out of twenty-five interaction effects were significant. Our analyses suggested river basin dependent associations between the macroinvertebrate families and the corresponding physical-chemical conditions. It was found that pollution tolerant families showed no clear abiotic preference and occurred at most sampling locations, i.e. Chironomidae were present in 91%, 84% and 93% of the samples taken in Ecuador, Ethiopia and Vietnam. Pollution sensitive families were strongly associated with dissolved oxygen and stream velocity, e.g. Leptophlebiidae were only present in 48%, 2% and 18% of the samples in Ecuador, Ethiopia and Vietnam. Despite some limitations in the study design, we concluded that associations between macroinvertebrates and abiotic conditions can be river basin-specific and hence are not automatically transferable across river basins in the tropics.

          Related collections

          Most cited references2

          • Record: found
          • Abstract: found
          • Article: not found

          Goodness-of-fit for GEE: an example with mental health service utilization.

          Suppose we use generalized estimating equations to estimate a marginal regression model for repeated binary observations. There are no established summary statistics available for assessing the adequacy of the fitted model. In this paper we propose a goodness-of-fit test statistic which has an approximate chi-squared distribution when we have specified the model correctly. The proposed statistic can be viewed as an extension of the Hosmer and Lemeshow goodness-of-fit statistic for ordinary logistic regression to marginal regression models for repeated binary responses. We illustrate the methods using data from a study of mental health service utilization by children. The repeated responses are a set of binary measures of service use. We fit a marginal logistic regression model to the data using generalized estimating equations, and we apply the proposed goodness-of-fit statistic to assess the adequacy of the fitted model.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Abundance versus presence/absence data for modelling fish habitat preference with a genetic Takagi-Sugeno fuzzy system.

            This study compared the accuracy of fuzzy habitat preference models (FHPMs) and habitat preference curves (HPCs) obtained from the FHPMs in order to assess the effect of two types of data [log-transformed fish population density (LOG) and presence-absence (P/A) data] on the habitat preference evaluation of Japanese medaka (Oryzias latipes). Three independent data sets were prepared for each type of data. The results differed according to the data sets and the types of data used. The HPCs showed a similar trend, whilst the degrees of preference were different. The model accuracy also differed according to the data sets used. Although almost no statistical difference was observed, on average, the P/A-based models showed a better performance according to the threshold-independent performance measures, whilst the LOG-based models showed better performance in predicting absence of the fish. These results can be explained partly from the different shapes of HPCs. This case study of Japanese medaka demonstrated the effect of different types of data on habitat preference evaluation. Further studies should build on the present finding and evaluate the effects of data characteristics such as the size of data sets and the prevalence for better understanding and reliable assessment of the habitat for target species.
              Bookmark

              Author and article information

              Contributors
              Role: Editor
              Journal
              PLoS One
              PLoS ONE
              plos
              plosone
              PLoS ONE
              Public Library of Science (San Francisco, USA )
              1932-6203
              2014
              3 October 2014
              : 9
              : 10
              : e108898
              Affiliations
              [1 ]Aquatic Ecology Research Unit, Department Applied Ecology and Environmental Biology, Ghent University, Ghent, Belgium
              [2 ]Environmental Toxicology Research Group, Department Applied Ecology and Environmental Biology, Ghent University, Ghent, Belgium
              [3 ]Department of Mathematical Modelling, Statistics and Bioinformatics, Ghent University, Ghent, Belgium
              [4 ]Department of Chemical and Environmental Sciences, Escuela Superior Politécnica del Litoral (ESPOL), Guayaquil, Ecuador
              [5 ]Department of Environmental Health Science and Technology, Jimma University, Jimma, Ethiopia
              [6 ]School of Environmental Science and Technology, Hanoi University of Science and Technology, Hanoi, Vietnam
              [7 ]National Institute for Applied Statistics Research Australia (NIASRA), School of Mathematics and Applied Statistics, University of Wollongong, Wollongong, Australia
              University of Shiga Prefecture, Japan
              Author notes

              Competing Interests: The authors have declared that no competing interests exist.

              Conceived and designed the experiments: PG LDG AA THH. Performed the experiments: PB LDG STM AA THH. Analyzed the data: GE JDN OT. Contributed reagents/materials/analysis tools: PG LDG AA THH. Wrote the paper: GE JDN PB LDG STM AA THH PG OT.

              Article
              PONE-D-14-11937
              10.1371/journal.pone.0108898
              4184827
              25279673
              eeaf3f83-4dc6-4173-acc5-f8249df6b80f
              Copyright @ 2014

              This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

              History
              : 19 March 2014
              : 3 August 2014
              Page count
              Pages: 16
              Funding
              Pieter Boets is a postdoctoral research fellow from the Research Foundation Flanders (FWO - http://www.fwo.be/en/). Luis Dominguez-Granda received financial support of the VLIR ESPOL IUC program in Ecuador and SENACYT ( http://www.vliruos.be/en/project-funding/programdetail/institutional-university-cooperation_3948/and http://www.educacionsuperior.gob.ec/). Argaw Ambelu was a recipient of an ICP-PhD scholarship from VLIR-UOS( http://www.vliruos.be/en/countries/countrydetail/ethiopia_3854/). Seid Tiku Mereta was a recipient of a IUC-PhD scholarship from VLIR-UOS ( http://www.iucju.ugent.be/). Thu Huong Hoang received financial aid from the Belgian Technical Cooperation (BTC - http://www.btcctb.org/en/countries/vietnam). Marie Anne Eurie Forio and Minar Naomi Damanik Ambarita cooperated with financial support of the VLIR Ecuador Biodiversity Network ( http://www.vliruos.be/en/ongoing-projects/overview-of-ongoing-projects/network-cooperation/network-biodev-ecuador/). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
              Categories
              Research Article
              Biology and Life Sciences
              Ecology
              Freshwater Ecology
              Limnetic Ecosystems
              Earth Sciences
              Marine and Aquatic Sciences
              Limnology
              Ecology and Environmental Sciences
              Bioindicators
              Habitats
              Custom metadata
              The authors confirm that all data underlying the findings are fully available without restriction. Data have been deposited at Dryad and are available with the DOI: doi:10.5061/dryad.20860.

              Uncategorized
              Uncategorized

              Comments

              Comment on this article