Literature DB >> 16404536

Combining logistic models with multivariate methods for the rapid biological assessment of rivers using macroinvertebrates.

S V Oliveira1, R M V Cortes.   

Abstract

This work represents an attempt to define a simple method to classify the relative degree of disturbance of sites in lotic systems on the basis of comparison of their faunistic composition with reference sites. Two ecotypes were selected in northern Portugal where benthic invertebrates were sampled in reaches with different levels of contamination. As a first stage, previous Geographic Information System information was used to define reference sites in each ecotype. Afterwards, multivariate techniques and non linear estimation models were combined to assess biological quality. This method allowed us to quantify sites according to increasing levels of contamination, after the probabilities of occurrence of taxa along a gradient of contamination taking into account the reference condition. The results suggest that this method is sensitive to organic pollution, easy to interpret, namely the species tolerance, and could be a good framework to establish regional rankings depending on the ecological impact of river sites.

Mesh:

Year:  2006        PMID: 16404536     DOI: 10.1007/s10661-006-0766-5

Source DB:  PubMed          Journal:  Environ Monit Assess        ISSN: 0167-6369            Impact factor:   2.513


  2 in total

1.  Preliminary comparison of landscape pattern-normalized difference vegetation index (NDVI) relationships to Central Plains stream conditions.

Authors:  Jerry A Griffith; Edward A Martinko; Jerry L Whistler; Kevin P Price
Journal:  J Environ Qual       Date:  2002 May-Jun       Impact factor: 2.751

Review 2.  Gradient analysis of vegetation.

Authors:  R H Whittaker
Journal:  Biol Rev Camb Philos Soc       Date:  1967-05
  2 in total
  2 in total

1.  Evaluating macroinvertebrate biological metrics for ecological assessment of streams in northern Portugal.

Authors:  Simone G Varandas; Rui Manuel Vitor Cortes
Journal:  Environ Monit Assess       Date:  2009-06-02       Impact factor: 2.513

2.  Dynamic prediction of uneven-aged natural forest for yield of Pinus taiwanensis using joint modelling.

Authors:  Weiping Hua; Hongmeng Ye; Jui-Yeh Rau; Tian Qiu
Journal:  Environ Monit Assess       Date:  2020-03-17       Impact factor: 2.513

  2 in total

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