Articles | Volume 379
Proc. IAHS, 379, 169–174, 2018
https://doi.org/10.5194/piahs-379-169-2018
Proc. IAHS, 379, 169–174, 2018
https://doi.org/10.5194/piahs-379-169-2018

Pre-conference publication 05 Jun 2018

Pre-conference publication | 05 Jun 2018

Detecting trend on ecological river status – how to deal with short incomplete bioindicator time series? Methodological and operational issues

Flavie Cernesson et al.

Cited articles

Bar-Hen, A., Daudin, J.-J., and Robin, S.: Comparaisons multiples pour les microarrays, Journal de la société française de statistique, 146, 45–62, 2005. 
Cohen, P., Andriamahefa, H., and Wasson, J. G.: Towards a regionalization of aquatic habitat: Distribution of mesohabitats at the scale of a large basin, Regul. River., 14, 391–404, 1998. 
Crunkilton, R. L. and Duchrow, R. M.: Use of stream order and biological indexes to assess water-quality in the osage and black river basins of Missouri, Hydrobiologia, 224, 155–166, 1991. 
Diamantini, E., Lutz, S. R., Mallucci, S., Majone, B., Merz, R., and Bellin, A.: Driver detection of water quality trends in three large European river basins, Sci. Total Environ., 612, 49–62, 2018. 
Hirsch, R. M., Alexander, R. B., and Smith, R. A.: Selection of Methods for the Detection and Estimation of Trends in Water-Quality, Water Resour. Res., 27, 803–813, 1991. 
Download
Short summary
For water managers, analysing time variations in short and incomplete bioindicator series is necessary but tricky. From our work on benthic invertebrate indicator series sampled in the Saône basin (France), we conclude that (1) combining statistical tests and graphical analyses is relevant for classifying time series, (2) environmental contexts explain similarities between series better than river size classes, (3) a single value can summarise a serie to link bioindicators to land-use stressors.