The catalogue contains study descriptions in various languages. The system searches with your search terms from study descriptions available in the language you have selected. The catalogue does not have ‘All languages’ option as due to linguistic differences this would give incomplete results. See the User Guide for more detailed information.
Water Quality Bioindicator Data and Field Guide in Burkina Faso, 2017-2019
Creator
Ouédraogo, I, Université Ouaga I
Study number / PID
854008 (UKDA)
10.5255/UKDA-SN-854008 (DOI)
Data access
Open
Series
Not available
Abstract
Research indicates certain fish, macroinvertebrates and zooplankton can be used as simple bioindicators to monitor reservoir water quality. As part of the POP-BF project, we analysed the variation in abundance and richness of fish, macroinvertebrate and zooplankton communities with changes in water quality. Seventeen species of zooplankton were found in Bidiga reservoir and the highest species richness was observed in the months of September (13), November (14) and December (12). In Ladwenda reservoir, 19 species of zooplankton were encountered and the highest specific richness was observed in the months of May (13), September (13), November (11) and December (11). Sensitive taxa of macroinvertebrate encountered at Bidida reservoirs were: Polymitarcydea, Hydropsychydae, Caenidae and Baetidae. Their presence was noted from the month of October when the rains quantity was decreasing, and the aquatic environment was stabilizing (low conductivity: 0,04 mS/cm). Tolerant species such as Hirudinae and Chironomidae were more abundant in the month of May coinciding with the end of the dry season and the beginning of the rainy season (high conductivity: 0,27mS/cm, around 7 times the value in rainy season). At this time, the water levels were very low, and the living conditions become difficult for many species. In total, 11 species of fish were encountered in the Bidiga reservoir and nine in Ladwenda reservoir.
We provide here the water quality data and counts of individual fish and macroinvertebrate species identified at each sampling point, and a field guide compiled for local communities explaining which fish and macroinvertebrate species are likely to indicate high or low water quality, and how to find and identify these species.Effective community-based management of common pool resources (CPR) in contexts facing environmental degradation and social conflict is urgently required to sustainably move people worldwide towards a decent level of human well-being, as sought...
Terminology used is generally based on DDI controlled vocabularies: Time Method, Analysis Unit, Sampling Procedure and Mode of Collection, available at CESSDA Vocabulary Service.
Methodology
Data collection period
01/10/2017 - 31/05/2019
Country
Burkina Faso
Time dimension
Not available
Analysis unit
Other
Universe
Not available
Sampling procedure
Not available
Kind of data
Numeric
Text
Still image
Data collection mode
we used handheld probes to monitor a set of water quality parameters (pH, temperature, electric conductivity and total suspended solids) and sampled fish, macroinvertebrate and zooplankton at monthly intervals from June 2018 to march 2019 at two reservoirs in Burkina Faso: Lagwenda and Bidiga. At each sampling date, fish, macroinvertebrates and zooplankton were sampled at three locations per reservoir (near the dam wall, and at the reservoir east and west midpoints). Macroinvertebrates were sampled using a rectangular mesh (type AQEM / STAR of 500 microns mesh and 625-cm² surface, 25 x 25 cm) following the "multi-habitat sampling” method inspired by Babour (1999) and the "MHS-Sampling Manual" (Moog, 2007). Zooplankton sampling was done by filtering 400 liters of water with a 75 μm mesh plankton net and a bucket stored in 250 ml plastic bottle and conserved with alcohol (90%). Fish were sampled using cast nets. Fish size and weight were measured on the field using respectively an itchyometer and a scale. All biological samples were transported to the Laboratory of Animal Biology and Ecology for identification. Water quality parameters were collected four times to get an average.
Funding information
Grant number
ES/R002126/1
Access
Publisher
UK Data Service
Publication year
2021
Terms of data access
The Data Collection is available to any user without the requirement for registration for download/access.