Composition and abundance of benthic macroinvertebrates in satellite lakes of Lake Victoria, Uganda

Latest version published by National Fisheries Resources Research Institute on 12 September 2022 National Fisheries Resources Research Institute
Publication date:
12 September 2022
CC-BY-NC 4.0

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This dataset provides occurrence and composition of benthic macro-invertebrates from numerous biodiversity surveys conducted in the satellite lakes of Lake Victoria, Uganda. The lakes are Kachera, Mburo, Nabugabo, Kayugi and Kayanja and Kijanebalora.

Data Records

The data in this occurrence resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 330 records.

This IPT archives the data and thus serves as the data repository. The data and resource metadata are available for download in the downloads section. The versions table lists other versions of the resource that have been made publicly available and allows tracking changes made to the resource over time.


The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

Pabire G W (2022): Composition and abundance of benthic macroinvertebrates in satellite lakes of Lake Victoria, Uganda. v1.0. National Fisheries Resources Research Institute. Dataset/Occurrence. https://ipt-uganda.gbif.fr/resource?r=victoriabasinminorlakes&v=1.0


Researchers should respect the following rights statement:

The publisher and rights holder of this work is National Fisheries Resources Research Institute. This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC) 4.0 License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 7e94521c-d549-4a57-8b2b-b9ccdcf101ed.  National Fisheries Resources Research Institute publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Uganda.


Occurrence; Lake Victoria; Uganda; Freshwater; Lake Nabugabo; Lake Kachera; Lake Mburo; Lake Kayugi; Lake Kayanja; Lake Kijanebalora; Observation


Laban Musinguzi
  • User
  • Point Of Contact
Research Officer
National Fisheries Resources Research Institute (NaFIRRI)
Nile Crescent, Plot 39/45, Jinja
343 Jinja
Gandhi Willy Pabire
  • Metadata Provider
  • Originator
Research Technician
National Fisheries Resources Research Institute (NaFIRRI)
Nile Crescent, Plot 39/45, Jinja
343 Jinja

Geographic Coverage

The dataset covers satellite lakes of Lake Victoria, Uganda. The lakes are Kachera, Mburo, Nabugabo, Kayugi and Kayanja and Kijanebalora

Bounding Coordinates South West [-1.048, 30.764], North East [-0.121, 32.017]

Taxonomic Coverage

Aquatic macroinvertebrates identified to phylum, class, subclass, order, family, subfamily, genus and species

Phylum Nematoda
Class Clitellata, Ostracoda
Subclass Hirudinea
Order Coleoptera, Ephemeroptera, Laevicaudata Linder, 1945, Trichoptera, Trombidiformes
Family Baetidae, Ceratopogonidae, Chironomidae, Corixidae, Gomphidae, Libellulidae
Subfamily Chironominae
Genus Ablabesmyia Johannsen, 1905, Bulinus (Müller O.F., 1781), Caenis Stephens, 1835, Chaoborus A.A.H.Lichtenstein, 1800, Chironomini, Chironomus Meigen, 1803, Clinotanypus Kieffer, 1913, Corbicula, Hesperophylax (Banks, 1916), Melanoides (Olivier, 1804), Neurocordulia (Selys, 1871), Palpomyia Meigen, 1818, Procladius Skuse, 1889, Tanypodinae, Tanypus Meigen, 1803
Species Povilla adusta Navás, 1912

Temporal Coverage

Formation Period 1999-2003

Project Data

This dataset was part of a project to advance access to quality freshwater data and information in Uganda by harnessing capacity in data mobilization, data available through GBIF and engagements with data user institutions. The goal was to advance utility of the data in conservation decision making, advocacy, education and reporting on biodiversity. Limited capacity of users to develop biodiversity information from primary biodiversity data, coupled with some deficiencies in data available through GBIF, is a main barrier to data use. This project worked to improve the quality of the data the National Fisheries Resources Research Institute (NaFIRRI) published through GBIF and used all the data available to develop freshwater biodiversity information to guide conservation planning. The quality of the occurrences were improved by linking them with abundance data and coordinates. Then, using all data available in GBIF, the project developed information products tailored to conservation planning. The information was envisaged to have a direct entry point into policies and practices of Uganda’s agricultural sector. The sector had been identified by the National Environmental Management Authority (NEMA) through a national biodiversity information Political and Economic Analysis (PEA), as the biggest sector threatening biodiversity. The information products developed were tailored to the information needs of the sector as defined in the PEA.

Title Advancing freshwater biodiversity data and information access, utility and relevance for conservation decision making in Uganda
Identifier BID-AF2020-145-USE
Funding The project was funded by European Union through the Biodiversity Information for Development (BID) programme of the Global Biodiversity Information Facility (GBIF). Co-funding was available from the JRS Biodiversity Foundation, Royal Belgian Institute of Natural Sciences, and Government of Uganda
Study Area Description The project was a national project, mobilizing data from all water bodies in Uganda
Design Description NaFIRRI implemented biodiversity informatics projects in the past but freshwater biodiversity data remained in less useful formats especially for aquatic invertebrates and algae. Data mobilization in this project involved identifying and digitizing all available data from existing soft and hard copy records. Taxa occurrences and associated abundance data where applicable, were mobilized and published. The goal was to fill the data gaps. Our data mobilization design was such that, data was mobilized by each of the broad freshwater taxa (zooplankton, macroinvertebrates, fish and algae). Data for each of the broad taxa where possible, was grouped by each of the major lake systems in Uganda.

The personnel involved in the project:

Laban Musinguzi
  • Principal Investigator

Sampling Methods

A ponar grab with an open jaw area of 238 cm2 was used to take samples of benthic macroinvertebrates. One to three hauls were taken from each sampling point. When more than one haul was taken, they were mixed to form a composite sample. The bottom type at each point was described from the grabbed contents. This was captured as location remarks. Samples were concentrated and then placed in labeled sample bottles and preserved with 5% formalin solution. In the laboratory, each sample was rinsed with water and then placed on a white flat-bottomed tray. Macro-invertebrates were sorted, and individual taxa identified to the lowest possible taxonomic level using identification keys (Mandahl-Barth, 1954), Pennak, 1953), Merritt and Cummins, 1997, De Moor et al. 2003). All taxa were recorded, and individuals of each taxon enumerated to estimate their densities.

Study Extent The datasets present data for surveys conducted between 1999 and 2003.
Quality Control The samples were immediately processed in the field and treated with formalin to keep the organisms of interest intact. To avoid loss of organisms during sample processing, nets with appropriate mesh sizes were used.

Method step description:

  1. Collection of the macroinvertebrates In the field, sediment samples were collected using a ponar grab with an open jaw surface area of 238 cm2. At each site, three sediment samples were obtained. The three samples were mixed and concentrated to form one composite sample for each site. Preserving the samples The composite sample for each site was separately preserved in 5% formalin to maintain the organisms in good condition prior to analysis in the laboratory. Identification of macroinvertebrates In the laboratory, formalin was rinsed off from each sample and placed in white flat-bottomed trays. Using pairs of forceps, all benthic macro invertebrates were sorted from the sediment and the individual taxa identified to the lowest possible taxonomic level using appropriate identification keys and a dissecting binocular microscope at 4x 25 magnification.

Bibliographic Citations

  1. De Moor IJ, Day JA and de Moor FC (Eds) (2003b) Guide to Freshwater Invertebrates of South Africa. Vol. 8: Insect II. Hemiptera, Megaloptera, Neuroptera, Trichoptera & Lepidoptera, 208Pg.
  2. Mendahl-Barth, G. (1954). The Freshwater Mollusks of Uganda and Adjacent Territories. Annls Mus. r. Congo Belge, 8°, Zoology, 32: 1–206.
  3. Merritt, R. W., & Cummins, K. W. (1997). An introduction to the aquatic insects of North America (3rd ed.). Dubuque: Kendall/Hunt Publishing Co. 720 Pg.
  4. Pennak, R.W. 1953. Fresh-water Invertebrates of the United States. John Wiley & Sons, New York. 769pg.
  5. Pennak, R. W, (1953). Fresh-water invertebrates of the United States. 2nd Edition, John Wiley & Sons, New York, 803 Pages.

Additional Metadata