Zooplankton occurrences and abundance in the Lake Kyoga system, Uganda

Dernière version Publié par National Fisheries Resources Research Institute le 2 février 2022 National Fisheries Resources Research Institute
Date de publication:
2 février 2022
CC-BY 4.0

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The dataset presents occurrences and abundance of zooplankton taxa obtained from different surveys conducted over a 12-year period from 1998-2000, 2002-2004, 2006, 2009-2010, 2014-15 and 2017. The surveys were conducted in different waterbodies and habitat types within the Lake Kyoga system, covering 12 water bodies (10 lakes and 2 rivers).

Enregistrements de données

Les données de cette ressource occurrence ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 3 488 enregistrements.

Cet IPT archive les données et sert donc de dépôt de données. Les données et métadonnées de la ressource sont disponibles pour téléchargement dans la section téléchargements. Le tableau des versions liste les autres versions de chaque ressource rendues disponibles de façon publique et permet de tracer les modifications apportées à la ressource au fil du temps.


Le tableau ci-dessous n'affiche que les versions publiées de la ressource accessibles publiquement.

Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Kiggundu V, Egessa R, Mwebaza-Ndawula L (2022): Zooplankton occurrences and abundance in the Lake Kyoga system, Uganda. v1.1. National Fisheries Resources Research Institute. Dataset/Occurrence. http://ipt-uganda.gbif.fr/resource?r=lakekyogasystemzoo&v=1.1


Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est National Fisheries Resources Research Institute. Ce travail est sous licence Creative Commons Attribution (CC-BY) 4.0.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : 8279fc87-579e-4d97-8522-4514bedeb180.  National Fisheries Resources Research Institute publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du GBIF Uganda.


Occurrence; Zooplankton; Uganda; Lake Kyoga; Freshwater


Vincent Kiggundu
  • Fournisseur Des Métadonnées
Senior research technician
National Fisheries Resources Research Institute (NaFIRRI)
Nile Crescent, Plot 39/45, Jinja
343 Jinja
Laban Musinguzi
  • Utilisateur
  • Personne De Contact
Research Officer
National Fisheries Resources Research Institute (NaFIRRI)
Nile Crescent, Plot 39/45, Jinja
343 Jinja
Vincent Kiggundu
  • Fournisseur Des Métadonnées
Senior Research technician
National Fisheries Resources Research Institute (NaFIRRI)
Nile Crescent, Plot 39/45, Jinja
343 Jinja
Lucas Mwebaza-Ndawula
  • Créateur
Senior research officer
National Fisheries Resources Research Institute (NaFIRRI)
Nile Crescent, Plot 39/45, Jinja
343 Jinja
Robert Egessa
  • Créateur
Research Officer
National Fisheries Resources Research Institute (NaFIRRI)
Nile Crescent, Plot 39/45, Jinja
343 Jinja

Couverture géographique

The dataset covers waterbodies and habitats types within the Lake Kyoga system, covering 12 water bodies (10 lakes and 2 rivers).

Enveloppe géographique Sud Ouest [0,516, 32,113], Nord Est [2,065, 34,272]

Couverture taxonomique

Freshwater zooplankton identified to order, family, genus and species

Family Calanoidae, Cyclopoidae
Genus Afrocyclops, Ascomorpha, Asplanchna, Cephlodella, Chydorus, Euclanis, Eucyclops, Harpacticoida, Hexanauplia, Hexathra, Lecane, Lepadella, Macrothrix, Mesocyclops, Polyarthra, Synchaeta, Thermocyclops, Trichocerca
Species Beauchampiella eudactylota, Bosmina longirostris, Brachionus angularis, Brachionus bidentatus, Brachionus budapestinensis, Brachionus calyciflorus, Brachionus caudatus, Brachionus falcatus, Brachionus forficula, Brachionus patulus, Brachionus plicatilis, Brachionus quadridentatus, Brachionus urceolaris, Brachionus variabilis, Ceriodaphnia cornuta, Daphnia barbata, Daphnia lumholtzi, Diaphanosoma excisum, Filinia longiseta, Filinia opoliensis, Keratella cochlearis, Keratella tropica, Lecane bulla, Lecane luna, Macrochaetus sericus, Moina micrura, Platyias quadricornis, Polyarthra vulgaris, Synchaeta pectinata, Testudinella obscura, Testudinella patina, Thermocyclops emini, Thermocyclops incisus, Thermocyclops neglectus, Thermocyclops oblongatus, Thermodiaptomus galeboides, Trichocerca cylindrica, Tropocyclops confinis, Tropocyclops tenellus

Couverture temporelle

Epoque de formation 1998-2017

Données sur le projet

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.

Titre Advancing freshwater biodiversity data and information access, utility and relevance for conservation decision making in Uganda
Identifiant BID-AF2020-145-USE
Financement 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
Description du domaine d'étude / de recherche The project was a national project, mobilizing data from all water bodies in Uganda
Description du design 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 through GBIF. 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. For example, data in this resource is for zooplankton for Lake Kyoga system.

Les personnes impliquées dans le projet:

Laban Musinguzi
  • Chercheur Principal

Méthodes d'échantillonnage

Zooplankton samples were collected with a conical plankton net (Nansen type; mesh size 60 µm and mouth diameter of 0.25 m), towed vertically through the water column, as described by Fernando (2002) and Mwebaza-Ndawula (1994). Three hauls were taken and combined to make composite samples which preserved in 5% formalin and transferred to laboratory for taxonomic analysis and enumeration. In the laboratory, each sample was washed with tap water over a 53 µm sieve to remove the preservative and then diluted to a suitable volume, depending on the concentration of organisms in each sample. Sub-samples of 2, 2, 5 and 10 mL were taken with a wide bore automatic pipette from a well agitated sample. The sub-sample series were performed to consider more abundant organisms in 2, 2 mL series, and the rarer organisms in 2, 2, 5, 10 mL series. Each sub-sample was put into a counting chamber and examined under an inverted microscope (Hund, Wetzlar, Germany) at X100 magnification for taxonomic determination, and X40 for counting and organism body measurements.

Etendue de l'étude This data published in this dataset was collected from research and monitoring studies conducted in water bodies within the Lake Kyoga system. The water bodies covered are lakes Agu, Bisina, Gigatte, Kawi, Kimira, Kwania, Kyoga, Lemwa, Nawampasa and Nyaguo, and rivers Nile (Upper Victoria Nile) and Nabigagga. The studies were conducted in the period between 1998 and 2017. Data is available for specific waterbodies for 1998-2000, 2002-2004, 2006, 2009-2010, 2014-15 and 2017.
Contrôle qualité Taxa were identified lowest possible taxonomic level using published taxonomic keys (Sars 1895; Pennak 1953; Brooks 1957; Rutner-Kolisko 1974; Koste 1978; Boxshall & Braide 1991; Korinek 1999). Taxonomic names were cross-checked using the World Register of Marine Species (WoRMS).Densities of organisms were calculated from counts data, with reference to the sample net mouth diameter and water column depth at each sampling site as per Fernando (2002).

Description des étapes de la méthode:

  1. Collection of the zooplankton A conical plankton net (Nansen type; mesh size 60 µm; mouth diameter 0.25 m) was used to collect samples. It was towed vertically through the water column to have an integrated sample. Three hauls were taken per site and were combined to make a composite sample.
  2. Preserving the samples Samples were preserved in a sugar-formalin mixture. The sugar was to stop the ballooning of cladocerans for easy identification.
  3. Identification of zooplankton taxa In the laboratory, samples were washed using a sieve of 53 µm to remove the fixatives. Organisms were identified to the smallest taxonomic level possible using taxonomic keys (Sars, 1895, Pennak, 1953, Brooks, 1957, Rutner-Kolisko, 1974, Koste, 1978, Boxshall and Braide, 1991, Korinek, 1999). Density of organisms were calculated from the counts data, with reference to the sample net mouth diameter and water column depth at each sampling site.

Citations bibliographiques

  1. Boxshall, G. A. & Braide, E. I. 1991. The freshwater cyclopoid copepods of Nigeria, with an illustrated key to all species. Bull. Br. Mus. Nat. Hist. (zool), 57, 185-212.
  2. Brooks, J. L. 1957. The systematics of North American Daphnia. Memoirs of the connecticut academy of Arts and Sciences, 13, 1-18.
  3. Fernando, C. H. 2002. A Guide to Tropical Freshwater Zooplankton. Identification, Ecology and Impact on Fisheries, Leiden, The Netherlands, Backhuys Publishers.
  4. Korinek, V. 1999. A guide to limnetic species of Cladocera of African inland waters (Crustacea, Branchiopoda). The International Association of Theoretical and Applied Limnology. SIL.
  5. Koste, W. 1978. Rotatoria. Die Radertiere Mitteleuropas. Ein Bestimmungwerk, begrundet vo Max Voig. Uberrordnung Monogononta. Gebruder Borntraeger, Berlin, Stuttgart.
  6. Mwebaza-Ndawula (1994). Changes in relative abundance of zooplankton in northern Lake Victoria, East Africa. Hydrobiologia, 272, 256-264
  7. Pennak, R. W. 1953. Fresh-water invertebrates of the United States, New York, John Wiley & Sons.
  8. Rutner-Kolisko, A. 1974. Planktonic rotifers: Biology and taxonomy, Biological Station Lunz of the Austrian Academy of Science. E. Schweizerbart’sche Verlagsbuchhandlung.
  9. Sars, G. O. 1895. An account of the Crustacea of Norway, Christiania and Copenhagen Alb. Cammermeyer Forlag

Métadonnées additionnelles

Identifiants alternatifs 8279fc87-579e-4d97-8522-4514bedeb180