Occurrences data collection of Simulium damnosum (Theobald, 1903) for spatial distribution and ecological niche modeling

Sampling event
Latest version published by Laboratory of Forest Sciences (University of Abomey-Calavi) on May 23, 2023 Laboratory of Forest Sciences (University of Abomey-Calavi)

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Occurrences of Simulium damnosum were obtained on the basis of data collected from WHO-AFRO (https://www.who.int/apoc/onchocerciasis/ocp/fr/) website and in the literature (reports and others document of PNLMT, scientific articles, etc.). Moreover, maps showing watercourses with lava deposits in which simians were captured have been georeferenced.

Data Records

The data in this sampling event 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 3 records.

1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

Event (core)

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:

SEHOUETO K P C, AIKPON R Y, GANGLO J C (2023): Occurrences data collection of Simulium damnosum (Theobald, 1903) for spatial distribution and ecological niche modeling. v1.3. Laboratory of Forest Sciences (University of Abomey-Calavi). Dataset/Samplingevent. https://ipt.gbifbenin.org/resource?r=caroline2&v=1.3


Researchers should respect the following rights statement:

The publisher and rights holder of this work is Laboratory of Forest Sciences (University of Abomey-Calavi). This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: 7f3c6711-370c-49ba-8039-b74e97aec890.  Laboratory of Forest Sciences (University of Abomey-Calavi) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Benin.


Samplingevent; Simulium damnosum


Kpêyéton P. C. SEHOUETO
  • Metadata Provider
  • Originator
  • Point Of Contact
Laboratory of Forest Sciences (University of Abomey-Calavi)
BP 475 Calavi
00229 Abomey-Calavi
Rock Yves AIKPON
  • Originator
Centre de Recherche Entomologique de Cotonou (CREC)
00229 Gbétagbo
Jean Cossi GANGLO
  • Originator
  • Point Of Contact
Laboratory of Forest Sciences (University of Abomey-Calavi)
BP 1493
00229 Abomey-Calavi

Geographic Coverage

Benin, Afrique de l'Ouest

Bounding Coordinates South West [6.5, 1.046], North East [12.194, 3.676]

Taxonomic Coverage

Simulium damnosum

Kingdom Animalia

Temporal Coverage

Start Date / End Date 1970-01-01 / 2020-01-01

Project Data

This project is designed to provide data solutions to support expressed decisions making of three government institutions. Through workshops, the desired decisions the end-users are willing to make will be examined so as to clearly identify the appropriated needs of information and related key research questions to be answered. Data needs will then be adequately identified and, data mobilization in free access databases like GBIF, data gap analysis on available data, and complementary data mobilization in data holdings will be planned. Data mobilization, data and checklist publications on GBIF site will then be achieved. Under the supervision of trainers and project advisor, students in the master program, through their master research topics will achieve, in response to the key research questions, adequate data analysis and address the required needs of information to support decisions making of government institutions. Following the evaluation process by end-users, a plan will be set in place through partnership agreements between parties so as to enable the establishment of workflows and refinement of data mobilization and data solutions to fit more conveniently in decisions making during and beyond the project. Data solutions will be used in national biodiversity policy and international biodiversity platforms. Indicators towards the achievements of SDG and CBD targets as well as information on biodiversity assessments will be provided to end-users.

Title Data use to inform decisions on biodiversity conservation and public health in Benin
Identifier BID-AF2020-083-USE
Funding The funding of this project is generously provided by European Union in the framework of Biodiversity Information for Development program managed by GBIF Secretariat
Study Area Description The data digitized and published in the framework of this project are gathered throughout the whole country with respect to the data needs to inform decisions in the three partner institutions
Design Description The design is detailed according to the objectives of the project The initial planning phase will be achieved in the framework of workshops during which the consortium members and their collaborators, students, and supervisors of theses of the master program will be invited. The end-users from DGEFC, CENAGREF, and Hôpital Menontin will present their needs of information and the decisions they wish to support. The needs of information will be reformulated into key questions to be answered with respect to the decisions to be supported so as to identify the possible information resources to be taken into account. They can be databases like GBIF, Vertnet, species links etc. Any other relevant sources of information (data holders, data users, resource persons etc.) will also be considered. This will result in a plan of data mobilization, data publication, and data uses to support decisions. This plan will be consolidated through partnership agreements between parties. During data mobilization phase, taking into account the key questions to be answered, research topics will be identified and attributed to the students of the master program and other data users. Data will then be downloaded from GBIF, Vertenet, species links etc. and data gap analysis will be performed so as to find out the gaps of occurrences to be filled either from complementary field surveys, data holders, and literature reviews etc. Data collected to fill data gaps will be formatted, georeferenced, cleaned up, and published on GBIF site. The evaluation process will be carried out in two phases: i) during the information development phase, under the umbrella of their supervisors and the advisor of the program, students will process data to provide relevant answers to the key questions in order to guide the intended decision making of the partners; ii) in an evaluation phase, the results obtained (answers to the key questions) will be scrutinized with respect to their adequacy to support the intended decisions of end-users and, whenever necessary, data mobilization and data analysis refinements will be reconsidered to provide more relevant answers to the key questions to support decisions.

The personnel involved in the project:

Jean Cossi GANGLO
  • Point Of Contact

Sampling Methods

Patient diagnostic

Study Extent Data have been collected in Benin
Quality Control Species have been identified by specialist in the field

Method step description:

  1. 1- Patient diagnostic 2- Identification of the vectors by specialist

Bibliographic Citations

  1. Séhouéto KPC, Aikpon RY, Ganglo JC. 2020. Modélisation de la distribution spatiale et de la niche écologique de Simulium damnosum Theobald, vecteur de l’onchocercose dans le contexte des changements climatiques et globaux (Bénin, Afrique de l’Ouest). University of Abomey-Calavi (UAC), Faculty of Agronomics Sciences (FSA), Forest Sciences Laboratory (FSL), Benin (West Africa).
  2. PNLMT. 2017. Plan directeur national de lutte intégrée contre les maladies tropicales négligées. pp. 15-26.
  3. WHO. 2017. Global vector control response 2017– 2030. 52 p.

Additional Metadata

Alternative Identifiers 7f3c6711-370c-49ba-8039-b74e97aec890