Diversity and distribution of multipurpose species in Benin

Latest version published by Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC) on Mar 28, 2020 Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC)

This occurrence dataset presents the distribution of multipurpose plant species censused from South to Centre Benin, mainly in the forest of Monts Kouffets, the game ranching of Savalou and in the quarries of Abomey-Calavi.

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 10,138 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.

Downloads

Download the latest version of this resource data as a Darwin Core Archive (DwC-A) or the resource metadata as EML or RTF:

Data as a DwC-A file download 10,138 records in French (263 KB) - Update frequency: unknown
Metadata as an EML file download in English (13 KB)
Metadata as an RTF file download in English (11 KB)

Versions

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

How to cite

Researchers should cite this work as follows:

Essou F (2020): Diversity and distribution of multipurpose species in Benin. v1.0. Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC). Dataset/Occurrence. http://ipt.gbifbenin.org/resource?r=essou_2&v=1.0

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC). 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: 72ae38f9-e9d0-4da6-bd29-cb76e41e5bcb.  Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC) publishes this resource, and is itself registered in GBIF as a data publisher endorsed by GBIF Benin.

Keywords

Occurrence; Observation; Multipurpose species

Contacts

Who created the resource:

Fiacre Essou
Assistant
Laboratoire d'Ecologie Applquée Abomey-Calavi Atlantic BJ

Who can answer questions about the resource:

Fiacre Essou
Assistant
Laboratoire d'Ecologie Applquée Abomey-Calavi Atlantic BJ

Who filled in the metadata:

Fiacre Essou
Assistant
Laboratoire d'Ecologie Applquée Abomey-Calavi Atlantic BJ

Who else was associated with the resource:

Publisher
Jaurès Gbetoho
Assistant
Laboratoire des Sciences Forestières Abomey-Calavi Atlantique

Geographic Coverage

South and Centre Benin

Bounding Coordinates South West [6.293, 0.703], North East [12.469, 3.867]

Taxonomic Coverage

No Description available

Kingdom  Plantae

Temporal Coverage

Start Date / End Date 2000-01-01 / 2019-12-31

Project Data

Through key objectives, this project is designed to overcome the challenge of lack of capacities in Africa: Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program: At least 20 Beninese students and 10 students of other nationalities will be yearly recruited and fully capacitated in the program (Months 4, 16, 28 and beyond the project) (Output 1). The courses will be recorded and shared worldwide (Outcome 4). Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals): Through workshops, at least, each year, 50 other GBIF Benin partners will be trained in relevant topics of biodiversity informatics (Months 6, 12, 18, 24, 30, 34 and beyond) (Output 5) Objective 3: Fill data gaps in priority thematic areas of Benin and other countries involved in the project: Trained students will achieve data gaps analysis in priority thematic areas (Months 12 – 36 and beyond) (Output 6) and contribute to fill data gaps (Months 12 – 36 and beyond) (Output 7). Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation: Trained students will use data to address needs of information (Months 12 – 36 and beyond) (Output 8) and largely disseminate the results via multimedia (Months 12 – 36 and beyond) (Output 9). Project Objective 5: Enhance staff development: We will provide internship opportunities to strengthen capacities of national trainers and most brilliant students to enable them to sustainably carry on the training of students in the program

Title Regional graduate course for capacity development in biodiversity informatics in Africa
Identifier http://jrsbiodiversity.org/jrs-supports-capacity-development-uac-oxford-2018/ ; http://jrsbiodiversity.org/grants/uac-2018/
Funding The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Study Area Description Actually in Benin, we estimate that there are 400 – 600 working biodiversity information scientists in public and private agencies. With few exceptions, the situation is not much different in the rest of African countries. Those biodiversity information scientists usually base their decisions - of biodiversity conservation - on floristic and faunistic compositions of ecosystems and related communities as well as on ecology, ethology and habitat characteristics of different species. This approach becomes limiting to conserve efficiently and sustainably biodiversity in the actual threatening context of climate and global changes exacerbated by diverse pressures on biodiversity. To overcome that limitation, we rather need a critical mass of scientists with sound knowledge in biodiversity informatics to achieve relevant results on spatial distributions, ecological niches… of species and different biota to inform decisions on priority areas of biodiversity. In order to develop a trained cohort to meet national needs, we believe that Benin needs to train at least an additional 20 master students. Additionally, training each year at least 10 other masters and advanced students from different African countries, will result in progressive but efficient creation of homes of biodiversity informatics to enhance biodiversity conservation and sustainable uses throughout Africa.
Design Description The work plan of the project is presented per objective: Objective 1: Build in-depth capacities in biodiversity informatics to students in masters program We will recruit students every year (Activity 1) at least 20 Beninese students and 10 students of other nationalities (Months 4, 16, 28 and beyond) (Output 1).Students will be fully trained in relevant topics of biodiversity informatics by national and international experts (Months 1-36 and beyond) (Activity 2) so that, after two years of training, at least 80% of students successfully graduate (Months 18, 30 and beyond) (Output 2). The courses will be recorded and shared (Months 1-36) (Activity 3) to enable worldwide use and reuse (Outcome 3). Objective 2: Build capacities in biodiversity informatics to other GBIF Benin partners (students and professionals) Here, we will enhance, through one Professional Skills Workshop per year, capacity buildings to other GBIF Benin partners (Months 6, 18, 30and beyond) (Activity 4) by training yearly, at least 50 of them in relevant topics of biodiversity informatics (Output 4). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). Objective 3: Whenever deemed relevant, identify and fill data gaps in priority thematic areas of Benin and other countries involved in the project Whenever relevant, trained students will achieve data gaps analysis (Months 12 – 36 and beyond) (Activity 5) in at least 3 priority thematic areas of their respective countries (Months 12 – 36 and beyond) (Output 5); they will then collect and publish data (Months 12 – 36 and beyond) (Activity 6) to fill the gaps identified (Months 12 – 36 and beyond) (Output 5). Therefore, data gap analysis, data collection, and data uses will be promoted (Outcome 4). Objective 4: Use data to develop appropriate products to inform decisions on biodiversity conservation To attain that objective, trained students will use data (Months 12 – 36 and beyond) (Activity 7) to address needs of information (species, biota spatial distributions and niche models…) to support biodiversity conservation (Months 12 – 36 and beyond) (Output 7). We will then, through Communication and Outreach Workshops (1 per year), achieve communication and outreach (Months 12 – 36 and beyond) (Activity 8) to largely disseminate the products developed, in government agencies, NGOs, universities, private sectors… (Months 12 – 36 and beyond) (Output 8). Therefore, detailed and data products developed will be promoted in decision making (Outcome 5). Objective 5: Enhance staff development Here, we will provide internship opportunities to national trainers and most brilliant students to strengthen their capacities so that they can reliably carry on the training of students (Months 1 – 36 and beyond) (Activity 9) to sustain in the program (Outcome 7)

The personnel involved in the project:

Publisher
Jean Cossi GANGLO

Sampling Methods

The sampling scheme was given in the column Samplingdescription of the dataset. Rectangular plots of 1000 square meters or circular plots of 18 m radius were randomly set

Study Extent Data were collected in classified forest and pastures from South to North Benin

Method step description:

  1. After data collection and identification of species, the records have been digitized into a database and published after formatting and cleaning processes.

Additional Metadata

Alternative Identifiers http://ipt.gbifbenin.org/resource?r=essou_2