Data collected on animal species  through census using Kilometric Abundance Index (KAI) in Biosphere Reserve of W-Bénin. Data mobilized in the framework of JRS Biodiversity Foundation funded project in Benin			

Isidore Ogoudje AMAHOWE1, Sévérin NSIA2

1 Direction Générale des Eaux, Forêts et Chasse, 229, Cotonou; 2 Direction Générale des Eaux, Forêts et Chasse du Bénin, Cotonou, Benin

Corresponding author(s): Isidore Ogoudje AMAHOWE (ogoudje.amahowe@gmail.com)

Received {date}; Revised {date}; Accepted {date}; Published {date}

Citation: Combination of authors, year of data paper publication (in parentheses), Title, Journal Name, Volume, Issue number (in parentheses), and doi of the data paper.

Resource Citation

AMAHOWE O. I., CHABI-YAOURE F., GADO K., SINANDOUWIROU T.,  MOUTOUAMA J., DOSSA GBO F., KAKPO T., NOUDEHOU R., NSIA S. 2016.Mobilization of occurrence data on animal species  through census using Kilometric Abundance Index (KAI) in Biosphere Reserve of W-Bénin in 2014. 					

Abstract

Data on animal species  were  collected during wildlife census using Kilometric Abundance Index (KAI). Thus, geographical coordinates were registered  using GPS and all information of the species observation such as habitat, location were also recorded on field sheets  by team leaders. A total number of 659 data were recorded  for  animal census  in 2014  in  the Biosphere Reserve of W.

Keywords: Occurrence, Animal species, KAI, Biosphere Reserve of W

Project details

Project title: Implementation of the National Biodiversity Information System (NBIS) of Benin
Personnel: Jean Cossi GANGLO
Funding: The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Study area descriptions/descriptor: The data digitized and published in the framework of this project are gathered throughout the whole country
Design description: The design is detailed according tp the objectives of the project
1.	Extend and consolidate partnerships with institutions working in the field of biodiversity in Benin. This objective will be achieved during the first 18 months of the project, including at least 70% of the major institutions, through sensitization on the importance of biodiversity data publication and training of targeted staff members. Where required, the project will provide financial assistance to support data mobilization. 

2.	Mobilize more plant and animal data. This objective will be achieved during the first 18 months of the project by digitizing and publishing at least 50,000 geo-referenced animal and plant collections (Magnoliophyta, Pteridophyta, vertebrates, key insect groups) of partner institutions. Data mobilization will occur in the framework of GBIF procedures and standards. As a consequence, the NBIS portal will become the ‘go-to’ source of biodiversity information for the country.

3.	Mobilize global data for Benin. This objective will be achieved during the first 21 months of the project, but largely within the framework of another project to be submitted. We are building a West African digitization consortium via a formal partnership with researchers and institutions in Ghana, Togo, Nigeria, and Cameroon. Within this consortium, we will develop broad cooperation and collaboration with European and North American museums and herbaria for effective capture, repatriation, cleaning, georeferencing, and sharing of at least 50% of data from ‘frozen’ European and American museum collections regarding Benin (and West Africa more generally).

4.	Advance Beninese capacity in biodiversity analyses. This objective will be achieved throughout the project and beyond. My institution has signed an MOU with Kansas University (KU) to enable high-level scientific and technical assistance from the team of Dr Perterson to several universities in Benin. This assistance will help incorporate biodiversity informatics into Masters degree programs in Benin. Beninese students to be trained in the Ph.D. program at KU will be recruited at universities of Benin to carry on biodiversity informatics training and develop detailed case studies relevant to decision-making in biodiversity conservation in Benin.

Data published through GBIF: http://ipt-benin.gbif.fr/resource?r=amahowe_4

Taxonomic coverage

Taxonomic ranks
Kingdom: Plantae
Common names: Plante

Spatial coverage

General spatial coverage: Data on animal species  were  collected during wildlife census using Kilometric Abundance Index (KAI). Thus, geographical coordinates were registered  using GPS and all information of the species observation such as habitat, location were also recorded on field sheets  by team leaders. A total number of 659 data were recorded  for  animal census  in 2014  in  the Biosphere Reserve of W.
Coordinates: 11°16'12''N and 12°5'60''N Latitude; 2°0'36''E and 3°6'0''E Longitude 

Temporal coverage: March 4, 2014 - August 25, 2014

Datasets

Dataset description
Object name: Darwin Core Archive Data collected on animal species  through census using Kilometric Abundance Index (KAI) in Biosphere Reserve of W-Bénin. Data mobilized in the framework of JRS Biodiversity Foundation funded project in Benin			
Character encoding: UTF-8
Format name: Darwin Core Archive format
Format version: 1.0
Distribution: http://ipt-benin.gbif.fr/archive.do?r=amahowe_4
Publication date of data: 2017-01-20
Language: English
Licences of use: Creative Commons Attribution (CC-BY) 4.0 License

Metadata language: English
Date of metadata creation: 2017-01-20
Hierarchy level: Dataset

References
Lamarque F.2004. Les grands mammifères du complexe WAP.   Montpellier : CIRAD, 250 p. ISBN 2-87614-586-3						
https://fr.wikipedia.org/wiki						
www.iucnredlist.org