Data collected on Mesosphaerum suaveolens, Mesosphaerum Pectinatum, Hyptis spicigera and Hyptis lanceolata

Evento de amostragem
Versão mais recente published by Laboratory of Forest Sciences (University of Abomey-Calavi) on jun. 27, 2021 Laboratory of Forest Sciences (University of Abomey-Calavi)

Baixe a última versão do recurso de dados, como um Darwin Core Archive (DwC-A) ou recurso de metadados, como EML ou RTF:

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Descrição

Data collected in Benin on Spatial distribution, ecological niche of the pignut or chan , Mesosphaerum suaveolens (L.) Kuntze (Lamiaceae) and control and eradication strategies in the context of climate and global changes

Registros de Dados

Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 19 registros.

Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.

Event (core)
19
Occurrence 
1475

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.

Versões

A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.

Como citar

Pesquisadores deveriam citar esta obra da seguinte maneira:

Aikpon G., Koura K., Ganglo J. C., 2020. Spatial distribution, ecological niche of the pignut or chan , Mesosphaerum suaveolens (L.) Kuntze (Lamiaceae) and control and eradication strategies in the context of climate and global changes.

Direitos

Pesquisadores devem respeitar a seguinte declaração de direitos:

O editor e o detentor dos direitos deste trabalho é Laboratory of Forest Sciences (University of Abomey-Calavi). This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF Registration

Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: da671aae-032d-499f-bf54-3472330947e6.  Laboratory of Forest Sciences (University of Abomey-Calavi) publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por GBIF Benin.

Palavras-chave

Samplingevent; Biodiversity; biological invasions; invasive species; Benin; Africa

Contatos

Gorgias AIKPON
  • Provedor Dos Metadados
  • Originador
  • Ponto De Contato
Student / Assistant
Laboratory of forest sciences
BP 1493 Calavi
+229 Abomey-Calavi
Atlantique
BJ
61450451
Kourouma KOURA
  • Originador
Researcher
Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC)
O4 BP 0004
Cotonou
BJ
+22996716130
Jean GANGLO
  • Originador
Director
Laboratoire des Sciences Forestières/Université d’Abomey-Calavi (LSF/UAC)
BP 1493 Calavi
+229 Abomey-Calavi
Atlantique
BJ
+22966363770

Cobertura Geográfica

Benin (West africa)

Coordenadas delimitadoras Sul Oeste [7,176, 1,855], Norte Leste [9,938, 1,99]

Cobertura Temporal

Data Inicial / Data final 0009-04-10 / 0009-05-11

Dados Sobre o Projeto

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

Título Regional graduate course for capacity development in biodiversity informatics in Africa
Identificador http://jrsbiodiversity.org/jrs-supports-capacity-development-uac-oxford-2018/; http://jrsbiodiversity.org/grants/uac-2018/
Financiamento The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
Descrição da Área de Estudo 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.
Descrição do Design 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)

O pessoal envolvido no projeto:

GANGLO Jean Cossi
  • Ponto De Contato

Métodos de Amostragem

Random sampling

Área de Estudo Benin (West Africa)

Descrição dos passos do método:

  1. Indentification of species and geographic coordinate marking

Citações bibliográficas

  1. Aikpon G., Koura K., Ganglo J. C., 2020. Spatial distribution, ecological niche of the pignut or chan , Mesosphaerum suaveolens (L.) Kuntze (Lamiaceae) and control and eradication strategies in the context of climate and global changes. Master of science, Faculty of Agronomic Sciences, University of Abomey-Calavi

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