Wildlife diversity of the Dogo-Kétou forest (Benin, West Africa)

出現紀錄
最新版本 published by Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC) on 12月 13, 2021 Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC)

下載最新版本的 Darwin Core Archive (DwC-A) 資源,或資源詮釋資料的 EML 或 RTF 文字檔。

DwC-A資料集 下載 13,536 紀錄 在 English 中 (259 KB) - 更新頻率: 有可能更新,但不確知何時
元數據EML檔 下載 在 English 中 (12 KB)
元數據RTF文字檔 下載 在 English 中 (10 KB)

說明

The dataset is about the varety of the wildlife of the Dogo-Kétou forest in Benin

資料紀錄

此資源出現紀錄的資料已發佈為達爾文核心集檔案(DwC-A),其以一或多組資料表構成分享生物多樣性資料的標準格式。 核心資料表包含 13,536 筆紀錄。

此 IPT 存放資料以提供資料儲存庫服務。資料與資源的詮釋資料可由「下載」單元下載。「版本」表格列出此資源的其它公開版本,以便利追蹤其隨時間的變更。

版本

以下的表格只顯示可公開存取資源的已發布版本。

如何引用

研究者應依照以下指示引用此資源。:

ATAYI GUEDEGBE M A S (2021): Wildlife diversity of the Dogo-Kétou forest (Benin, West Africa). v1.2. Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC). Dataset/Occurrence. http://ipt.gbifbenin.org/resource?r=wildlife_occ&v=1.2

權利

研究者應尊重以下權利聲明。:

此資料的發布者及權利單位為 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 註冊

此資源已向GBIF註冊,並指定以下之GBIF UUID: 6690ea02-c607-42a3-871b-da00586cbe54。  Laboratoire d'Ecologie Appliquée/Université d’Abomey-Calavi (LEA/UAC) 發佈此資源,並經由GBIF Benin同意向GBIF註冊成為資料發佈者。

關鍵字

Occurence; Wildlife; Diversity; Forest; Benin; null

聯絡資訊

Majoie A. S ATAYI GUEDEGBE
  • 元數據提供者
  • 出處
  • 連絡人
Searcher
Laboratoire d'Ecologie Appliquée
Cotonou
00229 Cotonou
Littoral
BJ
67196041
John HOUNTON
  • 連絡人
Abomey-Calavi
00229 Abomey-Calavi
Atlantique
BJ
97256894

地理涵蓋範圍

Southern Benin

界定座標範圍 緯度南界 經度西界 [7.39, 2.42], 緯度北界 經度東界 [7.546, 2.516]

分類群涵蓋範圍

The classified forest of Dogo-Kétou is located in southern Benin. It is under the influence of a Sudanoguinean climate marked by a bimodal regime.

Kingdom Animalia (Animal)

時間涵蓋範圍

起始日期 / 結束日期 2013-04-02 / 2016-10-01

計畫資料

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

計畫名稱 Regional graduate course for capacity development in biodiversity informatics in Africa
辨識碼 http://jrsbiodiversity.org/jrs-supports-capacity-development-uac-oxford-2018/ http://jrsbiodiversity.org/grants/uac-2018/
經費來源 The funding of this project is generously provided by JRS Biodiversity Foundation (http://jrsbiodiversity.org/)
研究區域描述 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.
研究設計描述 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.

參與計畫的人員:

Jean Cossi GANGLO
  • 研究主持人

取樣方法

Observational data

研究範圍 Classified forest of Dogo Ketou
品質控管 Field control step. Data entry and formatting. Checking for duplicates.

方法步驟描述:

  1. Field control step. Data entry and formatting. Checking for duplicates.

額外的詮釋資料