Floristic inventory of the classified forest of Dogo-Kétou in the year 2019

オカレンス(観察データと標本)
最新バージョン Laboratory of Forest Sciences (University of Abomey-Calavi) により出版 5月 24, 2023 Laboratory of Forest Sciences (University of Abomey-Calavi)

DwC-A形式のリソース データまたは EML / RTF 形式のリソース メタデータの最新バージョンをダウンロード:

DwC ファイルとしてのデータ ダウンロード 2,148 レコード English で (54 KB) - 更新頻度: unknown
EML ファイルとしてのメタデータ ダウンロード English で (14 KB)
RTF ファイルとしてのメタデータ ダウンロード English で (12 KB)

説明

"A systematic sampling of the Dogo-Kétou forest was carried out. This technique allow to collect biodiversity data in the forest. It's a good technique in the forest because it has enormous advantages such as: Easier localization of sounding points allowing quick identification; cheaper travel, The regular distribution of points over the entire forest. This provides more information per unit cost compared to random sampling (Rondeux, 1999) The sampling device to be used is a square mesh of 200 m x 200 m, i.e. one sampling point over 4 hectares. The spaces were installed at a minimum distance of 50 m from the edge of the furthest track. close to avoid edge effects. Each plot will have an area of ​​one hectare subdivided into two sub-plots of 0.5 ha. The sampling area of ​​one ha makes it possible to integrate the maximum of biodiversity per plot."

データ レコード

この オカレンス(観察データと標本) リソース内のデータは、1 つまたは複数のデータ テーブルとして生物多様性データを共有するための標準化された形式であるダーウィン コア アーカイブ (DwC-A) として公開されています。 コア データ テーブルには、2,148 レコードが含まれています。

この IPT はデータをアーカイブし、データ リポジトリとして機能します。データとリソースのメタデータは、 ダウンロード セクションからダウンロードできます。 バージョン テーブルから公開可能な他のバージョンを閲覧でき、リソースに加えられた変更を知ることができます。

バージョン

次の表は、公にアクセス可能な公開バージョンのリソースのみ表示しています。

引用方法

研究者はこの研究内容を以下のように引用する必要があります。:

AIKPON G, AYENON M, TABE Z (2023): Floristic inventory of the classified forest of Dogo-Kétou in the year 2019. v1.1. Laboratory of Forest Sciences (University of Abomey-Calavi). Dataset/Occurrence. https://ipt.gbifbenin.org/resource?r=gor&v=1.1

権利

研究者は権利に関する下記ステートメントを尊重する必要があります。:

パブリッシャーとライセンス保持者権利者は Laboratory of Forest Sciences (University of Abomey-Calavi)。 This work is licensed under a Creative Commons Attribution (CC-BY 4.0) License.

GBIF登録

このリソースをはGBIF と登録されており GBIF UUID: 27305adb-c2cc-4fef-9390-601604510794が割り当てられています。   GBIF Benin によって承認されたデータ パブリッシャーとして GBIF に登録されているLaboratory of Forest Sciences (University of Abomey-Calavi) が、このリソースをパブリッシュしました。

キーワード

Occurrence; Inventory; Classified forest; 2019; Dogo-Ketou; Benin

連絡先

Gorgias AIKPON
  • メタデータ提供者
  • 最初のデータ採集者
  • 連絡先
Reseacher
Laboratory of Forest Sciences
Abomey-Calavi
Atlantic
BJ
61450451
Melkisédek AYENON
  • 最初のデータ採集者
Reseacher
Laboratory of Forest Sciences
Abomey-Calavi
Atlantic
BJ
96945141
Zoul-yadeini TABE
  • 最初のデータ採集者
Reseacher
Laboratory of Forest Sciences
Abomey-Calavi
Atlantic
BJ
66221817

地理的範囲

South-East of Benin

座標(緯度経度) 南 西 [7.554, 2.581], 北 東 [7.568, 2.593]

生物分類学的範囲

Plantae; Tracheophyta; Magnoliopsida; Fabales; Fabaceae

Species Acacia campylacantha

Plantae; Tracheophyta; Magnoliopsida; Malvales; Malvaceae

Species Cola cordifolia

Plantae;Tracheophyta; Magnoliopsida; Rosales; Cannabaceae

Species Celtis mildbraedii

時間的範囲

開始日 / 終了日 2019-03-22 / 2019-04-06

プロジェクトデータ

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.

タイトル Data use to inform decisions on biodiversity conservation and public health in Benin
識別子 BID-AF2020-083-USE
ファンデイング 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
研究の意図、目的、背景など(デザイン) 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.

プロジェクトに携わる要員:

Jean Cossi GANGLO
  • 連絡先

収集方法

"A systematic sampling of the Dogo-Kétou forest was carried out. This technique allow to collect biodiversity data in the forest. It's a good technique in the forest because it has enormous advantages such as: Easier localization of sounding points allowing quick identification; cheaper travel, The regular distribution of points over the entire forest. This provides more information per unit cost compared to random sampling (Rondeux, 1999) The sampling device to be used is a square mesh of 200 m x 200 m, i.e. one sampling point over 4 hectares. The spaces were installed at a minimum distance of 50 m from the edge of the furthest track. close to avoid edge effects. Each plot will have an area of ​​one hectare subdivided into two sub-plots of 0.5 ha. The sampling area of ​​one ha makes it possible to integrate the maximum of biodiversity per plot."

Study Extent South-East of Benin

Method step description:

  1. Recording of the presence of the species at each observation

追加のメタデータ

代替識別子 27305adb-c2cc-4fef-9390-601604510794
https://ipt.gbifbenin.org/resource?r=gor