オカレンス(観察データと標本)

Composition and abundance of benthic macroinvertebrates in Lake Albert, Uganda

最新バージョン National Fisheries Resources Research Institute によって公開 2022/09/13 National Fisheries Resources Research Institute
This dataset provides occurrence and composition of benthic macro-invertebrates from numerous biodiversity surveys conducted in the Lake Albert, Uganda.

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、1,050 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。

ダウンロード

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 1,050 レコード English で (32 kB) - 更新頻度: as needed
EML ファイルとしてのメタデータ ダウンロード English で (24 kB)
RTF ファイルとしてのメタデータ ダウンロード English で (13 kB)

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。:

Pabire G W, Egessa R (2022): Composition and abundance of benthic macroinvertebrates in Lake Albert, Uganda. v1.2. National Fisheries Resources Research Institute. Dataset/Occurrence. https://ipt-uganda.gbif.fr/resource?r=macroinvertslakealbert&v=1.2

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 National Fisheries Resources Research Institute。 This work is licensed under a Creative Commons Attribution Non Commercial (CC-BY-NC) 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: c419d694-08fc-42c5-8831-1de0ad069dd3が割り当てられています。   GBIF Uganda 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National Fisheries Resources Research Institute が、このリソースをパブリッシュしました。

キーワード

Occurrence; Lake Albert; Freshwater; Uganda; Observation

連絡先

リソースを作成した人:

Gandhi Willy Pabire
Research technitian
National Fisheries Resources Research Institue
Nile Crescent, Plot 39/45, Jinja Opposite the wagon ferry terminal
Jinja
UG
Robert Egessa
Research Officer
National Fisheries Resources Research Institue
Nile Crescent, Plot 39/45, Jinja Opposite the wagon ferry terminal
Jinja
UG

リソースに関する質問に答えることができる人:

Laban Musinguzi
Research Officer
National Fisheries Resources Research Institue
Nile Crescent, Plot 39/45, Jinja Opposite the wagon ferry terminal
Jinja
UG

メタデータを記載した人:

Gandhi Willy Pabire
Research technitian
National Fisheries Resources Research Institue
Nile Crescent, Plot 39/45, Jinja Opposite the wagon ferry terminal
Jinja
UG

他に、リソースに関連付けられていた人:

データ利用者
Laban Musinguzi
Research Officer
National Fisheries Resources Research Institue
Nile Crescent, Plot 39/45, Jinja Opposite the wagon ferry terminal
Jinja
UG

地理的範囲

The dataset covers Lake Albert in Uganda.

座標(緯度経度) 南 西 [0.928, 30.262], 北 東 [2.477, 31.657]

生物分類学的範囲

Freshwater macro invertebrates identified to order, class, subclass, family, genus, species, and subspecies.

Class  Clitellata,  Ostracoda
Subclass  Hirudinea
Order  Conchostraca,  Hemiptera,  Trombidiformes
Family  Baetidae,  Corixidae,  Ephemeridae,  Gomphidae,  Leptoceridae,  Libellulidae,  Naucoridae
Genus  Ablabesmyia,  Aspatharia,  Atrichopogon,  Biomphalaria,  Bulinus,  Caenis,  Chaoborus,  Chironomus,  Clinotanypus,  Cryptochironomus,  Cryptotendipes,  Culicoides,  Dipseudopsis,  Ecnomus,  Gabbiella,  Ictinogomphus,  Melanoides,  Mutela,  Neoperla,  Orectogyrus,  Palpomyia,  Procladius,  Procladius,  Procladius,  Tanypus,  Tanytarsus,  Tricorythus,  Trithemis
Species  Anisus natalensis,  Byssanodonta parasitica,  Caelatura aegyptica,  Caelatura bakeri,  Caridina nilotica,  Cleopatra bulimoides,  Coelatura acuminata,  Gabbiella walleri,  Gabbiella tilhoi,  Pisidium pirothi,  Povilla adusta
Subspecies  Bellamya unicolor rubecunda,  Corbicula fluminalis africana,  Gabbiella humerosa alberti,  Melanoides tuberculata butiabae,  Melanoides tuberculata tuberculata

時間的範囲

生成(収集)期間 2002-2020

プロジェクトデータ

This dataset was part of a project to advance access to quality freshwater data and information in Uganda by harnessing capacity in data mobilization, data available through GBIF and engagements with data user institutions. The goal was to advance utility of the data in conservation decision making, advocacy, education and reporting on biodiversity. Limited capacity of users to develop biodiversity information from primary biodiversity data, coupled with some deficiencies in data available through GBIF, is a main barrier to data use. This project worked to improve the quality of the data the National Fisheries Resources Research Institute (NaFIRRI) published through GBIF and used all the data available to develop freshwater biodiversity information to guide conservation planning. The quality of the occurrences were improved by linking them with abundance data and coordinates. Then, using all data available in GBIF, the project developed information products tailored to conservation planning. The information was envisaged to have a direct entry point into policies and practices of Uganda’s agricultural sector. The sector had been identified by the National Environmental Management Authority (NEMA) through a national biodiversity information Political and Economic Analysis (PEA), as the biggest sector threatening biodiversity. The information products developed were tailored to the information needs of the sector as defined in the PEA.

タイトル Advancing freshwater biodiversity data and information access, utility and relevance for conservation decision making in Uganda
識別子 BID-AF2020-145-USE
ファンデイング The project was funded by European Union through the Biodiversity Information for Development (BID) programme of the Global Biodiversity Information Facility (GBIF). Co-funding was available from the JRS Biodiversity Foundation, Royal Belgian Institute of Natural Sciences, and Government of Uganda
Study Area Description The project was a national project, mobilizing data from all water bodies in Uganda
研究の意図、目的、背景など(デザイン) NaFIRRI implemented biodiversity informatics projects in the past but freshwater biodiversity data remained in less useful formats especially for aquatic invertebrates and algae. Data mobilization in this project involved identifying and digitizing all available data from existing soft and hard copy records. Taxa occurrences and associated abundance data where applicable, were mobilized and published. The goal was to fill the data gaps. Our data mobilization design was such that, data was mobilized by each of the broad freshwater taxa (zooplankton, macroinvertebrates, fish and algae). Data for each of the broad taxa where possible, was grouped by each of the major lake systems in Uganda.

プロジェクトに携わる要員:

研究代表者
Laban Musinguzi

収集方法

A ponar grab with an open jaw area of 238 cm2 was used to take samples of benthic macroinvertebrates. One to three hauls were taken from each sampling point. When more than one haul was taken, they were mixed to form a composite sample. The bottom type at each point was described from the grabbed contents. This was captured as location remarks. Samples were concentrated and then placed in labeled sample bottles and preserved with 5% formalin solution. In the laboratory, each sample was rinsed with water and then placed on a white flat-bottomed tray. Macro-invertebrates were sorted, and individual taxa identified to the lowest possible taxonomic level using identification keys (Mandahl-Barth, 1954), Pennak, 1953), Merritt and Cummins, 1997, De Moor et al. 2003). All taxa were recorded, and individuals of each taxon enumerated to estimate their densities.

Study Extent The datasets present data for surveys conducted between 2002 and 2020.
Quality Control The samples were immediately processed in the field and treated with formalin to keep the organisms of interest intact. To avoid loss of organisms during sample processing, nets with appropriate mesh sizes were used.

Method step description:

  1. Collection of the macroinvertebrates In the field, sediment samples were collected using a ponar grab with an open jaw surface area of 238 cm2. At each site, three sediment samples were obtained. The three samples were mixed and concentrated to form one composite sample for each site. Preserving the samples The composite sample for each site was separately preserved in 5% formalin to maintain the organisms in good condition prior to analysis in the laboratory. Identification of macroinvertebrates In the laboratory, formalin was rinsed off from each sample and placed in white flat-bottomed trays. Using pairs of forceps, all benthic macro invertebrates were sorted from the sediment and the individual taxa identified to the lowest possible taxonomic level using appropriate identification keys and a dissecting binocular microscope at 4x 25 magnification.

書誌情報の引用

  1. De Moor IJ, Day JA and de Moor FC (Eds) (2003b) Guide to Freshwater Invertebrates of South Africa. Vol. 8: Insect II. Hemiptera, Megaloptera, Neuroptera, Trichoptera & Lepidoptera, 208Pg.
  2. Mendahl-Barth, G. (1954). The Freshwater Mollusks of Uganda and Adjacent Territories. Annls Mus. r. Congo Belge, 8°, Zoology, 32: 1–206.
  3. Merritt, R. W., & Cummins, K. W. (1997). An introduction to the aquatic insects of North America (3rd ed.). Dubuque: Kendall/Hunt Publishing Co. 720 Pg.
  4. Merritt, R. W., & Cummins, K. W. (1997). An introduction to the aquatic insects of North America (3rd ed.). Dubuque: Kendall/Hunt Publishing Co. 720 Pg.
  5. Merritt, R. W., & Cummins, K. W. (1997). An introduction to the aquatic insects of North America (3rd ed.). Dubuque: Kendall/Hunt Publishing Co. 720 Pg.

追加のメタデータ

代替識別子 c419d694-08fc-42c5-8831-1de0ad069dd3
https://ipt-uganda.gbif.fr/resource?r=macroinvertslakealbert