Beetle community in forest-coffee agricultural landscape in southwest Ethiopia

Enregistrements de données

Les données de cette ressource données d'échantillonnage ont été publiées sous forme d'une Archive Darwin Core (Darwin Core Archive ou DwC-A), le format standard pour partager des données de biodiversité en tant qu'ensemble d'un ou plusieurs tableurs de données. Le tableur de données du cœur de standard (core) contient 40 enregistrements.

1 tableurs de données d'extension existent également. Un enregistrement d'extension fournit des informations supplémentaires sur un enregistrement du cœur de standard (core). Le nombre d'enregistrements dans chaque tableur de données d'extension est illustré ci-dessous.

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Versions

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Comment citer

Les chercheurs doivent citer cette ressource comme suit:

Lemessa, D. (2025). Beetle community in forest-coffee agricultural landscape in southwest Ethiopia. Version 1.0. Samplingevent dataset. https://test.gbif.se/ipt/resource?r=beetle_community&v=1.0

Droits

Les chercheurs doivent respecter la déclaration de droits suivante:

L’éditeur et détenteur des droits de cette ressource est Addis Ababa University. En vertu de la loi, l'éditeur a abandonné ses droits par rapport à ces données et les a dédié au Domaine Public (CC0 1.0). Les utilisateurs peuvent copier, modifier, distribuer et utiliser ces travaux, incluant des utilisations commerciales, sans aucune restriction.

Enregistrement GBIF

Cette ressource a été enregistrée sur le portail GBIF, et possède l'UUID GBIF suivante : a24a38ca-607d-4304-9edc-3aa12742be83.  Addis Ababa University publie cette ressource, et est enregistré dans le GBIF comme éditeur de données avec l'approbation du Participant Node Managers Committee.

Mots-clé

Samplingevent; Observation

Données externes

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Contacts

Couverture géographique

The study was conducted in agricultural landscape of Gera district in Oromia, southwest Ethiopia (7°34'–7°58'N and 36°04'–36°43'E). The area is 1,800–2,500 m a.s.l. and the topography varies from gentle to undulating and rugged slopes.

Couverture taxonomique

Pas de description disponible

Couverture temporelle

Données sur le projet

Biodiversity is crucial for maintaining a healthy environment, ensuring food security, and building resilience, especially in developing countries such as Ethiopia. Rich in biodiversity and traditional farming systems, Ethiopia hosts the Eastern Afromontane biodiversity hotspot as well as the Horn of Africa biodiversity hotspot, which are critical for the Arabica coffee wild gene pool, but one of the least developed globally. Conserving biodiversity in Ethiopia requires robust evidence, skills, and policies, and quality data production and effective mobilization to data aggregators like GBIF are essential. The biodiversity data in Ethiopia is available in fragmented forms across various institutions, limiting access, especially for policymakers and practitioners. This bottleneck is largely due to the need for skills in developing and managing databases and making data available in an integrated manner at national, regional, and global scales. In addition, there is a shortage of analytical skills in producing quality scientific data and knowledge. This project aims to extend the work initiated in 2017 by the EU-funded GBIF Biodiversity Information for Development project BIDERSE and to address challenges by providing capacity-building training and knowledge transfer, enabling stakeholders to mobilize, manage, and use data according to global best practices. The key stakeholders identified for establishing a national biodiversity platform will act as a basis for this initiative.

Les personnes impliquées dans le projet:

Méthodes d'échantillonnage

A total of 40 home gardens were investigated that varied in local tree cover and were situated at different distances from forest edges. After locating each home garden using a handheld GPS and maps, six plastic pitfall traps (8 cm diameter and 6 cm deep) were installed. Traps were placed at 1 m intervals and connected by a guide-vane (5 cm 9 1 m) to enhance trapping efficiency. Traps were covered with a plastic plate roof, supported by nails from the side, to prevent rain from entering. During the first week after installation, traps were closed with lids to reduce ‘digging-in effects’ (Digweed et al. 1995). When the trapping started, the cups were partially filled (ca ) with a 5 % acetic acid solution, which served both as an attractant and preservative (Woodcock 2005). The traps were emptied and refilled with fresh acetic acid every 4–7 days in each home garden during the periods 11 May to 11 June and 18 August to 14 September 2011. All specimens were transferred to vial tubes with 70 % alcohol for later identification.

Description des étapes de la méthode:

1. The specimens were collected using pitfall traps during two separate months. It examined how different land-use types and forest cover at different scales influenced the abundance and species composition of beetles in 40 home gardens in southwest Ethiopia.

Métadonnées additionnelles