Beetle community in forest-coffee agricultural landscape in southwest Ethiopia

Data Records

The data in this sampling event resource has been published as a Darwin Core Archive (DwC-A), which is a standardized format for sharing biodiversity data as a set of one or more data tables. The core data table contains 40 records.

1 extension data tables also exist. An extension record supplies extra information about a core record. The number of records in each extension data table is illustrated below.

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.

Versions

The table below shows only published versions of the resource that are publicly accessible.

How to cite

Researchers should cite this work as follows:

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

Rights

Researchers should respect the following rights statement:

The publisher and rights holder of this work is Addis Ababa University. To the extent possible under law, the publisher has waived all rights to these data and has dedicated them to the Public Domain (CC0 1.0). Users may copy, modify, distribute and use the work, including for commercial purposes, without restriction.

GBIF Registration

This resource has been registered with GBIF, and assigned the following GBIF UUID: a24a38ca-607d-4304-9edc-3aa12742be83.  Addis Ababa University publishes this resource, and is itself registered in GBIF as a data publisher endorsed by Participant Node Managers Committee.

Keywords

Samplingevent; Observation

External data

The resource data is also available in other formats

Contacts

Geographic Coverage

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.

Taxonomic Coverage

No Description available

Temporal Coverage

Project Data

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.

The personnel involved in the project:

Sampling Methods

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.

Method step description:

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.

Additional Metadata