Beetle community in forest-coffee agricultural landscape in southwest Ethiopia

Registros

Los datos en este recurso de evento de muestreo han sido publicados como Archivo Darwin Core(DwC-A), el cual es un formato estándar para compartir datos de biodiversidad como un conjunto de una o más tablas de datos. La tabla de datos del core contiene 40 registros.

también existen 1 tablas de datos de extensiones. Un registro en una extensión provee información adicional sobre un registro en el core. El número de registros en cada tabla de datos de la extensión se ilustra a continuación.

Este IPT archiva los datos y, por lo tanto, sirve como repositorio de datos. Los datos y los metadatos del recurso están disponibles para su descarga en la sección descargas. La tabla versiones enumera otras versiones del recurso que se han puesto a disposición del público y permite seguir los cambios realizados en el recurso a lo largo del tiempo.

Versiones

La siguiente tabla muestra sólo las versiones publicadas del recurso que son de acceso público.

¿Cómo referenciar?

Los usuarios deben citar este trabajo de la siguiente manera:

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

Derechos

Los usuarios deben respetar los siguientes derechos de uso:

El publicador y propietario de los derechos de este trabajo es Addis Ababa University. En la medida de lo posible según la ley, el publicador ha renunciado a todos los derechos sobre estos datos y los ha dedicado al Dominio público (CC0 1.0). Los usuarios pueden copiar, modificar, distribuir y utilizar la obra, incluso con fines comerciales, sin restricciones.

Registro GBIF

Este recurso ha sido registrado en GBIF con el siguiente UUID: a24a38ca-607d-4304-9edc-3aa12742be83.  Addis Ababa University publica este recurso y está registrado en GBIF como un publicador de datos avalado por Participant Node Managers Committee.

Palabras clave

Samplingevent; Observation

Datos externos

Los datos del recurso también están disponibles en otros formatos

Contactos

Cobertura geográfica

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.

Cobertura taxonómica

No hay descripción disponible

Cobertura temporal

Datos del proyecto

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.

Personas asociadas al proyecto:

Métodos de muestreo

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.

Descripción de la metodología paso a paso:

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.

Metadatos adicionales