Descrição
Registros de Dados
Os dados deste recurso de evento de amostragem foram publicados como um Darwin Core Archive (DwC-A), que é o formato padronizado para compartilhamento de dados de biodiversidade como um conjunto de uma ou mais tabelas de dados. A tabela de dados do núcleo contém 40 registros.
Também existem 1 tabelas de dados de extensão. Um registro de extensão fornece informações adicionais sobre um registro do núcleo. O número de registros em cada tabela de dados de extensão é ilustrado abaixo.
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.
Versões
A tabela abaixo mostra apenas versões de recursos que são publicamente acessíveis.
Como citar
Pesquisadores deveriam citar esta obra da seguinte maneira:
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
Direitos
Pesquisadores devem respeitar a seguinte declaração de direitos:
O editor e o detentor dos direitos deste trabalho é 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
Este recurso foi registrado no GBIF e atribuído ao seguinte GBIF UUID: a24a38ca-607d-4304-9edc-3aa12742be83. Addis Ababa University publica este recurso, e está registrado no GBIF como um publicador de dados aprovado por Participant Node Managers Committee.
Palavras-chave
Samplingevent; Observation
Dados externos
Os dados de recurso também estão disponíveis em outros formatos
The effect of local and landscape level land-use composition on predatory arthropods in a tropical agricultural landscape | https://doi.org/10.1007/s10980-014-0115-y Research Article |
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Contatos
- Originador
- Ponto De Contato
- Data Steward
- Usuário
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.
Coordenadas delimitadoras | Sul Oeste [7,7, 36,192], Norte Leste [7,793, 36,438] |
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Cobertura Taxonômica
Nenhuma descrição disponível
Reino | Animalia |
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Filo | Arthropoda |
Ordem | Coleoptera |
Cobertura Temporal
Data Inicial / Data final | 2011-05-24 / 2011-09-14 |
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Dados Sobre o Projeto
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.
Título | Building capacity within biodiversity data between Ethiopia and GBIF nodes in Sweden and Finland |
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Identificador | CESP2024-013 |
O pessoal envolvido no projeto:
- Ponto De Contato
Métodos de Amostragem
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.
Área de Estudo | The data were collected from Gera district, Oromia region, southwest Ethiopia. |
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Descrição dos passos do método:
- 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.
Metadados Adicionais
Identificadores alternativos | https://cloud.gbif.org/africa/resource?r=beetle_community |
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