Monitoring and management of Cerambyx cerdo in the Mediterranean region – a review and the potential role of citizen science

The Great Capricorn beetle, Cerambyx cerdo, and Mediterranean oak habitats (Quercus ilex – 9340 and Quercus suber – 9330) are protected by the Habitats Directive (HD). However, in the Mediterranean basin, these habitats are also traditionally used for animal, wood, and cork product...

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Bibliographic Details
Main Author: Paolo Casula
Format: Article
Language:English
Published: Pensoft Publishers 2017-07-01
Series:Nature Conservation
Online Access:https://natureconservation.pensoft.net/articles.php?id=12637
Description
Summary:The Great Capricorn beetle, Cerambyx cerdo, and Mediterranean oak habitats (Quercus ilex – 9340 and Quercus suber – 9330) are protected by the Habitats Directive (HD). However, in the Mediterranean basin, these habitats are also traditionally used for animal, wood, and cork productions. Cerambyx cerdo feeds into the wood of trees and can be perceived by forest practitioners as an umbrella species or as a pest, depending on the context. Monitoring programmes involving forest practitioners could thus focus on assessing: 1) the conservation status of the Great Capricorn beetle and habitats (distribution and abundance of insects and reproductive sites or colonised trees), 2) pest status, and 3) management options to achieve both conservational and economic benefits. Considering that Cerambyx cerdo and Cork and Holm oak forests are not priority species or habitats under the HD, targeted funding is likely to be limited for monitoring. In this context, citizen science could gather important information on the target species useful for the monitoring programmes and management. To address management questions, the citizen science based programme for Cerambyx cerdo monitoring and habitat conservation should be seen not only as citizens collecting good data sets, but also as a deeper collaboration amongst different knowledge bodies and perspectives within a community – based environmental monitoring and learning network.
ISSN:1314-6947
1314-3301