We use some essential cookies to make this website work.
We’d like to set additional cookies to understand how you use forestresearch.gov.uk, remember your settings and improve our services.
Preparing to search
A decision support system to help foresters predict and reduce damage and costs due to large pine weevil, Hylobius abietis.
Hylobius can cause extensive feeding damage to young trees used to restock clearfell sites but damage is often highly variable. Previously it has not been possible to predict damage and so insecticides have been routinely used to protect the trees to try to safeguard this valuable young crop. However, on clearfells where Hylobius numbers are low this treatment may be unnecessary and conversely when numbers are very high the treatment may be unable to protect the trees. Both of these situations result in losses in valuable resources.
Reduced costs of restocking achieved primarily through reduced insecticide use and reduced beat ups.
The Hylobius MSS can be used to help decide on the:
The real power of the Hylobius MSS is that it is being developed to determine the effects of changes in management strategies both alone and in combination on a site-specific basis. It reduces the risks inherent in management practices based on assuming 'average' severity and duration of Hylobius attacks.
Basic site information, site operational costs (defaults available) and Hylobius monitoring data are input to the system. Once entered users can either investigate:
The Hylobius MSS is available by annual subscription.
A condition of access to the Hylobius MSS is that users/user groups first undergo training in Hylobius monitoring and the use of the web-based system (see below).
Subsequently, Hylobius MSS users must register and pay for access to the system and this will also ensure subsequent software and technical support. During registration each user (or user group) will have to inform Forest Research of the number of sites they wish to manage using the system during the following year.
Once subscription has been confirmed a username and password will be issued and these are required to log onto the system for entry and retrieval of clearfell site management information from the system servers.
Once registered on the system you access the system.
General training courses to learn how to monitor Hylobius populations and use the Hylobius MSS software are jointly run by Forestry Commission Learning and Development and Forest Research Centre for Forestry and Climate Change. These generally take place annually in April/May and July just prior to the times when population monitoring should be carried out. Details of upcoming courses can be found on Forest Research’s events pages. Courses cost approximately £80 per person (based on 2008 charges).
We hope to develop on-line training documentation in the future.
The billet monitoring element of the Hylobius MSS can also be offered by Forest Research Technical Services Unit.
Act now to register your interest in using the Hylobius MSS softwarewhich is now available by annual subscription.
Contact the Forest Research Hylobius MSS Team to subscribe or discuss your requirements and any questions you may have.
To register and subscribeor todiscuss your requirements and answer your questions contact:
Cookies are files saved on your phone, tablet or computer when you visit a website.
We use 3 types of cookie. You can choose which cookies you're happy for us to use.
These essential cookies do things like remember your progress through a form. They always need to be on.
We use Google Analytics to measure how you use the website so we can improve it based on user needs. Google Analytics sets cookies that store anonymised information about: how you got to the site the pages you visit on forestresearch.gov.uk and how long you spend on each page what you click on while you're visiting the site
Some forestresearch.gov.uk pages may contain content from other sites, like YouTube or Flickr, which may set their own cookies. These sites are sometimes called ‘third party’ services. This tells us how many people are seeing the content and whether it’s useful.