Skip navigation

A forest model archive?

A forest model archive?

Rennolls, Keith, Ibrahim, Moh and Smith, Peter (2014) A forest model archive? In: Proceedings: Forest Biometry, Modelling and Information Systems. Proceedings: Forest Biometry, Modelling and Information Systems, Greenwich, London, UK.

Full text not available from this repository.


The recent history and current trends in the collection and archiving of forest information and models is reviewed. The question is posed as to whether the community of forest modellers ought to take some action in setting up a Forest Model Archive (FMA) as a means of conserving and sharing the heritage of forest models that have been developed over several decades.

The paper discusses the various alternatives of what an FMA could be, and should be. It then goes on to formulate a conceptual model as the basis for the construction of a FMA.

Finally the question of software architecture is considered. Again there are a number of possible solutions. We discuss the alternatives, some in considerable detail, but leave the final decisions on these issues to the forest modelling community.

This paper has spawned the “Greenwich Initiative” on the FMA. An internet discussion group on the topic will be started and launched by the “Trafalar Group”, which will span both IUFRO 4.1 and 4.11, and further discussion is planned to take place at the Forest Modelling Conference in Portugal, June 2002.

Item Type: Conference Proceedings
Title of Proceedings: Proceedings: Forest Biometry, Modelling and Information Systems
Additional Information: [1] This paper was first presented at Forest Biometry, Modelling and Information Science, a IUFRO 4.11 (International Union of Forest Research Organisations: Statistical Methods, Mathematics, and Computing) conference, held at the University of Greenwich, London, UK in June 2001. It was given within the Information Conservation and Sharing theme.
Uncontrolled Keywords: forestry, data, archives, data modelling
Subjects: Q Science > QA Mathematics > QA76 Computer software
S Agriculture > SD Forestry
Faculty / School / Research Centre / Research Group: Faculty of Liberal Arts & Sciences > Computational Science & Engineering Group (CSEH)
Related URLs:
Last Modified: 02 Nov 2016 14:53

Actions (login required)

View Item View Item