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Project Code [2019R560]

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Project title

Improvements to the dynamic yield models and to Growfor

Primary Funding Agency

Department of Agriculture, Food & the Marine

Co-Funding Organisation(s)

n/a

Lead Organisation

University College Dublin (UCD)

Lead Applicant

n/a

Project Abstract

The dynamic yield models for Irish forestry have become the standard tool for forest management planning. However, due to developments in the forest estate, with afforestation of better land by private landowners now dominating, the dynamic models, especially for conifers such as Sitka spruce, have been found to inadequately cover the full range of yield classes now experienced in forest management decision making. Therefore, it is necessary to explore ways to improve the models, especially for high and very high yield class stands. It is proposed to carry out an exploration for suitable data first, to assess the quantity and quality of available data that consist of pairs of plot measurements at two points in time in high yield class stands. In addition, the possibility of collecting new data, where plot data from one point in time is available and the second measurement can be carried out at the same location, will be explored. Based on the assessment of these available data, it will then be decided if the development of new yield models that include these new data is warranted, and if so, new models will be parameterised. In addition, the project will develop a web-based application of the Growfor system, which is the user interface for the full set of dynamic models.

Grant Approved

�213,352.80

Research Hub

n/a

Research Theme

Carbon Stocks, GHG Emissions, Sinks and Management Options

Start Date

01/11/2019

Initial Projected Completion Date

30/04/2021