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Georeferenced soil database for running country-level forest growth simulation using the 3-PG process-based model
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Orientador(es)
Resumo(s)
In the current scenario of climate change, forest management faces new challenges, which has led
to an increased interest in physiologically based forest growth models. One of the simplest and
most versatile models, which has been used with different objectives namely to assessing the
impact of climate change on forest stands, is the 3-PG (Physiological Principles in Predicting
Growth). This physiologically based model has been widely used and tested to predict the primary
productivity of forest stands around the world. In this model, soil fertility is assigned through a
fertility index, the so-called FR (fertility rating), that varies between 0 and 1. Another fundamental
variable for site characterization is the maximum value of water available in the soil (MaxASW). The
objective of this work was to create a database for public use, which indicates the values of FR and
MaxASW for different geographical situations in Portugal. For this purpose, photopoints from the
National Forest Inventory were layered with soil information from SNISolo and EPIC WebGIS
Portugal. The FR and MaxASW were estimated for each pedological unit based on the descriptions
and analytical data of the different soil profiles contained in the soil cartography descriptive
memories allowing to assign each photopoint one or more FR and/or MaxASW values, depending
on the characteristics of the corresponding pedological unit. Preliminary tests based on the
comparision of observed data with results of 3PG simulations showed the reliability of the
information provided for FR and MaxASW. The database is still under testing and the work will keep
ongoing in order to tackle the lack of properly validated cartography for the coastal center part of
the country and revise the FR and MaxASW estimates whenever georeferenced pedological
information becomes available.
Descrição
Poster
Palavras-chave
3-PG fertility rating MaxASW soil database forest simulation
Contexto Educativo
Citação
Nunes, J., Magalhães, J., Barreiro S. Tomé M. Georeferenced soil database for running country-level forest growth simulation using the 3-PG process-based model. Poster. Encontro Anual das Ciências do Solo '24. Porto 3-5 Julho 2024