Developing a general method for the estimation of the fertility rating parameter of the 3-PG model: application in Eucalyptus globulus plantations in northwestern Spain

Author:

Vega-Nieva Daniel J.1,Tomé Margarida2,Tomé José2,Fontes Luís2,Soares Paula2,Ortiz Luis1,Basurco Fernando3,Rodrígez-Soalleiro Roque4

Affiliation:

1. Faculty of Forest Engineering, University of Vigo, Campus A Xunqueira, 36005 Pontevedra, Spain.

2. Centro de Estudos Florestais, Instituto Superior Agronomia, Technical University of Lisbon, Tapada Ajuda, 1349 017 Lisboa, Portugal.

3. CIT Ence, Lourizán 36153, Pontevedra, Spain.

4. Unit of Sustainable Forest Management, University of Santiago 27002, Lugo, Spain.

Abstract

Simple, operational tools are required for forest managers to quantify the effects of soil fertility on tree growth and ecosystem sustainability leading to precise, sustainable forest management. The simplified process-based 3-PG model (Landsberg, J.J., and Waring, R.H., For. Ecol. Manage. 95: 209–228, 1997) provides a useful framework for operational prediction of forest growth. However, no simple objective method for relating the effects of available soil nutrients to the model fertility parameter fertility rating (FR) is yet available. The present study aimed to compare several general modeling approaches for the estimation of FR values from soil relative nutrient contents (RNCs) to maximum nonlimiting values, measured in the whole soil profile, at continuous inventory plots of Eucalyptus globulus Labill. in several locations under different parent materials in northwestern Spain. The modeling approaches tested provided good predictions of FR values from RNCs. In particular, using the minimum value of the most significant RNCs showed considerable potential for modeling FR values and plantation growth responses to them. This modeling approach showed promise to be further tested as a generally applicable strategy for estimating the effect of soil nutrients on forest plantations growth.

Publisher

Canadian Science Publishing

Subject

Ecology,Forestry,Global and Planetary Change

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