Integration of Forest Growth Component in the FEST-WB Distributed Hydrological Model: The Bonis Catchment Case Study

Author:

Feki MounaORCID,Ravazzani GiovanniORCID,Ceppi AlessandroORCID,Pellicone GaetanoORCID,Caloiero TommasoORCID

Abstract

In this paper, the FEST-FOREST model is presented. A FOREST module is written in the FORTRAN-90 programming language, and was included in the FEST-WB distributed hydrological model delivering the FEST-FOREST model. FEST-FOREST is a process-based dynamic model allowing the simulation at daily basis of gross primary production (GPP) and net primary production (NPP) together with the carbon allocation of a homogeneous population of trees (same age, same species). The model was implemented based on different equations from literature, commonly used in Eco-hydrological models. This model was developed within the framework of the INNOMED project co-funded under the ERA-NET WaterWorks2015 Call of the European Commission. The aim behind the implementation of the model was to simulate in a simplified mode the forest growth under different climate change and management scenarios, together with the impact on the water balance at the catchment. On a first application of the model, the results are considered very promising when compared to field measured data.

Publisher

MDPI AG

Subject

Forestry

Reference49 articles.

1. The State of the World’s Forests 2020: Forests, Biodiversity and People,2020

2. Ecosystem Dynamics: From the Past to the Future;Bradshaw,2014

3. Ecosystem Goods and Services from Plantation Forests,2010

4. Forest Biodiversity and the Delivery of Ecosystem Goods and Services: Translating Science into Policy

5. Role of eucalypt and other planted forests in biodiversity conservation and the provision of biodiversity-related ecosystem services

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