Filtering by: Impacts on Agriculture, Forests and Ecosystem Services Division

3D-CMCC FEM

3D-CMCC-FEM – Three Dimension Forest Ecosystem Model (Collalti et al., 2014; Collalti et al., 2016; Marconi et al., 2017; Collalti et al., 2018) is a dynamic process-based model which simulates forest growth, carbon allocation and other dynamics in heterogeneous populations (mixed and un-evenaged). The model is based on the reproduction, at daily time scale and according to climate, soil and stand characteristics, of the main eco-physiological processes governing gross and net primary production (GPP, NPP), carbon and water dynamics.


Coexistence Model

The coexistence model (Di Paola et al., 2012) is a simple quantitative dynamic model able to explain the observed co-occurrence of sclerophyllous evergreen oak species with deciduous ones of the Mediterranean forests. The model is formulated as a set of differential equations describing the competitive dynamic between two groups of species having different physiological responses to water stress.


IDI – Integrated Desertification Index

The Integrated Desertification Index (IDI) was developed (Santini et al., 2010) to combine in a semi-quantitative way multiple processes leading to desertification and simulated via mechanistic to empirical models. The outcomes from the modelling efforts on different desertification components are standardized and weighted so to be inserted in the IDI formulation.


LUC@CMCC – Land use change model

The land use change model LUC@CMCC was reformulated in Santini and Valentini (2011) starting from the CLUEs model (Verburg et al. 2002) to reproduce the dynamics of land use/cover change in the past and project them in the future.


SWAT

SWAT is a hydrologic model, developed by the Agricultural Research Service (ARS) of the United States Department of Agriculture (USDA) and Texas A&M AgriLife Research, that operates in order to assess the impacts of land management on water quality and quantity in watersheds over long periods. It has the capacity to simulate important nutrient and pesticide processes in the land phase and in the in-stream phase.

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