Revitalizing Orchard Meadows with Walnut Trees? Exploring Decision Analysis-Oriented Modelling Techniques to Guide This Decision on Farm Level
This model explores an Decision Analysis Approach for agricultural interventions. It represents a farmer's decision to revitalize their orchard meadows by planting walnut trees where former trees have died, to preserve the habitat character and generate additional economic income.
The decision has environmental aspects (i.e. risks by diseases, droughts, or spring frosts; tree-age specific vulnerability for those risks), economical (labor efforts, machinery prices, supply chain scenarios), and political aspects (subsidies, scneario for an investition subsidy and shared machinery investement scenario).
The model's logic is identified in the conceptual model.
By usuage of the decisionSupport package, the decision is implemented in main_code3.r
:
- The logical model is implemented as
orchard_revitalization
code function. - Posterior distributions are simulated using Marcov Chain Monte Carlo Simulations with the
mcSimulation
function, withn=100000
model runs. Knowledge gaps are identified by Expected Value of Perfect Information analysismulti_EVPI
. For sensitivity analyses by Variable Influence Projecten based on Partial Lest Square regression (VIP-PLS), theplsr.mcSimulation
function is used.
The required data input are 3 data tables stored in the Data folder (data_agency.xlsx
, data_estimates.xlsx
, and data_variables.xlsx
) where variable names and their prior distributions are stored.
Output graphs can be stored as svg
files. Examples are found in the Output
folder.
Further packages are requires: tidyverse
, readxl
, svglite
.
Interim Approaches have been stored in "Archive" and were branched.
Heidi Hoffmann, heidi.hoffmann@stud.uni-goettingen.de
For the Module "Project Ecosystem Analysis and Modelling", submission 14th March 2025.
Many Thanks to Cory WHitney (Uni Bonn) for his great support and advise!
Closed.