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izuku-franck1555/striga-economic-impact-africa

Domaine:

agriculture

Type de record:

software
Créateur:
izu
Hôte:
Spatial targeting and expansion prevention offer effective pathways to protect African maize from parasitic weed threats # Spatial Assessment of *Striga* Economic Impact on African Maize Production This repository contains the code for reproducing the analyses and figures presented in: > **Spatial targeting and expansion prevention offer effective pathways to protect African maize from parasitic weed threats** > > *Manuscript under review* ## Overview A computational framework for continental-scale assessment of parasitic weed (*Striga hermonthica* and *S. asiatica*) economic impacts on maize production across sub-Saharan Africa. The framework integrates agroecological similarity mapping, Monte Carlo simulation, future scenario modeling, and priority zone identification. ## Repository Structure ``` ├── 01-current-impact/ │ └── mc_simulation_calibrated.py # Monte Carlo economic loss estimation ├── 02-future-projections/ │ ├── climate_projections_2050_calibrated.py # Scenario-based projections to 2050 │ └── perform_climate_gsa.py # Global sensitivity analysis ├── 03-sensitivity-analysis/ │ └── input_sensitivity_analysis.py # Input data perturbation analysis ├── 04-figures/ │ ├── create_figure2_panels_ab.py # Figure 2a,b (suitability + infestation rate) │ ├── create_figure2_panels_cd.py # Figure 2c,d (economic loss + priority) │ ├── create_figure2_combined.py # Figure 2 combined │ ├── create_figure3.py # Figure 3 (economic impact analysis) │ ├── create_figure4.py # Figure 4 (future projections) │ ├── create_figure_s1.py # Figure S1 (occurrence data + maize production) │ └── create_figure_s2.py # Figure S2 (spatial resolution demonstration) ├── requirements.txt ├── LICENSE └── README.md ``` ## Installation ```bash git clone github.com cd striga-economic-impact-africa pip install -r requirements.txt ``` ## Requirements - Python 3.9+ - See `requirements.txt` for package de …

Visit

github.com

Licenses

MIT

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