Work

Modelling post-disturbance empirical patterns in a forest ecosystem: supporting code v1.0

Year: 2024

Type: article

Abstract: Code for submission of the paper 'Modelling post-disturbance empirical patterns in a forest ecosystem'. Extracts relevant data from the Paracou Disturbance Experiment dataset, performs analysis and simulations. Data are available upon request at https://dataverse.cirad.fr/dataverse/paracou and is to be placed in the folder ./data/; data pertaining each plot should be saved in separate files, i.e. 'plot1.csv', ..., 'plot12.csv'. Code written in Julia 1.9.3, tested on MacOS Sonoma 14.6.1. This repository contains a zip version with a suitable folder structure; the code is given in Jupyter notebook form for ease of utilization. To reproduce results of the paper, run all the notebook.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.13683330

Author: Zanchetta, Davide

Language: English

Topic: Ecology and Vegetation Dynamics Studies

Subfield: Nature and Landscape Conservation

Field: Environmental Science

Domain: Physical Sciences

SDG: Life on land

Open Access status: green

OpenAlex ID: W6893105673

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