pyMANGA: PYthon Models for AGeNt-based resource GAthering

Publikation: Deaktiviert: Nicht-textuelle VeröffentlichungenSoftware

Abstract

PYthon Models for AGeNt-based resource GAthering (pyMANGA) is a collection of models describing vegetation population dynamics from first principles. pyMANGA is modular, and descriptions of individual tree growth, resource availability and competition dynamics can be quickly interchanged.

Details

OriginalspracheEnglisch
MediumOnline
PublikationsstatusVeröffentlicht - 2023
Peer-Review-StatusNein

Externe IDs

ORCID /0000-0002-4542-6764/work/154741442

Schlagworte

Schlagwörter

  • ecological modeling, modular, forestry, plant growth