pyMANGA: Harnessing the Power of Modularity and Reusability for Robust Ecological Modeling

Research output: Contribution to conferencesPresentation slidesContributedpeer-review

Contributors

Abstract

Agent-based ecological models are essential tools for understanding and managing ecological systems, especially in the context of rapid global change. However, challenges in validating, reproducing, and comparing these models persist, hindering their effective integration into decision-making processes. In this poster, we present pyMANGA, a free and open-source platform designed to address these challenges. pyMANGA's modular design facilitates the incorporation of different plant growth, resource, and competition concepts, allowing systematic testing of related hypotheses, e.g. to identify dominant processes in forest development. We also present a systematic benchmarking strategy to ensure platform reliability and discuss how pyMANGA can be used to compare models of different levels of abstraction and complexity.

Details

Original languageEnglish
Publication statusPublished - 11 Sept 2024
Peer-reviewedYes

Symposium

Title53rd Annual Conference German Ecological Society
SubtitleThe future of sustainable land use across ecosystems, landscapes and biomes
Abbreviated titleGfÖ 2024
Conference number2024
Duration9 - 13 September 2024
Website
LocationTUM School of Life Sciences
CityFreising
CountryGermany