Non-mechanistic ecosystem models are employed in many ecological studies ranging from purely theoretical to data-driven ones. With such models in mind, we derive fundamental consistency criteria (axioms) from first principles. These particularly cover what we call clone consistency: The outcome does not change if a population is split into two with identical properties. We mathematically prove that, these axioms are fulfilled if and only if the model is based on linear combinations of powers of parameters and abundances. Using this insight, we formulate a framework that allows to quickly assess the consistency of existing models and to build new models. We demonstrate our approach by invalidating a data-based model proposed for polymicrobial urinary-tract infections and developing an alternative. We argue that our framework reveals implicit assumptions and informs the general modelling studies by narrowing the space of possible models or pointing to new forms of models.
Axiomatic Ecology: Rules for Building Consistent Ecosystem Models
Published 2019 in bioRxiv
ABSTRACT
PUBLICATION RECORD
- Publication year
2019
- Venue
bioRxiv
- Publication date
2019-08-05
- Fields of study
Computer Science, Environmental Science
- Identifiers
- External record
- Source metadata
Semantic Scholar
CITATION MAP
EXTRACTION MAP
CLAIMS
- No claims are published for this paper.
CONCEPTS
- No concepts are published for this paper.
REFERENCES
Showing 1-65 of 65 references · Page 1 of 1
CITED BY
- No citing papers are available for this paper.
Showing 0-0 of 0 citing papers · Page 1 of 1