Overview
Ecological models are mathematical or conceptual representations of how organisms interact with one another and with their environment. They formalise relationships such as predation, competition, food-web structure, energy flow, and population dynamics, allowing researchers to describe complex ecosystems, test hypotheses, and predict how changes in one species or environmental factor may ripple through an entire system. Such models are used to study questions ranging from species abundance and distribution to the effects of climate change, habitat alteration, and pollution, and they help guide conservation and resource-management decisions. The journal Plant and Animal Ecology publishes peer-reviewed research on the interactions of organisms and their habitats. Relevant work in this collection includes analysis of the krill-to-whale component of the pelagic food web and the importance of supporting these trophic links along migratory routes associated with deep-sea seamounts, a study that illustrates the kind of inter-species and ecosystem relationships ecological models seek to capture. This page gathers open-access scholarship relevant to ecological relationships and ecosystem dynamics, supporting evidence-based understanding of how the components of plant and animal communities are connected.
Research published in this journal
5 peer-reviewed articles, ranked by relevance. Each links to its DOI.
How this research is being cited
The 5 articles above have been cited 23 times in the scholarly literature. Citation data via OpenAlex and Crossref, updated Jun 2026.
-
2024 · Journal of Marketing Research
-
2024 · Journal of Environmental Protection
-
2024 · Water Practice & Technology
-
2024 · Journal of Environmental Protection
-
2024 · Research Square (Research Square)
-
2024 · Water Practice & Technology
-
Nurmala Dwiani et al. · 2024 · LEADER: Civil Engineering and Architecture Journal
-
2024 · Journal of Marketing Research
A sample of recent works citing this journal's research on Ecological Models, linking to each citing work.