Field Notes Journal

Wildlife Seasonal Modelling

The Seasonal Analyses describe the year through observation — repeated encounters with species, recorded over time and examined for pattern.

The models take a different approach. Rather than describing what is seen, they explore what simple processes might give rise to those patterns. Each model begins with a small set of assumptions — about presence, detectability, and seasonal change — and asks whether these are sufficient to reproduce the curves observed in the data.

Across species, three distinct ways of occupying the year emerge.

Some species are present only for part of the year, appearing within a defined seasonal window before disappearing again. Others are present throughout the year, but vary in how readily they are observed, their detectability rising and falling with behaviour and conditions. A third group — winter visitors — spans the year boundary, arriving in autumn, peaking in winter, and departing in spring.

These differences suggest three complementary models:

Each model is deliberately simple. They do not attempt to capture ecological processes in detail, nor are they intended to predict future observations. Instead, they act as a way of testing whether the broad patterns seen in the analyses can arise from straightforward mechanisms.

More recently, these models have been fitted to observed data. This allows each species to be described not only by its pattern, but by a small set of parameters — timing, duration, and shape — that together form a simple seasonal “signature”.

In this way, the models sit alongside the observations. The analyses describe how species occupy the year; the models ask how those patterns might come to be, and provide a consistent way of comparing them.

Available Models

Title Description
Resident Detectability Model How a resident species varies in visibility through the year
Seasonal Presence Model When a species appears within the year
Winter Visitor Model When a species appears across the year boundary

Interpretation

These models are deliberately simple and abstract — closer to minimal representations than detailed ecological mechanisms — and are intended to explore whether the observed patterns can arise from a small number of underlying processes, not to predict observations.

Tool

ODE Solver

A simple tool for exploring time-based models

The models presented here were developed using a small, general-purpose ordinary differential equation solver, designed for experimentation and visualisation.

It allows simple systems to be defined and explored over time, making it possible to test how patterns might arise from underlying processes.

The application, the models, and instructions on how to run them are provided in the GitHub repository.

View on GitHub