This chapter presents two companion large-scale quasi-experiments in ecological restoration in southeastern Australia. These experiments incorporate key elements of rigorous experimental design – randomisation, replication and control – making them exemplary models in landscape ecology. They offer a strong inferential framework for evaluating the effects of restoration treatments on woodland biodiversity and enable the identification of causal relationships between experimental factors.

The design includes treatments arranged factorially (kangaroo grazing, burning, logs dispersed and logs clumped) across three vegetation classes, structured spatially. To improve estimation of main effects, selected higher-order interactions are partially confounded with random block terms. The chapter includes example analyses for both the original and modified designs.

Given the rarity of long-term quasi-experiments in restoration, this work serves as a valuable model for integrating ecological research with practical restoration. Baseline data supports accurate tracking of ecological change, and the thoughtful design ensures all treatment effects can be reliably estimated.