Navigating high costs
Dr Chen elaborated on the high costs of marine ecosystem restoration, explaining that restoration efforts can be very expensive due to a variety of factors. Different restoration methods, such as those for salt marshes, seagrass, or coral reefs, come with different cost ranges. On this note, she provided a comparison of costs across various marine restoration projects, illustrating that restoration for different habitats can vary significantly.
For example, salt marsh restoration is comparatively cheaper than coral reef restoration, and methods for restoring seagrass fall in between. The varying costs of these approaches depend on many factors including the type of habitat, the method used, and the level of restoration required.
Identifying the most efficient measures
A key challenge discussed was determining which restoration measures to invest in, especially given their varied costs and potential outcomes. Here, she introduced the concept of cost-effectiveness analysis, which is a common tool used in project appraisals, particularly when benefits are not easily quantified in monetary terms.
She clarified that, in marine ecosystem restoration, the goal is to identify the most cost-effective measures that will still meet restoration targets. The success of restoration measures can vary, and some approaches require multiple attempts before achieving the desired result. Dr Chen then emphasized that cost-effectiveness analysis allows for comparing different restoration methods to identify the one that achieves the target at the lowest cost, while considering the likelihood of success and the time required for restoration.
Illustrating cost-effectiveness: a practical example
To demonstrate the application of cost-effectiveness analysis, Dr Chen presented a comparison of three different restoration measures, each with a different level of success and associated cost. In her example, the measures all aimed to achieve a 95% success rate for restoration, but each required a different number of attempts to reach this target.
She showed that while some measures (e.g. Measure 1) had high costs and low success rates, others (e.g. Measure 2) were more successful despite a higher per-square-meter cost. In this case, Measure 2 turned out to be the most cost-effective despite its higher initial cost because it required fewer attempts overall to reach the success target (see Table 3).