Optimization Modeling
A major goal of the SCB MBON is to compare the effectiveness of different methods of biodiversity sampling, exploring how the optimal mix of sampling depends on the goals of monitoring and the resources available.
To maximize effectiveness, SCB MBON will be targeted sampling to address key data gaps, while making best use of existing sampling efforts, thereby gaining a complete description of biodiversity while minimizing cost. Optimal decisions about data collection require the construction of a framework for balancing costs and benefits of alternative sampling.
We also look to consider how the optimal mix will change as technology improves (e.g., lower cost and better accuracy of genetic and computational methods). Much of this work will be based on assimilated biodiversity data derived from a range of sampling methods.
From: Lany et al, in prep. A reproducible workflow for synthesizing disparate LTER data