Yael Mandelik and colleagues published a paper recently estimating the cost-efficiency of different indicator taxa for predicting patterns of biodiversity in Mediterranean ecosystems (Journal of Applied Ecology doi: 10.1111/j.1365-2664.2010.01864.x). Their primary data came from a large survey in Israel that included plants, ground dwelling beetles, moths, spiders and small mammals. (wait a second - no birds?!! what gives ...) They did a really nice job of explaining their methods, and one figure in particular is really useful - a "cost frontier" that plots the ecological efficiency of an indicator or set of indicators vs the cost of sampling that indicator. A cost frontier is a line joining all of the points with highest ecological efficiency for a given cost. Combinations of indicators that are below the frontier are inefficient in that they are not generating adequate ecological efficiency for their cost.

In our study, plants were the cheapest cost-efficient indicator for richness and composition patterns. However, the marginal costs of representing the additional c. 30%of diversity variation are high, requiring c. 9 times the initial budget. Thus, the accuracy needed is a main factor in determining the budget requirements of biodiversity surveys. [emphasis added]This is the key point - how accurate the prediction has to be depends on the decision being made and the objectives of the decision makers. It might be perfectly adequate to have an R^2 of 0.7 for species composition predictions. This is why it is essential to ask who is making the decisions, and what decisions is a given scientific analysis supposed to support?
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