Abstract
Biodiversity monitoring surveys are rarely optimised statistically before being initiated. Here, we optimised the monitoring of plants in a temperate forest. The total inventory cost, the number and size of quadrats were optimised to detect a 10% change in species richness over 5 years with α = β = 0.05, using data from ongoing long-term floristic monitoring programs. The procedure showed that the inventory cost would be ca 15% lower using 100-, 200-m2 quadrats instead of 300- or 400-m2 quadrats. Despite the cost associated with the optimisation (e.g. gathering preliminary data) and the imprecise estimates (due to the typically small sample size of the pilot studies), optimisation would often be a better option than expert opinion when designing a monitoring survey.
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Archaux, F., Bergès, L. Optimising vegetation monitoring. A case study in A French lowland forest. Environ Monit Assess 141, 19–25 (2008). https://doi.org/10.1007/s10661-007-9874-0
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DOI: https://doi.org/10.1007/s10661-007-9874-0