Optimal strategies for sampling functional traits in species-rich forests

Citation

Paine CET, Baraloto C & Diaz S (2015) Optimal strategies for sampling functional traits in species-rich forests. Functional Ecology, 29 (10), pp. 1325-1331. https://doi.org/10.1111/1365-2435.12433

Abstract
1. Functional traits provide insight into a variety of ecological questions, yet the optimal sampling method to estimate the community-level distribution of plant functional trait values remains a subject of debate, especially in species-rich forests. 2. We present a simulation analysis of the trait distribution of a set of nine completely sampled permanent plots in the lowland rain forests of French Guiana. 3. Increased sampling intensity consistently improved accuracy in estimating community-weighted means and variances of functional trait values, whereas there was substantial variation among functional traits and minor differences among sampling strategies. 4. Thus, investment in intensified sampling yields a greater improvement in the accuracy of estimation than does an equivalent investment in sampling design complication. 5. Notably, ‘taxon-free' strategies frequently had greater accuracy than did abundance-based strategies, which had the additional cost of requiring botanical surveys. 6. We conclude that there is no substitute for extensive field sampling to accurately characterize the distribution of functional trait values in species-rich forests.

Keywords
French Guiana; functional traits; plant traits; specific leaf area; wood density; sampling design; tropical forest

Journal
Functional Ecology: Volume 29, Issue 10

• Paine et al. Sampling Strategies 2 2015 01 09.pdf