Defining optimal sampling effort for large-scale monitoring of invasive alien plants: a Bayesian method for estimating abundance and distribution
Article first published online: 7 MAR 2011
© 2011 The Authors. Journal of Applied Ecology © 2011 British Ecological Society
Journal of Applied Ecology
Volume 48, Issue 3, pages 768–776, June 2011
How to Cite
Hui, C., Foxcroft, L. C., Richardson, D. M. and MacFadyen, S. (2011), Defining optimal sampling effort for large-scale monitoring of invasive alien plants: a Bayesian method for estimating abundance and distribution. Journal of Applied Ecology, 48: 768–776. doi: 10.1111/j.1365-2664.2011.01974.x
- Issue published online: 13 MAY 2011
- Article first published online: 7 MAR 2011
- Received 22 September 2010; accepted 4 January 2011 Handling Editor: Jennifer Firn
Appendix S1. Assessing the accuracy of model prediction under different sampling efforts and schemes, using artificially derived species.
Figure S1. An illustration of the Bayesian solution to the pseudo-absence dilemma (Eqn. 2; M = 100; x = 0).
Figure S2. The spatial structure of the number of invasive plants in Kruger National Park, as predicted from the Bayesian model. The order of species of the abundance maps is according to Table 1.
Figure S3. The relationship between sampling effort and the accuracy in abundance estimation.
Figure S4. The relationship between sampling effort and the accuracy in Moran’s I index.
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