TY - JOUR
T1 - Design and analysis of experiments testing for biodiversity effects in ecology
AU - Bailey, R. A.
AU - Reiss, Julia
N1 - The experiments reported here were supported by a grant (reference NE/D013305/1) from the Natural Environment Research Council, UK.
This paper was written while the first author was at the Isaac Newton Institute, Cambridge, UK, during the 2011 programme Design and Analysis of Experiments, supported by the Engineering and Physical Sciences Research Council, UK.
PY - 2014/1
Y1 - 2014/1
N2 - It is now widely believed that biological diversity is good for the natural environment. One way that ecologists test this is to place random collections of species in mini-environments and then measure some outcome. Statisticians have been working with fresh-water ecologists to improve this in two ways. The first is that the subsets of species are carefully chosen, not random. The second is that a nested family of plausible models is fitted. The results of three experiments suggest that biodiversity can have no effect at all, but that there are other plausible underlying mechanisms.Implications for the design of such experiments, the understanding of the family of models, and the analysis of the data are discussed.
AB - It is now widely believed that biological diversity is good for the natural environment. One way that ecologists test this is to place random collections of species in mini-environments and then measure some outcome. Statisticians have been working with fresh-water ecologists to improve this in two ways. The first is that the subsets of species are carefully chosen, not random. The second is that a nested family of plausible models is fitted. The results of three experiments suggest that biodiversity can have no effect at all, but that there are other plausible underlying mechanisms.Implications for the design of such experiments, the understanding of the family of models, and the analysis of the data are discussed.
KW - Biodiversity
KW - Design of experiments
KW - Family of models
KW - Hasse diagram
U2 - 10.1016/j.jspi.2012.09.008
DO - 10.1016/j.jspi.2012.09.008
M3 - Article
SN - 0378-3758
VL - 144
SP - 69
EP - 80
JO - Journal of Statistical Planning and Inference
JF - Journal of Statistical Planning and Inference
T2 - 3rd International Conference on Design of Experiments, <br/>Memphis, Tennessee,
Y2 - 10 May 2011 through 13 May 2011
ER -