Making statistics biologically relevant in fragmented landscapes.
The biological impacts of habitat fragmentation are routinely assessed using standard statistical modelling techniques that are used across many ecological disciplines. However, to assess the biological relevance of fragmentation impacts, we must consider an extra, spatial dimension to the standard statistical model: the biological importance of a significant and well supported model with large effect sizes crucially depends on the configuration of habitat within the study area. We argue that mapping the outputs from statistical models across a study area generates biologically meaningful estimates of fragmentation impacts. Integrating traditional statistical approaches with geographic information systems will facilitate rigorous comparisons of fragmentation impacts between taxa, studies and ecosystems.
Imperial College London, Ascot SL5 7PY, UK. r.ewers@imperial.ac.uk
Robert M
RM
Ewers
Charles J
CJ
Marsh
Oliver R
OR
Wearn
D000818:Animals; D001717:Birds; D017753:Ecosystem; D004777:Environment; D004784:Environmental Monitoring; D040362:Geographic Information Systems; D007313:Insecta; D051379:Mice; D008954:Models, Biological; D011157:Population Dynamics; D013045:Species Specificity; D013223:Statistics as Topic / Q000379:methods*