Bayesian reconstitution of environmental change from disparate historical records: hedgerow loss and farmland bird declines
Article first published online: 28 JUL 2010
© 2010 The Authors. Methods in Ecology and Evolution © 2010 British Ecological Society
Methods in Ecology and Evolution
Volume 2, Issue 1, pages 86–94, January 2011
How to Cite
Cornulier, T., Robinson, R. A., Elston, D., Lambin, X., Sutherland, W. J. and Benton, T. G. (2011), Bayesian reconstitution of environmental change from disparate historical records: hedgerow loss and farmland bird declines. Methods in Ecology and Evolution, 2: 86–94. doi: 10.1111/j.2041-210X.2010.00054.x
- Issue published online: 3 FEB 2011
- Article first published online: 28 JUL 2010
- Received 18 January 2010; accepted 29 June 2010 Handling Editor: David Murrell
- bayesian state-space models;
- habitat loss;
- land-use change;
- time series;
1. Understanding the mechanisms by which environmental change has impacted natural processes typically requires good time series for the environmental change. Unfortunately, other than for climate, detailed time series of historical environments are scarce. In many instances, researchers can only collate disparate and sometimes fragmented information from the literature or from historical or pre-historical sources.
2. Here, we apply modern statistical methods to reconstruct a recent historical time series of environmental change from sparse data collected from heterogeneous sources. Specifically, we deal with record irregularity and the varying levels of uncertainty associated with each datum using state-space models in a hierarchical Bayesian framework.
3. As an example, we reconstruct a time series of a simple landscape feature (hedgerow length) over a large spatial scale (Britain) over a long-time period (50 years), by combining both stock estimates and rate of change estimates, gathered from different historical sources.
4. We illustrate the utility of the method by relating the population trends of a hedgerow-nesting passerine bird, the yellowhammer Emberiza citrinella to the reconstructed trends in hedgerow length. Population density was closely related to hedgerow availability, suggesting a potential key role for nesting habitat loss in the yellowhammer decline.
5. The modelling framework we used is flexible and general. The method can be adapted to reconstruct time series of any environmental variables from a variety of sparse and heterogeneous historical sources.