The surprising answer is 'probably yes'.

We identified the Saproxylic Quality Index (SQI) as the best available measure of quality, as it was felt that a site's saproxylic (wood decay) beetle fauna would be a good surrogate of wider wood decay habitat quality, which is one of the most important elements of wood pasture and parkland. We combined available SQI scores with the wood-pasture and parkland inventory we had previously created for Natural England to create a sample dataset of 98 sites. We then analysed the sample data against other available data, including tree records from the Ancient Tree Hunt, geography, climate, designations and habitat networks using PostGIS and multiple regression analysis in the statistical package R. The models produced were refined to identify the model best able to predict wood-pasture and parkland quality.

Eleven site attributes were included in the final model for predicting SQI score. Sites in the south east and lowland sites tended to have higher scores, suggesting that warmer and less exposed sites were better for saproxylic beetles. Unsurprisingly sites with higher numbers and densities of veteran or ancient trees also tended to have higher scores, owing to the increased volume of wood decay habitat present.Sites that were in a landscape with other wood-pasture and parkland were also found to have higher SQI scores.

The best model proved to be remarkably good at predicting the SQI score of the sample. It suggested that sites with a predicted score of 600 or more were likely to have an actual score of at least 400 - itself quite a high score. This suggests that if the model were applied to the wider wood-pasture and parkland inventory it could be used to predict SQI scores and identify sites that could be targeted for survey.

However, this was a proof of concept study, so the model needs more work before we can conclusively state that wood-pasture and parkland quality can be predicted. This includes further refinements to identify attributes that help predict quality. It then needs to be tested to determine how well it predicts SQI scores for sites that were not part of the sample. We hope to be able to continue this work, as we believe the improved model could be very valuable for targeting entomological survey effort.

Further information from Crispin Flower.

Because of the biodiversity importance of OMH the habitat was identified as a Biodiversity Action Plan habitat in 2007. However, such sites are threatened by redevelopment (due to their usual status as brownfield sites), inappropriate ‘restoration’, inappropriate management or natural succession. There is very little knowledge of the distribution of OMH, as there is no data that identifies OMH sites at a national level.

exeGesIS were awarded this project in 2011, which has increased understanding of OMH in England and Wales by identifying the key features that are found within such habitats and enhancing knowledge of the distribution of such sites. This involved the development of a new survey methodology and a survey of 98 survey sites to identify OMH habitat, as well as a survey of invertebrates on 50 of the sites - the largest single survey of its kind in the UK. These surveys provided invaluable information on the importance of OMH sites to conservation and the recognition of important sites remotely and in the field.

The results of this work were:

• A handbook for the identification and survey of OMH sites.
• A provisional national inventory of OMH sites in England and Wales, along with an inventory data capture rule base.
• An integrated OMH survey website, including a map of OMH sites and survey data entry forms.
• Field survey data supplied to the NBN Gateway.

Further information from Crispin Flower.