Recommendations to enhance breeding bird diversity in managed plantation forests determined using LiDAR

Tree planting can contribute to the fight against both climate change and biodiversity loss if forests are planned and managed well. Forest structure data, collected using remote sensing technology, combined with bird surveys has been used to test which management regimes maximise bird diversity in managed plantations. Forests with stands of a greater variety of ages are consistently more biodiverse, suggesting that forest managers should prioritise maintaining a diversity of stand ages.

Estimating the carbon footprint of citizen science biodiversity monitoring

Understanding the impacts of climate change relies on an evidence base generated by the thousands of volunteers who participate in biodiversity monitoring. However, survey participation often carries its own carbon footprint, especially where participants travel to and from survey sites by car. Whilst it is essential that we have accurate information about how wildlife is faring in this changing world, we also need to be mindful of any side effects of our scientific activities. A key step is to estimate the emissions produced during biodiversity monitoring. 

A review of the BTO/RSPB/JNCC Wetland Bird Survey (WeBS) Low Tide Counts scheme with recommendations for its future operation.

This report presents a review of the Wetland Bird Survey (WeBS) Low Tide Counts scheme and its methods.

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Impact of woodland agri-environment management on woodland structure and target bird species

Funding incentives have been used in agriculture and forestry to deliver policy objectives, including the support of biodiversity conservation. Understanding the effectiveness of such approaches requires the collection of baseline monitoring data, both from participating sites and those not in the scheme.

An introduction to model-based data integration for biodiversity assessments

Almost everywhere nature is under pressure. Thus, the need to monitor the state of nature and identify the many pressures affecting biodiversity has never been greater. However, the current range of biodiversity monitoring activities is varied and complex, ranging from collecting environmental DNA (eDNA) samples to structured monitoring schemes and opportunistic recording. Model-based data integration is a statistical tool to combine these different sources of data to produce robust biodiversity assessments based on more of the available evidence.

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