Reliably predicting pollinator abundance: challenges of calibrating process-based ecological models

Emma Gardner, Tom Breeze, Yann Clough, Henrik Smith, Katherine Baldock, Alistair Campbell, Michael Garratt, Mark Gillespie, William Kunin, Megan McKerchar, Jane Memmott, Simon Potts, Deepa Senapathi, Graham Stone, Felix Wäckers, Duncan Westbury, Andrew Wilby & Thomas Oliver
1. Pollination is a key ecosystem service for global agriculture but evidence of pollinator population declines is growing. Reliable spatial modelling of pollinator abundance is essential if we are to identify areas at risk of pollination service deficit and effectively target resources to support pollinator populations. Many models exist which predict pollinator abundance but few have been calibrated against observational data from multiple habitats to ensure their predictions are accurate. 2. We selected the most...
2 citations reported since publication in 2020.
108 views reported since publication in 2020.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?
26 downloads reported since publication in 2020.

These counts follow the COUNTER Code of Practice, meaning that Internet robots and repeats within a certain time frame are excluded.
What does this mean?