Data from: Evaluating predictive performance of statistical models explaining wild bee abundance in a mass-flowering crop

Maria Blasi Romero, Ignasi Bartomeus, Riccardo Bommarco, Vesna Gagic, Michael Garratt, Andrea Holzschuh, David Kleijn, Sandra A.M. Lindström, Peter Olsson, Chiara Polce, Simon G. Potts, , Jeroen Scheper, Henrik G. Smith, Ingolf Steffan-Dewenter & Yann Clough
Wild bee populations are threatened by current agricultural practices in many parts of the world, which may put pollination services and crop yields at risk. Loss of pollination services can potentially be predicted by models that link bee abundances with landscape-scale land-use, but there is little knowledge on the degree to which these statistical models are transferable across time and space. This study assesses the transferability of models for wild bee abundance in a mass-flowering...
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11 downloads reported since publication in 2021.

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?