2020
DOI: 10.1016/j.ecoinf.2020.101077
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How accurate are estimates of flower visitation rates by pollinators? Lessons from a spatially explicit agent-based model

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Cited by 3 publications
(1 citation statement)
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“…To test the effect of landscape and pollinator specialisation on pollinator visitation rates and pollination probability, we generated random landscapes with varying levels of plant intermixing using a landscape diversity model (Santos et al, 2020; Wirth et al, 2016). The level of plant intermixing is controlled by a variable called ‘seed percentage’ (Figure 1).…”
Section: Methodsmentioning
confidence: 99%
“…To test the effect of landscape and pollinator specialisation on pollinator visitation rates and pollination probability, we generated random landscapes with varying levels of plant intermixing using a landscape diversity model (Santos et al, 2020; Wirth et al, 2016). The level of plant intermixing is controlled by a variable called ‘seed percentage’ (Figure 1).…”
Section: Methodsmentioning
confidence: 99%