Despite the relevant services associated with insect pollinators, several species are considered to have undergone severe and widespread declines, which raise concerns about the future sustainability of ecosystems. Reliable estimates of pollinators' visitation rates to flowers are thus fundamental for supporting management and mitigation actions. A spatially explicit agent-based model was developed to investigate how plant species richness and pollinators' specialisation degree, within a gradient of pollinators abundance and landscape types, might influence accuracy of estimates of visitation rates. Visitation of plants by a generalist-specialist continuum within variable conditions was simulated with the purpose of reproducing pollination studies. Our results indicate that the accuracy of estimates of pollinators' visitation rates is influenced by the interplay between pollinators' specialisation, pollinators' abundances and type of landscape. We highlight the importance of fieldwork investigation to complement our results and compute adjustments in sampling effort for comparable estimates of pollinators' visitation rates from different landscapes and pollinator communities.

尽管与昆虫传粉者有关的服务，但仍认为若干物种已严重且广泛地减少，这引起了人们对生态系统未来可持续性的担忧。因此，可靠地估计授粉媒介对花的访问量对于支持管理和缓解行动至关重要。建立了基于空间显式媒介物的模型，以研究授粉媒介丰度和景观类型梯度内植物物种的丰富度和授粉媒介的专业化程度如何影响访问率估算的准确性。为了重现授粉研究，模拟了在可变条件下通才-专家连续体对植物的访问。我们的结果表明，传粉媒介估计的准确性 授粉者的专长，授粉者的丰富程度和景观类型之间的相互作用会影响访问量。我们强调实地调查的重要性，以补充我们的结果并计算抽样工作中的调整，以便对来自不同地貌和授粉媒介社区的授粉媒介访视率进行可比估计。