Density-dependent dispersal strategy of pollinator moderates the adverse effect of habitat loss on plant reproduction

1. Major challenges for plant conservation are predicting the effect of habitat loss on pollination success and plant reproduction potential. Most studies report that pollinator movement is affected by quantitative and spatial characteristics of landscapes. However, little is known about the role of pollinator movement, impacted by floral volatiles and intraspecies interaction, on plant reproduction in fragmented landscapes.
2. To clarify the effect of pollinator movement on plant reproduction relative to habitat loss, we developed an integrated model incorporating pollinator's foraging response with its dispersal process mediated by a density-dependent dispersal (DDD) strategy. This model performed better in capturing behaviorals response of pollinators than do current methods. The integrated model was verified with field results of pollinator visitation and plant reproduction of saltcedar (Tamarix chinensis) inhabiting the Yellow River Delta, and then was compared against a dispersal ..., , Our data are saved as '.xlsx' file (which can be opened by Microsoft Excel program) and '.npy' files (which can be opened by NumPy package in Python program). 
These data are multidimensional arrays, whose shapes respresent the different simulation scenarios, including six floral volatiles, six non-habitat percentages (NHPs), and six detection threshold of pollinators (Thpo). The shape of multidimensional arrays in each '.npy' file are described as follows,  as well as the scenarios it represented.Â

1. 植物保护面临的核心挑战之一，是预测生境丧失对传粉成功（pollination success）与植物繁殖潜力（plant reproduction potential）的影响。现有多数研究表明，传粉者移动（pollinator movement）会受到景观的定量与空间特征的调控。然而，目前对于受花香挥发物（floral volatiles）与种内相互作用（intraspecies interaction）影响的传粉者移动，在破碎化景观（fragmented landscapes）中对植物繁殖的作用仍知之甚少。
2. 为阐明生境丧失背景下传粉者移动对植物繁殖的调控效应，我们构建了一款整合模型（integrated model），将传粉者的觅食响应（foraging response）与基于密度依赖扩散（density-dependent dispersal, DDD）策略介导的扩散过程（dispersal process）相结合。相较于现有方法，该整合模型可更精准地捕捉传粉者的行为响应。我们以栖息于黄河三角洲（Yellow River Delta）的柽柳（Tamarix chinensis）的传粉者访花与植物繁殖野外实测结果对该模型进行验证，随后将其与一款扩散模型（原文此处内容未完整呈现）进行对比。
我们的数据集以两种格式存储：可通过Microsoft Excel程序打开的.xlsx格式文件，以及可通过Python的NumPy包读取的.npy格式文件。
这些数据均为多维数组（multidimensional arrays），其维度形状对应不同的模拟情景，涵盖6种花香挥发物梯度、6个非生境占比（non-habitat percentages, NHPs）梯度，以及6个传粉者检测阈值（detection threshold of pollinators, Thpo）梯度。各.npy格式文件中的多维数组形状及其代表的模拟情景具体说明如下。