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An energetics-based honeybee nectar-foraging model used to assess the potential for landscape-level pesticide exposure dilution

机译:一种基于能量学的蜜蜂花蜜觅食模型用于评估景观水平农药暴露稀释的潜力

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摘要

Estimating the exposure of honeybees to pesticides on a landscape scale requires models of their spatial foraging behaviour. For this purpose, we developed a mechanistic, energetics-based model for a single day of nectar foraging in complex landscape mosaics. Net energetic efficiency determined resource patch choice. In one version of the model a single optimal patch was selected each hour. In another version, recruitment of foragers was simulated and several patches could be exploited simultaneously. Resource availability changed during the day due to depletion and/or intrinsic properties of the resource (anthesis). The model accounted for the impact of patch distance and size, resource depletion and replenishment, competition with other nectar foragers, and seasonal and diurnal patterns in availability of nectar-providing crops and wild flowers. From the model we derived simple rules for resource patch selection, e.g., for landscapes with mass-flowering crops only, net energetic efficiency would be proportional to the ratio of the energetic content of the nectar divided by distance to the hive. We also determined maximum distances at which resources like oilseed rape and clover were still energetically attractive. We used the model to assess the potential for pesticide exposure dilution in landscapes of different composition and complexity. Dilution means a lower concentration in nectar arriving at the hive compared to the concentration in nectar at a treated field and can result from foraging effort being diverted away from treated fields. Applying the model for all possible hive locations over a large area, distributions of dilution factors were obtained that were characterised by their 90-percentile value. For an area for which detailed spatial data on crops and off-field semi-natural habitats were available, we tested three landscape management scenarios that were expected to lead to exposure dilution: providing alternative resources than the target crop (oilseed rape) in the form of (i) other untreated crop fields, (ii) flower strips of different widths at field edges (off-crop in-field resources), and (iii) resources on off-field (semi-natural) habitats. For both model versions, significant dilution occurred only when alternative resource patches were equal or more attractive than oilseed rape, nearby and numerous and only in case of flower strips and off-field habitats. On an area-base, flower strips were more than one order of magnitude more effective than off-field habitats, the main reason being that flower strips had an optimal location. The two model versions differed in the predicted number of resource patches exploited over the day, but mainly in landscapes with numerous small resource patches. In landscapes consisting of few large resource patches (crop fields) both versions predicted the use of a small number of patches.
机译:在景观尺度上估计蜜蜂对农药的暴露需要模型其空间觅食行为。为此,我们为复杂的景观马赛克中的一天的花蜜觅食开发了一种基于机械学,基于能量学的模型。净能量效率决定了资源补丁的选择。在模型的一个版本中,每小时选择一个最佳补丁。在另一个版本中,模拟了觅食者的招募,可以同时利用多个补丁。由于资源(花粉)的枯竭和/或固有属性,一天中的资源可用性发生了变化。该模型考虑了斑块距离和大小,资源枯竭和补给,与其他花蜜觅食者的竞争以及提供花蜜的农作物和野花的季节性和昼夜模式的影响。从该模型中,我们得出了用于资源块选择的简单规则,例如,对于仅具有大量开花作物的景观,净能量效率将与花蜜的能量含量之比除以与蜂巢的距离成正比。我们还确定了油菜和三叶草等资源仍然具有吸引力的最大距离。我们使用该模型评估了不同组成和复杂性景观中农药暴露稀释的潜力。稀释是指与处理过的田地相比,到达蜂巢的花蜜中的浓度较低,这可能是由于从处理过的田地转移了觅食力而导致的。将模型应用于大面积上所有可能的蜂巢位置,可以得到稀释因子的分布,这些分布的特征在于其90%的值。对于可获得作物和田间半自然栖息地详细空间数据的地区,我们测试了三种景观管理方案,这些方案有望导致暴露量稀释:以比目标作物(油菜)形式提供替代资源(i)其他未经处理的农作物田地;(ii)田间边缘处不同宽度的花带(非田间田间资源),以及(iii)田间(半自然)栖息地的资源。对于这两个模型版本,仅当替代资源补丁与油菜强奸相等或更具吸引力时,附近和周围才出现显着稀释,并且仅在花条和野外栖息地的情况下才发生。在一个区域基础上,花条比野外栖息地更有效一个数量级,主要原因是花条具有最佳的位置。两种模型版本在一天中利用的资源补丁的预测数量上有所不同,但主要是在具有大量小资源补丁的环境中。在由少量大型资源补丁(作物字段)组成的环境中,两个版本都预测使用少量补丁。

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