Landscape composition and pollinator traits interact to influence pollination success in an individual‐based model

Landscape composition and pollinator traits interact to influence pollination success in an individual‐based model
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在基于个体的模型中,景观组成和传粉者特征相互作用,影响授粉成功

DOI:
10.1111/1365-2435.14353
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发表时间:
2023
期刊:
影响因子:
5.2
通讯作者:
Strona, Giovanni
Strona, Giovanni
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Kortsch, Susanne;Saravia, Leonardo;Cirtwill, Alyssa R.;Timberlake, Thomas;Memmott, Jane;Kendall, Liam;Roslin, Tomas;Strona, Giovanni

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植物物种在景观中的排列通过传粉者运动轨迹和植物-传粉者相遇率的变化来影响传粉。然而,景观组成和传粉者特征(特别是专业化)对授粉成功的综合影响仍然很难量化经验。我们使用基于个体的模型来探索景观和传粉者专业化(程度)如何相互作用来影响授粉。我们通过产生植物物种混合的梯度来模拟景观中的变化-从没有混合到完全混合。此外,我们通过模拟不同连通性的植物传粉者(六至八种)网络的传粉者专业化的水平。然后,我们比较了这些驱动因素对授粉的三个代理的影响:访问率,连续访问的焦点植物物种和预期的植物授粉的数量。我们发现,植物的空间布局和传粉者的程度相互作用,以确定授粉成功,这些驱动因素对授粉的影响取决于如何授粉估计。对于大多数传粉者,访问率增加更多的植物混合景观。与两个更实用的授粉指标相比,访问率高估了授粉服务。这是特别严重的景观与高植物混合和通才传粉者。有趣的是,访问率的影响较小的传粉者性状(传粉程度和身体大小)比两个功能指标,可能是因为“访问率”忽略了传粉者访问植物的顺序。然而,访问顺序是至关重要的预期数量的植物授粉,因为只有以前的访问同种个体可以有助于授粉。我们在这里表明,这种顺序强烈依赖于植物的空间布局,传粉者的特征和它们之间的相互作用。两者合计,我们的研究结果表明,访问率,最常用的代理授粉网络研究,应补充更多的功能指标,反映频率与个别传粉者重新访问同一植物物种。我们的研究结果还表明,景观结构的措施,如植物混合和密度-结合授粉者的专业水平-可以提高授粉概率的估计。
The arrangement of plant species within a landscape influences pollination via changes in pollinator movement trajectories and plant–pollinator encounter rates. Yet the combined effects of landscape composition and pollinator traits (especially specialisation) on pollination success remain hard to quantify empirically.We used an individual‐based model to explore how landscape and pollinator specialisation (degree) interact to influence pollination. We modelled variation in the landscape by generating gradients of plant species intermixing—from no mixing to complete intermixing. Furthermore, we varied the level of pollinator specialisation by simulating plant–pollinator (six to eight species) networks of different connectance. We then compared the impacts of these drivers on three proxies for pollination: visitation rate, number of consecutive visits to the focal plant species and expected number of plants pollinated.We found that the spatial arrangements of plants and pollinator degree interact to determine pollination success, and that the influence of these drivers on pollination depends on how pollination is estimated. For most pollinators, visitation rate increases in more plant mixed landscapes. Compared to the two more functional measures of pollination, visitation rate overestimates pollination service. This is particularly severe in landscapes with high plant intermixing and for generalist pollinators. Interestingly, visitation rate is less influenced by pollinator traits (pollinator degree and body size) than are the two functional metrics, likely because ‘visitation rate’ ignores the order in which pollinators visit plants. However, the visitation sequence order is crucial for the expected number of plants pollinated, since only prior visits to conspecific individuals can contribute to pollination. We show here that this order strongly depends on the spatial arrangements of plants, on pollinator traits and on the interaction between them.Taken together, our findings suggest that visitation rate, the most commonly used proxy for pollination in network studies, should be complemented with more functional metrics which reflect the frequency with which individual pollinators revisit the same plant species. Our findings also suggest that measures of landscape structure such as plant intermixing and density—in combination with pollinators' level of specialism—can improve estimates of the probability of pollination.Read the free Plain Language Summary for this article on the Journal blog.
DOI: 10.3732/ajb.1200496
发表时间: 2013-06-01
影响因子: 3
作者:
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DOI: 10.20944/preprints202202.0018.v1
发表时间: 2022
期刊: Diversity
影响因子: --
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发表时间: 2019
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影响因子: 2.1
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