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
影响因子:
5.2
通讯作者:
Strona, Giovanni
中科院分区:
文献类型:
--
作者:
Kortsch, Susanne;Saravia, Leonardo;Cirtwill, Alyssa R.;Timberlake, Thomas;Memmott, Jane;Kendall, Liam;Roslin, Tomas;Strona, Giovanni
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.
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影响因子:
3
作者:
Ashman, Tia-Lynn;Arceo-Gomez, Gerardo
通讯作者:
Arceo-Gomez, Gerardo
影响因子:
3.4
作者:
Dupont, Yoko L.;Trojelsgaard, Kristian;Kissling, W. Daniel
通讯作者:
Kissling, W. Daniel
影响因子:
4.6
作者:
Arceo-Gomez, Gerardo;Schroeder, Amelia;Parra-Tabla, Victor
通讯作者:
Parra-Tabla, Victor
DOI:
10.20944/preprints202202.0018.v1
发表时间:
2022
期刊:
Diversity
影响因子:
--
作者:
Abigail Lowe;Laura Jones;L. Witter;S. Creer;Natasha de Vere
通讯作者:
Natasha de Vere
影响因子:
2.1
作者:
A. Schmidt‐Lebuhn;Matthias Müller;Paola Pozo Inofuentes;Francisco Encinas Viso;M. Kessler
通讯作者:
M. Kessler