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Factors (soil organic matter, mineral fertilizer) and covariates (pollinator visitation rate, proportion of pods infected by Evergestis extimalis) affecting yield (total seed weight; a & d), average number of flowers (b & e) and above-ground biomass (c & f) of Brassica napus. Graphs are based on linear mixed models with field site (being a proxy for insect abundance) as the random factor. S0: low soil organic matter; S1: high soil organic matter; F0: low fertilizer; F1: high fertilizer. Only significant factors and covariates are used in the models. If significant covariates are not displayed, we used the average value in the model. Thin lines represent low fertilizer (F0 in legend) and thick lines represent high fertilizer (F1). If soil organic matter was significant, we separated the treatment effect. Solid lines represent low (S0) and dashed high (S1) soil organic matter.  

Factors (soil organic matter, mineral fertilizer) and covariates (pollinator visitation rate, proportion of pods infected by Evergestis extimalis) affecting yield (total seed weight; a & d), average number of flowers (b & e) and above-ground biomass (c & f) of Brassica napus. Graphs are based on linear mixed models with field site (being a proxy for insect abundance) as the random factor. S0: low soil organic matter; S1: high soil organic matter; F0: low fertilizer; F1: high fertilizer. Only significant factors and covariates are used in the models. If significant covariates are not displayed, we used the average value in the model. Thin lines represent low fertilizer (F0 in legend) and thick lines represent high fertilizer (F1). If soil organic matter was significant, we separated the treatment effect. Solid lines represent low (S0) and dashed high (S1) soil organic matter.  

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1.Above-ground and below-ground environmental conditions influence crop yield by pollination, pest pressure and resource supply. However, little is known about how interactions between these factors contribute to yield. Here, we used oilseed rape Brassica napus to test their effects on crop yield. 2.We exposed potted plants to all combinations of h...

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... pollinators. There was no significant interaction effect on yield between pollinator visitation rate and SOM content, or fertilization, suggesting that the effects of pollinators and fertilizers are additive and do not strengthen or weaken one another. Yield was negatively related to the proportion of pods infected by Evergestis extimalis larvae (Fig. 2d). This negative relationship was more pronounced with increasing pollinator visitation rate (Fig. 3a, Table 1). At field sites with the highest proportion of E. extimalis- infected pods, model-predicted yields were 153% lower than at sites with the lowest infestation rates. The relation- ship between yield and the proportion of infected ...
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... number of flowers was highest in the high SOM and fertilizer treatments, but there was no significant interac- tion between SOM and fertilizer (Fig. 1b, Table 1). The number of B. napus flowers showed an overall positive relationship with pollinator visitation rate (Fig. 2b, Table 1). However, this relationship was more pro- nounced for plants with high than with low fertilizer sup- ply, as indicated by the significant interaction between fertilizer and pollinator visitation rate on the number of flowers (Table 1). The number of flowers was significantly negatively related to the proportion of infected ...
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... (Fig. 2b, Table 1). However, this relationship was more pro- nounced for plants with high than with low fertilizer sup- ply, as indicated by the significant interaction between fertilizer and pollinator visitation rate on the number of flowers (Table 1). The number of flowers was significantly negatively related to the proportion of infected pods (Fig. 2e) and this relationship was stronger at field sites with higher pollinator visitation rates (Fig. 3b, Table ...
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... values represent a significant relationship (P < 0Á05). All analyses were performed using a linear mixed model with random intercept. Cases were included only when all data were available, resulting in 213 plants, across SOM content (Fig. 1c, Table 1). There was a negative relationship between above-ground biomass and pollina- tor visitation rate (Fig. 2c, Table 1). However, there was a positive relationship between above-ground biomass and the proportion of infected pods (Fig. 2f). The relationship between plant biomass and pollinator visitation rate was not affected by SOM or fertilizer, as there was no signifi- cant interaction between these two soil factors (Table ...
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... Cases were included only when all data were available, resulting in 213 plants, across SOM content (Fig. 1c, Table 1). There was a negative relationship between above-ground biomass and pollina- tor visitation rate (Fig. 2c, Table 1). However, there was a positive relationship between above-ground biomass and the proportion of infected pods (Fig. 2f). The relationship between plant biomass and pollinator visitation rate was not affected by SOM or fertilizer, as there was no signifi- cant interaction between these two soil factors (Table ...
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... are based on linear mixed models with field site (being a proxy for insect abundance) as the random factor. Line thickness from thick to thin represents the proportion of infected pods by Evergestis extimalis (0% infected, 25% infected, 50% infected, 75% infected). Treatments were visualized with the same symbols as explained in the legend of Fig. 2. from fertilizer supply and, although less prominent in our study, SOM management. Moreover, as pollination is known to also enhance oil content of oilseed rape seeds (Bommarco, Marini & Vaissiere 2012), the importance of considering pollination in combination with SOM and nutrient management might even be higher than appearing from our ...

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... Insect visitations are vulnerable to agricultural intensification, which reduces their biodiversity and abundance, consequently causing a substantial reduction in crop productivity and quality (Garibaldi et al. 2020). Studies indicated that yield benefits from common beans and other crops were affected by efficient interactions between soil nutrients and insect pollinations (Otieno et al. 2011;Bartomeus et al. 2014;van Gils et al. 2016) and other factors affecting crop yield such as micro-climate conditions, water, pest or disease status (Viana et al. 2022). ...
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Significance Food production depends on biodiversity and ecosystem services (ES) such as pest control and pollination. Our knowledge about biodiversity benefits to crop production has increased in recent decades, but most studies treat ES separately and then add up their values. Ignoring that these services, being part of the same system, likely interact is blinding us to potential synergies and trade-offs. Our field experiment shows, at realistic field scales, that pest control and pollination can interact positively. This synergy translates directly to improved yields and income for coffee farmers, who produce a global commodity worth $24 billion per year. Our findings highlight the need to study interactions to understand the linkages between biodiversity, ES, and farmers’ livelihoods.
... Depending on the conditions, the nature of such interactions may even differ in a single crop. The effects of pollination on oilseed rape, for example, can interact with nitrogen inputs positively (Garratt et al. 2018b), negatively (Marini et al. 2015) or not at all (van Gils et al. 2016). ...
... However, the relationship between SOM content and yield can also be neutral or unimodal (Bauer & Black 1994;van Gils et al. 2016;Oldfield et al. 2020). One possible explanation for the varying relationships might be that the effects of SOM on production can interact with the concomitant factors, including management interventions, such as fertilizer and irrigation (Gagic et al. 2017;Oldfield et al. 2020), as well as ecosystem services, such as pest control (Garratt et al. 2018b ...
... Furthermore, our study was done using a perennial crop species, which complicates comparisons with other studies that were mostly done on annual crops (Quiroga et al. 2006;Pan et al. 2009;van Gils et al. 2016;Oldfield et al. 2020). Perennial species may be less responsive to short-term local conditions than annual species because they often have access to larger resources stored in roots and stems from previous seasons or may use resources for survival or vegetative growth rather than seed or fruit set (Ehrlén & Van Groenendael 2001;Langley et al. 2002). ...
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... Since we calculated yields from the seed weight per plant (which did not respond to bee densities) multiplied by the plant density, diverging plant densities are likely to be responsible for patterns like declining yield with increasing bee densities. Other confounding factors, like pests or different varieties, which we did not account for, could be a further explanation (Grass et al., 2018;van Gils et al., 2016;Hudewenz et al., 2014). We cannot preclude possible variety effects on the plants` responses to insect pollination. ...
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... Under rainy conditions or in soils rich in micro-nutrients and with good water holding capacity, the contribution of SOM to crop growth would be much less pronounced than in soils poor in micro-nutrients and with poor water holding capacity. Furthermore, our study was done using a perennial crop species, which complicates comparisons with other studies that were mostly done on annual crops (Quiroga et al., 2006;Pan et al., 2009;van Gils et al., 2016;Oldfield et al., 2020). Perennial species may be less responsive to short-term local conditions than annual species because they often have access to larger resources stored in roots and stems from previous seasons or may use resources for survival or vegetative growth rather than seed or fruit set (Ehrlén and Van Groenendael, 2001;Langley et al., 2002). ...
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