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Fig 1.

Distribution of reanalyzed crop field data.

(The geographic boundaries data used in this study were obtained from R software Open-Source Data shapefiles found in the ‘arsenal’ package).

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Fig 1 Expand

Table 1.

Linear models of landscape simplicity, pollination services, and predator activity on crop yields.

The dependent variable in each model is shown in square brackets following the model name.

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Table 1 Expand

Fig 2.

Model 2b predicted values of crop yields at given landscape simplicity in different soil texture classes.

Note: SCL = Sandy-Clay-Loam, C = Clay, SL = Sandy-Loam, L = Loam, S = Sand, LS = Loamy-Sand. Solid lines represent the mean effect, and the colored bands represent a 90% confidence interval.

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Fig 2 Expand

Table 2.

Estimated effects of landscape simplicity, ecosystem services, climate, and soil variables on crop yields.

The dependent variable in each model is shown in square brackets following the model name.

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Table 2 Expand

Fig 3.

Model 2f predicted values of natural pest control at given landscape simplicity under different management practices.

Note: Solid lines represent the mean effect, and the colored bands represent a 90% confidence interval.

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Fig 3 Expand