Results of the generalized linear mixed model (GLMM) using a Tweedie distribution (log link). The response variable is the vulnerability to pollinator decline. Estimates (β), standard errors, z-values, and p-values and 95% confidence intervals (CI, low – high) are shown. Significance levels were assessed at P < 0.05.

<p>Results of the generalized linear mixed model (GLMM) using a Tweedie distribution (log link). The response variable is the vulnerability to pollinator decline. Estimates (β), standard errors, z-values, and p-values and 95% confidence intervals (CI, low – high) are shown. Significance levels...

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Bibliographic Details
Main Author:	Willams Oliveira (21442562) (author)
Other Authors:	Rafaella Guimarães Porto (22683497) (author), Oswaldo Cruz-Neto (6751688) (author), Marcelo Tabarelli (242310) (author), Blandina Felipe Viana (22683500) (author), Carlos A. Peres (8561766) (author), Ariadna Valentina Lopes (22683503) (author)
Published:	2025
Subjects:	Neuroscience Ecology Cancer Science Policy Computational Biology Environmental Sciences not elsewhere classified enhancing ecological processes alter ecological processes total economic valuation least partly vulnerable human development index ecosystem service provision soybean alone representing results also show heavier human footprint dependent </ p human footprint vulnerable regions human well ecosystem services regional disparities promoting diversified positively correlated phytogeographic domains mainly driven leading crops key indicators income smallholders income farmers including soybean habitat loss global scale food production farmer income excluding soybean economic value consistently reduced commodity production cocoa accounted atlantic forest agricultural production agricultural expansion agricultural crops
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