DOI: 10.6084/m9.figshare.25146026.v1
title: Data associated with manuscript

description: Data associated with main analysis and figures presented in manuscript titled: "Motivating organic farmers to adopt practices that support the pest-suppressive microbiome relies on understanding their beliefs." Dataset titled "ShapefileForFigure1.zip" contains 5 files in .cpg, .dbf, .prj, .shp, and .shx format. When opened in GIS software the "submission" column contains counts used for color scheme and legend shown in Figure 1. Locations for sites cannot be released due to privacy concerns for participants. Dataset titled "DataforTable1.csv" contains columns associated with summaries shown in Table 1. Column definitions include: Participant.ID - A unique identifier for each participant in the study; c1 - Farmer age; c2 - First generation farmer; c3 - Farmer educational attainment; c4 - Farmer agricultural education; c7 - Farm main income source; c8 - Farm acres (certified + non-certified); c9 - Certified acres in production (current year); c10 - Time in organic; c13 - Organic status (next five years); c14 - Farm status (next 10 years). There are no data associated with Table 2. Dataset titled "DataforFigure2.csv" contains columns associated with principal component analysis and affinity propagation used to create Figure 2. Column definitions include: Participant.ID - As defined above, and the response data for Table S2 Q1. Here the participants where posed the following statement: "Indicate how important you believe each of the following factors are for pest-suppressive soil microbes on your farm." The factors are as follows with column definitions: D1_Irrigation - Irrigation; D1_Crop - Crop diversity (# of crops grown); D1_Livestock - Livestock rotation; D1_Fertilizer - Fertilizer inputs (N, P, K); D1_Compost - Compost applications; D1_Reduced - Reduced or no-tillage; D1_Cover - Cover cropping; D1_Mulch - Mulches (e.g., plastic mulch); D1_Preplant - Pre-planting protocols (e.g., tarping); D1_Microbial - Microbial insecticides applied to soil(e.g., <i>Beauveria </i>spp.); D1_Otherpesticides - Other pesticides applied to soil (e.g., Hydrogen dioxide); D1_SoilType - Soil type (e.g., clay, sandy); D1_SoilOrganic - Soil organic matter; D1_Time - Time in organic farming; D1_Formal - Formal education in farming; D1_Amount - Amount of certified land in vegetable/fruit production; D1_Conventional - Conventional pesticides applied to soil in bordering lands; D1_AmountNatural - Amount of natural areas in bordering lands; D1_IncreaseExtreme - Increases in extreme weather events; D1_Changes - Changes in weather patterns (e.g., early and late frosts). Responses are given on a 1-5 scale from "not at all important" to "extremely important" (see Table S2 Q1 for levels). Dataset titled "DataforFigure3.csv" contains columns associated with Figure 3 and non-parametric tests. Column definitions include: Participant.ID - As defined above; D2_Even - Even though I cannot see soil microbes, I believe they enhance pest suppression on my farm by boosting plant defenses; D2_Farming - The most effective way to promote soil microbes that enhance pest suppression is using farming practices that support them; D2_Inoculants - The most effective way to promote soil microbes that enhance pest suppression is using microbial inoculants (e.g., <i>Beauveria </i>sp.); D4_Knowledge - I participated in this project because I want to know more about the soil microbes on my farm; D4_Use - I intend to use the practices discovered by this project to support soil microbes on my farm. Responses for D2 variables are given on a 1-5 scale from "strongly disagree" to "strongly agree" (see Table S1 Q1, Q2 for levels). Dataset titled "DataforFigure4.xlsx" contains columns associated with Figure 4 and statistics associated with identifying influence of beliefs on practice adoption. Column definitions include: Participant.ID - As defined above; Cluster - The belief cluster each participant was placed through affinity propagation; CoverCroppingLegumes - The adoption of cover cropping using legumes (0 = No; 1 = Yes); SomeNoTillage - The adoption of some practices associated with no tillage (0 = No; 1 = Yes); SyntheticMulching - The adoption of synthetic mulching (0 = No; 1 = Yes); Preplanting - The adoption of preplanting (e.g., solarization) (0 = No; 1 = Yes); PrecisionIrrigation - The adoption of precision irrigation approaches (e.g., drip) (0 = No; 1 = Yes); Pesticides - The adoption of pesticides (0 = No; 1 = Yes). Adoption variables are located in unique sheets. Dataset titled "DataforFigure5.xlsx" contains columns associated with Figure 5 and statistics associated with identifying influence of farm characteristics and farmer demographics on practice adoption. Column definitions include: Participant.ID - As defined above; CertAc - Certified acres in production; CroppingDiversified - The adoption of diversified cropping (&gt;1 crop) (0 = No; 1 = Yes); AbsolutelyNoTillage - The adoption of no tillage between plantings (0 = No; 1 = Yes); BiologicalMulching - Adoption of biological mulches (e.g., hay) (0 = No; 1 = Yes); Age - The participants age in years; CoverCroppingGrasses - The adoption of cover cropping with grasses (0 = No; 1 = Yes); BroadcastIrrigation - The adoption of broadcast irrigation approaches (e.g., overhead) (0 = No; 1 = Yes); MineralFertilizer - The adoption of mineral fertilizers (0 = No; 1 = Yes); TimeOrganic - The time in organic management in years; Preplanting - As defined above; CompostApplication - The adoption of compost applications (0 = No; 1 = Yes); IncomeSource - Farm as main source of income (0 = No; 1 = Yes); CoverCroppingLegumes - As defined above. Dataset titled "DataforFigure6.xlsx" contains columns associated with Figure 6 and statistics associated with identifying motivations and motivations by cluster. Column definitions include: Participant.ID - As defined above; Cluster - As defined above; TotalMotivations - The total motivation across all categories; and the response data for Table S3 Q11. Here the participants where posed the following statement: "Indicate what would motivate your decision to adopt a new practice that supports pest-suppressive soil microbes on your farm." The motivations are as follows with column definitions: D3_Reduced - Reduced labor costs of controlling pests; D3_Easy - Easy integration with your existing practices; D3_Extension - Recommendation made by extension person; D3_Commercial - Recommendation made by commercial advisor; D3_Conversation - Conversation with a neighbor; D3_Workshop - Workshop at a conference; D3_Request - Request by a customer; D3_Benefit - Benefit to the environment; D3_Increase - Increases in marketable yield; D3_Observable - Observable reductions in insect pest damage on your farm; D3_Friendly - A microbe friendly farming labeling scheme for products. Responses were recorded on a 1-5 scale from "Not at all motivating" = 1 to "Extremely Motivating" = 5 (see Table S3 Q11 for more details).<br><br>