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How to Collect Data on Agricultural Nutrient Management Practices: Survey Results from Iowa

Abstract Number:

2295 

Submission Type:

Contributed Abstract 

Contributed Abstract Type:

Paper 

Participants:

Zhengyuan Zhu (1), Kunal Das (2), Rob Davis (3), Matthew Helmers (3), Ben Gleason (4), Isenhert Thomas (1)

Institutions:

(1) Iowa State University, N/A, (2) Iowa State Univ, N/A, (3) Iowa State University, United States, (4) Iowa Nutrient Research and Education Council, N/A

Co-Author(s):

Kunal Das  
Iowa State Univ
Rob Davis  
Iowa State University
Matthew Helmers  
Iowa State University
Ben Gleason  
Iowa Nutrient Research and Education Council
Isenhert Thomas  
Iowa State University

First Author:

Zhengyuan Zhu  
Iowa State University

Presenting Author:

Kunal Das  
Iowa State Univ

Abstract Text:

In response to the 2008 Gulf Hypoxia Action Plan, the Iowa Department of Agriculture partnered with the Iowa State University to create the Iowa Nutrient Reduction Strategy (INRS) to assess and reduce nutrient loadings in Iowa waters and the Gulf of Mexico. In this presentation we will discuss how survey sampling methodologies can be used efficiently to reach such goal of nutrient reduction plans based on the finite sample data collected in Iowa. The two-stage procedure employed initiates with a sampling methodology of randomly selecting 150 individuals out of 580 agricultural retailers across all eight MLRAs(Major Land Resource Areas) using the Local Pivotal Method(LPM) to ensure a balanced sampling scheme. Once data are collected, the average, as well as the standard errors for the percentage of total land where different categories of nutrients are used, is also being extrapolated to the entire state to help policymakers chalk out their nutrient-reduction plans for the succeeding crop years using stratified sampling. To wrap up, We will present some of the findings regarding land use for different nutrients for all these years, and their uncertainty estimates for visualization.

Keywords:

Nutrient reduction plans|Balanced sampling|Local Pivotal Method|Stratified sampling| |

Sponsors:

Survey Research Methods Section

Tracks:

Survey Methodology/Modes

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