Nutrient Criterion Data

Creators

Paul M. Jakus, Utah State UniversityFollow
Nanette Nelson, University of MontanaFollow
Jeffrey Ostermiller, Utah Division of Water QualityFollow

Description

We present a scientific replication of a benthic algae nuisance threshold study originally conducted in Montana, but we do so using a different sampling methodology in a different state. Respondents are asked to rate eight photographs that depict varying algae conditions. Our initial results show that Utah resident preferences for benthic algae levels are quite similar to those of Montana residents, thus replicating the Montana study. For the full Utah sample, though, Cronbachís ? indicated poor internal consistency in rating the photographs, so a ëmonotonicity ruleí was used to identify respondents providing monotonic preferences with respect to chlorophyll a densities. Simple graphical analyses are combined with ordered probit analysis to determine the maximum desirable density of chlorophyll a (Chl a). Our analysis indicates that Chl a levels in excess of 150 mg Chl a/m2 are undesirable, but the regression model suggests that those with strictly monotonic preferences were far more likely favor a more stringent standard.

Author ORCID Identifier

Paul M. Jakus https://orcid.org/0000-0001-9261-3709

OCLC

1078403399

Document Type

Dataset

DCMI Type

Dataset

File Format

.dta, .txt, .do

Viewing Instructions

Description of files: File #1: Jakus et al Nutrient Criterion Data Archived for WRR.dta Stata 15 data (.dta) file created 10-10-17 at 12:01 p.m. All variables have complete labels, including codes. File #2: Jakus et al Stata Code for WRR.do Stata 15 code (.do) file that runs creates all statistics reported in WRR manuscript Special software required to use data Stata 15

Publication Date

10-11-2017

Funder

Utah Division of Water Quality

Publisher

Utah State University

Referenced by

Jakus, P. M., Nelson, N., & Ostermiller, J. ( 2017). Using survey data to determine a numeric criterion for nutrient pollution. Water Resources Research, 53, 10,188– 10,200. https://doi.org/10.1002/2017WR021527

Language

eng

Code Lists

Definition of acronyms, codes, and abbreviations: Stata 15 .dta file contains names and codes that are easily cross-checked with the WRR manuscript text and tables (see below).

Descriptions of parameters/variables Stata 15 .dta file contains names and codes that are easily cross-checked with the WRR manuscript text and tables (see below).

Comments

README file is available through the link above.

License

This work is licensed under a Creative Commons Attribution 4.0 License.

Recommended Citation

Jakus, P. M., Nelson, N., & Ostenmiller, J. (2017). Nutrient Criterion Data. Utah State University. https://doi.org/10.15142/T3NS7T

Checksum

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