title: A primer for nonresponse in the US forest inventory and analysis program.
abstract: Nonresponse caused by denied access and hazardous conditions are a concern for the USDA Forest Service, Forest Inventory and Analysis (FIA) program, whose mission is to quantify status and trends in forest resources across the USA. Any appreciable amount of nonresponse can cause bias in FIA's estimates of population parameters. This paper will quantify the magnitude of nonresponse and describe the mechanisms that result in nonresponse, describe and qualitatively evaluate FIA's assumptions regarding nonresponse, provide a recommendation concerning plot replacement strategies, and identify appropriate strategies to pursue that minimize bias. The nonresponse rates ranged from 0% to 21% and differed by land owner group; with denied access to private land the leading cause of nonresponse. Current FIA estimators assume that nonresponse occurs at random. Although in most cases this assumption appears tenable, a qualitative assessment indicates a few situations where the assumption is not tenable. In the short-term, we recommend that FIA use stratification schemes that make the missing at random assumption tenable. We recommend the examination of alternative estimation techniques that use appropriate weighting and auxiliary information to mitigate the effects of nonresponse. We recommend the replacement of nonresponse sample locations not be used.
authors.affiliation: U.S. Forest Service, Rocky Mountain Research Station, 2150A Centre Ave, Suite 350, Fort Collins, CO 80526, USA. plpatterson@fs.fed.us
authors.forename: Paul L
authors.initials: PL
authors.lastname: Patterson
authors.forename: John W
authors.initials: JW
authors.lastname: Coulston
authors.forename: Francis A
authors.initials: FA
authors.lastname: Roesch
authors.forename: James A
authors.initials: JA
authors.lastname: Westfall
authors.forename: Andrew D
authors.initials: AD
authors.lastname: Hill
mesh_terms: D003247:Conservation of Natural Resources; D004784:Environmental Monitoring / Q000379:methods / Q000592:standards; D016468:Forestry / Q000379:methods* / Q000592:standards; D015397:Program Evaluation; D014197:Trees / Q000145:classification / Q000254:growth & development*; D014481:United States