rFIA: An R package for estimation of forest attributes with the US Forest Inventory and Analysis database

Abstract Forest Inventory and Analysis (FIA) is a US Department of Agriculture Forest Service program that aims to monitor changes in forests across the US. FIA hosts one of the largest ecological datasets in the world, though its complexity limits access for many potential users. rFIA is an R package designed to simplify the estimation of forest attributes using data collected by the FIA Program. Specifically, rFIA improves access to the spatio-temporal estimation capacity of the FIA Database via space–time indexed summaries of forest variables within user-defined population boundaries (e.g., geographic, temporal, biophysical). The package implements multiple design-based estimators, and has been validated against official estimates and sampling errors produced by the FIA Program. We demonstrate the utility of rFIA by assessing changes in abundance and mortality rates of ash (Fraxinus spp.) populations in the Lower Peninsula of Michigan following the establishment of emerald ash borer (Agrilus planipennis).

[1]  Hadley Wickham,et al.  Tools to Make Developing R Packages Easier , 2016 .

[2]  Paul L. Patterson,et al.  FIESTA—An R estimation tool for FIA analysts , 2015 .

[3]  Ronald E. McRoberts,et al.  Adding uncertainty to forest inventory plot locations: effects on analyses using geospatial data , 2007 .

[4]  Grant M. Domke,et al.  Applications of the United States Forest Inventory and Analysis dataset: a review and future directions , 2018, Canadian Journal of Forest Research.

[5]  R. Hofstetter,et al.  Survey for Armillaria by Plant Associations in Northern Arizona , 2014 .

[6]  A. Gillespie,et al.  Rationale for a National Annual Forest Inventory Program , 1999, Journal of Forestry.

[7]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[8]  D. Horvitz,et al.  A Generalization of Sampling Without Replacement from a Finite Universe , 1952 .

[9]  Claude Vidal,et al.  National Forest Inventories Assessment of Wood Availability and Use , 2016 .

[10]  M. Hansen,et al.  Using forest service forest inventory and analysis data to estimate regional oak decline and oak mortality , 2008 .

[11]  Ronald E. McRoberts,et al.  Estimating and Circumventing the Effects of Perturbing and Swapping Inventory Plot Locations , 2005, Journal of Forestry.

[12]  William A. Bechtold,et al.  The enhanced forest inventory and analysis program of the USDA forest service: historical perspective and announcements of statistical documentation , 2005 .

[13]  Sharon W. Woudenberg,et al.  The Forest Inventory and Analysis Database: Database Description and Users Manual Version 4.0 for Phase 2 , 2012 .

[14]  Therese M. Poland,et al.  Emerald Ash Borer: Invasion of the Urban Forest and the Threat to North America’s Ash Resource , 2006, Journal of Forestry.

[15]  Robert G. Haight,et al.  Economic Impacts of Non-Native Forest Insects in the Continental United States , 2011, PloS one.

[16]  V. Lenin,et al.  The United States of America , 2002, Government Statistical Agencies and the Politics of Credibility.

[17]  William H. McWilliams,et al.  Forest Inventory and Analysis Database of the United States of America (FIA) , 2012 .

[18]  William A. Bechtold,et al.  The enhanced forest inventory and analysis program - national sampling design and estimation procedures , 2005 .

[19]  E. Tomppo National Forest Inventories : pathways for common reporting , 2010 .

[20]  Edzer Pebesma,et al.  Simple Features for R: Standardized Support for Spatial Vector Data , 2018, R J..

[21]  W. B. Smith,et al.  Forest inventory and analysis: a national inventory and monitoring program. , 2002, Environmental pollution.