NEWS

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rFIA 1.1.3 (2026-04-30)

• Substantial updates to the fsi() function. Some of these functions fixed some common errors that could be encountered under specific circumstances where the function broke, which happened as a result of updates to FIADB since the last time this function underwent a major update. An additional update fixes an important bug where the scaleBy function would not always work as was reported. In particular, under certain situations (namely byPlot = TRUE) the subsequent calculations of relative density did not use the level-specific intercepts and slopes that were estimated in the regression model, and instead the overall mean was used (i.e., equivalent to if scaleBy was not specified). This could lead to sub-optimal accuracy of the relative density calculations, and in subsequent FSI outputs. Apologies for any problems this may have caused.
• Updated the biomass() function to fix a bug in reported estimates when component = 'TOTAL'. There was a mismatch in what was reported between the documentation and the function output. The estimate provided simply added up all biomass across the different components provided by biomass(), which did not make much sense since the different components are not mutually exclusive. This is now fixed such that component = 'TOTAL' provides biomass estimates equal to the sum of ROOT, STEM, STEM_BARK, BRANCH, and FOLIAGE components. Apologies for the inconvenience this error may have caused.

rFIA 1.1.2 (2025-09-29)

• Updated all estimation functions to allow grouping by variables in the PLOTGEOM database table within the grpBy argument. Also changed readFIA() to by default read in PLOTGEOM as one of the common database tables. Thanks to Jacob Fraser for the suggestion here.
• Fixed a bug with dtplyr 1.3.2 that led to an error in areaChange()

rFIA 1.1.1 (2025-03-10)

• Jeff Doser is the new package maintainer. Please send all inquiries via email to Jeff ([email protected]) or post potential bugs on the GitHub development page.
• Updated the fiaRI object to reflect recent changes in the FIA Database. These changes resulted in the package functions successfully working with the previous version of fiaRI but not working for actual user data when pulling data from recent versions of the FIA Database.
• Updated functionality for working with external spatial (sf) objects with the following functions: tpa(). Changes in recent versions of the sf package led to errors when attempting to return a spatial object. This bug is now fixed.
• Updated a substantial bug in area() and areaChange() that resulted in incorrect area (or area change) estimates being reported when specifying treeDomain and grpBy (when using grouping variables from TREE). In the previous version, the filters were not properly applied, and so area estimates did not adequately represent the filtering conditions and often just provided the same values as if treeDomain was not specified. Estimates now provide correct results that are more inline with intuition. For example, if specifying treeDomain = SPCD == 121 [i.e., longleaf pine], the previous area() function would essentially ignore this and return area of all forest plots. Now, area() will return the estimate of land area where at least one longleaf pine tree occurs. Further, the estimate of percent area will be the percentage of total land area (which is determined by landType) that contains longleaf pine.
• Substantial updates to biomass(). Previous versions were not compatible with updates in FIADB and the new National Scale Volume and Biomass (NSVB) estimators. The function is now updated and returns biomass and carbon estimates using the NSVB procedure.
• Updated findEVALID() to return the correct evaluation IDs. Previous versions had an incorrect join that resulted in additional, incorrect EVALIDs being returned for a given set of criteria. This function should only be used by users familiar with FIA and desiring to use FIA data for use outside of rFIA, as rFIA is built in a way that users do not need to directly interact with EVALIDs.
• Updated dwm() when byPlot = TRUE to set the YEAR column equal to the year each plot was measured (MEASYEAR), which may differ slightly from its associated inventory year (INVYR). This is what all other rFIA functions do and what was reported in the manual, but the YEAR returned prior to this version was actually the inventory year.
• Fixed a bug with growMort() that resulted in estimates of mean annual survivor growth and mean annual net change reporting as 0.
• Fixed a discrepancy with growMort() calculation of removals and the description of it in the manual. Removal estimates provided by growMort() do NOT include stems that grow beyond the 5-inch diameter threshold and then are subject to harvest or natural mortality before the remeasurement period. In other words, rFIA recruitment does not include trees corresponding to FIA growth components of CUT2 and MORTALITY2.
• Fixed a typo in the standStruct() documentation that incorrectly said the lower diameter for Pole class was set at 11cm while it is in fact set at 12.7cm (5in).
• Fixed typo in documentation of plotFIA() regarding the error bars produced when se = TRUE. These are 95% confidence intervals, not 68% confidence intervals.
• Added more details to vegStruct() on reporting of estimates by canopy layer and growth habit.
• Updated internal data to now contain the Dec 2024 REF_SPECIES table from FIADB, which provides access to the CARBON_RATIO_LIVE attribute for using the NSVB species-specific carbon fractions.
• Updated all estimation functions to fix a bug that resulted in an error when setting method = 'EMA'.
• Removed all references to "ECOSUBCD" in the help pages since this column was removed from the PLOT table in FIADB v9.3.
• Updated writeFIA() to allow users to write database tables by state when only a subset of the table is originally read into R. This currently requires either the PLOT or COND tables to be read in.
• Fixed a bug in plotFIA() that led to an error in animated plots when gganimate was not loaded (note that gganimate still needs to be installed).