Assessing Accuracy in Plant Identification in a Riparian Monitoring Protocol Fish & Aquatic Ecology Unit Catherine Mae Culumber and Alison Kelly U.S.D.A. Forest Service, PIBO Effectiveness Monitoring Project Rocky Mountain Research Station, Logan, UT 84321 Data Subset •Technicians misidentified 9% of specimens (26/274, excludes unknowns) •Average Relative Importance of 16.2 •Unidentifiable specimens comprised 15% of specimens (51/351, includes unknowns) •Average Relative Importance of 4.2 Introduction Two sources of error in vegetation studies are incomplete and incorrect identification of vascular plant taxa Unknown plants and incomplete identifications (to the genus level) can limit the ability of researchers to draw conclusions from ecological data •Effect of Misidentification on Wetland Rating •While the differences were not significant, misidentifications tended to lower the Wetland Rating slightly (Figure 6) •of 21, 7 unchanged, 4 higher, 10 lower •Coefficient of variation between Wetland Ratings with correct vs. incorrect identifications was low (n=21, CV = 2.94) Our objectives in this research were: •describe the error associated with incomplete and incorrect identification of vascular plant taxa •investigate the effects of this error on data summary and analysis Methods 100 WA Study Site •Interior Columbia River Basin •Wide range of communities •Salix/Shrub dominated (Fig. 1) •Graminoid dominated •Forested (Fig. 2) MT 90 80 OR ID WY 70 Fig. 3 Vegetation technician collecting data on the greenline UT GL Wetland Rating NV Results Large Dataset •A decrease over time in the number of unknowns collected at a sampling reach, technicians distinguished by color (Figure 4) •Note that most technicians consistently collected fewer or more unknowns relative to other technicians •General decrease over season probably due to increasing familiarity with flora 60 50 Correct IDs Incorrect IDs 40 30 20 10 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 Site Fig. 6. Wetland Ratings with correct and incorrect identifications for 21 sites 40 Discussion and Conclusions 35 •Number of unknowns decreased over the field season •Possible contributing factors: an increase of flowering vegetation and technician experience •Indicates the importance of training and supervision by experienced botanists early in the field season •Consistently high or low unknowns relative to others may correlate to the level of technician experience Fig. 1. Salix/Shrub dominated community # of UNKNOWNS 30 25 20 15 •Average number of unidentifiable specimens decreased over the field season, and the data subset showed that the relative importance of those specimens was low 10 5 0 03 20 1/ /1 10 3 00 /2 21 9/ 03 20 1/ 9/ 3 00 /2 12 8/ 3 00 /2 23 7/ 03 20 3/ 7/ 3 00 /2 13 6/ 3 00 /2 24 5/ Date Fig. 4. Number of unknowns per day over time for 12 techs Large Dataset •12 similarly trained botanical technicians performed riparian vegetation surveys using Daubenmire quadrats (20 x 50 cm) (Coles-Ritchie et al., 2003, modified from Winward 2000) •Technicians identified specimens to the best of their ability in the field and collected unknown taxa in field plant presses •Specimens were identified by experienced botanists in the lab •Number of unknowns over time calculated •Average number of unidentifiable specimens over time calculated Data Subset •To assess the rate of misidentification •Technicians collected specimens of all (known and unknown) vascular plants over 5% cover in randomly selected quadrats throughout field season (Figure 3) •Identifications compared with identifications in the lab •The impact of misidentification on a Wetland Rating was assessed, assuming that taxa misidentified at the sample quadrat were misidentified throughout •Wetland Rating is an index that provides information about the moisture availability on the streambank (Coles-Ritchie 2004) 35 30 Literature Cited 25 Brandon, A. 2003. Can Volunteers Provide High Quality Forest Monitoring Data?, Illinois EcoWatch Network, http://dnr.state.il.us/orep/ecowatch/Data/fw/Volunteerwriteup.htm, accessed 1/20/04. 20 Coles-Ritchie, M., R. Henderson, M. Culumber, and A. Kelly. 2003. Effectiveness Monitoring for Streams and Riparian Areas within the Upper Columbia River Basin: Sampling Protocol, Vegetation Parameters. Internal document. U.S.D.A. Forest Service, Fish and Aquatic Ecology Unit, Logan, UT. 15 10 5 R2 = 0.3959 0 Fig. 5. Average number of unidentifiable specimens by day 3 00 /2 16 9/ Date 3 00 /2 27 8/ 03 20 7/ 8/ 3 00 /2 18 7/ 3 00 /2 28 6/ FHM posters home page 40 03 20 8/ 6/ n Site Wetland Rating = ∑ ( rimpi * wiri) i =1 Where: i = all species at a site, rimpi (relative importance) = importance / ∑ importance all species, impi = average coveri * relative frequency, and wiri (Wetland Indicator Ranking) = value for each Wetland Indicator Status on 0-100 scale •A decrease over time in the average number of unknowns that were unidentifiable in the lab for all technicians (Figure 5) •Specimens tended to have reproductive structures later in season •Most problematic families when sterile: Cyperaceae (sedges), Poaceae (grasses), Apiaceae (Carrot family), Asteraceae (Sunflower family) Avg Number Unidentifiable Specimen Fig 2. Forested community •Misidentification Rate •Lower level of misidentification compared with 25% field misidentification rate for 2002 preliminary investigation (Culumber 2002) •Other research shows a 45% misidentification rate among volunteer botanists in Ill., where oak and elm species were most commonly misidentified (Brandon 2003) •Effect on Wetland Rating •While relative importance of misidentified taxa was high (16.2), wetland ratings for streamside vegetation had a low CV of 2.94 •Larger dataset CV of 5.5 with misidentification as a one of several contributing factors •What sources of error can we control? •Unknown specimens •minimize with supervision •collected unknown specimens add to data quality •Unidentifiable specimens •limited control with survey timing •Incorrect identifications •minimize with supervision and training Coles-Ritchie, M. 2004. A Wetland Rating System for Evaluating Riparian Vegetation. Disssertation. Utah State University, Logan, UT. Culumber, M. 2002. Investigation of Plant Specimen Field Indentification Accuracy. Internal document. U.S.D.A. Forest Service, Fish and Aquatic Ecology Unit, Logan, UT. Winward, A. 2000. Monitoring the Vegetation Resources in Riparian Areas. U.S.D.A. Forest Service, Rocky Mountain Research Station. RMRS-GTR-47. FHM 2004 posters