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Inter-Observer Error in Wetland Vegetation Surveys

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Abstract

Vegetation surveys are a common component of sampling wetlands. Although observer error is known to be ubiquitous in vegetation sampling in general, extremely few studies of observer error have been conducted in wetland habitats. We quantified inter-observer error in sampling emergent, scrub-shrub, and forested wetlands located in Ohio. Two expert observers independently recorded species present and estimated foliar cover within ten cover classes in 10 × 10 m modules, which were units of larger sample plots, in six wetlands. Although the numbers of species recorded by observers were similar, the identities of species recorded differed due to overlooking of species actually present, misidentification error, and not recording species to the same taxonomic level. We calculated rates of pseudoturnover due to each of these three sources of error at different spatial scales (i.e., plot vs. module level), for different vegetation strata (i.e., herbaceous vs. woody) and for the three vegetation types. We also quantified estimation error associated with cover class estimates. Several different types of VIBIs (Vegetation Index of Biotic Integrity) were calculated based on each observer’s records. Pseudoturnover rates ranged from 15 to 40%, and observers recorded different cover classes 59% of the time. VIBI categorization was affected 17% of the time.

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References

  • Archaux F (2009) Could we obtain better estimates of plot species richness from multiple-observer plant censuses? Journal of Vegetation Science 20:603–611

    Article  Google Scholar 

  • Archaux F, Gosselin F, Berges L, Chevalier R (2006) Effects of sampling time, species richness and observer on the exhaustiveness of plant censuses. Journal of Vegetation Science 17:299–306

    Article  Google Scholar 

  • Archaux F, Berges L, Chevalier R (2007) Are plant censuses carried out on small quadrats more reliable than on larger ones? Plant Ecology 188:179–190

    Article  Google Scholar 

  • Archaux F, Camaret S, Dupouey J-L, Ulrich E, Corcket E, Bourjot L, Brethes A, Chevalier R, Dobremez J-F, Dumas Y, Dume G, Foret M, Forgeard F, Gallet ML, Picard J-F, Richard F, Savoie J-M, Seytre L, Timbal J, Touffet J (2009) Can we reliably estimate species richness with large plots? An assessment through calibration training. Plant Ecology 203:303–315

    Article  Google Scholar 

  • Bergstedt J, Westerberg L, Milberg P (2009) In the eye of the beholder: bias and stochastic variation in cover estimates. Plant Ecology 204:271–283

    Article  Google Scholar 

  • Bingham SN, Young CC, Haack-Gaynor JL, Morrison LW, Rowell GA (2016) Wetland monitoring protocol for Cuyahoga Valley National Park: Narrative. Natural Resource Report NPS/HTLN/NRR—2016/1336. National Park Service, Fort Collins, Colorado

  • Block WM, With KA, Morrison ML (1987) On measuring bird habitat: influence of observer variability and sample size. Condor 89:241–251

    Article  Google Scholar 

  • Bråkenhielm S, Liu Q (1995) Comparison of field methods in vegetation monitoring. Water Air Soil Pollut 79:75–87

    Article  Google Scholar 

  • Brinson MM (1993) A Hydrogeomorphic Classification for Wetlands. U.S. Army Corps of Engineers, Waterways Experiment Station, Vicksburg, MS, USA. Technical Report WRP-DE-4, U.S. Army Engineer Waterways Experiment Station, Vicksburg, Mississippi

  • Burg S, Rixen C, Stoeckli V, Wipf S (2015) Observation bias and its causes in botanical surveys on high-alpine summits. Journal of Vegetation Science 26:191–200

    Article  Google Scholar 

  • Carlsson ALM, Bergfur J, Milberg P (2005) Comparison of data from two vegetation monitoring methods in semi-natural grasslands. Environmental Monitoring and Assessment 100:235–248

    Article  Google Scholar 

  • Chen G, Kery M, Zhang J, Ma K (2009) Factors affecting detection probability in plant distribution studies. Journal of Ecology 97:1383–1389

    Article  Google Scholar 

  • Cowardin LM, Carter V, Golet FC, LaRoe ET (1979) Classification of wetlands and deepwater habitats of the United States. U. S. Department of the Interior, Fish and Wildlife Service, Washington, D.C. Jamestown, ND: Northern Prairie Wildlife Research Center Home Page. http://www.npwrc.usgs.gov/resource/1998/classwet/classwet.htm (Version 04DEC98). Accessed 24 Sept 2018

  • Dennett JM, Gould AJ, Macdonald SE, Nielsen SE (2018) Investigating detection success: lessons from trials using decoy rare plants. Plant Ecology 219:577–589

    Article  Google Scholar 

  • Environmental Laboratory (1987) Corps of Engineers Wetlands Delineation Manual. Technical Report Y-87-1, U.S. Army Engineer Waterways Experiment Station, Vicksburg, Mississippi

  • Gorrod EJ, Keith DA (2009) Observer variation in field assessments of vegetation condition: implications for biodiversity conservation. Ecological Management and Restoration 10:31–40

    Article  Google Scholar 

  • Gorrod EJ, Bedward M, Keith DA, Ellis MV (2013) Systematic underestimation resulting from measurement error in score-based ecological indices. Biological Conservation 157:266–276

    Article  Google Scholar 

  • Gotfryd A, Hansell RIC (1985) The impact of observer bias on multivariate analyses of vegetation structure. Oikos 45:223–234

    Article  Google Scholar 

  • Gray AN, Azuma DL (2005) Repeatability and implementation of a forest vegetation indicator. Ecological Indicators 5:57–71

    Article  Google Scholar 

  • Groom QJ, Whild SJ (2017) Characterisation of false-positive observations in botanical surveys. PeerJ 5:e3324. https://doi.org/10.7717/peerj.3324

    Article  PubMed  PubMed Central  Google Scholar 

  • Hall JB, Okali DUU (1978) Observer bias in a floristic survey of complex tropical vegetation. Journal of Ecology 66:241–250

    Article  Google Scholar 

  • Kercher SM, Frieswyk CB, Zedler JB (2003) Effects of sampling teams and estimation methods on the assessment of plant cover. Journal of Vegetation Science 14:899–906

    Article  Google Scholar 

  • Kéry M, Gregg KB (2003) Effects of life-state on detectability in a demographic study of the terrestrial orchid Cleistes bifaria. Journal of Ecology 91:265–273

    Article  Google Scholar 

  • Kirby KJ, Bines T, Burn A, Mackintosh J, Pitkin P, Smith I (1986) Seasonal and observer differences in vascular plant records from British UK woodlands. Journal of Ecology 74:123–132

    Article  Google Scholar 

  • Klimeš L (2003) Scale-dependent variation in visual estimates of grassland plant cover. Journal of Vegetation Science 14:815–821

    Article  Google Scholar 

  • Klimeš L, Dancak M, Hajek M, Jongepierova I, Kucera T (2001) Scale-dependent biases in species counts in a grassland. Journal of Vegetation Science 12:699–704

    Article  Google Scholar 

  • Lepš J, Hadincová V (1992) How reliable are our vegetation analyses? Journal of Vegetation Science 3:119–124

    Article  Google Scholar 

  • Mack JJ (2001) Ohio Rapid Assessment Method for Wetlands, Manual for Using Version 5.0. Ohio EPA Technical Bulletin Wetland/2001-1-1. Ohio Environmental Protection Agency, Division of Surface Water, 401 Wetland Ecology Unit, Columbus, Ohio

  • Mack JJ, Gara BD (2015) Integrated Wetland Assessment Program. Part 9: Field Manual for the Vegetation Index of Biotic Integrity for Wetlands v. 1.5. Ohio EPA Technical Report WET/2015–2. Ohio Environmental Protection Agency, Wetland Ecology Group, Division of Surface Water, Columbus, Ohio

  • Mack JJ, Kentula ME (2010) Metric similarity in vegetation-based wetland assessment methods. EPA/600/R-10/140. U.S. Environmental Protection Agency, Office of Research and Development, Washington, D.C.

  • McCune B, Dey JP, Peck JE, Cassell D, Heiman K, Will-Wolf S, Neitlich PN (1997) Repeatability of community data: species richness versus gradient scores in large-scale lichen studies. The Bryologist 100:40–46

    Article  Google Scholar 

  • Moore JL, Hauser CE, Bear JL, Williams NSG, McCarthy MA (2011) Estimating detection-effort curves for plants using search experiments. Ecological Applications 21:601–607

    Article  Google Scholar 

  • Morrison LW (2016) Observer error in vegetation surveys: a review. Journal of Plant Ecology 9:367–379

    Article  Google Scholar 

  • Morrison LW, Young CC (2016) Observer error in sampling a rare plant population. Plant Ecology and Diversity 9:289–297

    Article  Google Scholar 

  • Nilsson IN, Nilsson SG (1985) Experimental estimates of census efficiency and pseudoturnover on islands: error trend and between-observer variation when recording vascular plants. Journal of Ecology 73:65–70

    Article  Google Scholar 

  • Ringvall A, Petersson H, Stahl G, Lamas T (2005) Surveyor consistency in presence/absence sampling for monitoring vegetation in a boreal forest. Forest Ecology and Management 212:109–117

    Article  Google Scholar 

  • Scott WA, Hallam CJ (2002) Assessing species misidentification rates through quality assurance of vegetation monitoring. Plant Ecology 165:101–115

    Article  Google Scholar 

  • Smith AD (1944) A study of reliability of range vegetation estimates. Ecology 25:441–448

    Article  Google Scholar 

  • Sykes JM, Horrill AD, Mountford MD (1983) Use of visual cover assessments as quantitative estimators of some British woodland taxa. Journal of Ecology 71:437–450

    Article  Google Scholar 

  • Symstad AJ, Wienk CL, Thorstenson AD (2008) Precision, repeatability, and efficiency of two canopy-cover estimate methods in northern Great Plains vegetation. Rangeland Ecology and Management 61:419–429

    Article  Google Scholar 

  • Tonteri T (1990) Inter-observer variation in forest vegetation cover assessments. Silva Fennica 24:189–196

    Article  Google Scholar 

  • Vittoz P, Guisan A (2007) How reliable is the monitoring of permanent vegetation plots? A test with multiple observers. Journal of Vegetation Science 18:413–422

    Article  Google Scholar 

  • Vittoz P, Bayfield N, Brooker R, Elston DA, Duff EI, Theurillat J-P, Guisan A (2010) Reproducibility of species lists, visual cover estimates and frequency methods for recording high-mountain vegetation. Journal of Vegetation Science 21:1035–1047

    Article  Google Scholar 

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Acknowledgements

Doug Marcum provided field assistance. EnviroScience Inc., Stow OH, contributed valuable information to this project. Rob Curtis (Summit Metro Parks) and Jon Reinier (Cleveland Metro Parks) assisted with voucher verification. Views, statements, findings, conclusions, recommendations, and data in this report are those of the author(s) and do not necessarily reflect views and policies of the National Park Service, U.S. Department of the Interior. Mention of trade names or commercial products does not constitute endorsement or recommendation for use by the National Park Service.

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Correspondence to Lloyd W. Morrison.

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Morrison, L.W., Bingham, S.N. & Young, C.C. Inter-Observer Error in Wetland Vegetation Surveys. Wetlands 40, 249–258 (2020). https://doi.org/10.1007/s13157-019-01173-8

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