Developing a Hydrogeomorphic Wetland Inventory: Reclassifying National Wetlands Inventory Polygons in Geographic Information Systems

Dvorett, Daniel; Bidwell, Joseph R.; Davis, Craig A.; DuBois, Chris

doi:10.1007/s13157-011-0247-7

Cited by 29 publications

(23 citation statements)

References 28 publications

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“…Crane (2014) similarly concluded that buffer metrics in the USA-RAM did not reliably predict vegetation diversity for Oklahoma depressional wetlands, and Bried et al (2014) showed mismatches between the USA-RAM buffer assessment and vegetation-based wetland quality classes in Oklahoma. Wetland assessment and classification in general appears to be challenging across Oklahoma due to a high degree of environmental and climatic variability (Hoagland 2000;Dvorett et al 2012Dvorett et al , 2013.…”

Section: Discussionmentioning

confidence: 99%

“…We tested the depressional HGM class versus an Bother HGM^category containing riverine, fringe, and seep wetlands, but the model incorporating this effect received the lowest empirical support. Regional HGM subclasses offer better ecological resolution but were not used due to sample size limitations and the difficulty in characterizing and ascribing wetlands to subclasses in Oklahoma (Dvorett et al 2012). High climatic variability may also pose a challenge for wetland assessments in this region (Dvorett et al 2013), and we did not account (explicitly) for the wide range of precipitation across Oklahoma (Hoagland 2000).…”

Section: Discussionmentioning

confidence: 99%

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Rapid Buffer Assessment Fails to Predict and Classify Wetland Floristic Quality in Oklahoma

Bried

Jog²,

Davis

et al. 2016

Wetlands

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Rapid field assessment indicators of ecological stress and disturbance may or may not reflect actual biological conditions. We tested the ability of rapidly assessed buffer quality to predict and classify wetland floristic quality across 106 sites in Oklahoma, USA. We used buffer zone metrics from a national-level rapid assessment tool (USA-RAM) to evaluate applicability at the state level. The rapid assessment relying on buffer quality did not relate predictably (linearly) with floristic quality, but the relationship improved after ecoregional stratification. Focusing on the Central Great Plains ecoregion with 55 wetlands sampled, we found 16 floristically intact sites and 13 floristically altered sites based on multivariate testing of the Floristic Quality Assessment Index and several component metrics. Distributions of buffer metrics across these sites were similar between the floristically intact and altered classes, suggesting potential for misclassification of wetland biological condition using rapid buffer assessment. Some of the disconnect may be attributed to bias in the buffer measurements and to using a national assessment protocol at the state level. Buffer metrics in the USA-RAM may offer little insight about wetland biological condition in some regions, and the use of such metrics should only complement direct bioassessments and not substitute for them.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Rapid Buffer Assessment Fails to Predict and Classify Wetland Floristic Quality in Oklahoma

Bried

Jog²,

Davis

et al. 2016

Wetlands

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“…Because the developers of each classification essentially made the class assignments, errors of misclassification are negligible. Although mapping errors are possible in NWI (Dvorett et al 2012), we assigned classes based on the conditions found on the field visit.…”

Section: Cook Inlet Classification Systemmentioning

confidence: 99%

Evaluation of a wetland classification system devised for management in a region with a high cover of peatlands: an example from the Cook Inlet Basin, Alaska

Gracz

Glaser

2016

Wetlands Ecol Manage

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Several wetland classification schemes are now commonly used to describe wetlands in the contiguous United States to meet local, regional, and national regulatory requirements. However, these established systems have proven to be insufficient to meet the needs of land managers in Alaska. The wetlands of this northern region are predominantly peatlands, which are not adequately treated by the nationally-used systems, which have few, if any, peatland classes. A new system was therefore devised to classify wetlands in the rapidly urbanizing Cook Inlet Basin of southcentral Alaska, USA. The Cook Inlet Classification (CIC) is based on seven geomorphic and six hydrologic components that incorporate the environmental gradients responsible for the primary sources of variation in peatland ecosystems. The geomorphic and hydrologic components have the added advantage of being detectable on remote sensing imagery, which facilitates regional mapping across large tracts of inaccessible terrain. Three different quantitative measures were used to evaluate the robustness and performance of the CIC classes relative to that of other commonly used systems in the contiguous United States. The high within-group similarity of the classes identified by the CIC was clearly superior to that of the other systems, demonstrating the need for improved wetland classification systems specifically devised for regions with a high cover of peatlands.

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“…(1) a reference wetlands guide assembled by the Oklahoma Conservation Commission (Henley and Harrison 2000), (2) past wetland vegetation inventories by the Oklahoma Biological Survey, (3) past wetland studies by Oklahoma State University (Hartzell et al 2007;Dvorett et al 2012;unpubl. data), and (4) exhaustive field searches in 30 public, protected areas.…”

Section: Site Selectionmentioning

confidence: 99%

“…1) but due to sample size limitations the ecoregions were grouped into general forest and prairie regions (see Appendix 1). Following Brinson (1993) and Dvorett et al (2012), most sites were assigned to riverine or depressional hydrogeomorphic (HGM) classes and a few to seep and fringe classes (Appendix 1). We did not use HGM subclasses for this study due to sample size limitations and because many subclass categorizations are uncertain in this region (Dvorett et al 2012).…”

Section: Site Selectionmentioning

confidence: 99%

Potential Vegetation Criteria for Identifying Reference-Quality Wetlands in the South-Central United States

et al. 2014

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Reference criteria are needed for wetland monitoring and assessment programs. We used field-collected vegetation data from non-forested wetland sites in the south-central United States to establish preliminary criteria for identifying reference-quality wetlands in future surveys. Our analysis included three parts: (1) preliminary reference verification and metric ranking using boxplots and standardized effect size, (2) updating the putative reference sample and metric selection using Test Site Analysis, and (3) establishing reference criteria from best-metric confidence intervals and indicator species combinations. The Floristic Quality Assessment Index most clearly distinguished the reference wetlands; an index value of at least 20 is recommended for future reference designations in the study region. Other potential reference criteria include a maximum of 3-5 % bare ground in the 100 m buffer, a moderately sensitive species assemblage (mean conservatism>5.0), a small percentage (<10 %) of tolerant species (coefficient of conservatism≤2), and high native richness (>22 species). Five single species, four pairs, and one triplet combination were extracted as potential indicators of reference sites from 70,375 combinations of 75 candidate species, offering an efficient alternative to sampling entire vegetation communities. The analysis framework in this case study could be useful for similar projects in other regions.

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Developing a Hydrogeomorphic Wetland Inventory: Reclassifying National Wetlands Inventory Polygons in Geographic Information Systems

Cited by 29 publications

References 28 publications

Rapid Buffer Assessment Fails to Predict and Classify Wetland Floristic Quality in Oklahoma

Rapid Buffer Assessment Fails to Predict and Classify Wetland Floristic Quality in Oklahoma

Evaluation of a wetland classification system devised for management in a region with a high cover of peatlands: an example from the Cook Inlet Basin, Alaska

Potential Vegetation Criteria for Identifying Reference-Quality Wetlands in the South-Central United States

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