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State of Ohio Wetland Ecology Group Environmental Protection Agency Division of Surface Water INTEGRATED WETLAND ASSESSMENT PROGRAM. Part 7: Amphibian Index of Biotic Integrity (AmphIBI) for Ohio Wetlands Including New Sites in the Erie/Ontario Lake and Drift Plains and Western Allegheny Plateau Ecoregions and Mitigation Sites Ohio EPA Technical Report WET/2004-7 Bob Taft, Governor Chris Jones, Director State of Ohio Environmental Protection Agency P.O. Box 1049, Lazarus Government Center, 122 S. Front Street, Columbus, Ohio 43216-1049 ——————————————————————————————————————

INTEGRATED WETLAND ASSESSMENT PROGRAM. Part 7: … · AmphIBI scores from ten constructed wetlands, nine of which were developed as compensatory mitigation, are presented and discussed

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Page 1: INTEGRATED WETLAND ASSESSMENT PROGRAM. Part 7: … · AmphIBI scores from ten constructed wetlands, nine of which were developed as compensatory mitigation, are presented and discussed

State of Ohio Wetland Ecology Group

Environmental Protection Agency Division of Surface Water

INTEGRATED WETLAND ASSESSMENT PROGRAM. Part 7: Amphibian Index of Biotic Integrity (AmphIBI) for Ohio Wetlands

Including New Sites in the Erie/Ontario Lake and Drift Plains and Western Allegheny

Plateau Ecoregions and Mitigation Sites

Ohio EPA Technical Report WET/2004-7

Bob Taft, Governor Chris Jones, Director

State of Ohio Environmental Protection Agency

P.O. Box 1049, Lazarus Government Center, 122 S. Front Street, Columbus, Ohio 43216-1049

——————————————————————————————————————

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Appropriate Citation:

Micacchion, Mick. 2004. Integrated Wetland Assessment Program. Part 7: AmphibianIndex of Biotic Integrity (AmphIBI) for Ohio Wetlands. Ohio EPA Technical ReportWET/2004-7. Ohio Environmental Protection Agency, Wetland Ecology Group, Divisionof Surface Water, Columbus, Ohio.

This entire document can be downloaded from the website of the Ohio EPA, Division ofSurface Water:

http://www.epa.state.oh.us/dsw/wetlands/WetlandEcologySection.html

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TABLE OF CONTENTS

TABLE OF CONTENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iii

LIST OF TABLES AND FIGURES . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . iv

ABSTRACT . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . v

INTRODUCTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1

METHODS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Amphibian Community Assessment . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 3Quantitative Collection Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4Qualitative Collection Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6Laboratory Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Statistical Analyses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

SITE SELECTION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7

RESULTS AND DISCUSSION . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 8Amphibian Quality Assessment Index . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9The WAP Ecoregion, Eastern Red-Spotted Newts and Marbled Salamanders . . . . . . . . 11Amphibian Quality Assessment Index (AQAI) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Relative Abundance of Sensitive Species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 12Relative Abundance of Tolerant Species . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Number of Species of Pond-breeding Salamanders . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Presence of Spotted Salamanders and/or Wood Frogs . . . . . . . . . . . . . . . . . . . . . . . . . . 13Amphibian Index of Biotic Integrity (AmphIBI)

. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Wetland Tiered Aquatic Life Uses (TALUs) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Wetland Vegetation Classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14Hydrogeomorphic Classes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Wetland Size . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16Mitigation Sites . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

ACKNOWLEDGMENTS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

LITERATURE CITED . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17

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LIST OF TABLES AND FIGURES

Table 1. Wetland Amphibian Coefficients of Conservation and Rationale . . . . . . . . . . . . . . . . 10Table 2. Calculation of AQAI for a hypothetical forested vernal pool . . . . . . . . . . . . . . . . . . . . 12Table 3. Scoring breakpoints for assigning metric scores for AmphIBI . . . . . . . . . . . . . . . . . . 15Table 4. Wetland ecoregions, vegetation classes, metrics, AmphIBI and ORAM 5.0 scores . . 21Figure 1. Summary plots of Amphibian Quality Assessment Index metric. . . . . . . . . . . . . . . . 24Figure 2. Summary plots of Relative Abundance of Sensitive Species metric . . . . . . . . . . . . . . 25Figure 3. Summary plots of Relative Abundance of Tolerant Species metric . . . . . . . . . . . . . . 26Figure 4. Summary plots of Number of Pond-breeding Salamander Species metric . . . . . . . . . 27Figure 5. Summary plots of Relative Abundance of Spotted Salamanders and/or Wood Frogs

metric . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 28Figure 6. Summary plots of Amphibian Index of Biotic Integrity (AmphIBI). . . . . . . . . . . . . 29Figure 7. Summary plots of Amphibian Index of Biotic Integrity (AmphIBI). . . . . . . . . . . . . 30Figure 8. Summary plots of Amphibian Index of Biotic Integrity (AmphIBI). . . . . . . . . . . . . 31

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INTEGRATED WETLAND ASSESSMENT PROGRAM.PART 7: AMPHIBIAN INDEX OF BIOTIC INTEGRITY (AmphIBI) FOR WETLANDS:

INCLUDING NEW SITES IN THE ERIE/ONTARIO LAKE AND DRIFT PLAINS AND WESTERNALLEGHENY PLATEAU ECOREGIONS AND MITIGATION SITES

Mick Micacchion1

ABSTRACT

The Amphibian Index of Biotic Integrity (AmphIBI) for Ohio wetlands was previously developed usingthe amphibian communities of wetlands as indicators of overall wetland condition (Micacchion 2002). Inthat study sixty-seven wetlands representing different wetland types from the Eastern Cornbelt Plains andErie/Ontario Lake and Drift Plains ecoregions were monitored during the years 1996-2000. This reportincludes those sites as well as additional monitoring information from wetlands in the Erie/Ontario Lakeand Drift Plains ecoregion and wetlands in a new ecoregion, the Western Allegheny Plateau monitored in2001 and 2002 respectively. Existing and new amphibian community attributes were tested as metrics thatmight provide the most reliable information of the condition of the wetlands. In the end, the same fivemetrics originally selected are used and the AmphIBI continues to correlate significantly with the originaldisturbance gradient and provides a tool for determining wetland condition. A second wetlanddisturbance scale, the Landscape Disturbance Index (LDI), that measures and scores land use percentageswithin a one kilometer radius of the wetlands is also compared to wetland condition based on AmphIBIscores and the results discussed. As in the previous study, the AmphIBI works well for forested and shrubsites but there is little ability to discriminate the condition of emergent sites based on their AmphIBIscores. Emergent sites generally score low across the spectrum for several reasons including the presenceof predatory fish, improper within and around wetland habitat features for amphibians adapted to aforested landscape, and because these wetlands are often dominated by emergent vegetation due todisturbances. AmphIBI scores from ten constructed wetlands, nine of which were developed ascompensatory mitigation, are presented and discussed. A large percentage of the wetlands destroyed andfor which compensatory mitigation wetlands are developed are natural forested and shrub sites. AmphIBIscores for the constructed wetlands monitored do not compare favorably to scores of the natural sites theyare attempting to replace. Tiered Aquatic Life Uses (TALUs) for wetlands are proposed with AmphIBIscores serving as the numeric criteria for assigning the varying use designations.

______ _

1 Present address: Wetland Ecology Group, Division of Surface Water, Ohio EnvironmentalProtection Agency, 122 S. Front St., P.O. Box 1049, Columbus, Ohio 43216-1049,[email protected].

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INTRODUCTION

Amphibians have long been recognizedas sensitive indicator species of environmentalconditions (Wyman 1990, Wake 1991, Griffithsand Beebe 1992). While not all of the causesare clearly identifiable, it is thought that thisenvironmental sensitivity has lead to recentworldwide declines of amphibians. Potentialcauses include habitat loss or degradation, aciddeposition, climate warming, increases in UVradiation, spread of toxic substances, andintroduction of predators ( Sparling et al. 2002). This sensitivity to the state of the environmentmake amphibians an excellent taxa group toprovide information on environmentalconditions including those in wetlands.

Amphibians are not solely dependent onwithin wetland features to determine thesuitability of wetlands to their life needs. Mostspecies spend the bulk of their life in the uplandhabitats adjacent to the wetlands they use forbreeding. For terrestrial home ranges, thedistance away from the wetland varies byspecies. Some species such as wood frogs(Rana sylvatica), leopard frogs (Rana pipiens),red spotted newts (Notophthalmus viridescens)and others can migrate far distances and havelarger home ranges (Walker 1946, Harding2000, Pfingsten and Downs 1989, Petranka1998). However, most wetland breeding speciesstay in close proximity to the wetlands and havesmall home ranges during their terrestrial lifestages. Semlitsch (1998) estimates that 95% ofthe terrestrial habitat needs of populations ofpond breeding salamander species are meetwithin 164.3 meters of the breeding wetland’sboundaries.

Therefore, the suitability of a wetland toamphibian species is also dependent on the landuse around the wetland, and for most species,the land use in the immediate vicinity. Although for some species the composition oflarge areas of landscape surrounding wetlands isimportant in determining the fitness of thosewetlands for their breeding and other habitatneeds.

Porej et al. (2004) used information aboutamphibian species occurrence data collected atour Ohio reference wetlands in the Eastern CornBelt Plains (ECBP) (till plains) and Erie/OntarioLake and Drift Plains (EOLP) (glaciatedAllegheny Plateau) ecoregions (Omernik 1989)(Woods et al. 1998) as well as remote sensinginformation about their surrounding landscapesto develop predictive models. By analyzing theinformation about the landscapes adjacent towetlands linked to any species’ presence a greatdeal can be learned about the individual habitatneeds of that species. The models are speciesspecific and highly reliable and point out thevarying needs of the species studied.

Porej et al. (2004) found that thepresence of spotted salamanders (Ambystomamaculatum) and salamanders of the Jefferson’scomplex (A. jeffersonianum) at individualwetlands was highly correlated with the amountof forest cover within 200 meters. Whereas, forwood frogs the amount of forest within 1kilometer was the most important factor in thepresence of this species at wetlands. While theamount of forested habitat within 1 kilometerwas an important factor in the presence of red-spotted newts, the most important predictor fornewts was the distance to the nearest fivewetlands. Tiger salamanders (A. tigrinum)presence at wetlands showed no correlation tothe amount of forest in the landscape but wasnegatively linked to the total length or roadswithin1 kilometer. All of this informationconfirms that while wetland condition is animportant predictor of the composition of theamphibian community broader landscape factorsmust also be considered.

In earlier reports (Micacchion et al.2000, Micacchion 2002) the use of attributes ofwetland amphibian communities to developinitial metrics and an overall index of wetlandcondition were discussed. The index, known asthe Amphibian Index of Biotic Integrity(AmphIBI), is based on monitoring data from 67wetlands in the ECBP and EOLP ecoregionsgathered in the years 1996-2000. This reportadds to that information by including monitoring

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results from an additional 35 wetlands in theEOLP and Western Allegheny Plateau (WAP)ecoregions, as well as resampling two sites inthe ECBP ecoregion, collected during the years2001 and 2002. It also covers monitoring datafrom ten constructed wetlands monitored in2001, nine of which were developed ascompensation for wetland losses under Ohio’sClean Water Act Section 401 program.

The natural sites were monitored todetermine if the existing index would workacross a larger range of sites and to determine ifthere are ecoregional differences in theamphibian communities of wetlands in Ohiothat need to be accounted for when choosingmetrics, assigning index scores or scoring breakpoints. The constructed sites were monitored todetermine the composition of their biologicalcommunities, their levels of biological integrity,and whether they are replacing the functions lostwhen natural wetlands are eliminated throughthe regulatory process.

The additional natural wetlands sampledin the EOLP and WAP ecoregions spanned therange of human disturbance levels. Thewetlands in the EOLP ecoregion werecomparable in types and landscape positions tothe wetlands monitored there in past parts of thestudy. However, the WAP ecoregion whichaccounts for approximately one third of thestate’s land mass has wetlands with muchdifferent landscape positions then those found inother parts of the state. This can be owed to themuch older age of geologic formations giventhat this area was not glaciated during the recentice ages.

In general, isolated depressionalsystems do not occur in this ecoregion. Insteadalmost every wetland has a stream connection ofsome type. This is largely attributable to therelatively significant differences in topographywithin the ecoregion, with almost all wetlandsbeing present in the only relatively flat areaspresent, the flood plains of various orderstreams. The exception is the few completelyground water fed systems that occur on slopes inthe occasional areas of expressions. All other

wetlands have a stream as a major contributor totheir annual water budget. In my experience,almost nowhere in this ecoregion are therewetlands whose sole hydrologic contribution issurface water from an isolated watershed.

A large number of these stream-fed,flood plain WAP ecoregion wetlands havedeveloped as a result of impoundment. Beaverdams account for a large percentage of theimpoundments in the flood plains. While thebeaver dams are sometimes on the main stems oflarger streams, they are most often built onsmaller headwater tributaries in the flood plains,at or near their confluence, with the largerstreams.

Impoundments that are the result ofhuman activities are also a frequent element inthe development of wetlands in the WAPecoregion. Historically, many of the railroadsand road systems of the area have been builtthrough portions of flood plains, often parallelingsome of the major drainages. Embankmentshave been constructed to keep the railroads androadways above the level of all but the mostsevere flooding events. These embankmentsoften impound water because of the way theytrap flood waters behind them or by essentiallyreducing the size the working flood plain causingmore permanent hydrology within depressions inthe flood plain. In many places the impoundedwaters have over time resulted in thedevelopment of new wetlands.

Often beavers utilize the artificial dikes,developed when roads and railroads wereconstructed, to make their impoundments. Theyaccomplish this by plugging up areas ofconstriction or drainage ways through the dikesand backing the water up. The dikes then serveas sides of their impoundments. In some rivervalleys this has resulted in wetland complexesthat cover large acreages.

Coal mining has traditionally been adriving force in the economy of the WAP ecoregion. The sediment runoff and redepositioninto the flood plain and stream channels fromupland coal strip mining has also been acontributing factor in the development of many

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wetlands in this ecoregion. It also means that inmany watersheds acid mine drainage is apersistent pollution source of surface waterbodies. Some streams in this ecoregion havebeen so heavily impacted that they areessentially biologically dead.

The unique factors shaping wetlands inthe WAP ecoregion have significant influenceson the amphibians that inhabit them and usethem for breeding. First, 18 of the 20 wetlandswe monitored there had populations ofpredatory fish. The two sites that did not havethem were depressions in the flood plainrelatively far removed from the main channel. In one instance there is an abandoned railroadgrade that lies between the wetland and thestream and serves as a dike. The grade keepsflood waters on the stream side and does notallow them to spread into that part of the floodplain where the wetland depression is located. In the second case, the wetland is located nearthe upland edge of the flood plain and does notreceive flood waters unless there is a severeflooding event. In most years, fish have no wayto enter this wetland. Since it has seasonalhydrology, any fish present as a result of amajor flood event are eliminated when the pooldries up later that year.

Where there are predatory fish inwetlands it appears that the amphibians areoften able to coexist with them. Thiscontradicts what is widely reported in theliterature for the majority of amphibian speciesand our results from other parts of Ohio.

There are probably a couple of reasonsfor this. For many wetlands the stream inputsonly occur during flooding events. This meansthat often within a few days of the events thewaters reside and the wetlands are again isolatedfrom the stream. Our monitoring resultsindicate that relatively few predatory fish areleft in the pools after the water resides. This isprobably an adaption to flood plain conditionsby the fish. And when these individuals sensethe flood waters residing they return to thestream channel. Those few who do not respondor get stranded face the almost certain demise

brought about when the wetland pools dry up. For these types of wetlands, while predatory fishwere present, their numbers were extremely lowwith only a few individuals encounteredthroughout the monitoring season.

Even though populations of predatoryfish are present the amphibians seem to be ableto coexist and breed in these habitats. Red-spotted newts produce toxic secretions that makethem unpalatable to most predators (Kats et al.1998) (Petranka 1998). Still it is not unusual tofind marbled salamanders (Ambystoma opacum),spotted salamanders, Jefferson salamanders orwood frogs breeding in pools with predatory fishpopulations in this ecoregion. In our experience,this never occurs in the ECBP or EOLPecoregions. It is my belief that these WAPecoregion amphibian populations havehistorically utilized habitats where predatory fishexist and have adapted their behaviors according. This is coupled with the generally low numbersof predatory fish present in flood-inducedseasonal pools. These factors result in amphibianpopulations being able to maintain or increasetheir numbers through breeding activities despitethe presence of predatory fish in many WAPecoregion wetlands.

METHODS

Amphibian Community AssessmentRequired Supplies:-Flagging tape (hot pink)-Triangular ring frame dip net (#30 mesh size)-Field forceps-White collection and sorting pans-Funnel traps (window screen mesh size)-Sample containers (4oz. wide-mouth glass jars,1 liter wide-mouth plastic bottles)-Heavy duty plastic bags to carry empty plasticbottles - 10 bottles/bag/by site-Duffle bag to carry equipment and bottles infield-2" Masking tape for labeling jars and bottles-Fine point permanent marker (Sharpy)-Plastic 1 liter squeeze bottles with 95% ethanol-Preservatives (10% formalin, 95% ethanol)

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-Salamanders of Ohio (Pfingsten and Downs1989)-The Frogs and Toads of Ohio (Walker 1946)-A Key to the Anuran Tadpoles of the UnitedStates and Canada (Altig et al., in prep.)-Salamanders of the United States and Canada(Petranka 1998)

Quantitative Collection ProtocolFunnel traps are used in sampling both

the macroinvertebrate and amphibians present inwetlands. The following methods discussionpertains to the collection of both amphibiansand macroinvertebrates since the same samplingprotocols are used simultaneously to monitorthe two taxa groups. Each time a wetland wassampled we collected a quantitative sampleusing funnel traps and a qualitative samplecollected by using a dip net and by hand pickingnatural substrates.

Ohio EPA began evaluating wetlandmacroinvertebrate and amphibian samplingmethods in 1996. A variety of samplingmethods including artificial substrate samplers,several types of funnel traps, and qualitativesampling with dip nets were evaluated (seeFennessy 1998a). The use of funnel traps as amethod of sampling has been used extensivelyfor amphibians and more recently as a protocolfor macroinvertebrate collections in wetlands. A number of different kinds of funnel traps havebeen described ranging from modified two literpop bottles to custom-made designs of PVC orclear acrylic plastics to using different types ofmetal meshes.

In addition to the sampling method, thetime of year to sample, the intensity, frequency,and duration of sampling were evaluated. Atfirst it was thought that different methods wouldneed to be used for each taxa group. However,the use of window screen mesh funnel trapsproved to be affective in collection of bothamphibians as well as wetlandmacroinvertebrates. Since 1997, field collectiontechniques have become standardized and thesame protocols are used at each wetlandsampled.

For this project, funnel traps areconstructed of aluminum window screencylinders with fiberglass window screen funnelsat each end. The funnel traps are similar indesign to commercially available minnow traps. However, the use of window screen, with itssmaller mesh, makes the traps better able tocollect a wide range of sizes of larval amphibiansand macroinvertebrates. Aluminum screening isused for the cylinders to provide maximumstructure and fiberglass screening is used for thefunnels to allow flexibility to ease funnelinversion and eversion.

The aluminum screen cylinders are 18"long and 8" in diameter and held together withwire office staples. The bases of the fiberglassscreen funnels are 9" in diameter and attachedwith wire staples to both ends of the cylindersuch that the funnel directs inward. The funnelshave a circular opening in the middle that is1.75" in diameter which serves as the means ofentry into the trap. We have also developed asmaller version of the trap that is 5 inches indiameter for use in wetlands with naturallyshallower water depths and in other wetlands asthey are drying up. When these are used the datais adjusted to account for the smaller surface areaof the traps’ funnel ends and the correspondingexpected decrease in trapping productivity.

In the typical application, 10 funnel trapsare placed evenly around the perimeter of thewetland. This is done by first pacing around thewetland perimeter to provide a measure of thetotal wetland perimeter (with practice pacing canbe a highly reliable measuring technique). Timecan be saved if the perimeter of the wetland canbe determined in advance using aerial photos,topographic maps, plans or other information.The perimeter total is then divided by 10 and atrap is placed each time that amount is paced offwhile traversing the perimeter for the secondtime.

Alternatively, for large wetlands orwhere the placement around the entire perimeteris not feasible (slopes too steep, water too deep,etc), transects along one or several sides of thewetland are used. Also, in some years larger

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wetlands were monitored with more than 10traps (12-20). Care should be taken to assurethat all habitat types within the wetland arerepresented proportionally within the transect.

Each funnel trap location is markedusing flagging tape both at the standingwater/saturated soil interface and in vegetationabove or near the trap. Since flagging is appliedbefore the growing season it is important that anattempt be made to place it where it will not beobscured by new vegetation growth during thelater passes. Flagging is numbered sequentiallyusing a permanent marker and traps are set atthe same locations throughout the samplingseason. Numbering the flagging serves as anaid to navigation both during deployment andretrieval, especially in heavily vegetated sites,and as further confirmation that all traps areaccounted for and placed in the same locationeach sampling pass. If vegetation is extremelydense a hand held GPS unit can be used torecord and navigate to trap locations.

Each wetland was sampled three timesbetween March and early July spacedapproximately six weeks apart. The latewinter/early spring (March-early April) sampleallows monitoring of adult ambystomatidsalamanders, early breeding frog species andmacroinvertebrates such as fairy shrimp, caddisfly larvae, some microcrustaceans and otherearly season taxa which are often present for alimited time in some wetlands.

Adult salamanders enter wetlands tobreed following the first few warm, rainy nightsof late winter to early spring. The actual timingof their arrival is highly weather dependent andvaries greatly by year and location. The timingof amphibian breeding runs can also varygreatly from south to north within the state, withsouthern populations in some years breeding upto several weeks before northern populations. Ideally, one should closely monitor the weatherand begin monitoring when it seems appropriateor when adults are first observed at the pools. However, this is not practicable whenmonitoring a large number of sites. In thoseinstances average dates of the beginning of

amphibian breeding for that region can bedetermined and this should be the target forscheduling the start of that year’s monitoringefforts with adjustments made in accordance withamphibian breeding behaviors that year.

A middle spring sample (late April-midMay) is conducted in order to collect some adultfrog species entering the wetland to breed, tosample early-breeding amphibian larvae and tosample for macroinvertebrates. A latespring/early summer (early June-early July)sampling is performed to collect relatively welldeveloped amphibian larvae andmacroinvertebrates.

The traps are placed on the substrates ofthe wetland and the trap is almost completelysubmersed. Traps are placed to allow someexposure of air into the upper part of thecylinder. This protocol works to reduce trapmortality by allowing, those organisms that needit, access to fresh air. Placement to alloworganisms access to atmospheric oxygenbecomes more important as the seasonprogresses, water temperatures rise and oxygenlevels in the water decrease. Traps can be placedin shallower water as long as the funnel openingsremain immersed during the sampling period. Inall cases, the traps are left in the wetland fortwenty-four hours in order to ensure unbiasedsampling for species with diurnal and nocturnalactivity patterns. Limiting trapping time totwenty-four hours also works to minimize thepotential for mortality due to individuals being inthe traps for extended periods.

No bait is used in traps. These areactivity traps and designed to collect anyamphibians or macroinvertebrates that swim,crawl or float into the funnel openings. Due tothe shape of the funnel ends, once an individualorganism is inside a trap, it is difficult toimpossible for it to make its way back out.

Since the traps are modeled aftercommercially available minnow traps they alsoare effective in capturing fish. So in addition toamphibians and macroinvertebrates, informationon the fish taxa trapped is also recorded. Thetaxa of fish present are often valuable in

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explaining trends in the amphibian andmacroinvertebrate communities and maythemselves be indicators of wetland condition ortype.

Upon retrieval, the traps are emptied byeverting the funnel and shaking the contents intoa white collection and sorting pan. Organismsthat can be readily identified in the field(especially adult amphibians and larger andeasily identified fish) are counted and recordedin the field notebook and released. Theremaining organisms are transferred to wide-mouth one liter plastic bottles by washing themout of the collection and sorting tray into thebottles using a plastic squeeze bottle filled with95% ethanol. The collection pan is thenthoroughly rinsed with water from the wetlandto remove any trace of alcohol that mightadversely affect amphibians to be released fromthe next trap collection.

Before leaving the field, if needed,generally at the field vehicle, bottles aresupplemented with additional 95% ethanol inproportion to the number of individualscollected. The contents of each trap are kept inseparately marked bottles for individual analysisin the laboratory. If large numbers ofamphibians and/or fish are kept foridentification in the lab, those samples aretopped off with 10% formalin in the field tomaximize the preservation of identificationfeatures.

Laboratory analysis of the funnel trapmacroinvertebrate and fish samples follows thestandardized Ohio EPA procedures (Ohio EPA1989). Salamanders and their larvae areidentified using keys in (Pfingsten and Downs1989) and (Petranka 1998). Frogs, toads andtadpoles are identified using keys in (Walker1946) and (Altig et al., in prep.).

Qualitative Collection ProtocolQualitative collections of

macroinvertebrates and amphibians are madeconcurrently with funnel trapping at eachwetland during the three sampling periods. Itshould be pointed out that these qualitative

protocols are targeted at sampling themacroinvertebrate community. Whileamphibians are often collected in this process,and on a few occasions species have beenobtained that were not collected by the funneltraps, use of this method does not seem necessaryto adequately sample the amphibian communityand develop an index.

Qualitative sampling involves thecollection of macroinvertebrates and amphibiansfrom all available natural wetland habitatfeatures using triangular ring frame dip nets,collection and sorting trays and also by manualpicking of substrates and woody debris withfield forceps. Dip net sweeps are made in allhabitat types where possible. The collection andsorting tray is often used as a repository for dipnet contents to aid in examination and can itselfbe dipped into the water to yield a sample . Woody debris and other substrate materials aremanually collected, searched and picked throughwith the aid of the forceps or by hand. The goalis to compile a comprehensive species/taxainventory of macroinvertebrates and amphibiansat the site. At least one individual of each taxaencountered will be collected or recorded. Thereis no attempt to quantify absolute organismdensities although observed predominantpopulations will be noted.

Generally, one field crew member willcollect the qualitative sample while another crewmember deploys or collects the funnel traps(qualitative sampling may occur on either the dayof trap deployment or retrieval). A minimum ofthirty minutes will be spent collecting thequalitative sample. Sampling will continue untilthe field crew determines that further samplingeffort is not likely to produce new taxa. Samplesare deposited in 4 ounce wide-mouth glassbottles marked as qualitative samples andpreserved with 95% ethanol. The qualitativefield collection and laboratory analysis of thesesamples for macroinvertebrates and fish willfollow the standardized Ohio EPA procedures(Ohio EPA 1989). Salamanders and their larvaewill be identified using keys in (Pfingsten andDowns 1989) and (Petranka 1998). Frogs and

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tadpoles will be identified using keys in (Walker1946) and (Altig et al., in prep.).

Laboratory MethodsUpon submission to the laboratory, all

funnel trap and qualitative samples are assigneda unique lab number for tracking purposes. Thecontents of each funnel trap are processedindividually so that each site has ten quantitativesamples to process for each of the threecollection dates. Samples preserved in 10%formalin are washed with water under a hoodand transferred to 70% ethyl alcohol before thecontents are identified.

All organisms within each funnel trapsample are identified and counted. Allindividuals from each trap are stored in thesame 4oz. wide-mouth glass jar. Jars arelabeled by site, date and trap number placed onshelves and stored at Ohio EPA’s GroveportField Facility. The numbers of each taxa in eachtrap are entered into our database along with theduration of the trapping effort so that relativeabundance, number of individuals per hour oftrapping, and other attributes can be calculated. Statistical Analyses

Minitab v. 12.0 was used to perform allstatistical tests. Regression analysis, analysis ofvariance, Tukey’s multiple comparison test,correlation coefficients, and t tests were used toexplore and evaluate the biological attributesmeasured for development of an amphibianindex of biotic integrity.

SITE SELECTION

This report includes the results collectedfrom wetlands reported on in earlier reports(Micacchion et. al 2000, Micacchion 2002) aswell as an addition 35 wetland and two sitesfrom the ECBP ecoregion that were resampledin 2001. The 35 new wetlands are made up of15 from the EOLP ecoregion and 20 from theWAP ecoregion. Natural wetlands wereselected from five hydrogeomorphic classes andall three major vegetation types: forested, shrub

and emergent. Additionally, data from 10 constructed

wetland sites were collected, evaluated andcompared to natural wetland systems. All butone of these constructed sites was built asmitigation to compensate for permitted wetlandlosses. In all, 111 wetlands are included in thisreport. Various means were used to locatenatural wetlands. Several field biologists fromaround the state were consulted about wetlandsthey knew in the state or their area. Additionally,we meet with numerous staff from landprotection/management organizations to gatherinformation about wetlands on their landholdings and nearby areas. We also conductedexhaustive reviews of maps, aerial photos andGIS databases as well as driving roads in thestudy areas to locate wetlands that might meetour study goals.

The Ohio Rapid Assessment Method forWetlands Version 5.0 (ORAM 5.0) (Mack 2001)was used to determine the degree of disturbanceexperienced by natural wetlands in our data set. As in the past natural wetlands spanning therange of disturbance levels, from least impactedto severely disturbed, were sampled. Forestedand shrub wetlands that had experienced morethan moderate levels of disturbance weredifficult to locate especially in the WAPecoregion. All wetlands located that hadexperienced severe disturbance were dominatedby emergent vegetation. In many cases, theabsence of woody vegetation was a result of thedisturbances the wetlands had received.

ORAM 5.0 questions are designed tomeasure a wetland’s biological and functionalintegrity and provide a rating of the overallcondition. ORAM 5.0 is comprised of sixmetrics that are measured and scored and thensummed to provide a composite score for thewetland. The six metrics evaluated are: wetlandarea: upland buffers and surrounding land use,hydrology (sources and intactness); habitatalteration and development; special wetlands(pre-identified high quality and rare wetlandsystems receive extra points and extremely low

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quality sites lose points); and plantcommunities, interspersion, andmicrotopography. This rating can be performedrelatively rapidly, usually in less than an hour, ifthe rater is familiar with the wetland beingscored.

In Ohio, ORAM 5.0 is used to score andplace wetlands into antidegradation categoriesfor regulatory reviews. There are a possible 100points and breaks for the antidegradationcategories are as follows: Category 1 (lowquality, low functional levels, low biologicalintegrity) - 0 to 29.5; Category 2 (moderatequality, moderate functional levels, moderatebiological integrity); 35 to 59.5; and Category 3(superior quality, superior functional levels,superior biological integrity) - 65 to100. Scoresin the range 30 to 34.5 and 60 to 64.5 representthe “gray zones” between categories. When awetland receives a score within the “gray zones”the higher category is assigned unless moredetailed information is provided that makesclear the appropriate category assignment. Atypical use of the biological indices we havedeveloped would be to provide the informationto confirm wetland category assignments.

The Landscape Development IntensityIndex (LDI) (Brown and Vivas 2004), was alsoused as an alternative, quantitative humandisturbance scale. The LDI is calculated bymultiplying land use percentages with aweighting factor derived from the amount ofsupplemental "emergy" needed to maintain thatuse, where “emergy” has a unit of solar emergyjoule (sej) or sej/ha*yr-1 (Brown and Vivas2004) (Odum 1996). The equation forcalculating the LDI is,

LDITotal = 3 %LUi * LDIi

where, LDITotal = the LDI score, %LUi = percentof total area in that land use I, and LDIi =landscape development intensity coefficient forland use I. More intensive land uses receivehigher LDI coefficients with a range of 1(natural system) to 9.42(urban).

The %LUi was calculated with

landscape composition data from the NationalLand Cover Database (NLCD) using ArcView v.3.2 (ESRI 1999) to obtain land compositionpercentages within a 1 km radius circle of eachwetland sampled. Brown and Vivas (2004)report emergy coefficients for 27 land use classesusing a Florida land use classification system. This number of land uses is many more classesthan are used in the NLCD classification. Emergy coefficients were assigned to the NLCDclasses in our study area as follows: forest,wetland forest, emergent wetland = 1.00; water =1.00; pasture = 3.41; row crop = 7.00; suburban7.55; rock, transitional = 8.32, urban = 9.42.

The LDI has been calculated for a 1kilometer radius watershed around each wetlandmonitored. This disturbance metric is comparedto individual metrics and the overall AmphibianIndex of Biotic Integrity as a second humandisturbance gradient.

RESULTS AND DISCUSSION

Numerous attributes of the amphibiancommunities of the wetlands sampled wereconsidered as possible metrics in thedevelopment of the Amphibian Index of BioticIntegrity (AmphIBI) (Micacchion 2002). Asdiscussed many of the attributes of other taxagroups that have resulted in meaningful metricsdid not work for wetland amphibiancommunities. Total taxa richness of otherindicator groups has been shown to be a commonmetric that has a positive relationship to theintactness of a resource. However, for our dataset the overall taxa richness of a wetland’samphibian community has no correlation to theamount of disturbance that wetland has receivedor its level of functional integrity. Moreimportant then taxa richness are the types ofspecies and relative abundances that comprise theamphibian community. That the total number ofamphibian species that inhabit or breed in Ohiowetlands is small (about 20 species) limits thenumber of attributes of the community that might

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yield useful metrics. This greatly reduces thepotential to use the types of family, genus,trophic level and various other grouping metricscommonly used in other IBIs for a wetlandamphibian index.

With most indices of biotic integrity forother taxa groups there are at least one or twometrics that deal with exotic species and theirpresence as indicators of disturbance and insultsto biological integrity. Ohio has no exoticamphibian species. Given the detrimentalaffects of exotic species on ecosystems, the factthat Ohio amphibians may be the one of the fewtaxa groups where no exotics exist isundoubtably a positive. However, the lack ofexotics further limits the possible attributes thatmight result in metrics.

Additional attributes that might serve asmeaningful metrics were examined during dataanalysis. None were identified that showedpromise to serve as new metrics. In the end thesame five attributes of the amphibiancommunity used in Micacchion (2002) wereselected as the metrics that comprise theAmphIBI. The metrics are: 1.) the AmphibianQuality Assessment Index (AQAI); 2.) numberof species of pond-breeding salamanders; 3.)relative abundance of sensitive taxa; 4.) relativeabundance of tolerant taxa; and 5.) presence ofspotted salamanders and/or wood frogs.

Amphibian Quality Assessment IndexAs reported earlier (Micacchion et al.

2000, Micacchion 2002) an amphibian indexknown as the Amphibian Quality AssessmentIndex (AQAI) has been developed for wetlands. This is modeled after indices that have beendeveloped utilizing plants to give informationon the overall condition of a resource (Andreasand Lichvar 1995, Wilhelm and Ladd 1988,Swink and Wilhelm 1979) and commonlyreferred to as floristic quality assessmentindices. In a similar manner we have used thevarying sensitivities to disturbance and otherhabitat requirements to place wetland breedingamphibian species within a range of coefficientsof conservatism © of C) from 1 to 10. Since no

non-native amphibians have been documented asreproducing in the wild in Ohio nor have weencountered any during our monitoring nospecies are assigned a C of C of 0. Lower C ofCs are assigned to those species that are adaptedto a greater degree of disturbance and a broaderrange of habitat requirements (niche). Thosespecies assigned higher C of Cs are considered tobe sensitive to disturbance and have narrowerniches. The C of Cs were assigned afterreviewing numerous texts, especially those thatinclude Ohio data, about the autecology of eachspecies and based on the experience of theresearchers involved in this project both throughthe years of this study and throughout theircareers. The species encountered in wetlands,their C of Cs and supporting rationale arecontained in Table 1. Species have been addedsince the last report as a result of their occurrenceat wetlands we have monitored in the past severalfield seasons.

As calculated for this study, the AQAI isa weighted index that not only takes into accountthe sensitivity to disturbance of the individualspecies at a wetland but also includes the numberof individuals of each species collected. In doingso the AQAI results in a score that providesinformation on the overall condition of theamphibian community present and allows forcomparisons among wetlands. Ideally the AQAIshould represent composite monitoring from atwenty-four hour period for each of the threesampling runs. Our sites have all been monitoredfor approximately that time period but may varyby up to a few hours. These variations are aresult of the logistics of monitoring several siteswithin the same two day time frame. Tocompensate for this the AQAI can be adjusted byusing the number of individuals per trap hourrather than just the number of individualscollected. Comparisons of the AQAI resultsusing both methods were so small as to beinsignificant. Therefore, the results from

the number of individuals collected is used forthe calculations in this study.

The index is developed by first summing

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Table 1. Wetland Amphibian Coefficients of Conservation and Rationale

species CofC rationale

Ambystoma jeffersonianum complex(includes ambystomatid hybrids)

5 Jefferson salamanders and associated hybrids require relatively intact wooded habitatadjacent to breeding pools with low to moderate levels of disturbance

Ambystoma opacum 9 Marbled salamanders require intact mature woods surrounding vernal pools that fillin the late fall/early winter

Ambystoma maculatum 8 Spotted salamanders have only been collected in least disturbed wetlands ormoderately disturbed wetlands where disturbance has been recent

Ambystoma texanum 4 Smallmouth salam anders are the m ost ubiquitous of the ambystomatid salamandersand will tolerate wetlands with relatively short hydro-periods

Ambystoma tigrinum 6 Tiger salamanders have been found in a range of wetlands with pools that are deepand long lasting with nearby uplands that are reasonably intact

Ambystoma latera le 10 Blue spotted salamanders, listed as state “endangered” due to their extremely limitedrange, are only found at a few sites in extreme NW Ohio

Hyla versicolor and Hyla chrysoscelis 5 Tree frogs require some areas of shrubs or trees adjacent to breeding pools and areless tolerant of other disturbances than most anurans

Bufo spp. (Bufo americanus and Bufofowerli tadpoles are indistinguishable)

1 American and Fowler’s toads require little except enough water to allow for the irshort reproductive cycle and will tolerate distu rbances other amphib ians canno t

Hemidactylium scutatum 10 Four-toed salamanders are listed as state “special interest” and have a high fidelity toundisturbed forested vernal pool sites with woody debris and sphagnum moss

Notophthalmus viridescens 9 Red spo tted newts are ex tremely into lerant of disturbance and are found only in wellbuffered intact wetlands for (much more abundant in the WAP ecoregion than otherecoregions of Ohio)

Rana catesbeiana 2 Bullfrogs which are widely spread, are m ost common in marshes, but can be found inforested and shrub sites and are tolerant of most disturbances

Rana clamitans melanota 3(2) Green frogs are found in a wide range of wetlands and are tolerant of mostdisturbances (consideration is being given to lowering this species’ tolerancecoefficient)

Rana palustris 7 Pickerel frogs prefer clear, cool streams and areas of groundwater expression andhave only been collected at a few of our least impacted sites

Rana pipiens pipiens 2 Leopard frogs breed in a range of sites, the main requirement is enough water fortheir breeding cycle and some suitable adjacent habitat

Rana sylvatica 7 Wood frogs are dependent on forested wetlands and adjacent areas and require poolswithin a landscape of minimal disturbance

Pseudacris crucifer 2 Spring peepers breed in a range of sites, main requirement is enough water forbreeding cycle and some suitable adjacent habitat

Pseudacris triseriata &Pseudacris brachyphona

3 Western and mountain chorus frogs are slightly less tolerant of disturbance than theclosely related P. crucifer

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the number of individuals from all speciestrapped at a wetland to develop a total. Next thenumbers of individuals of each species ismultiplied by its corresponding C of C to yield asubtotal for each species. The subtotals for eachspecies are then added together to yield a secondtotal. The second total is then divided by thefirst total to derive the AQAI for that wetland. This index represents the average C of C ofindividual amphibians trapped at that wetlandthroughout the sampling season (informationfrom all three passes is totaled). The equationfor the AQAI is shown below. Calculation ofthe AQAI for a hypothetical forested vernal poolwetland is shown in Table 2.

The WAP Ecoregion, Eastern Red-Spotted Newtsand Marbled Salamanders

The most significant difference in thecomposition of the amphibian communities inthe Western Allegheny Plateau wetlands whencompared to the rest of the state is thedistribution and abundance of eastern red-spotted newts (Notophthalmus viridescensviridescens). In the rest of the state thisamphibian species is extremely rare resulting inthe assignment of a C of C of 9 to this species. In the WAP ecoregion wetlands sampled thisspecies was present at 19 of the 21 sites. Whereas at 82 sites sampled in the ECBP andEOLP ecoregions newts only occurred at 10sites.

The dependence of newts on areas ofcontiguous forest habitat is well documented(Petranka 1998, Harding 1997). This isespecially important for this species becausethere is a juvenile stage called a red eft thatspends up to several years in terrestrial habitatsbefore it matures and returns to the pools. Pfingsten and Downs (1989) report that red-spotted newts are far more numerous in theunglaciated southern and eastern portions ofOhio. Porej et al. (2004) also found that red-spotted newts were negatively associated withthe average distance to the nearest five wetlands. Given the red-spotted newt’s life historyand the far ranging behavior of this species, it is

understandable that the WAP with its largelyforested landscape interconnecting individualwetlands would have a higher number of sitesthat meet the newt’s life strategy requirements.

Marbled salamanders were far more common atwetlands in the WAP ecoregion then at sites wehave monitored in other ecoregions of the state. This observation is not surprising since the largemajority of this species’ range is withing theWAP ecoregion, especially the southern part(Pfingsten and Downs 1989, Conant and Collins1998, Petranka 1998).

Marbled salamanders also rely heavilyon a forested landscape as appropriate habitat,especially bottomland hardwood forests, and aswith the red-spotted newt are more likely to befound where higher percentages of forestedlandscape exist (Pfingsten and Downs 1998,Petranka 1998). We collected larvae of thisspecies at 7 of the 21 wetlands we monitored inthe WAP. Larvae were already present duringthe first sampling pass and were collectedthroughout the sampling season. Those larvaecollected during the third pass were welldeveloped and near to completelymetamorphosed.

The presence of red-spotted newts atmost emergent sites monitored in the WAPecoregion elevated their AmphIBI scores whencompared to emergent sites from the ECBP andEOLP ecoregions. One way to address thisinflation of the WAP sites AmphIBI scores duethe relative abundance of red-spotted newts andmarbled salamanders might be to differ the C ofCs of these two species by ecoregions. However, for forest and shrub wetlands theoverall AmphIBI scores correlated well withdisturbance levels as measured by ORAM 5.0.(Figure 6). Therefore, the previously assigned Cof Cs for these two species were left unchanged.

Amphibian Quality Assessment Index (AQAI)Graphics for this metric are in Figure 1.

Plotting AQAI scores versus ORAM 5.0 showsthat for most cases as disturbance increases(lower ORAM 5.0 scores) the AQAI scoresdecrease. Below ORAM 5.0 scores of

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Table 2. Calculation of AQAI for a hypothetical forested vernal pool.

SpeciesNumber ofIndividuals

Coefficient ofConservatism Subtotals

Ambystoma maculatum 50 8 400

Ambystoma jeffersonianum 30 5 150

Ambystoma texanum 20 4 80

Notophthalmus viridescens 25 9 225

Pseudacris crucifer 30 2 60

Hyla versicolor 20 5 100

Rana pipiens pipiens 30 2 60

Rana clamitans melanota 2 3 6

Totals 187 – 1081

AQAI = SUM (individual species numbers X species’ C of C) total number of amphibians

AQAI = 5.79 (1081/187)

approximately 50 the AQAI scores decreasesignificantly. It appears this level of humandisturbance presents a threshold above which theamphibian community is very negativelyimpacted.

When the AQAI is compared to ORAM5.0 score tertiles (ORAM 5.0 scoring breaksbased on thirds; 0-33; 33.5 -67; and 67.5-100)good separation is demonstrated and the meansof the second and third tertiles are significantlydifferent than the mean of the first tertile atp=<0.001. In the third graph it can be seen thatas human disturbance increases, as reflected inhigher LDI scores, a general trend of lowering ofAQAI scores is observed.

Relative Abundance of Sensitive Species Graphics for this metric are in Figure 2. This metric demonstrates important differencesamong the wetlands monitored. Sensitivespecies are those species that been assigned a C

of C of 6 or higher. For disturbed sites relativeabundances of sensitive species are very low. All are below 10% with the majority scoringmuch lower. The relationship is somewhatcurvilinear and only when wetlands that arereasonably intact are sampled (generally aroundORAM 5.0 scores of the mid-50s) do relativeabundances of sensitive species exceed 10%.

When the sites are grouped based onORAM 5.0 tertiles. The first tertile is dominatedby communities with extremely low relativeabundances of sensitive species. The third tertileis dominated by amphibian communities wherethe relative abundance of sensitive species isabove 50%. The means of the three tertiles aresignificantly different than each other atp=<0.001 and this metric provides goodseparation between groups. Additionally, thedifferences between sites in the first tertile(severely disturbed sites) and those in the thirdtertile (minimally disturbed sites) is very

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marked. This ability to distinguish between thetwo extremes makes this attribute of theamphibian community a strong metric (Karr andChu 1999). There is a very general trendrepresented in the plot of LDI scores versus thismetric that as disturbance increases the relativeabundances of sensitive species decrease.

Relative Abundance of Tolerant Species The graphics for this metric are inFigure 3. Tolerant species are species that havebeen assigned a C of C of 3 or less. Plotting therelative abundance of tolerant species of sitesagainst their ORAM 5.0 scores shows someinteresting relationships. First, the sites on thedisturbed end of the scale (ORAM scores <45)all have amphibian communities that haverelative abundances of tolerant species greaterthan 60% with most having a much higherpercentage. Secondly, once an ORAM score inthe high 60s is reached (a level of highfunctional intactness), those sites have less than45% of their of the amphibian communitiesdominated by tolerant species. Also, themajority of the minimally disturbed sites haverelative abundances of tolerant species that ismuch lower than 45%. Looking at the range of scores based onORAM tertiles (thirds) shows good separationbetween groups. The means of the three tertilesare all significantly differently than each other. Additionally, there is strong separation betweenthe relative abundances of tolerant species at thesite in the first tertile (severely disturbed sites)and those in the third tertile (minimallydisturbed sites).

Plotting the relative abundance oftolerant species found at sites against the LDI(1km) does not result in a strong relationship. Likely this result indicates that the factorsaffecting this attribute are working at a smallerscale than 1km.

Number of Species of Pond-breedingSalamanders The graphics for this metric are inFigure 4. The number of pond-breeding

salamander species present is an attribute thatworks well to separate sites based on theircondition (Micacchion 2002). We have found arange of from zero to five species at wetlands wehave sampled. Analysis of the data from theadditional wetlands monitored in 2001 and 2002still show that more than two species ofsalamanders are only found at sites that arerelatively intact. We do not find three or morespecies at sites until they score in the mid-50s(reasonably intact) and most of the sites withthree or more species have much higher ORAM5.0 scores.

Plotting this metric versus ORAM 5.0tertiles provides good separation especiallybetween the first and third tertiles. Plotting thismetric against the LDI does not provide a strongrelationship. It appears that some of theimportant factors affecting this metric areworking at a smaller scale then one kilometer.

Presence of Spotted Salamanders and/or WoodFrogs Graphics for this metric are in Figure 5. As reported in Micacchion (2002) for shrub andforested wetlands spotted salamanders and woodfrogs are good indicators of relativelyundisturbed conditions. Porej et al. (2004) alsofound that both of these species are positivelyassociated with the amount of forest within200m of breeding wetlands and that there is alsoa positive relationship between the amount offorest within 1km and the presence of woodfrogs. The elimination of large contiguousforested areas in much of the ECBP ecoregionappears to be the major limiting factor to thepresence of wood frogs within their historicrange (Walker 1946, Davis and Menze 2000).

When the relative abundances of spottedsalamanders and/or wood frogs is plotted againstORAM 5.0 scores several results are apparent. Neither species occurs at sites that are severelydegraded and there are only a few occurrences atsites that are moderately disturbed. A largemajority of the sites that do have either or bothspecies present are considered to be “referencecondition”, that is, sites where there are no easily

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detectable signs of human disturbance. Plottingthis metric versus ORAM 5.0 tertiles providessome interesting results. Neither species showsup in sites within the first tertile (severelydegraded sites). While these species do show upin sites in the second tertile the greatest relativeabundances are in sites from the third tertile. Plotting this metric against the LDI does notprovide a strong relationship.

Because of the high levels of intactnessof wetlands where one or both of these speciesoccur this attribute serves as an excellent metric. Different than the other metrics that comprisethe AmphIBI this metric has only two possiblescores. Wetlands without the presence of eitherof these two species score zero whereas wetlandsthat are habitat for one or both species score ten.

Amphibian Index of Biotic Integrity (AmphIBI)The scoring breakpoints for the metrics

that make up the AmphIBI are summarized inTable 3. The scoring protocol for the presenceof spotted salamanders and/or wood frogs metricis discussed in that metric’s section. Thebreakpoints for the other four metrics wereestablished by mathematically quadrasecting thedata values for the metrics. If the breakpointscorresponded to what appeared to be theecological breakpoints those values were used. This worked for two of the four metrics, for theother two, breakpoints were drawn where thereappeared to be ecological differences in the datavalues.

Graphics for the AmphIBI are in Figures6, 7 and 8. Plotting the AmphIBI scores againstthe ORAM 5.0 disturbance gradient scores forthe forested and shrub wetlands shows a strongcorrelation (Figure 6). Plotting the scores basedon ORAM 5.0 tertiles provides good separationbetween groups. Plotting ORAM scores againstthe LDI shows somewhat of a threshold affect. Once LDI scores of sites reach approximately 5the corresponding AmphIBI scores dropmarkedly, with the exception for a few outlierson both extremes.

When AmphIBI scores are plottedagainst the ORAM 5.0 metrics that measure

disturbance directly (buffer widths, surroundingland use and hydrology, substrate and habitatintactness) (39 possible points) a strongerrelationship than comparing the AmphIBI scoresto the composite ORAM 5.0 scores isdemonstrated (Figure 7, first graph).

The study sites along with informationon their ecoregions, vegetation and HGMclasses, metric, AmphIBI and ORAM 5.0 scoresappear in Table 4.

Wetland Tiered Aquatic Life Uses (TALUs) Mack (2004) proposed Tiered Aquatic

Life Uses (TALUs) for wetlands based on theirVIBI scores, ecoregion, landscape position andplant community. Based on how the AmphIBIscores plot against the disturbance gradients Iam proposing preliminary TALUs for wetlands. Wetlands with AmphIBI scores less than 10would comprise the Limited Wetland Habitat(LWLH) aquatic life use. Restorable WetlandHabitat (RWLH) would be assigned to sites thatscore between 10 and 19. Wetland Habitat(WLH) would be assigned to those sites thatscore between 20 and 39. Superior WetlandHabitat (SWLH) would be assigned to thosesites that score 40 or above.

Wetland Vegetation ClassesAs reported in Micacchion (2002) only

amphibian communities of shrub and forestedwetlands showed responses that correlated withdisturbance levels. Conversely the emergentcommunities only scored in the lower levels ofAmphIBI scores (26 of 27 sites with AmphIBIscores <20). Additional attributes of theamphibian communities of emergent wetlandshave been examined and plotted against thedisturbance scales. However, responses are flat and offer no promise as additional metrics thatmight allow for separation of emergent sitesusing an amphibian index. These results indicate

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Table 3. Scoring breakpoints for assigning metric scores for AmphIBI.

Metric Score 0 Score 3 Score 7 Score 10

AQAI <3.00 3.00 - 4.49 4.50 - 5.49 > 5.5

Rel. Abundance SensitiveSpp.

0% .01 - 9.99% 10 - 49.99% > 50%

Rel. Abundance TolerantSpp.

>80% 50.01 - 79.99% 25.01 - 50% < 25%

# of Pond-BreedingSalamander Spp.

0 -1 2 3 > 3

Spotted Salamandersand/or Wood Frogs

absent - - present

that amphibian communities of emergentwetlands do not vary significantly enough with different levels of disturbance to use them forpredictors of condition for this class of wetlands.

With this expanded data set the sameresult is supported (Figure 7, second graph). Ascan be seen for the forested and shrub wetlandsthere are changes in ORAM scores throughout the range of disturbance. However, only fouremergents sites score higher than 20 on theAmphIBI. This includes the one ECBPecoregion site from the original 27 sites plusthree additional sites from the WAP ecoregion.

The ECBP site as discussed inMicacchion (2000) has a breeding population oftiger salamanders (Ambystoma tigrinum) © of Cof 6) and few other amphibians in its community. This breeding tiger salamander population resultsin the site's AmphIBI score being much higherthan its vegetation community type ordisturbance level would predict. The other threesites that have AmphIBI scores greater then 20are from the WAP. As presented in the AQAIresults section, it is the presence of red-spottednewts in WAP emergent sites that inflates theAmphIBI scores of those wetlands.

So with the exception of these four sites,

all of the emergent sites in this study score lessthan 20 on the AmphIBI. This small range ofpossible scores seen for emergent wetlandslimits the ability to differentiate among thembased on their AmphIBI scores. There areseveral possible explanations why the amphibiancommunities of emergent sites generallyrepresent a lower quality.

First, most of Ohio’s sensitiveamphibian species are adapted to living withinwetlands that have seasonal hydrology and are inlandscapes that are largely forested. Brooks(2004) has noted this same reliance in NewEngland wood frog and spotted salamanderpopulations. These amphibians are dependenton the adjacent forested terrestrial habitat formost of their adult lives and this habitat is morelikely to be found adjacent to forested wetlands.

The more permanent hydrology of mostemergent sites favors generalists like thebullfrog (Rana catesbeiana) and green frog(Rana clamitans melanota) which require atleast two seasons for their larvae tometamorphose (Walker 1946) and can coexistwith predatory fish and other predators. Also,these two species along with other tolerantamphibian species such as leopard frogs (Rana

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pipiens pipiens), spring peepers (Pseudacriscrucifer), western chorus frogs (Pseudacristriseriata), mountain chorus frogs (Pseudacrisbrachyphona) and toads (Bufo spp.) are adaptedto living in a wide range of conditions includingthose habitats that are highly degraded.

Further, many emergent wetlands aredominated by an emergent community becausethey have experienced severe disturbances in therecent past. Ohio was 95% forested prior toEuropean settlement (Lafferty 1979) thereforehistorically you would expect no more than 5%of the landscape to have been populated byemergent vegetation communities includingwetlands, most typically in large marsh or wetprairie expanses. There is a high likelihood thatan emergent site is dominated by that type ofvegetation today because of disturbance that hasset it back on the successional trajectory.

As well as often being withinsurrounding land uses that are incompatible toamphibian habitat needs emergent wetlands alsogenerally lack the within wetland habitat featuresfavored by sensitive amphibian species. Asdiscussed, prime among these is an environmentthat is free of predatory fish.

Additionally, many pond-breedingamphibian species are adapted to specific habitatfeatures. These include substrates covered withlayers of leaf litter in different stages ofdecomposition, the presence of ample woodydebris provided by live woody vegetation,typically provided by buttonbush, (Cephalanthusoccidentalis) or other similarly structuredwetland shrub species and dead fallen twigs,branches and trunks (Egan and Paton 2004). Also a shade cover provided either by a canopyof shrubs or trees is preferred to supply theimportant cooler, moister microclimates requiredby most amphibian species. All of these featuresare lacking in the majority of emergent systems.Their absence often limits the potential ofemergent wetlands to host sensitive amphibianspecies such as most of the pond-breedingsalamander species, wood frogs and pickerelfrogs.

For these reasons, the AmphIBI should

only be applied to shrub and forested sites withtemporary to semi-permanent hydroperiods,known as vernal pools. For calculation ofmetrics and overall AmphIBI scores the shruband forest sites have been combined.

Hydrogeomorphic ClassesWetlands from 5 hydrogeomorphic

(HGM) classes (Brinson 1993) were sampled fortheir amphibian communities. This includedwetlands in the depressional, riverine,impoundment, slope and coastal landscapepositions. The wetland study sites, separated outby their HGM classes, are plotted showing theirAmphIbI versus their ORAM 5.0 scores (Figure7, bottom graph). Wetlands that comprised theset of forested and shrub sites used to developthe AmphIBI were from the depressional,riverine, impoundment and slope HGM classesbut were highly dominated by those in thedepressional class. The two impoundments wereoriginally riverine sites that had beenimpounded, in one case by beavers and in theother by a railroad grade. The slope site was adifficult wetland to assign to a single HGM classand had elements of depressional, riverine andslope features. The riverine sites weredepressions within various elevations of streamflood plains.

Wetland SizeWhen the AmphIBI scores for the

woody sites are broken out by ORAM 5.0 sizeclasses there is no significant difference betweenthe means of the groups (Figure 8, first graph). Sites in the smallest size class (<0.1 acre, <0.04ha.) had a mean AmphIBI score of 35.50 whichwas highest among the groups. The lowest meanAmphIBI score was 26.50 for wetlands in thegroup with the largest size class represented (25to <50 acres, 10.1 to 20.2 ha.). Much has beenwritten about the value of small wetlands inproviding amphibian habitat (Semlitsch andBodie 1998, Snodgrass et al. 2000). The resultsof this study further document the ability ofsmall wetlands to provide excellent habitat for

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amphibians.When the AmphIBI scores of emergent

and mitigation sites as well as woody wetlands inthe study are divided out by size class furtherobservations can be made (Figure 8, secondgraph). Again the smallest size class (<0.1 acre,<0.04 ha.) yielded the highest mean AmphIBIscore of 29.67. Conversely the group with thelargest wetlands (>50 acres, >20.2 ha.) had thelowest mean AmphIBI score of 3.64.

Mitigation Sites Ten constructed wetlands were

monitored for amphibians using the sameprotocols utilized in development of theAmphIBI at natural wetlands. The wetlandssampled had been constructed for from three toten years and ranged in size from 0.37 to 25.7acres. Seven of the ten constructed wetlandshave permanent hydrology and five of thewetlands have populations of predatory fish. Nine of the ten constructed wetlands hadAmphIBI scores of zero. The other constructedsite had an AmphIBI score of 3, the three pointswere scored on the Relative Abundance ofSensitive Species metric. The wetland was builtnear existing forested areas at a metro park andhas a breeding population of tiger salamanders(Ambystoma tigrinum) © of C of 6). Tigersalamanders are known to breed at a naturalshrub wetland located nearby in a matureforested area of the park.

All the constructed wetlands sampledwere dominated by emergent vegetation with atleast some areas of open water. Nine of the tensites have extensive areas of relatively deepunvegetated open water. None have anypercentage of shrub or tree canopy cover. Whilesome of these wetlands were constructed tomitigate for losses of forested and shrub wetlandstheir AmphIBI scores equate with the mostdisturbed forested sites that we have sampled.

The results seen in these ten sites are alsoreflected in a larger set of Ohio mitigationwetlands that have been surveyed (Porej 2004)and point out that amphibian biodiverstiy offorested and shrub wetlands is not being replaced

in the wetlands that are being constructed formitigation. In many parts of the state,particularly, large areas of the ECBP ecoregionthis loss of natural wetlands and theirsurrounding habitats have resulted in extremeisolation of amphibian populations andreductions of the historic ranges of some species. If we hope to maintain the biodiversity ofamphibian communities in Ohio efforts toprotect the habitat of remaining populations,including the wetlands used for breeding, mustbe undertaken. In addition, we must began todevelop constructed wetlands that meetamphibians’ within wetland and surroundinghabitat needs.

ACKNOWLEDGMENTS

This work would not have been possiblewithout the generous and continued support ofthe U. S. Environmental Protection AgencyWetland Program Development Grants andRegion 5 staff, Sue Elston, Catherine Garra andLula Spruill. Thanks go the BiologicalAssessment of Wetlands Workgroup (BAWWG)and the National Wetlands Workgroup forproviding forums to forward ideas on thebiological measures of wetlands. Special thanksgo to John Mack for his insightful guidance onthe development of this report. Deepappreciation goes to Deni Porej for the shareddiscussions we have had about amphibians andtheir ecology in Ohio. I thank Marty Knapp forsharing monitoring duties with me the last threefield seasons. Interns Ric Lopez, Bonny Elifritz,Lauren Augusta, Gregg Sablak, Kelly Maynard,Michael Brady, Cynthia (Caldwell)Bauers, NinaGrout, Heather Hughes, and Chad Kettlewellshould be recognized for their hard work andinspiration.

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Table 4. Wetland ecoregions, vegetation classes, metrics, AmphIBI and ORAM 5.0 scores.

Wetland Name eco code veg class AQAI %sen %tol sal spotwd AmphIBI ORAM v5.0

2-Meadows ECBP shrub 0 3 0 3 10 16 49

Ackerman ECBP shrub 0 3 0 3 0 6 24

Area K ECBP shrub 0 0 0 0 0 0 61.5

Bailey Peeper WAP forest 10 10 7 0 0 27 49.5

Baker Swamp WAP emergent 7 7 3 0 0 17 81

Ballfield Marsh EOLP emergent 0 3 0 3 10 16 83

Berger Road ECBP emergent 0 0 0 0 0 0 24.5

Big Bailey WAP emergent 7 7 3 0 0 17 64

Big Island Area C ECBP emergent 0 0 0 0 0 0 mitigation

Big Woods ECBP forest 10 10 10 3 10 43 68.5

Birkner Pond EOLP emergent 0 0 0 0 0 0 30

Blackfork Swamp WAP forest 3 7 0 3 0 13 62

Blackjack Rd Back EOLP shrub 0 3 0 0 10 13 66

Blackjack Rd Front EOLP shrub 10 10 10 0 10 40 55.5

Blanchard Oxbow ECBP shrub 3 0 3 3 0 9 48

Bloomville Swamp ECBP emergent 0 0 0 0 0 0 36

Bluebird ECBP emergent 0 0 0 0 0 0 mitigation

Buckeye Furnace WAP shrub 10 10 10 0 0 30 66.5

Calamus 1997 ECBP emergent 3 3 0 0 0 6 77

Calamus 2001 ECBP emergent 3 7 3 0 0 13 77

Callahan ECBP shrub 10 7 7 10 0 34 57.5

Cessna ECBP shrub 3 3 3 7 10 26 61

Collier Woods ECBP forest 10 10 10 3 10 43 73.5

County Rd 200 ECBP emergent 10 10 10 3 0 33 19

Crall Woods EOLP forest 10 10 10 0 10 40 77.5

Daughm er ECBP emergent 0 0 0 0 0 0 68

Dever 1997 ECBP emergent 7 0 10 0 0 17 19

Drew Woods ECBP shrub 3 3 10 0 0 16 70

Eagle Cr Beaver EOLP emergent 0 3 0 0 0 3 68

Eagle Cr Bog EOLP shrub 10 10 10 0 10 40 81

Eagle Cr Vernal EOLP forest 10 10 10 3 10 43 69

Eagle Creek BB EOLP shrub 0 0 0 0 0 0 81

Eagle Creek Marsh EOLP emergent 3 3 0 0 0 6 75

East Branch Sunday WAP emergent 7 7 3 0 0 17 52

Falling Tree WAP shrub 10 10 10 10 10 50 73

Flowing W ell ECBP forest 10 10 10 7 0 37 54

Fowler Woods EOLP forest 10 10 10 10 10 50 79

Frieds Bog EOLP shrub 7 10 7 0 10 34 77

Gahanna 4th 1996 ECBP shrub 3 3 0 10 10 26 67.5

Graham Rd ECBP forest 0 0 3 0 0 3 26

Grand R Terraces EOLP shrub 10 10 7 7 10 44 73

Greendale Beaver WAP emergent 7 7 3 0 0 17 53.5

Greendale BB WAP shrub 7 7 3 3 0 20 65

Greendale Vernal WAP forest 7 7 7 10 10 41 65

Guilford Marsh EOLP emergent 3 0 0 0 0 3 45.5

Hebron ECBP forest 0 0 0 0 0 0 54.5

Hempelman ECBP forest 0 3 3 3 0 9 47

Hewitt Fork WAP emergent 10 10 10 0 0 30 51

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Table 4. Wetland ecoregions, vegetation classes, metrics, AmphIBI and ORAM 5.0 scores.

Wetland Name eco code veg class AQAI %sen %tol sal spotwd AmphIBI ORAM v5.0

JMB ECBP emergent 0 0 0 0 0 0 mitigation

Johnson Rd ECBP forest 0 3 0 0 0 3 21

Keller High ECBP shrub 10 10 10 10 10 50 64.5

Keller Low ECBP emergent 3 7 0 0 0 10 34

Killdeer Plains ECBP forest 10 10 10 3 10 43 58.5

Kiser Lake ECBP emergent 0 0 0 0 0 0 70

Lake Abrams EOLP emergent 0 0 0 0 0 0 40

Lawrence High ECBP forest 10 10 7 10 10 47 73

Lawrence Low 1 ECBP emergent 3 7 3 3 0 16 34

Lawrence Low 2 ECBP forest 3 3 10 0 0 16 48

Leafy Oak 1997 ECBP forest 7 7 10 0 0 24 78

Limeridge Rd EOLP shrub 10 10 10 0 10 40 45.5

Lodi North EOLP emergent 0 0 0 0 0 0 29

Mantua Bog EOLP emergent 0 0 0 0 0 0 94

McKinley ECBP shrub 0 3 0 3 10 16 37.5

Medallion #20 ECBP emergent 0 0 0 0 0 0 mitigation

Minkers Run WAP emergent 10 10 7 0 0 27 47

Mishne 1997 ECBP emergent 0 0 0 0 0 0 19.5

Mitchell Woods EOLP shrub 10 10 10 0 10 40 72

Morgan Swamp BB EOLP shrub 10 10 10 0 10 40 61

Morgan Swamp Marsh EOLP emergent 3 0 0 0 0 3 77

Mud Lake (Bog) MIDP emergent 3 0 0 0 0 3 91

New Albany HS ECBP emergent 0 0 0 0 0 0 mitigation

Old Wom an Creek EOLP emergent 0 0 0 0 0 0 71

Orange Rd ECBP forest 0 0 0 0 0 0 45

Oyer Wood Frog ECBP shrub 10 10 10 7 10 47 69

Paine Crossing Beaver WAP emergent 10 10 7 0 0 27 54

Paine Crossing Forest WAP forest 10 10 10 7 10 47 72

Pallister EOLP forest 10 10 10 7 10 47 74

Palmer Rd ECBP emergent 0 0 0 0 0 0 17.5

Pawnee Rd EOLP forest 10 10 10 0 10 40 70

Pizzutti ECBP emergent 0 0 0 0 0 0 mitigation

Prairie Lane EOLP emergent 0 0 0 0 0 0 mitigation

Raccoon Cr 1 WAP forest 7 7 7 3 10 34 58

Raccoon Cr 2 WAP forest 10 10 10 0 10 40 72

Redstart WAP forest 10 10 10 3 0 33 75

Rickenbacker 1996 ECBP emergent 0 3 0 0 0 3 51.5

Rickenbacker 2001 ECBP emergent 0 0 0 0 0 0 51.5

Rock Outcrop WAP forest 10 10 10 10 10 50 54

Route 29 ECBP shrub 3 7 7 3 0 20 59

Rutherford WAP emergent 3 0 0 0 0 3 52

Sacks EOLP emergent 0 0 0 0 0 0 constructed

Sawmill 1997 ECBP forest 3 0 10 0 0 13 52

Scofield ECBP emergent 0 3 0 7 0 10 40

Silver Lake ECBP emergent 0 0 0 0 0 0 82

Singer Lake Bog EOLP emergent 0 0 0 0 0 0 86

Slate Run ECBP shrub 7 7 10 10 10 44 76

Slate Run 2 ECBP emergent 0 3 0 0 0 3 mitigation

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Table 4. Wetland ecoregions, vegetation classes, metrics, AmphIBI and ORAM 5.0 scores.

Wetland Name eco code veg class AQAI %sen %tol sal spotwd AmphIBI ORAM v5.0

Springville Marsh ECBP emergent 0 0 0 0 0 0 51

Stages Pond ECBP emergent 0 0 0 0 0 0 42

Steels Corners EOLP emergent 3 0 0 0 0 3 30

Sum ner Buttonbush EOLP shrub 10 10 10 0 10 40 60

Swamp Cottonwood EOLP shrub 10 10 10 7 10 47 76

The Rookery ECBP shrub 3 3 7 7 10 30 69

Tinkers Creek EOLP emergent 0 0 0 0 0 0 80.5

Tipp-Elizabeth Rd ECBP forest 0 0 3 3 0 6 29

Towners Woods EOLP shrub 10 10 10 3 10 43 65

Townline Rd EOLP shrub 3 7 3 3 10 26 62

Trotwood ECBP emergent 0 0 0 0 0 0 mitigation

US 42 EOLP forest 0 0 0 0 0 0 31

Watercress Marsh EOLP emergent 3 0 0 0 0 3 61

Wilson Swamp ECBP shrub 0 0 0 0 0 0 77

Zaleski WAP forest 10 10 10 3 10 43 55

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Figure 1. Summary plots of Amphibian Quality Assessment Index (AQAI) metric. Scatter plots are AQAI versus

ORAM v. 5.0 score (df = 52, F = 26 .21, R 2 = 33 .5%, p =< 0.001) or LDI score (df = 52, F = 23 .01, R 2 = 30.7%, p <

0.001). Box and w hisker plots represent ORAM score tertiles (thirds).

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Figure 2. Summary plots of Relative Abundance of Sensitive Species (RASS) metric. Scatter plots are RASS versus

ORAM v. 5.0 score (df = 52, F = 20 .79, R 2 = 28 .6%, p =< 0.001) or LDI score (df = 52, F = 15 .56, R 2 = 23.0%, p <

0.001). Box and w hisker plots represent ORAM score tertiles (thirds).

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Figure 3. Summary plots of Relative Abundance of Tolerant Species (RATS) metric. Scatter plots are RATS versus

ORAM v. 5.0 score (df = 52, F = 27 .08, R 2 = 34 .2%, p =< 0.001) or LDI score (df = 52, F = 4.09, R2 = 7.3%, p <

0.001). Box and w hisker plots represent ORAM score tertiles (thirds).

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Figure 4. Summary p lots of Number of Pond-breed ing Salamander Species (NPBSS) metric. Scatter plots are

NPBSS versus ORAM v. 5.0 score (df = 52, F = 3.93, R2 = 7.0%, p =< 0 .001) or LDI score (d f = 52, F = 1.47 , R2 =

2.8% , p < 0 .001). Box and whisker plots represent ORAM score tertiles (thirds).

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Figure 5. Summary plots of Relative Abundance of Spotted Salamanders and/or Wood Frogs (RASW) metric.

Scatter plots are RASW versus ORAM v. 5.0 score (df = 52, F = 8.92, R2 = 14.6%, p =< 0.001) or LDI score (df =

52, F = 3.00, R2 = 5.5%, p < 0.001). Box and whisker p lots represent ORAM score tertiles (thirds).

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Figure 6. Summary plots of Amphibian Index of Biotic Integrity (AmphIBI). Scatter plots are AmphIBI versus

ORAM v. 5.0 score (df = 52, F = 52 .61, R 2 = 50 .3%, p =< 0.001) or LDI score (df = 52, F = 16 .83, R 2 = 24.5%, p <

0.001). Box and w hisker plots represent ORAM score tertiles (thirds).

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Figure 7. Summary plots of Amphibian Index of Biotic Integrity (AmphIBI). Scatter plots are AmphIBI versus

ORAM v. 5.0 true disturbance metrics score (df = 52 , F = 69.56 , R2 = 57.2%, p =< 0.001), AmphIBI versus ORAM

v. 5.0 by vegetation class for all sites, and AmphIBI versus ORAM v. 5.0 by HGM class for all sites.

Page 36: INTEGRATED WETLAND ASSESSMENT PROGRAM. Part 7: … · AmphIBI scores from ten constructed wetlands, nine of which were developed as compensatory mitigation, are presented and discussed

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Figure 8. Summary plots of Amphibian Index of Biotic Integrity (AmphIBI). Box plots are AmphIBI versus

wetland size classes for woody sites and AmphIBI versus wetland size classes for all sites. Means are indicated by

solid circles. A line is drawn across the box at the median. The bottom of the box is the first quartile (25%) and the

top of the box is the third quartile (75%).