ABSTRACT: |
Rapid Bioassessment Protocols are practical technical references for conducting cost-effective yet scientifically valid biological monitoring programmes. They provide reports that can easily be translated to management and public employing environmentally benign procedures. Several biological communities including plankton, periphyton, microphytobenthos, macrozoobenthos, aquatic macrophytes and fish have been considered in assessment of stream and river water quality. However, experience from North American, European and Australian programmes as well as extensive studies in Cauvery river system in India have demonstrated that the most useful biological assessment methods for routine monitoring of wadeable streams and rivers are those based on benthic macroinvertebrates.
The components of the suggested Rapid Bioassessment Protocol (RBP) module are:
The ultimate objective is to evolve an empirical (statistical) model, Ind Rivas (Similar to RIVPACS of U.K. and its derivative, Aus RivAS of Australia) that would predict the aquatic macroinvertebrate fauna, expected to occur at a site in the absence of environmental stress.
INTRODUCTION: |
There have been repeated attempts to use biology in the assessment of water quality for several decades in developed countries (Resh and Jackson, 1993). In North America and Western Europe, several rapid assessment procedures have been formulated and some have been codified through legislation. Because rapid assessment, offers a cost-effective approach to water quality monitoring, the application of such an approach in developing countries is very much appealing (Resh, 1995).
Water quality assessment programmes in developing countries have generally been concerned with public health issues; safe drinking water has been the primary emphasis of these programmes. Interest in environmental monitoring in some countries has increased in recent years (e.g., for habitat conservation programmes).
ELEMENTS OF RAPID ASSESSMENT APPROACHES: |
Resh and Jackson (1993) described the use of rapid assessment approaches in water quality monitoring as somewhat analogous to the use of thermometers in assessing human health; easily obtained values are compared to a threshold that is considered normal, and large deviations indicate that further examination is necessary. The application of the term "rapid assessment" to water quality is largely in vogue in North America but programmes in several European countries share common elements, many of which arose from saprobien system. Rapid assessments differ from both the saprobien system and quantitative studies in that they are usually characterized by involving more than one type of measurement, and summary of these measurements is used to compare them with predetermined thresholds rather than relying on statistical comparisons.
Rapid assessment involves sampling and analysis approaches that are designed to fulfill two objectives. First, effort (and cost) is reduced in assessing environmental conditions at a site, relative to that needed in quantitative approaches. A second objective of rapid assessment approaches is to summarize the results of site surveys in a way that can be understood by non-specialists such as managers, other decision-makers, and the concerned public. This is done by using analytical measures that express results as single scores, as well as by placing the scores obtained in categories of environmental quality based on regional background data (Resh and Jackson, 1993).
The success of any rapid assessment approach depends on the ability to detect impacted and non-impacted conditions. Therefore, efforts to reduce costs must not be carried to the point that information used in the analysis does not adequately represent the site examined. Likewise, the analysis and summary should not be so simplified that impact-related conditions are not detected.
FRESHWATER BENTHIC MACROINVERTEBRATES AS TOOLS IN WATER QUALITY MONITORING: |
Several biological communities including plankton, periphyton, microphytobenthos, macrozoobenthos, aquatic macrophytes and fish have been considered in assessments of stream and river water quality. However, experience from North American, European and Australian programmes as well as extensive studies in Cauvery river system in India have demonstrated that the most useful biological assessment methods for routine monitoring of wadeable streams and rivers are those based on macroinvertebrates. Benthic macroinvertebrates are organisms that inhabit the bottom substances (sediments, debris, logs, macrophytes, filamentous algae etc.,) of freshwater habitats, for at least part of their life cycle. Aquatic flatworms, oligochaetes, insects and molluscs constitute the major taxa of benthic macroinvertebrates. They are retained by mesh sizes £ 200 to 500 mm. Rosenberg and Resh (1993) have examined the advantages and difficulties in using macroinvertebrates in water quality assessments (Table I).
COMPONENTS OF THE SUGGESTED RAPID BIOASSESSMENT PROTOCOL (RBP) MODULE (Modified from Barbour et al., 1999): HABITAT ASSESSMENT AND PHYSICOCHEMICAL PARAMETERS: |
An evaluation of habitat quality is critical to any assessment of ecological integrity and should be performed at each site at the time of the biological sampling. In general, habitat and biological diversity in rivers are closely linked. In the present protocol, the definition of the "habitat" is restricted to the quality of the stream and riparian habitat that influence the structure and function of the aquatic community in a stream. The presence of an altered habitat structure is considered one of the major stresses on aquatic systems (Karr et al., 1986).
The habitat quality evaluation can be accomplished by characterizing selected physicochemical parameters in conjunction with a systematic assessment of physical structure (Data Sheet II). Through this approach, key features can be rated or scored to provide a useful assessment of habitat quality.
FIELD SAMPLING, LABORATORY PROCESSING AND APPLICATION OF BENTHIC METRICES:
FIELD SAMPLING: |
Sampling of a single habitat is usually recommended. Riffles or runs are preferred to standardize assessments among streams having such habitats. Macroinvertebrate diversity and abundance are usually highest in cobble substrate (riffle/run) habitats. One-meter kick net is used for sampling. At each sampling site, 3 samples are taken and the duration of each sampling is usually 5 minutes. For each sample, a 1m2 area should be marked off. While one person holds the kick-screen, the other person should systematically sample the area. Every large boulder or cobble in the area is picked up if it could be lifted and organisms vigorously washed by hand into the net. Finally, substrate with smaller boulders should be disturbed by kicking systematically across the area 3 times such that the invertebrates wash downstream into the net. The organisms are then carefully picked from the net surface and preserved immediately in 80% ethanol. These samples should be returned to the laboratory for processing. In case, where the cobble substrate represents less than 30% of the sampling reach in reference stream (i.e., those streams that are representative of the region), D-frame Dip Net should be used.
LABORATORY PROCESSING AND APPLICATION OF BENTHIC METRICES: |
Specimens collected should be sorted and identified to operational taxonomic unit (at least to family level with the help of regional keys) in the laboratory under a dissecting microscope. After identification, the 3 samples for each site may be lumped together for calculation of the functional feeding group and make-up of the community according to taxonomic order. Classification of the functional feeding group may presently be based on Merritt and Cummins (1996) until regional functional feeding categorization is worked out. Benthic metrices that can be adopted and predicted direction of metric response to increasing perturbation are given in Table2 (Barbour et al., 1996) since results s previous extensive work in Cauvery basin (Sivaramakrishnan et al.,) support initiation of future studies based on a habitat assessment and the BMWP (Biological Monitoring Working Party) scrore as formulated by Armitage et al., 1983), BMWP and BMWP - ASPT (average score per taxon) scores, identification to family is sufficient. Family tolerance scores from Table3 (modified version of Armitage et al., 1983) should be used and the score for each family should be ascribed and added together to arrive at a site value (BMWP S t1, where t1 is the tolerance score for a family). Pollution intolerant families have high scores and pollution-tolerant families have low scores. The average score per taxon (BMWP - ASPT St1/number of families); a high ASPT value usually characterizes clean upland sites containing relatively large numbers of high scoring taxa. Lowland sites that do not support many high scoring taxa generally have lower ASPT values (Armitage et al., 1983). An advantage of using the ASPT scoring system is that the number of individuals collected does not affect the index. The BMWP and the BMWP-ASPT scores should be evaluated separately.
DATA INTEGRATION & REPORTING:
DATA INTEGRATION: |
Integration of information from physical characterization, water quality field data, habitat assessment, benthic metrices including the Biotic Index values should be done through graphical display (Bivariate scatter plots, Cluster dendrogram, Pie charts, Box-and wisker plots, Line graphs, Cumulative frequency diagram, Bar charts etc.) to reveal patterns of biological response to impaction.
REPORT FORMAT: |
Barbour et al., (1999), recommend two basic formats for reporting ecological assessments. Each of these formats is intended to highlight the scientific process, focus on study objectives, and judge the condition of the assessed sites. The first format is a sort of eco-summary, targeted for use by managers in decision making regarding the resource. It has a simple style but conveys varied information including study results. An executive summary format is very appropriate. The second format for reporting is a scientific report, which is structured similarly to a peer-reviewed journal. The report should be peer-reviewed by non-agency scientists to validate its scientific credibility. An abstract should be included to highlight the essential findings.
CONCLUSION: |
The ultimate objective should be to evolve an empirical (statistical) model, Ind RivAS (Indian Rivers Assessment System) similar to RIVPACS (River Invertebrate Prediction & Classification Scheme) of U.K. and its derivative AusRivAS (Australian Rivers Assessment System) of Australia (Norris, 1995) which would predict the aquatic macroinvertebrate fauna, expected to occur at a site in the absence of environmental stress.
REFERENCES: |
Table 1. Advantages and Difficulties to consider in using Benthic Macroinvertebrates for Biological Monitoring. (after Resh, 1994) |
Advantages |
Difficulties to consider |
|
|
Table-2: Benthic Metrics and Predicted Direction Of Metric Response to Increasing Pertubation (after Barbour et al., 1999) |
CATEGORY |
METRIC |
DEFINITION |
PREDICTED RESPONSE TO INCREASING PERTURBATION |
Richness measures |
Total No. taxa |
Measures the overall variety of the macroinvertebrate assemblage |
Decrease |
- |
- |
Number of taxa in the insect orders Ephemeroptera (mayflies), Plecoptera (stoneflies), and Trichoptera (caddisflies) |
Decrease |
- |
No. Ephemeroptera Taxa |
Number of mayfly taxa (usually genus species or species level) |
Decrease |
- |
No. Plecoptera Taxa |
Number of stonefly taxa usually genus of species level) |
Decrease |
- |
No. Trichoptera Taxa |
Number of caddisfly taxa (usually genus or species level) |
Decrease |
Composition Measures |
% EPT |
Percent of the composite of mayfly, stonefly, and caddisfly larvae |
Decrease |
- |
% Epherimeroptera |
Percent of mayfly nymphs |
Decrease |
Tolerance/Intolerance measures |
No. of Intolerance Taxa |
Taxa richness of those organisms considered to be sensitive to perturbation |
Increase |
- |
%Tolerant Organisms |
Percent of macrobenthos considered tolerant of various types of perturbation. |
Increase |
- |
%Dominant Taxon |
Measures the dominance of the single most abundant taxon. Can be calculated as dominant 2,3,4 or 5 taxa. |
Increase |
Feeding measures |
% Filterers |
Percent of the macrobenthos that filter FPOM from either the water column or sediment. |
Variable |
- |
% Grazers and Scrapers |
Percent of the macrobenthos that scrape or graze upon periphyton |
Decrease |
Habit measures |
Number of Clinger Taxa |
Number of taxa of insects |
Decrease |
- |
%Clingers |
Percent of insects having fixed retreats or adaptations for attachment to surfaces in flowing water. |
Decrease |
Table-3: Modified Biological Monitoring Working Party Score System (BMWP) |
Order |
FAMILIES |
SCORE |
E |
Siphonuridae Heptageniidae Leptophlebiidae] Ephemerellidae Potamanthidae Ephemeridae |
10 10 |
P1 |
Taeniopterygidae Leutricidae Capnidae perlodidae Perllidae Chloroperlidae |
10 10 |
He |
Aphelocheiridae |
10 |
T |
Phryganeidae Molannidae Beraeidae Odontoceridae Leptoceridae Goeridae Lepidostomatidae Brachycentridae Sericostomatidae |
10 10 10 |
Od T |
Lestidae Agriddae Gomphidae Cordulegasteridae Aeshnidae Corduliidae Libellulidae Psychomyiidae Philopotamidae |
8 8 8 |
E P1 T |
Caenidae Nemouridae Rhyacophilidae Polycentropodiae Limnephilidae |
7 7 7 |
M T C Po Od |
Naritidae Viviparidae Ancylidae Unionidae Hydroptilidae Corophiidae Gammaridae Paleamonidae Nereidae Nephthyidae Platyenemididae Coenagriidae |
6 6 6 6 6 |
He Co T D P |
Mesovelidae Hydrometridae Gerridae Nepidae Naucoridae Notonectidae Pleidae Corixidae Haliplidae Hygrobiidae Dytiscidae Gyrinidae Hydrophilidae Helodidae Dryopidae Elminthidae Chrysomelidae Curulionidae Hydropsychidae Tipulidae Simulidae Planariidae Dendrocoelidae |
5 5 5 5 5 5 5 |
E Me H |
Baetidae Sialidae Piscicolidae |
4 4 4 |
M H C |
Valvatidae Hydrobiidae Lymnaeidae Physidae Plnorbidae Sphaaeriidae Glossiphoniidae Hirudidae Erpobdellidae Asellidae |
3 3 3 3 |
Ch |
Chironomidae |
2 |
O |
Oligochaeta (whole class) |
1 |
E= Ephemeroptera P1=Plecoptera He=Hemiptera T=Trichoptera
Od=Odonata M=Mollusca C=Crustacea Po=Polychaeta D=Diptera
Me=Megaloptera H=Hirudinea O=Oligochaeta Co=Coleoptera
Ch=Chironomidae P=Platyhelminthes
Data Sheet I (Continued) Physical Characterization/Water Quality Field Data Sheet (after Barbour et al, 1999) |
STREAM NAME |
LOCATION |
|
STATION# ___________RIVERMILE |
STREAM CLASS |
|
LAT _________________LONG ______________ |
RIVER BASIN |
|
STORE# |
AGENCY |
|
INVESTIGATORS |
||
FORM COMPLETED BY |
DATE _______ TIME________ AM /PM |
REASON FOR SURVEY |
WEATHER CONDITIONS |
Now
q Storm (heavy rain)q Rain (steady rain)q Showers (intermittent)q %cloud coverq clear/sunny |
Past24 Has there been a heavy rain in the last 7days? Hours q Yes q Noq q Air Temperature ________ °Cq q Other _________________q |
SITE LOCATION/ MAP |
Draw a map of the site and indicate the areas sampled (or attach a photograph)
|
|
STREAM CHARACTERIZATION |
Stream Subsystem q Perennial q Intermittent q TidalStream Origin Catchment Area __________ km2 q Spring-fedq Mixture of origins q Swamp and bog |
Data Sheet I (Continued)
Physical Characterization/Water Quality Field Data Sheet(after Barbour et al, 1999)
WATERSHED FEATURES |
Predominant Surrounding Landuse q Forest q Commercialq Field/Pasture q Industrialq Agricultural q Other__________q Residential |
Local Watershed NPS Pollution q No evidence qSome potential sourceq Obvious sourcesLocal Watershed Erosion q None qModerate qHeavy |
||||
RIPARIAN VEGETATION (18 meter buffer) |
Indicate the dominant type and record the dominant species present q Trees q Shrubs q Grasses q Herbaceousdominant species present ________________________________________ |
|||||
INSTREAM FEATURES |
Estimated Reach Length _________ m Estimated Stream Width _________ m Sampling Reach Area _________ m Area in km2 (m2 x 1000) ________ Km2 Estimated Stream Depth _________ m Surface Velocity ________ m/sec (at thalweg)
|
Canopy Cover q Partly open qPartly shaded qshadedHigh water mark _________ m Proportion of Reach Represented by Stream Morphology Types q Riffle ________ % q Run ________ %q Pool _________ %Channelized q Yes q NoDam Present qYes q No |
||||
LARGE WOODY DEBRIS |
LWD _________ m2 Density of LWD _________ m2/km2 (LWD/ reach area) |
|||||
AQUATIC VEGETATION |
Indicate the dominant type and record the dominant species present |
|||||
q Rooted emergentq Floating Algae |
q Rooted submergentq Attached Algae |
q Rooted floating |
q Free floating |
|||
Dominant species present _________________________________________ Portion of the reach with aquatic vegetation ___________% |
||||||
WATER QUALITY |
Temperature ____________°C Specific Conductance _________ Dissolved Oxygen __________ pH ___________ Turbidity ____________ |
Water Odors q Normal/ None qSewageq Petroleum qChemicalq Fishy qOtherWater Surface Oils q Slick qSheen q Glotsq Flecks qNone qOther_______Turbidity (if not measured) q Clear q Slightly turbid q Turbidq Opaque qStained qOther |
||||
SEDIMENT / SUBSTRATE |
Odors q Normal q Sewage qPetroleumq Chemical qAnaerobic qNoneq Other ______________________Oils q Absent qSlight qModerate qProfuse |
Deposits q Sludge qSawdust qPaper fiberq Sandq Relict shells qother _____________Looking at stones which are not deeply embedded, are the undersides black in color? q Yes qNo |
Substrate Type |
Diameter |
% Composition in Sampling Reach |
Substrate Type |
Characteristic |
% Composition in Sampling Area |
Bedrock |
Detritus |
Sticks, wood, coarse plant materials (CPOM) |
|||
Boulder |
>256 mm (10") |
||||
Cobble |
64-256 mm (2.5"-10") |
Muck-Mud |
Black, very fine organic (FPOM) |
||
Gravel |
2-64 mm(0.1"-2.5") |
||||
Sand |
0.006-2mm (gritty) |
Marl |
grey, shell fragments |
||
Silt |
0.004-0.06mm |
||||
Clay |
<0.004 mm (slick) |
Data Sheet II - Habitat Assessment Field Data Sheet - (after Barbour et al., 1999) |
STREAM NAME |
LOCATION |
|||||||||||||||||||||||
STATION# ___________RIVERMILE |
STREAM CLASS |
|||||||||||||||||||||||
LAT LONG |
RIVER BASIN |
|||||||||||||||||||||||
AGENCY |
||||||||||||||||||||||||
INVESTIGATORS |
||||||||||||||||||||||||
FORM COMPLETED BY |
DATE _______ TIME________ AM/ PM |
REASON FOR SURVEY
|
||||||||||||||||||||||
Habitat Parameter |
Condition Category |
|||||||||||||||||||||||
Optimal |
Sub optimal |
Marginal |
Poor |
|||||||||||||||||||||
1. Epifaunal Substrate/ Available Cover |
Greater than 70% of substrate favorable for epifaunal colonization and fish cover; mix of snags, submerged logs, undercut banks, cobble or other stable habitat and at stage to allow full colonization potential (i.e., logs/snags that are not new fall and not transient.) |
40-70% mix of stable habitat; well-suited for full colonization potential; adequate habitat for maintenance of populations; presence of additional substrate in the form of newfall, but not yet prepared for colonization (may rate at high end of scale). |
20-40% mix of stable habitat; habitat availability less than desirable; substrate frequently disturbed or removed. |
Less than 20% stable habitat; lack of habitat is obvious; substrate unstable or lacking. |
||||||||||||||||||||
SCORE |
20 |
19 |
18 |
17 |
16 |
15 |
14 |
13 |
12 |
11 |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
|||
2.Embeddedness |
Gravel, cobble, and boulder particles are surrounded by 0-25% of fine sediment. Layering of cobble provides diversity of niche space. |
Gravel, cobble, and boulder particles are surrounded by 25-50% of fine sediment. |
Gravel, cobble, and boulder particles are surrounded by 50-75% of fine sediment. |
Gravel, cobble, and boulder particles are surrounded by more than 75% of fine sediment. |
||||||||||||||||||||
SCORE |
20 |
19 |
18 |
17 |
16 |
15 |
14 |
13 |
12 |
11 |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
|||
3. Velocity / Depth Regime |
All four velocity / depth regimes present (slow- deep, slow shallow, fast deep, fast shallow). (Slow is < 0.3m/s, deep is>0.5m.) |
Only 3 of the 4 regimes present (if fast shallow is missing, score lower than if missing other regimes). |
Only 2 of the 4 habitat regimes present (if fast shallow or slow shallow are missing, score low). |
Dominated by 1 Velocity /depth regime (Usually slow-deep) |
||||||||||||||||||||
SCORE |
20 |
19 |
18 |
17 |
16 |
15 |
14 |
13 |
12 |
11 |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
|||
4. Sediment Deposition |
Little or no enlargement of islands or point bars and less than 5% of the bottom affected by sediment deposition. |
Some new increase in bar formation, mostly from gravel, sand or fine sediment; 5-30% of the bottom affected; slight deposition in pools. |
Moderate deposition of new gravel, sand or fine sediment on old and new bars; 30-50% of the bottom affected; sediment deposits at obstructions, constrictions, and bends; moderate deposition of pools prevalent. |
Heavy deposits of fine material, increased bar development; more than 50% of the bottom changing frequently; pools almost absent due to substantial sediment deposition. |
||||||||||||||||||||
SCORE |
20 |
19 |
18 |
17 |
16 |
15 |
14 |
13 |
12 |
11 |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
|||
5. Channel Flow Status |
Water reaches base of both lower banks, and minimal amount of channel substrate is exposed. |
Water fills >75% of the available channel; or <25% of channel substrate is exposed. |
Water fills 25-75% of the available channel, and /or riffle substrates are mostly exposed. |
Very little water in channel and mostly present as standing pools. |
||||||||||||||||||||
SCORE |
20 |
19 |
18 |
17 |
16 |
15 |
14 |
13 |
12 |
11 |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
(Data Sheet II Continued)
Habitat Assessment Field Data Sheet - High Gradient Streams
Parameters to be evaluated than sampling reach |
Habitat Parameter |
Condition Category |
||||||||||||||||||||||||||
Optimal |
Sub - optimal |
Marginal |
Poor |
|||||||||||||||||||||||||
6. Channel Alteration |
Channelization or dredging absent or minimal; stream with normal pattern. |
Some channelization present. Usually in areas of bridge abutments; evidence of past channelization, i.e., dredging, (greater than past 20yr) may be present, but recent channelization is not present. |
Channelization may be extensive; embankments or shoring structures present on both banks; and 40 to 80% of stream reach channelized and disrupted. |
Banks shored with gabion or cement; over 80% of the stream reach channelized and disrupted. Instream habitat greatly altered or removed entirely. |
||||||||||||||||||||||||
SCORE |
20 |
19 |
18 |
17 |
16 |
15 |
14 |
13 |
12 |
11 |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
|||||||
7. Frequency of Riffles (or bends) |
Occurrence of riffles relatively frequent; ratio of distance between riffles divided by width of the stream <7:1 (generally 5 to 7); variety of habitat is key. In streams where riffles are continuous, placement of boulders or other large, natural obstruction is important. |
Occurrence of riffles infrequent; distance between riffle divided by the width of the stream is between 7 to 15. |
Occasional riffle or bend; bottom contours provide some habitat; distance between riffles divided by the width of the stream is between 15 to 25. |
Generally all flat water or shallow riffles; poor habitat; distance between riffles divided by the width of the stream is a ratio of >25. |
||||||||||||||||||||||||
SCORE |
20 |
19 |
18 |
17 |
16 |
15 |
14 |
13 |
12 |
11 |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
|||||||
8. Bank Stability (Score each bank) Note: determine left or right side by facing downstream. |
Banks stable; evidence of erosion or bank failure absent or minimal; little potential for future problems. < 5% of bank affected. |
Moderately stable; infrequent, small areas of erosion mostly healed over. 5-30% of bank in reach has areas of erosion. |
Moderately unstable; 30-60% of bank in reach has areas of erosion; high erosion potential during floods. |
Unstable; many eroded areas; "raw" areas frequent along straight sections and bends; obvious bank sloughing; 60-100% of bank has erosional scars. |
||||||||||||||||||||||||
SCORE___(LB) |
Left Bank |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
||||||||||||||||
SCORE___(RB) |
Right Bank |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
||||||||||||||||
9. Vegetative Production (Score each bank) |
More than 90% of the streambank surfaces and immediate riparian zone covered by native vegetation, including trees, understory shrubs or non woody macrophytes; vegetative disruption through grazing or mowing minimal or not evident; almost all plants allowed to grow naturally. |
70-90% of the streambank surfaces covered by native vegetation, but one class of plants are not well-represented; disruption evident but not affecting full plant growth potential to any great extent; more than one-half of the potential plant stubble height remaining. |
50-70-% of the streambank surfaces covered by vegetation; disruption obvious; patches of bare soil or closely cropped vegetation common; less than one-half of the potential plant stubble height remaining. |
Less than 50% of the streambank surfaces covered by vegetation; disruption of streambank vegetation is very high; vegetation has been removed to 5 centimeters or less in average stubble height. |
||||||||||||||||||||||||
SCORE___(LB) |
Left Bank |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
||||||||||||||||
SCORE___(RB) |
Right Bank |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
||||||||||||||||
10. Riparian Vegetative Zone Width (Score each bank riparian zone) |
Width of riparian zone > 18meters; human activities (i.e., parking lots, roadbeds, clearcuts, lawns, or crops) have not impacted zone. |
Width of riparian zone 12-18 meters; human activities have impacted zone only minimally. |
Width of riparian zone <6 meters: little or no riparian vegetation due to human activities. |
|||||||||||||||||||||||||
SCORE___(RB) |
Right Bank |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
||||||||||||||||
SCORE___(RB) |
Right Bank |
10 |
9 |
8 |
7 |
6 |
5 |
4 |
3 |
2 |
1 |
0 |
Data Sheet III - Benthic Macroinvertebrate Score Sheet ( after Barbour et al., 1999) |
STREAM NAME |
LOCATION |
STATION# ____________ RIVERMILE |
STREAM CLASS |
LAT LONG |
RIVER BASIN |
AGENCY |
|
COLLECTED BY DATE |
LOT# |
HABITATS: q COBBLE qSHOREZONE q SNAGS q VEGETATION |
Enter Family and /or Genus and Species name on blank line
|
|
Organisms |
No. |
Oligochaeta |
Megaloptera |
||
Hirudinea |
Coleoptera |
||
Isopoda |
|||
Amphipoda |
Diptera |
||
Decapoda |
|||
Ephemeroptera |
|||
Gastropoda |
|||
Plecoptera |
Pelecypoda |
||
Other |
|||
Trichoptera |
|||
Hemiptera |
|||
Site value |
Target Threshold |
If 2 or more metrics are target threshold, site is HEALTHY |
|
Total No.Taxa |
|||
EPT Taxa |
If less than 2 metrics are within target range,site is SUSPECTED IMPAIRED |
||
Tolerance Index |
Data Sheet III (Continued)-Benthic Macroinvertebrate Field Data Sheet (after Barbour et al., 1999)
STREAM NAME |
LOCATION |
|
STATION# ___________RIVERMILE |
STREAM CLASS |
|
LAT LONG |
RIVER BASIN |
|
AGENCY |
||
INVESTIGATORS |
||
FORM COMPLETED BY |
DATE _______ TIME________ AM / PM |
REASON FOR SURVEY
|
WEATHER CONDITIONS |
Indicate the percentage of each habitat type present q Cobble ____% qSnags _____% qVegetated Banks _____% qSand ____%q Submerged Macrophytes ______% qOther ( ) ______% |
SAMPLE COLLECTION |
q Gear used qD-frame qKick-net qOther __________________________How were the samples collected? q Wading qfrom bank q from boatIndicate the number of jabs/kicks taken in each habitat type. q Cobble ____ qSnags _____ qVegetated Banks _____ qSand ____q Submerged Macrophytes ______ qOther ( ) ______ |
GENERAL COMMENTS |
|
QUALITATIVE LISTING OF AQUATIC BIOTA
Indicate estimated abundance: 0 = Absent/ Not Observed, 1= Rare, 2=Common, 3=Abundant, 4=Dominant
Periphyton |
0 |
1 |
2 |
3 |
4 |
Slimes |
0 |
1 |
2 |
3 |
4 |
Filamentous Algae |
0 |
1 |
2 |
3 |
4 |
Macroinvertabrates |
0 |
1 |
2 |
3 |
4 |
Macrophytes |
0 |
1 |
2 |
3 |
4 |
Fish |
0 |
1 |
2 |
3 |
4 |
FIELD OBSERVATIONS OF MACROBENTHOS
Indicate estimated abundance: 0=Absent/Not Observed, 1=Rare (1-3 organisms), 2= Common (3-9
organisms), 3= Abundant (>10 organisms), 4=Dominant (>50 organisms)
Platyhelminthes |
0 |
1 |
2 |
3 |
4 |
Anisoptera |
0 |
1 |
2 |
3 |
4 |
Chironomidae |
0 |
1 |
2 |
3 |
4 |
Turbellaria |
0 |
1 |
2 |
3 |
4 |
Zygoptera |
0 |
1 |
2 |
3 |
4 |
Ephemeroptera |
0 |
1 |
2 |
3 |
4 |
Hirudinea |
0 |
1 |
2 |
3 |
4 |
Coleoptera |
0 |
1 |
2 |
3 |
4 |
Trichoptera |
0 |
1 |
2 |
3 |
4 |
Oligochaeta |
0 |
1 |
2 |
3 |
4 |
Lepidoptera |
0 |
1 |
2 |
3 |
4 |
Other |
0 |
1 |
2 |
3 |
4 |
Isopoda |
0 |
1 |
2 |
3 |
4 |
Sialidae |
0 |
1 |
2 |
3 |
4 |
||||||
Amphipoda |
0 |
1 |
2 |
3 |
4 |
Corydalidae |
0 |
1 |
2 |
3 |
4 |
||||||
Decapoda |
0 |
1 |
2 |
3 |
4 |
Tipulidae |
0 |
1 |
2 |
3 |
4 |
||||||
Gastropoda |
0 |
1 |
2 |
3 |
4 |
Culcidae |
0 |
1 |
2 |
3 |
4 |
||||||
Bivalvia |
0 |
1 |
2 |
3 |
4 |
ADDRESS |
1.) Department of Zoology,
Madura College (Autonomous),
Madurai - 625 011