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Sampling and Processing Aquatic and Terrestrial Invertebrates in Wetlands

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Wetland Techniques

Abstract

Obtaining unbiased samples of aquatic and terrestrial invertebrates from wetlands provides unique challenges due to the varied life history strategies of invertebrates as well as the heterogeneity present within a wetland. Many sampling devices are useful in more than one sampling environment within a wetland but the effectiveness of most methods varies among and within wetlands as well as between users. In this chapter, we emphasize field collecting techniques and address laboratory sorting methods. When possible, the advantages and disadvantages of each method are listed and suggestions are provided to reduce bias and unwanted variability in sample collection. Sampling devices for benthic (grabs, single and multiple cores, nets, and artificial substrate), water-column (open cylinder, emergence trap, activity trap, sweep net), epiphytic (box samplers, quadrat samplers), flying terrestrial (aerial net, flight intercept trap, light trap, malaise trap), and non-flying terrestrial (sweep net, aspirator, vacuum sampler, Berlese-Tullgren funnel, mist net) invertebrates are presented and discussed.

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References

  • Anderson JT, Smith LM (1996) A comparison of methods for sampling epiphytic and nektonic aquatic invertebrates in playa wetlands. J Freshw Ecol 11:219–224

    Article  Google Scholar 

  • Anderson JT, Smith LM (1998) Protein and energy production in playas: implications for migratory bird management. Wetlands 18:437–446

    Article  Google Scholar 

  • Anderson JT, Smith LM (1999) Carrying capacity and diel use of managed playa wetlands by nonbreeding waterbirds. Wildl Soc Bull 27:281–291

    Google Scholar 

  • Anderson JT, Smith LM (2000) Invertebrate response to moist-soil management of playa wetlands. Ecol Appl 10:550–558

    Article  Google Scholar 

  • Anderson AM, Haukos DA, Anderson JT (1999) Diet composition of three anurans from the playa wetlands of northwest Texas. Copeia 1999:515–520

    Article  Google Scholar 

  • Anderson JT, Smith LM, Haukos DA (2000) Feather molt influence on diet selection of non-breeding green-winged teal in playas. J Wildl Manag 64:222–230

    Article  Google Scholar 

  • Angradi TR, Pearson MS, Bolgrien DW, Jicha TM, Taylor DL, Hill BR (2009) Multimetric macroinvertebrate indices for mid-continent US great rivers. J N Am Bentholl Soc 28:785–804

    Article  Google Scholar 

  • Armstrong DP, Nudds TD (1985) Factors influencing invertebrate size distributions in prairie potholes and implications for coexisting duck species. Freshw Inv Biol 4:41–47

    Article  Google Scholar 

  • Benke AC (1984) Secondary production of aquatic insects. In: Resh VH, Rosenberg DM (eds) The ecology of aquatic insects. Praeger Publishers, New York, pp 289–322

    Google Scholar 

  • Benke AC (1993) Concepts and patterns of invertebrate production in running waters. Ver Int Verein Limnol 25:15–38

    Google Scholar 

  • Berry IL, Miller JA, Harris RL (1978) A chilling table for immobilizing insects. Ann Entomol Soc Am 71:126–128

    Google Scholar 

  • Bland RG (1978) How to know the insects, 3rd edn. Wm. C. Brown Company Publishers, Dubuque

    Google Scholar 

  • Brandimarte AL, Anaya M (1998) Flotation of bottom fauna using a solution of sodium chloride. Verh Int Ver Theor Angew Limnol 26:2358–2359

    Google Scholar 

  • Brandimarte AL, Shimizu GY, Anaya M, Kuhlmann ML (2004) Amostragem de invertebrados bentônicos. In: Bicudo CEM, Bicudo DC (eds) Amostragem em limnologia. RiMa, São Carlos

    Google Scholar 

  • Brinkhurst RO (1974) The Benthos of lakes. Macmillan Press Ltd./William Clowes and Sons Ltd., London

    Google Scholar 

  • Brinkman MA, Duffy WG (1996) Evaluation of four wetland aquatic invertebrate samplers and four sample sorting methods. J Freshw Ecol 11:193–200

    Article  Google Scholar 

  • Brittain JE, Eikeland TJ (1988) Invertebrate drift – a review. Hydrobiologia 166:77–93

    Article  Google Scholar 

  • Brooks RT (2000) Annual and seasonal variation and the effects of hydroperiod on benthic macroinvertebrates of seasonal forest (“vernal”) ponds in central Massachusetts, USA. Wetlands 20:707–715

    Article  Google Scholar 

  • Chu HF, Cutkomp LK (1992) How to know the immature insects, 2nd edn. Wm. C. Brown Company Publishers, Dubuque

    Google Scholar 

  • Colon-Gaud JC, Kelso WE (2003) A suitcase trap for sampling macroinvertebrates in dense submerged aquatic vegetation. J Kans Entomol Soc 76:667–671

    Google Scholar 

  • Conaway CH (1952) Life history of the water shrew (Sorex palustris navigator). Am Midl Nat 48:219–248

    Article  Google Scholar 

  • Corkum LD, Hanes EC (1989) A laboratory aeration system for rearing aquatic invertebrates. Entomol News 100:169–172

    Google Scholar 

  • Cummins KW (1962) An evaluation of some techniques for the collection and analysis of benthic samples with special emphasis on lotic waters. Am Midl Nat 67:477–504

    Article  Google Scholar 

  • Cummins KW (1973) Trophic relations of aquatic insects. Annu Rev Entomol 18:183–206

    Article  Google Scholar 

  • De Szalay FA, Resh VH (1996) Spatial and temporal variability of trophic relationships among aquatic macroinvertebrates in a seasonal marsh. Wetlands 16:458–466

    Article  Google Scholar 

  • Do MT, Harp JM, Norris KC (1999) A test of a pattern recognition system for identification of spiders. Bull Entomol Res 89:217–224

    Article  Google Scholar 

  • Dodson SI (2001) Zooplankton communities of restored depressional wetlands in Wisconsin, USA. Wetlands 21:292–300

    Article  Google Scholar 

  • Domínguez E, Molineri C, Pescador ML, Hubard MD, Nieto C (2006) Vol. 2 Ephemeroptera de Sud América. In: Adis J, Arias JR, Rueda-Delgado G, Wantzen KM (eds) Biodiversidad acuática en América Latina. Pensoft Publishers, Moscow

    Google Scholar 

  • Doupe RG, Horwitz P (1995) The value of macroinvertebrate assemblages for determining priorities in wetland rehabilitation: a case study from Lake Toolibin, Western Australia. J R Soc West Aust 78:33–38

    Google Scholar 

  • Downing JA (1984) Sampling the benthos of standing water. In: Downing JA, Riegler FH (eds) A manual on methods for the assessment of secondary productivity in fresh waters, 2nd edn, IBP handbook 17. Blackwell Scientific Publishers, Oxford

    Google Scholar 

  • Downing JA, Cyr H (1985) Quantitative estimation of epiphytic invertebrate populations. Can J Fish Aquat Sci 42:1570–1579

    Article  Google Scholar 

  • Dusoge K (1966) Compositions and interrelations between macrofauna living on stones in the littoral of Mikolajskie Lake. Ekol Pol 14:755–762

    Google Scholar 

  • Edmondson WT, Winberg GG (eds) (1971) A manual on methods for the assessment of secondary productivity in fresh waters. Blackwell Scientific Publications, Oxford

    Google Scholar 

  • El-Emam MA, Madsen H (1982) The effect of temperature, darkness, starvation and various food types on growth, survival and reproduction of Helisoma duryi, Biomphalaria alexandrina and Bulinus truncatus (Gastropoda: Planorbidae). Hydrobiologia 88:265–275

    Article  Google Scholar 

  • Elliott JM (1977) Some methods for the statistical analysis of benthic invertebrates, 2nd edn. Freshwater Biological Association, Ambleside

    Google Scholar 

  • Elliott JM, Drake CM (1981) A comparative study of seven grabs used for sampling benthic macroinvertebrates in rivers. Freshw Biol 11:99–120

    Article  Google Scholar 

  • Elmberg J, Numi P, Pöysä H, Sjöberg K (1992) Do intruding predators and trap position affect the reliability of catches in activity traps? Hydrobiologia 239:187–193

    Article  Google Scholar 

  • Errington PL (1963) Muskrat populations. Iowa State University Press, Ames

    Google Scholar 

  • Euliss NH, Swanson GA, Mackay J (1992) Multiple tube sampler for benthic and pelagic invertebrates in shallow wetlands. J Wildl Manag 56:186–191

    Article  Google Scholar 

  • Euliss NH Jr, Mushet DM, Johnson DH (2002) Using aquatic invertebrates to delineate seasonal and temporary wetlands in the prairie pothole region of North America. Wetlands 22:256–262

    Article  Google Scholar 

  • Fahy E (1972) An automatic separator for the removal of aquatic insects from the detritus. J Appl Ecol 9:655–658

    Article  Google Scholar 

  • Fairchild WL, O’Neil MC, Rosenberg DM (1987) Quantitative evaluation of the behavioral extraction of aquatic invertebrates from samples of sphagnum moss. J N Am Bentholl Soc 6:281–287

    Article  Google Scholar 

  • Fernández HR, Domínguez E (eds) (2001) Guía para la determinación de los Artrópodos Bentónicos Sudamericanos. Editorial Universitaria de Tucumán, Serie: Investigaciones de la UNT, Tucumán, Argentina

    Google Scholar 

  • Flanagan JF, Rosenberg DM (1982) Types of artificial substrates preferable for sampling freshwater benthic macroinvertebrates. In: Cairns J (ed) Artificial substrates. Ann Arbor Science Publishers, Ann Arbor

    Google Scholar 

  • Geraci CJ, Zhou X, Morse JC, Kjer KM (2010) Defining the genus Hydropsyche (Trichoptera: Hydropsychidae) based on DNA and morphological evidence. J N Am Bentholl Soc 29:918–933

    Article  Google Scholar 

  • Gerberg EJ (1970) Manual for mosquito rearing and experimental techniques. American Mosquito Control Association Bulletin Number 5, Selma

    Google Scholar 

  • Gerking SD (1957) A method for sampling the littoral macrofauna and its application. Ecology 38:219–226

    Article  Google Scholar 

  • Gernes MC, Helgen JC (2002) Indexes of Biotic Integrity (IBI) for large depressional wetlands in Minnesota. Minnesota Pollution Control Agency, St. Paul

    Google Scholar 

  • Gonzalez SJ, Bernadi X, Ruiz X (1996) Seasonal variation of waterbird prey in the Ebro Delta rice fields. Colon Waterbird 19:135–142

    Article  Google Scholar 

  • Hargeby A (1986) A simple trickle chamber for rearing aquatic invertebrates. Hydrobiologia 133:271–274

    Article  Google Scholar 

  • Helburg LB (1979) A new technique for coating insect traps. J Arboric 5:247–248

    Google Scholar 

  • Hester FE, Dendy JS (1962) A multiple sampler for aquatic macroinvertebrates. Trans Am Fish Soc 91:420–421

    Article  Google Scholar 

  • Huener JD, Kadlec JA (1992) Macroinvertebrate response to marsh management strategies in Utah. Wetlands 12:72–78

    Article  Google Scholar 

  • Hyvönen T, Nummi P (2000) Activity trap and corer: complementary methods for sampling aquatic invertebrates. Hydrobiologia 432:121–125

    Article  Google Scholar 

  • Iowa State University (2012) Bugguide: identification, images, and information for insects, spiders and their kin. http://bugguide.net

  • Jónasson PM (1954) An improved funnel trap for capturing emerging aquatic insects with some preliminary results. Oikos 5:179–188

    Article  Google Scholar 

  • Kajak Z (1971) Benthos of standing water. In: Edmondson WT, Winberg GG (eds) A manual on methods for the assessment of secondary productivity in fresh waters. Blackwell Science Publications, Oxford

    Google Scholar 

  • Kajak Z, Dusoge K, Prejs A (1968) Application of the flotation technique to assessment of absolute numbers of benthos. Ekol Pols 16:607–620

    Google Scholar 

  • Kaston BJ (1978) How to know the spiders. Wm. C. Brown Company Publishers, Dubuque

    Google Scholar 

  • Keith LH (1991) Environmental sampling and analysis: a practical guide. CRC Press, Boca Raton

    Google Scholar 

  • Kerans BL, Karr JR, Ahlstedt SA (1992) Aquatic invertebrate assemblages: spatial and temporal differences among sampling protocols. J N Am Bentholl Soc 11:377–390

    Article  Google Scholar 

  • King RS, Richardson CJ (2002) Evaluating subsampling approaches and macroinvertebrate taxonomic resolution for wetland bioassessment. J N Am Bentholl Soc 21:150–171

    Article  Google Scholar 

  • Klemm DJ, Lewis PA, Fulk F, Lazorchak JM (1990) Macroinvertebrate field and laboratory methods for evaluating the biological integrity of surface waters. United States Environmental Protection Agency, Washington, DC

    Google Scholar 

  • Lauff GH, Cummins KW, Eriksen CH, Parker M (1961) A method for sorting bottom fauna samples by elutriation. Limnol Oceanogr 6:462–466

    Article  Google Scholar 

  • Lenat DR (1988) Water quality assessment of streams using a qualitative collection method for benthic macroinvertebrates. J N Am Bentholl Soc 7:222–233

    Article  Google Scholar 

  • Lima AP, Magnusson WE (2000) Does foraging activity change with ontogeny? An assessment for six sympatric species of postmetamorphic litter anurans in central Amazonia. J Herpetol 34:192–200

    Article  Google Scholar 

  • Lopretto EC, Tell G (eds) (1995) Ecosistemas de aguas continentales. Metodologías para su estudio. First Edition. Ediciones Sur, La Plata, Argentina

    Google Scholar 

  • Lytle DA, Martínez-Muñoz G, Zhang W, Larios N, Shapiro L, Paasch R, Moldenke A, Mortensen EM, Todorovic S, Dietterich TG (2010) Automated processing and identification of benthic invertebrate samples. J N Am Bentholl Soc 29:867–874

    Article  Google Scholar 

  • Mackey AP, Cooling DA, Berrie AD (1984) An evaluation of sampling strategies for qualitative surveys of macro-invertebrates in rivers, using pond nets. J Appl Ecol 21:515–534

    Article  Google Scholar 

  • MacLeod N (2007) Automated taxon identification in systematics: theory, approaches and applications. CRC Press, Boca Raton

    Book  Google Scholar 

  • Marshall SA (2006) Insects: their natural history and diversity with a photographic guide to insects of eastern North America. Firefly Books, Buffalo

    Google Scholar 

  • Mason W, Yevich P (1967) The use of Phloxine B and rose bengal stains to facilitate sorting benthic samples. Trans Am Microsc Soc 86:221–223

    Article  Google Scholar 

  • McDaniel B (1979) How to know the mite and ticks. Wm. C. Brown Company Publishers, Dubuque

    Google Scholar 

  • Mereta ST, Boets P, Bayih AA, Malu A, Ephrem Z, Sisay A, Endale H, Yitbarek M, Jemal A, Meester LD, Goethals PLM (2012) Analysis of environmental factors determining the abundance and diversity of macroinvertebrate taxa in natural wetlands of southwest Ethiopia. Ecol Inf 7:52–61

    Article  Google Scholar 

  • Merritt RW, Cummins KW (1996) An introduction to the aquatic insects on North America. Kendall/Hunt Publishing Company, Dubuque

    Google Scholar 

  • Merritt RW, Cummins KW, Burton TM (1984) The role of aquatic insects in the processing and cycling of nutrients. In: Resh VH, Rosenberg DM (eds) The ecology of aquatic insects. Praeger, New York

    Google Scholar 

  • Merritt RW, Cummins KW, Berg MB (2008) An introduction to the aquatic insects of North America. Kendall/Hunt Publishing Co., Dubuque

    Google Scholar 

  • Mudroch A, Azcue JM (1995) Manual of aquatic sediment sample. Lewis, Boca Raton

    Google Scholar 

  • Mudroch A, MacKnight SD (1991) Bottom sediment sampling. In: Mudroch A, MacKnight SD (eds) Handbook of techniques for aquatic sediments sampling. CSR Press, Boca Raton

    Google Scholar 

  • Murkin HR, Abbott PG, Kadlec JA (1983) A comparison of activity traps and sweep nets for sampling nektonic invertebrates in wetlands. Freshw Invertebr Biol 2:99–106

    Article  Google Scholar 

  • Murkin HR, Wrubleski DA, Reid FA (1994) Sampling invertebrates in aquatic and terrestrial habitats. In: Bookhout TA (ed) Research and management techniques for wildlife and habitats. The Wildlife Society, Bethesda

    Google Scholar 

  • Neckles HA, Murkin HR, Cooper JA (1990) Influences of seasonal flooding on macroinvertebrate abundance in wetland habitats. Freshw Biol 23:311–322

    Article  Google Scholar 

  • New TR (1998) Invertebrate surveys for conservation. Oxford University Press, Oxford

    Google Scholar 

  • Paetzold A, Tockner K (2005) Effects of riparian arthropod predation on the biomass and abundance of aquatic insect emergence. J N Am Bentholl Soc 24:395–402

    Article  Google Scholar 

  • Parker AD, Uzarski DG, Ruetz CR III, Burton TMN (2009) Diets of yellow perch (Perca flavescens) in wetland habitats of Saginaw Bay, Lake Huron. J Freshw Ecol 24:347–355

    Article  Google Scholar 

  • Pehrsson O (1984) Relationships of food to spatial and temporal breeding strategies of mallards in Sweden. J Wildl Manag 48:322–339

    Article  Google Scholar 

  • Peltzer PM, Lajmanovich RC (2007) Amphibians. In: Iriondo MH, Paggi JC, Parma MJ (eds) The middle Paraná River: limnology of a subtropical wetland. Springer, New York

    Google Scholar 

  • Pieczynski E (1961) The trap method of capturing water mites (Hydracarina). Ekol Pol Ser B:111–115

    Google Scholar 

  • Rawson DS (1947) An automatic closing dredge and other equipment for using in extremely deep waters. Limnol Oceanogr 18:2–8

    Google Scholar 

  • Resh VH, Jackson JK (1993) Rapid assessment approaches to biomonitoring using benthic macroinvertebrates. In: Rosenberg DM, Resh VH (eds) Freshwater biomonitoring and benthic macroinvertebrates. Chapman & Hall, New York, pp 195–233

    Google Scholar 

  • Resh VH, McElravy EP (1993) Contemporary quantitative approaches to biomonitoring using benthic macroinvertebrates. In: Rosenberg DM, Resh VH (eds) Freshwater biomonitoring and benthic macroinvertebrates. Chapman & Hall, New York, pp 159–194

    Google Scholar 

  • Rosenberg DM, Resh VH (1982) The use of artificial substrates in the study of freshwater benthic macroinvertebrates. In: Cairns J Jr (ed) Artificial substrates. Ann Arbor Science, Ann Arbor, pp 175–235

    Google Scholar 

  • Sandberg G (1969) A quantitative study of Chironomid distribution and emergence in Lake Erken. Arch Hydrobiol Suppl 35:119–201

    Google Scholar 

  • Selego SM, Rose CL, Merovich GT Jr, Welsh SA, Anderson JT (2012) Community-level response of fish and aquatic macroinvertebrates to stream restoration in a third-order tributary of the Potomac River, USA. Int J Ecol. Article ID 753634. doi:10.1155/2012/753634

  • Shervette VR, Aguirre WE, Blacio E, Cevallos R, Gonzalez M, Pozo F, Gelwick F (2007) Fish communities of a disturbed mangrove wetland and an adjacent tidal river in Palmar, Ecuador. Estuar Coast Shelf Sci 72:115–128

    Article  Google Scholar 

  • Smith DG (2001) Pennak’s freshwater invertebrates of the United States: Porifera to Crustacea, 4th edn. Wiley, New York

    Google Scholar 

  • Somers KM, Reid RA, David SM (1998) Rapid biological assessments: how many animals are enough? J N Am Bentholl Soc 17:348–358

    Article  Google Scholar 

  • Sublette JE, Dendy JS (1959) Plastic material for simplified tent and funnel traps. Southwest Nat 3:220–223

    Article  Google Scholar 

  • Swanson GA (1978) A water column sampler for invertebrates in shallow wetlands. J Wildl Manag 42:670–672

    Article  Google Scholar 

  • Thorp JH, Covich AP (2001) Ecology and classification of North American freshwater invertebrates. Academic, San Diego

    Google Scholar 

  • Thorp JH, Covich AP (eds) (2010) Ecology and classification of North American freshwater invertebrates, 3rd edn. Academic, San Diego

    Google Scholar 

  • Toft JD, Simenstad CA, Cordell JR, Grimaldo LF (2003) The effects of introduced water hyacinth on habitat structure, invertebrate assemblages and fish diets. Estuaries 26:746–758

    Article  Google Scholar 

  • Turner AM, Trexler JC (1997) Sampling aquatic invertebrates from marshes: evaluating the options. J N Am Bentholl Soc 16:694–709

    Article  Google Scholar 

  • Veselka WE IV (2008) Development of volunteer-driven indices of biological integrity for wetlands in West Virginia. MS Thesis, West Virginia University, Morgantown

    Google Scholar 

  • Wallace JB, Grubaugh JW, Whiles MR (1996) Biotic indices and stream ecosystem processes: results from an experimental study. Ecol Appl 6:140–151

    Article  Google Scholar 

  • Waters TF (1965) Interpretation of invertebrate drift in streams. Ecology 46:327–333

    Article  Google Scholar 

  • Watson AT, O’Neill MA, Kitching IJ (2004) Automated identification of live moths (Macrolepidoptera) using Digital Automated Identification System (DAISY). Syst Biodivers 1:287–300

    Article  Google Scholar 

  • Weller MW (1994) Freshwater marshes: ecology and wildlife management, 3. University Minnesota Press, Minneapolis

    Google Scholar 

  • Wetzel RG, Likens GE (1979) Limnological analyses. W.B. Saunders Company, Philadelphia

    Google Scholar 

  • Whiteside MC, Lindegaard C (1980) Complementary procedures for sampling small benthic invertebrates. Oikos 35:317–320

    Article  Google Scholar 

  • Whitman RL, Inglis JM, Clark WJ, Clary RW (1983) An inexpensive and simple elutriation device for separation of invertebrates from sand and gravel. Freshw Invertebr Biol 2:159–163

    Article  Google Scholar 

  • Whittier TR, Van Sickle J (2010) Macroinvertebrate tolerance values and an assemblage tolerance index (ATI) for western USA streams and rivers. J N Am Bentholl Soc 29:852–866

    Article  Google Scholar 

  • Wiggins GB, Mackay RJ, Smith IM (1980) Evolutionary and ecological strategies of animals in annual temporary pools. Archiv Für Hydrobiol Suppl 58:97–206

    Google Scholar 

  • Winterbourn MJ, Gregson KLD (1981) Guide to the aquatic insects of New Zealand. Entomol Soc N Z Bull 5:1–80

    Google Scholar 

  • Worswick JM Jr, Barbour MT (1974) An elutriation apparatus for macroinvertebrates. Limnol Oceanogr 19:538–540

    Article  Google Scholar 

  • Zilli FL, Marchese MR (2011) Patterns in macroinvertebrate assemblages at different spatial scales. Implications of hydrological connectivity in a large floodplain river. Hydrobiologia 663:245–257

    Article  Google Scholar 

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Student Exercises

Student Exercises

The following are some brief ideas for introducing students to wetland invertebrate sampling, identification, and ecology. If you are a wetland invertebrate specialist, you probably already have your own favorite classroom, laboratory, and field exercises. However, if invertebrates are not your main forte, the following ideas may provide you with a starting point for incorporating invertebrates into your wetlands course. These can be used as presented or modified to suit your individual needs.

5.1.1 Classroom Exercises

5.1.1.1 Classroom Exercise 1: Understanding Taxonomy

The following exercise known as the “Nuts and Bolts” lab was adapted from Dr. Robert Whitmore’s Vertebrate Natural History course at West Virginia University. The exercise is designed to acquaint your students with development and use of a dichotomous key. This assignment is most appropriate for introductory courses or for interdisciplinary courses where students may not have a solid background in biology. Assign students to work in a group and provide each group with a jar containing various small articles. You can populate each jar with the same set of items or make unique sets for each group. Examples of items might include rubber bands, dice, pebbles, small pieces of cloth, etc. Assume that each article is a wetland invertebrate. Students should examine these animals very carefully, and compare each piece with every other piece. As they examine the differences and similarities among the “organisms,” they should decide on their degree of relationship.

Part 1 : Instruct students to place these “species” in some type of “classification” where they would show a degree of relationship based on their shape or “morphology” (the function of each article may also be used as a classification character). Classifications should reflect “true relationships”. Have the students address the following questions.

  1. 1.

    List the characteristics used to group and split the taxa, and explain why you placed these species together in a given taxon at a given rank.

  2. 2.

    What makes some characters more important than others in your classification?

  3. 3.

    What characters do you consider trivial/awkward if any? Why?

  4. 4.

    Are functional or nonfunctional characters useful in determining relationships?

  5. 5.

    To what extent did arbitrary decisions and criteria influence your results?

Part 2: After the students have decided on a classification scheme, they should construct a dichotomous identification key. This key should be a ready identification of your “species”. The dichotomous key, meaning forking regularly into two nearly equal branches or segments, is based on an orderly elimination of the characters that do not fit the case in hand. This particular key considers only two possibilities at one time.

The key should be arranged to give the user the choice of two alternatives. In arriving at a choice, one should carefully read all of the characteristics that apply to both choices and then decide which of the alternatives best fits the animal. When they decide which choice to follow, they should proceed with it to the next alternative which is indicated by the number at the right of the page. Below is a very simple example.

5.1.2 A Simple Key for Identification of a Few Biological Objects

1A

Vascular plant

2

1B

Vertebrate animal

3

2A

Leaf margins without obvious indentations; total length greatly exceeds maximum width

Fescue (Grass)

2B

Leaf margins indented; total length equal or less than maximum width

Red Maple

3A

Feathers present

4

3B

Feathers absent

7

4A

Beak length greater than 4 times the width

5

4B

Beak length equal to or less than 4 times beak width

6

5A

Toes connected to each other by skin (webbed)

Gull

5B

Toes not webbed

Heron

6A

Dominant color red

Cardinal

6B

Dominant color blue

Blue Jay

7A

Body mostly covered with hair

Squirrel

7B

Body not covered with hair

Turtle

Classes that already have the fundamentals down regarding use of dichotomous keys (but are not adept at identifying invertebrates) can skip the jars containing artificial contents and go straight to vials containing real specimens. Specimens can come from previous collections or research or from the field laboratory exercises below.

5.1.2.1 Classroom Exercise 2: Selection of Sampling Devices and Creation of Study Design

As we have learned in this chapter, there are numerous methods and techniques for collecting invertebrates from wetlands. Each method has its own biases and the advantages and disadvantages of each technique will vary greatly under the particular circumstances. For each of the following scenarios, identify an appropriate sampling device and a study design. For the study design, think about number of samples, sample location, timing, and frequency of sample collection to meet objectives. Justify your choice of technique and design. Are there any potential biases or issues with your technique and design?

  1. (A)

    You work for a state wildlife management agency within their wetland mitigation program. Your boss wants you to evaluate function of created wetlands in comparison to natural wetlands. In particular, your objective is to obtain an unbiased estimate of food availability (invertebrates) based on biomass and density for red-spotted newts (Notopthalamus viridescens) inhabiting these natural and created wetlands. Red-spotted newts generally select prey items within the water-column, on vegetation, and in the substrate. Each of the wetlands you choose to study (5 of each) has an average water depth of 50–60 cm and varies from about 0–125 cm deep. Wetlands are primarily covered in broad-leaved cattail (Typha latifolia) with about 10 % open water.

  2. (B)

    You are in charge of developing the first dragonfly and damselfly atlas for you state or province. The atlas should provide the distribution and relative abundance of each species on a county-by-county basis. In essence, for each county you are recording and documenting a species’ presence and their relative abundance (rare, uncommon, common, abundant) based on criteria that you will set.

  3. (C)

    Little whirlpool ram’s-horn snail (Anisus vorticulus) is a rare gastropod species that occurs in wetlands throughout a number of European countries including England, Germany, and Poland among others. In England, they have been identified as important umbrella species for their relation to high quality wetlands and their association with other invertebrates (Osmerod et al. 2009). Even though they can be associated with high quality wetlands, they are known to occur in highly altered systems including drainage ditches designed to drain wetlands to facilitate grazing by livestock. However, much of their basic life history remains unstudied. Develop a sampling methodology to better understand their population dynamics within these altered wetland systems.

    Osmerod SJ, Durance I, Terrier A, Swanson AM (2009) Priority wetland invertebrates as conservation surrogates. Conserv Biol 24:573–582

  4. (D)

    You work as a biologist on a national wildlife refuge located along a major migratory pathway for spring migrating shorebirds. The refuge has water control capabilities on eight impoundments totaling about 1,200 ha of wetlands. These wetlands are managed as moist-soil management units. Thus, they are primarily vegetated with annual plants and by the time you start your spring drawdowns there is less than 5 % vegetative cover. You want to experiment with drawdown timing and water management to maximize shorebird use and invertebrate foods (benthic invertebrates). You have already designed a strategy to sample shorebird use every other day for an 8-week period. How will you sample their food sources?

5.1.2.2 Classroom Exercise #3: Understanding Species Diversity Through Sampling

Species diversity is a common measure of species composition and numbers in a community. Higher species diversity exists when many equally or nearly equally abundant species are present. A higher diversity also indicates a more complex community with more species interactions. This classroom exercise is designed for student to calculate and understand species richness and diversity with data sampled in different ways.

In this exercise, Margalef’s species richness index (D a ) and Simpson’s species diversity index (D s ) will be used. Students are advised to use hypothetical data sets provided below.

 

Number of individuals collected with different sampling methods (Hypothetical data set)

Species

Method 1

Method 2

Method 3

Method 4

n1

100

100

10

10

n2

100

90

10

10

n3

100

80

10

10

n4

100

70

10

10

n5

100

60

10

10

n6

100

50

10

10

n7

100

40

10

10

n8

100

30

10

10

n9

100

20

10

10

n10

100

10

100

10

Species richness: Margalef’s species richness index is calculated as,

$$ {D_a}=\frac{(s-1) }{{\log N}} $$

where s is number of species and N is number of individuals.

Species diversity: Simpson’s species diversity index is calculated as,

$$ {D_s}=1-\frac{{\sum {{n_i}} ({n_i}-1)}}{N(N-1) } $$

where n i is number of species i and N is number of individuals.

Based on calculations of indices, examine the effect of sampling methods on species richness and diversity indices. Also, discuss about advantage and disadvantage of using Margalef’s species richness index (D a ) and Simpson’s species diversity index (D s ) to compare structures of different communities or compare different sampling methods.

Further study: students are encouraged to examine the data sets further with other indices. Diversity indices are well presented in many ecology books, and a list of references below may be helpful for students to understand the indices.

  • Cousins SH (1991) Species diversity measurement: choosing the right index. Trends Ecol Evol 6:190–192

  • Peet RK (1974) The measurement of species diversity. Annu Rev Ecol Syst 5:285–307

  • Maurer BA, McGill BJ (2011) Measurement of species diversity. In: Magurran A, McGill B (eds) Biological diversity: frontiers in measurement and assessment. Oxford University Press, Oxford

5.1.3 Laboratory Exercises

5.1.3.1 Field Laboratory Exercise #1: Using a Diversity of Sampling Devices

The purpose of this exercise is to allow students the opportunity to use and understand how to operate a variety of different wetland invertebrate sampling devices. Obtain examples of all the aquatic and terrestrial samplers that we described in the chapter. Go to a wetland that has varied topography and structure so a variety of sampling sites are available such as open water, emergent vegetation, trees, shrubs, and mudflats are available. Have each student deploy and operate each sampling device within the appropriate circumstances. Each student should collect multiple samples to ensure that they have the procedure down. Samples can be deposited back in the wetland if not needed or a few samples can be kept and preserved in the field or brought back to the laboratory for processing and use in other lab exercises. Setting up stations with one or two devices and having groups of students rotate among stations often works best with larger class sizes. After using a device students should write a few notes on their perceived advantages and disadvantages of using each device. Students should type a report comparing and contrasting each device’s effectiveness.

5.1.3.2 Field Laboratory Exercise #2: Epiphytic Invertebrate Sampling

Epiphytic invertebrates present particularly unique challenges in sampling invertebrates due to the complexity that the plant shoots, water, and substrate provide. Assign students to work in pairs or small groups and select two or three different sampling methods for epiphytic invertebrates such as a box sampler, stovepipe sampler, quadrat, throw trap, or D-frame net for them to use. Have them collect an equal number of samples using each assigned method from a homogenous stand of vegetation within a wetland that has standing water. Remove the invertebrates from the sampling device and preserve in ethanol. Use one vial for each sample. Be sure to label all containers with all relevant information. Take the samples back to the laboratory or do an analysis in the field depending on logistics. Depending on the identification proficiency available within the class you can conduct: (1) total counts of invertebrates captured, (2) separate into morphological types or major categories (worms, snails, bugs), or (3) identify to family or genus. After counting and recording data, place the samples back in the vials, and add new ethanol. These vials of specimens can be reused later in more formal identification labs if desired.

5.1.3.3 Field Laboratory Exercise #3: Terrestrial Invertebrate Sampling in Wetlands

This exercise is performed over a several day period, and is especially appropriate for long field trips. The purpose of the exercise is to highlight how different collecting techniques are appropriate for collecting different target taxa. As mentioned in this chapter, there are a multitude of methods for collecting terrestrial invertebrates within dry wetlands, and each method is particularly useful for collecting certain terrestrial invertebrate groups. Divide students into small groups and assign each group a different collecting technique. We suggest pit fall traps, beat sheets, malaise traps, pan traps, and berlese funnels (soil sampling). Each group should then deploy their traps in the field. It is best if all methods are deployed in the same type of habitat, though this is not absolutely necessary. Other sampling methods, such as light trapping, may be very good for highlighting the lessons of this exercise, but be sure to consider the logistics of using such methods when teaching a class.

After a predetermined amount of time (3 days–1 week will be adequate), have the students collect the specimens from the traps and bring them into the classroom. Now the groups can count the number of specimens collected in their traps (abundance) and identify them to order (diversity). Gather the data from each group and share it with the rest of the class. The students should notice which traps collect the most terrestrial invertebrates and which traps collect a large number of specimens from a certain order (such as Diptera in pan traps). As a follow up to this exercise, you may have the students write a short report on why they think certain collecting techniques are more effective for collecting certain taxa.

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Anderson, J.T., Zilli, F.L., Montalto, L., Marchese, M.R., McKinney, M., Park, YL. (2013). Sampling and Processing Aquatic and Terrestrial Invertebrates in Wetlands. In: Anderson, J., Davis, C. (eds) Wetland Techniques. Springer, Dordrecht. https://doi.org/10.1007/978-94-007-6931-1_5

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