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Macroinvertebrate distribution between riffles and pools of rural and urban temperate forested streams in West Michigan.
Zach Leinonen
BIO 215-905
November 20, 2012
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Introduction
Rapid bio assessment is used to determine long term ecological stresses on lotic stream
and water function. This is the basis of the microhabitats that the benthic macroinvertebrates
populate. Rapid bio assessment detects the species of macroinvertebrates that inhabit certain
areas of a stream ecosystem to determine the health of the stream. Macroinvertebrates are such
good bioindicators of stream health for a few simple reasons. They have little mobility which
makes them easy to catch, generally abundant, making it easy to get a large sample size, primary
food source for many fish, and good indicators of localized conditions, because of their pollution
tolerance. A large diversity makes for a health functioning stream just like environment. The
distribution of these benthic macroinvertebrates may depend on differences in flow velocity,
amount of organic material in the stream, amount of dissolved oxygen and amount of chemical
disturbance. (Linke et al. 1999).
These factors are influenced by the environment surrounding the streams due to the flow
of storm water runoff from agriculture and urbanized communities. Sources of nitrogen from
fertilizers and manure flow into the rural stream ecosystem from the agriculture that surrounds
the area. But in urbanized areas, there are more threats to the stream ecosystem such as chemical
substances from lawn fertilizers and pollutants of paved roads and industrial communities
(Mallin et al. 2008). Some species are adapted to tolerate this influence of human activity. Any
observance of these species would give indication of a poor functioning stream (Selvakumar et
al. 2010).
Species distribution is also dependent on the type of microhabitat it encounters. Some
collector species are adapted to fast flowing high erosion microhabitats in streams called riffles
and filter out food as it flows by them. Riffles also have high amounts of dissolved oxygen so the
demand for it is much lower than in pools. Grazers and shredder species must be in the slow flow
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and thick sediment streambed of pools to hide from predators and collect food (Vannote et al.
1980). Pools also contain large collections of leaves called eddies that many macroinvertebrates
inhabit to find good food and hiding places. Lotic forested streams receive most of their energy
from the macroinvertebrate detrital food web instead of by autotrophic primary producers of
photosynthesis (Selvakumar et al. 2010). This represents the importance macroinvertebrates have
on the food webs of forested stream ecosystems.
The objectives of this study were to assess the water quality of the rural and urban lotic
stream ecosystems based on the species of macroinvertebrates found in each habitat. Species of
macroinvertebrates are designated into three groups based on their level of tolerance to pollution.
Pollution intolerant species represented streams with high water function and overall health
while pollution tolerant species represented streams with very low quality health. A group of
species that were designated as somewhat intolerant to pollution served as the mid-point of water
quality (Selvakumar et al. 2010). The second objective was to compare the differences of
macroinvertebrate species between riffle and pool microhabitats. This is to simply follow up on
previous studies by other conveyors on the idea that species have adapted to the physical
characteristics of their desired microhabitat (Vannote et al. 1980, Brooks et al. 2005).
Methods
Site Descriptions
We studied two 4th order streams that were chosen based on the environment surrounding
their ecosystems on October 23rd 2012 and October 30th 2012. The first river we studied was in
Muskegon County, MI and is a mostly rural based city. Corn fields, cattle grazing, minimal
paved roads, and housing development make up for most of the area surrounding the Little Rio
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Grande Creek (Figure 1). Giving the location of this river we also took one water sample and
turned it into AWRI, GVSU; Muskegon MI for a variety of water test.
Patterson Park’s landscape consists of the stream, forestry and trails for bikers, hikers and
fishers alike. 64.37 km away Grandville, MI seems opposite of Muskegon. Highways, shopping
centers, and suburbs make up the city almost entirely. Wedgewood Park places itself right in the
middle of the urbanized community with Buck Creek running along the edge of the park and into
the neighborhoods nearby. Children’s play areas and duck feedings represent how much human
activity takes place along this stream. Housing development surrounds this area of the creek,
running though suburban back yards.
Rapid Bio Assessment
We sampled four stream reaches that included riffle, run, and pool microhabitats.
Physical data was collected in each section using a thermometer, yard stick, conductivity meter:
YSI model Pro 30, mini lab pH meter model 10120, and YSI model 55 dissolved oxygen meter.
Water flow velocity was recorded between riffles and pools using a measuring tape to measure
out five meter, a timer and an orange to float along a certain length in each microhabitat of each
stream. Over 15 minute intervals macroinvertebrates were collected from riffles and pools using
D-frame nets and kick screens. During sampling times, we approached each habitat type from
downstream to minimize disturbance prior to positioning the D-frame net. At riffles, we
positioned the D-frame net on the stream bottom and vigorously disturbed the substrate just
upstream from the net by kicking the floor of the river. This process dislodged
macroinvertebrates, allowing them to be washed into the net (Stepenuck et al. 2008).
Macroinvertebrate distribution and physical data was compared to determine each streams
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ecological function. Observations of the stream bank, stream bed and surrounding area were
made and recorded on site.
Data Analysis
Data was analyzed by the collection of macroinvertebrates in four riffle reaches and four
pool reaches in each stream (Table 1). The pH, dissolved oxygen, and velocity of the stream was
all collected and calculated into a mean of each category with the standard deviation describing
the accuracy of the number produced (Table. 4). Distribution of the macroinvertebrates was
summarized using relative frequency (RF= frequency of individual species / ∑ total species in
the community). All of these methods were calculated using Microsoft Excel. Total number of
individuals from urban and river stream compared to their pollution tolerance levels was also
collected, which was done so by hand counting each macroinvertebrate.
Results
Stream Ecosystem Function
Overall, the diversity of macroinvertebrate species in Little Rio Grande Creek is much
greater than the diversity in Buck Creek (Table 1). Majority of the pollution intolerant species
collected in this study were found in the Little Rio Grande Creek. Buck Creek had mostly
somewhat pollution intolerant species. 1% of the macroinvertebrates found in Buck Creek and
18% of the macroinvertebrates found in Little Rio Grande were considered pollution tolerant
species. 26% of the macroinvertebrates found in Little Rio Grande and 50% of the
macroinvertebrates found in Buck Creek were considered pollution intolerant (Table 2).
Little Rio Grande Creek had a lot more erosion along the stream bank than Buck Creek
which explains the overall width of the stream being about 2/3 greater (Tables 3 and 4). The pH
of Buck Creek is more acidic compared to the pH of Little Rio Grande Creek. Streambeds were
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not significantly different with the exception of the amount of gravel found in pools of the two
creeks and the amount of silt found in pools and riffles between the two creeks (Table 4 and 5).
Combining submerged logs, log jams and amount of allochthonous input of fallen leaves
suggest a lot more organic matter in the Little Rio Grande Creek (Table 6). The differences
between the surrounding areas of each stream are obvious as shown in the maps provided (Figure
1). We discovered more road and housing development around sections of Buck Creek and more
forestry and agriculture by Little Rio Grande. The more agriculture area resulted in a large
amount of E-coli found in the water sample that we sent in to AWRI, GVSU; Muskegon MI
(Table 4).
Macroinvertebrates between riffles and pools
Between riffles and pools, the relative frequencies of each species were much closer
together in Little Rio Grande Creek than Buck Creek (Figures 2 and 3). Riffles contained almost
two times more macroinvertebrates than pools in Little Rio Grande Creek and about one and a
half times more than pools in Buck Creek (Figure 2 and 3). Overall it seems that riffles are more
diverse in species than in pools. The midgefly larvae, mayfly larvae, damselfly larvae and
dragonfly larvae were all found mostly in the pools of both streams. Macroinvertebrates found in
mostly riffles consisted of the non-casebuilding caddisfly, stonefly, cranefly, and beetle (Figure 2
and 3).
Discussion
The qualities of both the rural and urban stream ecosystems reflected the environments
surrounding them. Little Rio Grande Creek was overall slightly under good quality but in much
better shape than the urbanized stream Buck Creek. Since most of the macroinvertebrates found
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in Little Rio Grande Creek were considered pollution intolerant, this suggests that the water has
low amounts of pollution by the nearby agriculture. However, the E-coli found in Little Rio
Grande Creek was enough to be concerned about (Table 4). Our predictions are that the high
amount isn’t always this high, or most of the pollutant intolerant species could not exist in this
stream. It was more due to the fact that we examined this stream after a great rain fall. The other
streams, Buck Creek had mostly somewhat intolerant species and secondly pollution tolerant
species, therefore the water may have a significant amount of disturbance from the urbanized
community surrounding it (Table 2) (Stepenuck et al. 2008, Selvakumar et al. 2010).
For example, our study area on Buck Creek was placed in a community park. Being
surrounded by household; most of the watersheds from these properties run right into Buck
Creek. This amount of surface runoff only increases as the wet months persist throughout the
year. The stream even runs underneath a busy road, Wilson Ave. which limits ground water
absorption even more. The stream bank of Buck Creek consists mostly of cut grass and rocks.
Our study supports this hypothesis by showing a more basic pH for the water of this stream and
more erosion along the stream bank and streambed (Table 4).
The Little Rio Grande Creek runs through a forest with a high abundance of natural plant
life and minimal human activity. Rocks and woody plants take up most of the stream bank. Most
of this watershed runs through the forest and is absorbed into ground water, picking up organic
matter for the macroinvertebrates to convert into useable energy (Selvakumar 2010). However, it
is not purely organic matter that runs into the Little Rio Grande Creek. Agriculture nearby also
influences the quality of the stream water by allowing some fertilizer runoff into the rural
watershed (Mallin et al. 2009).
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The distribution between shredder and collector species is dependent on the velocity,
thickness of the streambed sediment layer of the stream microhabitats. Shredder species were
found mostly in pool microhabitats because of the course organic matter that leaf litter supplies.
Collectors were found mostly in the riffles because of their adaptation to hold on to the
streambed and filter food out of the water that flows by (Vannote et al. 1980). There were more
macroinvertebrates found in the riffles of Buck Creek possibly because of the hypothesis Robin
L. Vannote suggests in his well-known paper, The River Continuum Concept. As the amount of
pollution increases, the width of the stream increases with erosion along with the rate in which
organic matter breaks down into smaller pieces. Collectors have a higher advantage to this
stream and will dominate over shredder species (Vannote et al. 1980).
Understanding the water quality of streams that run though a rural and urban area is
important due to our dependence on the fresh water they are supposed to provide to our
communities. Addressing the overall quality of these streams brings to light what our rural and
urban developments are doing to the environmental resources we depend on. To further
understand the impact we would study these streams in different times of the year, comparing
environmental changes throughout the seasons and the macroinvertebrate distribution that
responds. We may also study the rates in which streams may recover from certain amounts and
frequencies of disturbance. This will help us understand what may happen if we have to take
certain measures to help improve our local lotic stream ecosystems.
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Literature Cited
Blocksom, K A., Autrey, Bradley C., Passmore, M. Reynolds, L. 2008. A Comparison of Single
and Multiple Habitat Protocols for Collecting Macroinvertebrates in Wadeable Streams1.
Journal of the American Water Resources Association. 44 (3). 577-593.
Brooks, A J., Haeusler, T., Reinfelds, I., W, Simon. 2005. Hydraulic microhabitats and the
distribution of macroinvertebrate assemblages in riffles. Freshwater biology.
50 (2). 331-344.
Cummins, K W. 1979. Feeding Ecology of Stream Invertebrates. Annual Review of Ecology and
Systematics. 10. 147-172.
Linke, S. Bailey, R C., Schwindt, J. 1999. Temporal variability of stream bioassessments using
benthic macroinvertebrates. Freshwater biology. 42 (3). 575-584.
Mallin, M., Johnson, V., Ensign, S. 2009. Comparative Impacts of Storm Water Runoff on Water
Quality of an Urban, a Suburban, and a Rural stream. Environmental Monitoring and
Assessment. 159(1-4). 475-91.
Selvakumar, A.,O’Connor, P., Struck, D. 2010. Role of Stream Restoration on Improving
Benthic Macroinvertebrates and In-Stream Water Quality in an Urban Watershed: Case
Study. Journal of environmental engineering (New York, N.Y.). 136 (1). 127-139.
Stepenuck, K.F. Crunkilton, Ronald L., Bozek, Michael A., Wang, Lizhu. 2008. Comparison of
Macroinvertebrate-Derived Stream Quality Metrics Between Snag and Riffle Habitats1.
Journal of the American Water Resources Association. 44(3). 670-678.
Vannote, Robin L., Minshall, G. Wayne., Cummins, Kenneth W., Sedell, James R., Cushing,
Colbert E. 1980. The River Continuum Concept. Can. J. Fish. Aquat. Sci. 37. 130-137.
Wolf, Steven A., Klein, Jeffrey A., 2007. Enter the working forest: Discourse analysis in the
Northern Forest. Geoforum. 38(5). 985-998.
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Figure 1. Buck Creek (an urban stream) located in Grandville, Michigan and the Little Rio Grande (a rural stream) located in Muskegon, MI.
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Water P
enny
Mayfly
Stonefl
y
Case Buil
ding Cad
disfly
Sc
ud
Cranefl
y
Crayfis
h
Sowbu
g
Beetle
Larva
Non-C
ase Buil
ding C
addis
fly
Freshw
ater C
lam
Midge L
arva
Watersn
ipe
Dragon
fly
midgefly
0
5
10
15
20
25
30
RifflePool
Macroinvertebrate species
Rel
ativ
e Fr
eque
ncy
(RF)
Figure 2. Relative frequency for macroinvertebrates from the riffles Little Rio Grande Creek (rural river), October 2012.
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Mayfly
Case Buil
ding Cad
disfly
Sc
ud
Crayfis
h
Sowbu
g
Non-C
ase Buil
ding C
addis
fly
Damsel
fly Nymph
Midge L
arva
Dragon
fly
Watersc
orpion
Isopo
d
Bivalve
0
5
10
15
20
25
Riffle Pool
Macroinvertebrate species
Rel
ativ
e Fr
eque
ncy
(RF)
Figure 3. Relative frequency for macroinvertebrates from the riffles Buck Creek (urban river), October 2012.
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Table 1. Macroinvertebrate species (indicator #) sampled from an urban and rural stream in
western MI in October 2011 and November 2011.
Little Rio Grande in Muskegon, MI (rural) Buck Creek in Grandville, MI (urban)Water Penny Psephenidae (1) Mayfly Ephemeridae (1)Mayfly Ephemeridae (1) Case Building Caddisfly Hydropsychidae (1)Stonefly Perlidae (1) Non-Case Building Caddisfly Limnephilidae (2)Case Building Caddisfly Hydropsychidae (1) Scud Amphipoda (2)Scud Amphipoda (2) Dragonfly Anisoperta (2)Cranefly Tipulidae (2) Sow Bug Isopoda (2)Crayfish Decapoda (2) Crayfish Decapoda (2)Sowbug Isopoda (2) Damselfly nymph Coengrionidae (2)Beetle Larva Elimidae (2) Midge larva Chironomes (3)Non-Case Building Caddisfly Limnephilidae (2) Waterscorpion Nepidae (3)Freshwater Clam Chiondae (2) Bivalve Bivalvia (3)Midge Larva Chironomes (3)Watersnipe Arthericidae (3)Leech Hinurdinea (3)
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Table 2. Mean and standard deviation of the total number of macroinvertebrate individuals at recorded pollution tolerance levels sampled from an urban and rural stream in western Mi in October 2012.
Little Rio Grande in
Muskegon County,
MI (rural)
Buck Creek in Grandville,
MI (urban)
Indicator Group I (Pollution
Intolerant)
10.75±7.37 17.00±16.87
Indicator Group II (Somewhat
Intolerant)
23.25±12.53 17.00±14.07
Indicator Group III (Pollution
Tolerant)
7.50±7.72 0.25±0.50
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Table 3. Physical characteristics taken from an urban and rural stream in western MI in October
2012.
Buck Creek (urban) Little Rio Grande (rural)
Water Appearance Clear Muddy
Odor None None
% Coverage 30-70% >70%
% Shade 20-49% 20-49%
% Erosion 20-49% 50-80%
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Table 4. Mean and Standard Deviation of the quantitative physical measurements taken from an
urban and rural stream in western MI in October 2012.
Buck Creek
(Urban)
Little Rio Grande (Rural)
Temperature ( C)⁰ 7.842±0.051 13.088±0.031
Dissolved Oxygen (mg/l) 10.856±1.210 9.338±0.201
pH 7.700±0.758 7.813±0.035
Width (m) 5.464±2.297 5.838±2.638
Depth (m) 0.324±0.168 0.378±0.221
Velocity (m/s) 0.638±0.165 0.827±0.183
Discharge (m3/s) 5.904±8.627 3.610±1.836
E-Coli (CFU/100mL) >2420 57
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Table 5. Environmental composition taken from an urban and rural stream in western Michigan
in October 2012.
% Substrate Composition Urban Riffle Urban Pool
Rural Riffle Rural Pool
Sand 2.5 35 2.5 30
Silt 27.5 20 7.5 60
Cobble 67.5 5 85 7.5
Gravel 2.5 40 5 2.5
Conductivity (seamans) 0.715 0.713 0.441 0.449
Habitat Length (m)15.285±9.99
111.430±0.09
914.05±7.9
913.05±4.87
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Table 6. Mean and standard deviation of the environmental composition taken from an urban
and rural stream in western MI in October 2012.
Area Environment
Buck Creek in Grandville, MI (urban)
Little Rio Grande in Muskegon, MI (rural)
Submerged Logs (total) 5.0±5.657 10.5±14.849
Log Jams (total) 2.5±2.121 4.0±0.0
% Area CompositionWoody Plants 75 33Grass/Forbs 10 33Rocks 10 33Bare Soil 5 0Other 0 0