Prosimulium and Simulium in Pennsylvania

Matt Shank

2022-05-12


Background

When macroinvertebrate samples are dominated by Prosimulium and/or Simulium larvae, metric and IBI scores will be depressed at sites with little stress. Due to the low tolerance value of Prosimulium, there is a possibility that IBI scores could increase as this organism proliferates. These influences on IBI scores confound assessment determinations and may require biologists to resample the site after the seasonal larval blooms, or the biologist may have to rely on a more qualitative analysis of metric scores, sample composition, and site conditions to arrive at an assessment decision (Shull 2017).

The objective of this document is to provide guidance on spatial and temporal dynamics of Prosimulium and Simulium. Avoiding the ‘blooms’ of these taxa is desirable to prevent additional effort required to make an appropriate assessment. Additionally, we aim to provide guidance on the relative abundance of each taxa in samples from sites across a gradient of stress that would result in tenuous assessments.




Methodology

Data were queried from the SLIMS database for all samples that used Freestone/SWMMI (6-Dframe Composite, 200 subsample), Limestone (2-Dframe Composite, 300 subsample), and Multihabitat (10 Jabs, 200 subsample) methods. Samples with >= 50 organisms were retained to include heavily impacted sites (e.g. AMD) in the dataset. This resulted in 13,929 samples collected between 1999 - 2022. Samples were collected throughout all months, with most samples collected during March-May and November-December (Figure 1).


Figure 1. Temporal distribution of statewide samples, by method.


We will look at the occurrence, abundance, and spatio-temporal dynamics of Prosimulium and Simulium to provide insight into proliferation of these taxa throughout Pennsylvania as a whole, and within each DEP region.

We will also look at the influence of increasing Prosimulium and Simulium relative abundance on metric and IBI scores. We selected macroinvertebrate samples that represented different levels of stress to examine the influence of Simulidae across a stressor gradient. All collection protocols were 6D 200 subsample that can be assessed using the freestone wadeable method.

  • Low stress: Mouth of Slate Run, a tributary to Pine Creek in Lycoming County. Slate Run at this location is a 4th order stream with a drainage area of 45 square miles, which is best represented by the large freestone IBI (Shull 2017). This sample (20130422-1300-smeans) was subsampled to 184 organisms, with no Prosimulium or Simulium present. The sample received a large freestone IBI score of 98.5.

  • Medium Stress: Deer Creek near Dutton Road just north (upstream) of the Maryland border in York County. Deer Creek at this location is a 3rd order stream with a drainage area of 11.8 square miles, which is best represented by the small freestone IBI (Shull 2017). This sample (20201118-1015-ablascovic) was subsampled to 202 organisms, with no Prosimulium or Simulium present. The sample received a small freestone IBI score of 49.5.

  • High Stress: Little Kishacoquillas Creek just upstream of the confluence with Kishacoquillas Creek in Mifflin County. L. Kish Creek at this location is a 4th order stream with a drainage area of 12.2 square miles, which is best represented by the small freestone IBI (Shull 2017). This sample (20201118-1015-ablascovic) was subsampled to 216 organisms, with 3 Simulium present. The sample received a small freestone IBI score of 31.2.

The stress classifications were based on the freestone IBI scores (Table 1), with supporting rationale derived from additional land use/land cover (Table 2), physical habitat (Table 3), and water chemistry data (Table 4).

Table 1. Freestone IBI and Subsample Size.
STR_STATION_ID Stream Stress_Category Subsample Size Freestone IBI Score
20130422-1300-smeans Slate Run Low 184 98.5
20201118-1015-ablascovic Deer Creek Mid 202 49.5
20200512-1200-MifflinCCD Little Kish Creek High 213 31.2


Table 2. 2019 NLCD Land Use/Land Cover Data.
STR_STATION_ID Stream Stress_Category Cultivated Developed Forest Drainage Area
20130422-1300-smeans Slate Run Low 0.36 % 3.21 % 93.43 % 45.06 sq. mi.
20201118-1015-ablascovic Deer Creek Mid 47.79 % 25.96 % 25.05 % 12.34 sq. mi.
20200512-1200-MifflinCCD Little Kish Creek High 50.61 % 12.78 % 33.44 % 13.2 sq. mi.


Table 3. Physical Habitat Data.
STR_STATION_ID Stream Stress_Category Embeddedness Sediment Deposition Condition of Banks Bank Vegetative Protection Total Score
20130422-1300-smeans Slate Run Low 20 17 18 17 221
20201118-1015-ablascovic Deer Creek Mid 11 9 10 15 167
20200512-1200-MifflinCCD Little Kish Creek High 11 11 15 16 159


Table 4. Water Chemistry Data.
STR_STATION_ID Stream Stress_Category ALKALINITY CHLORIDE Nitrate-N PHOSPHORUS T SPC @ 25.0 C
20130422-1300-smeans Slate Run Low 9.8 mg/l 1.4 mg/l < .04 mg/l < .01 mg/l 40.50 umhos/cm
20201118-1015-ablascovic Deer Creek Mid 43.2 mg/l 44.19 mg/l 4.63 mg/l < .01 mg/l 286.00 umhos/cm
20200512-1200-MifflinCCD Little Kish Creek High 125.8 mg/l 9.0 mg/l 4.03 mg/l 0.058 mg/l 322.00 umhos/cm


For each sample, we rarefied the sample 10 times for each increment of 10 individuals, from 10 less than the subsample size down to < 10 individuals. For example, Slate Run had a subsample size of 184, we rarefied the sample in increments of 10, from 174 to 4, and replaced the remaining taxa list with either Prosimulium and Simulium. The objective of this part of the analysis was to determine the relative abundance of Simulidae taxa where the IBI score was affected to an extent equal to the temporal precision of 10 points for sites experiencing various levels of stress. We also examined the effect on each of the six individual metrics that comprise the freestone IBI score.




Statewide Temporal Dynamics

Percent Occurrence

The first measure of Prosimulium and Simulium proliferation was percent occurrence, meaning the number of samples where either taxon was present in a sample, divided by the total number of samples collected in that month.

Statewide, the patterns of percent occurrence varied for Prosimulium and Simulium. Prosimulium was most often present in samples collected between December and April. Prosimulium percent occurence was highest (>70%) in January - March. Alternatively, Simulium was most often present in samples collected between May - September, with percent occurrence peaking (>63%) in May and June (Figure 2).

Figure 2. Statewide Prosimulium and Simulium percent occurrence, by month. Grey bars in background indicate the number of samples collected per month. Blue bars in front represent the number of samples where either taxa was present. The labels above each blue bar indicates the percent occurrence for each month.



Relative Abundance

The second measure of Prosimulium and Simulium proliferation was relative abundance, which is the total number of either taxon in a sample, divided by the total subsample size, expressed as a percentage.

Statewide patterns of relative abundance were similar to patterns of percent occurrence, where relative abundance of Prosimulium was elevated in December - April, while Simulium was elevated in April - June (Figure 3).

Figure 3. Statewide Prosimulium and Simulium relative abundance, by month. Points in the background represent the relative abundance of each sample. Boxplots are superimposed to show median and upper/lower quartile values. Triangles represent the mean relative abundance for each month.

The statewide trends are revealing, but overly broad to provide actionable insight into sampling timing considerations over the vast territory of Pennsylvania. The following section looks at temporal patterns by DEP region to speak to spatial considerations.




Regional Spatio-Temporal Dynamics

A simple proliferation index was created that was the product of percent occurrence and relative abundance data for Prosimulium and Simulium. This product was rescaled on a 0 - 100 scale, which results in a comparable measure of occurrence and abundance for both taxa across months and regions.

There are 6 DEP Regional Offices throughout the state. Each Regional Office represents corresponding land area, as seen in Figures 6 and 7. The abbreviations are as follows (from east to west):

  • NERO - Northeast Regional Office
  • SERO - Southeast Regional Office
  • SCRO - Southcentral Regional Office
  • NCRO - Northcentral Regional Office
  • NWRO - Northwest Regional Office
  • SWRO - Southwest Regional Office


Prosimulium

The Prosimulium proliferation index value was highest in February for NCRO and March for the remaining regions. The months of January - March were elevated compared to other months for all regions. Index values approached 0 for May - November for all regions (Figure 4).

Figure 4. Prosimulium mean relative abundance, percent occurrence, and proliferation index, by month and region

Simulium

The Simulium proliferation index value was highest in June for SERO, SWRO, and NERO; May for NWRO and NCRO; and February for SCRO (Figure 5). Compared to Prosimulium, Index values were lower for all regions and months, meaning abundance and occurrence of Simulium is lower comparatively.

Figure 5. Simulium mean relative abundance, percent occurrence, and proliferation index, by month and region




Mapping Regional Spatio-Temporal Dynamics

Maps were generated to demonstrate the spatial component that may not have been well described using the graphics above. The maps are animated and loop through each month in chronological order. County and regional boundaries are shown. The small grey points are samples where the taxa (either Prosimulium or Simulium) were absent. Points where either taxa were present are colored and sized according to the relative abundance of the taxa in the sample (legends are present on the plot to further describe coloration and size).

Prosimulium

Figure 6. Prosimulium occurrence and relative abundance shown in map format. Background layers include county and regional boundaries.

Simulium

Figure 7. Simulium occurrence and relative abundance shown in map format. Background layers include county and regional boundaries.




Effect on IBI scores

The low stress Slate Run sample (20130422-1300-smeans) had 29 taxa present, including 62.5% Ephemeroptera, 7.6% Trichoptera, and 9.2% Plecoptera (Table 5). This sample had standardized metric scores of 100 for 4 out of 6 metrics, while Shannon Diversity and Total Richness scored 97.2 and 93.5, respectively. The overall large freestone IBI score of the sample was 98.5 (Table 6).

The mid stress Deer Creek sample (20201118-1015-ablascovic) had 17 taxa present, including 40.1% Ephemeroptera, 38.1% Trichoptera, and 2.5% Plecoptera (Table 5). This sample had standardized metric scores ranging from 7.9 (Becks Index) - 71.5 (Hilsenhoff). The overall large freestone IBI score of the sample was 49.5 (Table 6).

The high stress Little Kish Creek sample (20200512-1200-MifflinCCD) had 16 taxa present, including 11.1% Ephemeroptera, 1.4% Trichoptera, and 0% Plecoptera (Table 5). This sample had standardized metric scores ranging from 0 (Becks Index, % Sensitive) - 63.3 (Shannon Diversity). The overall large freestone IBI score of the sample was 31.2 (Table 6).

Table 5. Taxa in Samples with Various Levels of Stress.
STR_STATION_ID Stream Stress_Category TAXA NAME INDIVIDUALS PTV FFG BCG COLD BCG WARM
20130422-1300-smeans Slate Run Low Baetis 3 6 CG 4 5
20130422-1300-smeans Slate Run Low Isonychia 7 3 CG 3 3
20130422-1300-smeans Slate Run Low Epeorus 14 0 SC 2 2
20130422-1300-smeans Slate Run Low Leucrocuta 9 1 SC 3 3
20130422-1300-smeans Slate Run Low Maccaffertium 5 3 SC 3 3
20130422-1300-smeans Slate Run Low Cinygmula 3 1 CG 1 1
20130422-1300-smeans Slate Run Low Drunella 10 1 SC 2 2
20130422-1300-smeans Slate Run Low Ephemerella 26 1 CG 3 2
20130422-1300-smeans Slate Run Low Eurylophella 1 4 SC 3 2
20130422-1300-smeans Slate Run Low Serratella 28 2 CG 3 3
20130422-1300-smeans Slate Run Low Paraleptophlebia 9 1 CG 2 2
20130422-1300-smeans Slate Run Low Lanthus 3 5 PR 2 2
20130422-1300-smeans Slate Run Low Leuctra 3 0 SH 2 2
20130422-1300-smeans Slate Run Low Paragnetina 1 1 PR 2 2
20130422-1300-smeans Slate Run Low Isoperla 10 2 PR 2 2
20130422-1300-smeans Slate Run Low Dolophilodes 1 0 FC 2 2
20130422-1300-smeans Slate Run Low Wormaldia 2 0 FC 1 1
20130422-1300-smeans Slate Run Low Polycentropus 1 6 FC 4 4
20130422-1300-smeans Slate Run Low Diplectrona 1 0 FC 2 2
20130422-1300-smeans Slate Run Low Cheumatopsyche 8 6 FC 5 5
20130422-1300-smeans Slate Run Low Hydropsyche 1 5 FC 5 5
20130422-1300-smeans Slate Run Low Rhyacophila 1 1 PR 2 2
20130422-1300-smeans Slate Run Low Lepidostoma 2 1 SH 2 2
20130422-1300-smeans Slate Run Low Optioservus 2 4 SC 4 4
20130422-1300-smeans Slate Run Low Promoresia 2 2 SC 3 2
20130422-1300-smeans Slate Run Low Antocha 1 3 CG 4 4
20130422-1300-smeans Slate Run Low Hexatoma 2 2 PR 3 3
20130422-1300-smeans Slate Run Low Chironomidae 27 6 CG 5 5
20130422-1300-smeans Slate Run Low Cambaridae 1 6 CG 4 4
20201118-1015-ablascovic Deer Creek Mid Isonychia 61 3 CG 3 3
20201118-1015-ablascovic Deer Creek Mid Maccaffertium 12 3 SC 3 3
20201118-1015-ablascovic Deer Creek Mid Ephemerella 8 1 CG 3 2
20201118-1015-ablascovic Deer Creek Mid Taeniopteryx 2 2 SH 3 3
20201118-1015-ablascovic Deer Creek Mid Allocapnia 3 3 SH 3 3
20201118-1015-ablascovic Deer Creek Mid Chimarra 2 4 FC 4 4
20201118-1015-ablascovic Deer Creek Mid Cheumatopsyche 34 6 FC 5 5
20201118-1015-ablascovic Deer Creek Mid Hydropsyche 37 5 FC 5 5
20201118-1015-ablascovic Deer Creek Mid Neophylax 4 3 SC 3 3
20201118-1015-ablascovic Deer Creek Mid Psephenus 1 4 SC 4 4
20201118-1015-ablascovic Deer Creek Mid Optioservus 14 4 SC 4 4
20201118-1015-ablascovic Deer Creek Mid Oulimnius 3 5 SC 3 2
20201118-1015-ablascovic Deer Creek Mid Stenelmis 1 5 SC 5 5
20201118-1015-ablascovic Deer Creek Mid Antocha 4 3 CG 4 4
20201118-1015-ablascovic Deer Creek Mid Chironomidae 13 6 CG 5 5
20201118-1015-ablascovic Deer Creek Mid Platyhelminthes 1 9 PR 5 5
20201118-1015-ablascovic Deer Creek Mid Clitellata 2 10 CG 5 5
20200512-1200-MifflinCCD Little Kish Creek High Acentrella 1 4 SC 3 3
20200512-1200-MifflinCCD Little Kish Creek High Baetis 15 6 CG 4 5
20200512-1200-MifflinCCD Little Kish Creek High Stenacron 1 4 SC 4 4
20200512-1200-MifflinCCD Little Kish Creek High Stenonema 7 4 SC 4 4
20200512-1200-MifflinCCD Little Kish Creek High Ischnura 1 9 PR 4 4
20200512-1200-MifflinCCD Little Kish Creek High Hydropsyche 3 5 FC 5 5
20200512-1200-MifflinCCD Little Kish Creek High Agabus 1 5 PR 4 4
20200512-1200-MifflinCCD Little Kish Creek High Psephenus 4 4 SC 4 4
20200512-1200-MifflinCCD Little Kish Creek High Dubiraphia 3 6 SC 4 4
20200512-1200-MifflinCCD Little Kish Creek High Optioservus 7 4 SC 4 4
20200512-1200-MifflinCCD Little Kish Creek High Stenelmis 13 5 SC 5 5
20200512-1200-MifflinCCD Little Kish Creek High Simulium 3 6 FC 5 5
20200512-1200-MifflinCCD Little Kish Creek High Chironomidae 81 6 CG 5 5
20200512-1200-MifflinCCD Little Kish Creek High Clitellata 3 10 CG 5 5
20200512-1200-MifflinCCD Little Kish Creek High Gammarus 68 4 CG 4 4
20200512-1200-MifflinCCD Little Kish Creek High Caecidotea 5 6 CG 5 5
Simulidae Info Simulidae Info Prosimulium 0 2 FC 3 3
Simulidae Info Simulidae Info Simulium 0 6 FC 5 5



Table 6. Metrics in Samples with Various Levels of Stress.
STR_STATION_ID Stream Stress_Category Metric Score
20130422-1300-smeans Slate Run Low % Sensitive Individuals (PTV 0-3) 100.0
20130422-1300-smeans Slate Run Low Becks Index (version 3) 100.0
20130422-1300-smeans Slate Run Low EPT Richness (PTV 0-4) 100.0
20130422-1300-smeans Slate Run Low Hilsenhoff Biotic Index 100.0
20130422-1300-smeans Slate Run Low Shannon Diversity 97.2
20130422-1300-smeans Slate Run Low Total Richness 93.5
20130422-1300-smeans Slate Run Low Large Freestone IBI Score 98.5
20201118-1015-ablascovic Deer Creek Mid % Sensitive Individuals (PTV 0-3) 55.0
20201118-1015-ablascovic Deer Creek Mid Becks Index (version 3) 7.9
20201118-1015-ablascovic Deer Creek Mid EPT Richness (PTV 0-4) 36.8
20201118-1015-ablascovic Deer Creek Mid Hilsenhoff Biotic Index 71.5
20201118-1015-ablascovic Deer Creek Mid Shannon Diversity 74.5
20201118-1015-ablascovic Deer Creek Mid Total Richness 51.5
20201118-1015-ablascovic Deer Creek Mid Small Freestone IBI Score 49.5
20200512-1200-MifflinCCD Little Kish Creek High % Sensitive Individuals (PTV 0-3) 0.0
20200512-1200-MifflinCCD Little Kish Creek High Becks Index (version 3) 0.0
20200512-1200-MifflinCCD Little Kish Creek High EPT Richness (PTV 0-4) 15.8
20200512-1200-MifflinCCD Little Kish Creek High Hilsenhoff Biotic Index 59.4
20200512-1200-MifflinCCD Little Kish Creek High Shannon Diversity 63.3
20200512-1200-MifflinCCD Little Kish Creek High Total Richness 48.5
20200512-1200-MifflinCCD Little Kish Creek High Small Freestone IBI Score 31.2


Prosimulium

Prosimulium is relatively intolerant of organic pollution and has a tolerance value (TV) of 2. Therefore standardized metrics associated with TVs (% Sensitive Individuals (PTV 0-3) and Hilsenhoff Biotic Index) are unaffected by increasing relative abundance of Prosimulium in the low stress (Slate Run) sample. However, the same metric scores in mid and high stress samples actually increase with increasing Prosimulium relative abundance. The remaining metrics associated with diversity and richness decrease with increased relative abundance, although the effects are differential dependent on stress class (Figure 8).


Figure 8. Metric Scores in Rarefied Samples with Increasing Prosimulium Relative Abundance.


In the low stress sample, the large freestone IBI score is decreased by 10 points (equal to the method’s temporal precision) when Prosimulium relative abundance is approximately 55%. The mid stress sample is slightly elevated when replaced with Prosimulium until relative abundance approaches 70%, when IBI scores begin to decrease. The IBI score of the mid stress sample decreases by 10 points at approximately 95% relative abundance of Prosimulium. The high stress sample IBI scores increases by 10 points at approximately 50% Prosimulium relative abundance. Of note, when Prosimulium approaches 100% relative abundance, the IBI score is in the high 30s to low 40s for all stress classes due to the low tolerance value of the organism (Figure 9).

Figure 9. Freestone IBI Scores in Rarefied Samples with Increasing Prosimulium Relative Abundance.

Simulium

Simulium is more tolerant of organic pollution, with a TV of 6. Therefore standardized metrics associated with TVs are affected by increasing relative abundance of Simulium throughout all stress classes. The remaining metrics that are associated with diversity and richness show decreasing scores with increased relative abundance in a similar manner to Prosimulium (Figure 10).


Figure 10. Metric Scores in Rarefied Samples with Increasing Simulium Relative Abundance.


Due to the increased effect of Simulium on metrics associated with TVs, a lower relative abundance of Simulium is needed to cause a 10 point decrease in freestone IBI scores throughout all stress classes. The relative abundance of Simulium needed to reach this 10 point decrease is approximately 35% of the low stress sample sample, with higher relative abundances needed for mid and high stress samples. When Simulium approaches 100% relative abundance, the IBI score is around 10 - 20, which is lower than when Prosimulium is present in similar proportion (Figure 11).

Figure 11. Freestone IBI Scores in Rarefied Samples with Increasing Simulium Relative Abundance.


The relative abundance of Simulium required to affect the freestone IBI score to an extent equal to the method’s temporal precision (10 points) is ~50% for low and high stress samples. Interestingly, the 50% relative abundance causes a decrease in IBI score in the low stress sample, but and increase in the high stress sample. The mid stress sample is not affected +/- 10 points until Simulium relative abundance is apprximately 95% (Figure 12).

Conversely, increasing relative abundance of Simulium results in reductions in IBI scores across all stress classes. The relative abundance of Simulium needed to reduce IBI scores by 10 points is approximately 30% in the low stress sample, 50% in the mid stress sample, and 70% in the high stress sample (Figure 12).

Figure 12. Magnitude of Changes in Freestone IBI Scores in Rarefied Samples with Increasing Simulium Relative Abundance.





Implications

The long period (1999 - 2022) and large number of samples (n = 13,929) included in this analysis is intended to mute any atypical observations caused by anomalous seasonal and/or climatic events. The majority of samples collected statewide using all methods were in the months of March - May and November - December.


The proliferation index indicates that Prosimulium is most likely to become problematic in the NCRO in January and February. Prosimulium peaks in remaining regions in March. Proliferation index values for Simulium are lower across all regions compared to Prosimulium. However, due to the larger effects of Simulium on IBI scores, lower proliferation index values could result in undesired effects on assessments. Fortunately, Simulium peaks are highest in June, and DEP generally avoids collection of macroinvertebrate samples in summer months for riffle/run and low gradient methods. Only the limestone method includes June in the method index period. Due to the spatio-temporal dynamics of these organisms, samples should be collected with caution during the following times and locations:

  • Prosimulium peak
    • January and February in the NCRO
    • March in the remaining regions
  • Simulium peak
    • February in the SCRO
    • May in the NWRO and NCRO
    • June in the SERO, SWRO, and NERO


Irrespective of the stress present at a site, when samples are collected and identified, scores and assessments should proceed with caution when Prosimulium relative abundance approaches 50%. Scores could be decreased in low stress settings or increased in high stress settings to an extent exceeding the temporal precision of the freestone IBI method.

Increasing Simulium relative abundance causes decreases in samples across all stress classes. However, the threshold of Simulium relative abundance that causes a 10 point score decrease varies. Scores and assessments should proceed with caution when Simulium relative abundance approaches:

  • 30% in low stress settings,
  • 50% in moderately stressed settings,
  • 70% in the high stress settings

The thresholds of Prosimulium and/or Simulium relative abundance that would require the investigating biologist to consider resampling or rely on other quantitative analyses as per Shull 2017 varies by the stress present at the site. An investigation into stress can be done as demonstrated above, using IBI and/or metrics scores, land cover data, physical habitat data, and water chemistry data to provide useful information on the background stress levels.