Eric Null, Conemaugh Valley Conservancy, "Incorporated Data Logger and Biological Monitoring to Diagnosis Stream Pollutants and Aid in Reclamation Efforts"
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The document discusses the integration of data logging and biological monitoring for diagnosing stream pollutants and supporting reclamation efforts. It highlights that combining these two methodologies provides comprehensive insights into water quality and pollutant sources by analyzing macroinvertebrate diversity and fish populations alongside conductivity and other data. Ultimately, it emphasizes that while individual data sets are valuable, their combination enhances the understanding of pollution dynamics in streams.
Eric Null, Conemaugh Valley Conservancy, "Incorporated Data Logger and Biological Monitoring to Diagnosis Stream Pollutants and Aid in Reclamation Efforts"
- 1. Incorporating Data Logger and Biological Monitoring to Diagnose Stream Pollutants and Aid in Reclamation Efforts By Eric Null Aquatic Biologist Conemaugh Valley Conservancy
- 2. Data Logger and Biological Monitoring • Two Very Powerful Tools for Pollution Monitoring • Biological Sciences and Data Logging Technology are Advancing Rapidly • Both are Long Term Monitoring Practices • When Used Together They can Produce Powerful Data
- 3. An Introduction on How to Drill Into the Data
- 5. The Unique Qualities of Data Logger Data • Data Logger Data Sets are Immense • Logging Intervals Must Be Short To Capture Episodes (15 min) • This Data can not be Looked at Like Grab Data • Averages Change Drastically • Full Stream Behavior is Seen • Eyes Going Crossed and Migraines are Symptoms
- 6. Every Stream is Different
- 7. Spikes and Valleys • Can be Caused Naturally or by Disturbance • Frequency and Duration can Determine Between Causes
- 8. Stream A
- 9. Stream B
- 10. Biological Data
- 11. Macroinvertebrates • Macroinvertebrate Taxa Act Like Letters in the Alphabet that can Spell Out Pollutants • Certain Taxa only Thrive in Certain Polluted Conditions • Abundance and Diversity Can Determine the Type of Pollutant
- 12. Spelling Test • Your Stream is Dominated by the following Taxa, What is the Pollutant ? – Amphinemura – Cheumatopshche – Ilybius – Diptera – ACID Impacts
- 13. Another Stream • Your Stream is Dominated by the following Taxa, What is the Pollutant ? – Hydropsyche – Odonates – Tabanus – This Stream has Thermal Pollution, It is HOT
- 14. One More • Take a Guess what is Wrong Here – Psilotreta – Oligochaeta – Ochlerotatus – You guessed it Organics and Sewage
- 15. Fish Data • Fish Abundance and Diversity can Determine Pollution • Fish Disappear Before Macroinvertebrates in Polluted Streams • Different Fish Life Stages are impacted by Different Pollutants
- 16. Cross Referencing Biological and Data Logger Data to Diagnose the Pollutant • This is When Both Make More Sense • Conductivity and Other Parameters Influence Community Structure • The Community Structure Indicates What is causing the Conductivity and Other Parameters to Behave the way they are Behaving
- 17. Stream A Logger Data Biological Data • Macroinvertebrates – Extremely Low Numbers of Individuals – Poor Diversity – Acid Tolerant Taxa • Fish – All Juveniles – Low Numbers of Individuals – Ok Diversity
- 18. Stream A • Pulsing Spikes with a Constant Occurrence • Depressed Biological Communities • No Adult Fish • Pollution Tolerant Macroinvertebrates • ACID and METALS
- 19. Stream B Data Logger Data Biological Data • Macroinvertebrates – High Biomass and Individuals – Low Diversity – Organic and Acid Tolerant Black Fly Taxa were Dominant – Most Taxa Collected were Pollution Tolerant
- 20. Stream B • Large Conductivity Spikes • High Biomass and Abundance • Low Diversity of Macros • Acidophilic Macroinvertebrates • ORGANICS AND ACID
- 21. Stream C (The Hard One) Data Logger Data Biological Data • Macroinvertebrates – Low Diversity and Numbers – Acid Tolerant Taxa • Fish – Low Diversity – Acid Tolerant Taxa – White Sucker/Creek Chub
- 22. Stream C • Consistent Mid Level Conductivity • Low Macroinvertebrate Diversity and Abundance • Low Fish Abundance and Diversity • Pollution Tolerant Taxa (Fish and Macros) • Episodic Acidification with Alkalinity Replacement by Metals and Acidity
- 23. Stream D Data Logger Data Biological Data • Macroinvertebrate – Very High Diversity – Very High Abundance – Dominated by Pollution Intolerant Taxa – No Organic Loading
- 24. Stream D • Very Consistent and Low Conductivity • Very Diverse Macroinvertebrate Community • Volunteers and Staff Very Excited to Electrofish in 2015 • HIGH QUALITY H2O
- 25. Conclusions • Data Logger and Biological Data on their Own are Powerful Assessment Tools • When Combined they can be used Very Effectively to Isolate Individual Pollutants • Data Sets May Appear Confusing at First, but Over Time Become Easier to Interpret • Using Both can Better Interpret Each Individual Data Set
- 26. Questions?