1 / 51

Sustaining Lakes in a Changing Environment (SLICE) and its “so-called” sentinel lakes

Sustaining Lakes in a Changing Environment (SLICE) and its “so-called” sentinel lakes Ray Valley and Don Pereira. THE “So- Called” CONTEXT. If we rely on speculation regarding why this lake is impaired rather because we don’t have long-term datasets, we occupy the invisible present.

marvin
Download Presentation

Sustaining Lakes in a Changing Environment (SLICE) and its “so-called” sentinel lakes

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Sustaining Lakes in a Changing Environment (SLICE) and its “so-called” sentinel lakes Ray Valley and Don Pereira

  2. THE “So-Called” CONTEXT

  3. If we rely on speculation regarding why this lake is impaired rather because we don’t have long-term datasets, we occupy the invisible present

  4. If we focus exclusively on what we can put in the lake to “clear it up” and not deal with watershed-scale impacts, we occupy the invisible place

  5. SLICE - Revealing the Invisible Present and Place

  6. The Sentinel Lakes

  7. Talk Outline • The Why - History, motivations, and aims of program • The What - Program design and sentinel lake selection • The How - Data collection activities and partnerships • The So What – Preliminary Findings

  8. Talk Outline • The Why - History, motivations, and aims of program • The What - Program design and sentinel lake selection • The How - Data collection activities and partnerships • The So What - Lessons learned

  9. “Glacieresque” Transformations of the 21st Century

  10. Source: Startribune Shoreline Transformations

  11. Watershed Transformations

  12. Hydrological Transformations

  13. Human accelerators of species spread

  14. Climate Change J. Jaschke

  15. Consequences on Resilience • Cumulative impacts of stressors • Stressors to watersheds • Ditching, draining, channeling, • Impervious surface • Withdrawing & damming • Alterations to lakes • Overharvest/Overstocking • Removal of structure • Disturbance from watercraft • Time Lags • Hysteresis – “can’t go back” • Positive feedbacks Cumulative impacts of stressors System “state” Scheffer and Carpenter 2003

  16. Reality Bites! In a lot of systems there’s no “going back.” Our expectations and management approach for these systems should be different for systems largely “intact”

  17. Enter SLICE – informing expectations and appropriate mgt responses We ask: • In highly altered systems, how can we realistically improve water quality and provide a self-sustaining recreational fishery? • In high integrity systems, what watershed and in-lake factors are contributing to their resilience, and how can we keep those resilience mechanisms intact? • Early Detection and Rapid Response indicators What indicators tell us “all is not well” and indicate whether our responses are making a difference?

  18. Sustaining Lakes in a Changing Environment (SLICE) • Program aims to: • Timely detect change to habitat conditions and species population communities • Understand and project what is/will come into our lakes (watershed modeling) • Understand and project the ultimate fate of external and internal loads (limnological modeling) • Facilitate structured decision-making and adaptive management

  19. Talk Outline • The Why - History, motivations, and aims of program • The What - Program design and sentinel lake selection • The How - Data collection activities and partnerships • The So What - Lessons learned

  20. Phase 1 (Pilot; 2008-2011): • Pilot phase • Establish network of sentinel lakes • Partnership and infrastructure building • Independent research projects to assess specific questions • Indicator ID Eating the elephant one bite at a time! chrisnierhaus.com

  21. Economists use a large number of indicators to gage the “health” of the economy

  22. Lakes should be no different • Maximum depth of vegetation growth • Growing Degree Days • Temperature at Dissolved Oxygen = 3 mg/L • Density of Daphnia > 1 mm long • Fish Index of Biotic Integrity • Proportion of lake volume conducive to growth of coolwater fish • Proportion of warm water species guilds in net catches • Total Phosphorus • Frequency of occurrence of curly-leaf pondweed • Catch per effort of common carp • Bluegill age at maturation • Catch per effort of large largemouth bass • Proportion of microcystis algae to chl a • Proportion of lake volume that is hypoxic • Aquatic Plant Index of Biotic Integrity • Secchi water clarity

  23. Phase 1 (Pilot; 2008-2011): • Pilot phase • Establish network of sentinel lakes • Partnership and infrastructure building • Independent research projects to assess specific questions • Indicator ID • Phase 2 (2012-2016) • Using lessons learned in Pilot to guide operational program Eating the elephant one bite at a time! chrisnierhaus.com

  24. Adaptive Management Process Phase 1: Oct – Jan 2006/2007 Phase 2 Assess problem Phase 1 Op plan Adjust Design May-Jun 2007 Evaluate Implement Monitor Apr. 2008 2008-2011

  25. Experimental Design

  26. Three R’s of Statistical Study Design • Realism • Randomization • Representation Population Sample Inference

  27. Objective of SLICE:Annual inference of status and trends in lake indicators at the Landscape Scale

  28. SLICE Design = “Split-Panel”

  29. Panel 1: Sentinel Lakes (2008 - ) • Stratified sampling design • Figurative Approach: “6-in wide, 1 mile deep” • Monitoring system-wide changes at a fine temporal resolution in a small number of systems spread across the state • Tracking coherent dynamics (e.g., are things behaving similarly across large scales?) • Cause-effect inference • Forecast modeling w/ cont. verification Year 1 2 3 4 5 6 7 8 = The network of sentinel lakes

  30. Panel 2: “Random” surveys (2013 - ) • Stratified – Random (Strata = Landtype) • Approach: “1 Mile-wide 6” deep” • Focus is on maximizing lakes sampled, minimal time spent at each one. • Combination with Sentinel panel is powerful for robust inference of status across time and space • Will focus on utilizing datasets from other ongoing monitoring programs Year 1 2 3 4 5 6 7 8 = Group of Lakes

  31. Sentinel Lake Selection

  32. Sentinel Lake Selection intent: evaluate status and trends over a gradient of lake conditions 1. Landtype x 4 2. Mixing x 2 3. P-Concentration x 3

  33. Other considerations with final candidate pool • PCA “reference” lake • Other historical datasets • Paleolimnology • Rich lake survey history • Unique partnership opportunities • Active local water monitoring programs

  34. Sentinel Lake Characteristics (ranges)

  35. Talk Outline • The Why - History, motivations, and aims of program • The What - Program design and sentinel lake selection • The How - Data collection activities and partnerships • The So What - Lessons learned

  36. What we’re measuring Aquatic Plants Fish

  37. Research Questions & Partnerships • Merging of aspects of DNR, PCA, and SNF lake survey programs (operational funds) • Super-sentinel research • “What if” modeling of landscape and climate change on water quality and oxythermal habitat in three lakes (Carlos, Elk, Trout) • ENTF funded w/ USGS match • USGS (PI Dr. Richard Kiesling) • Reconstruction of water quality and correlations to past climate cycles and land use changes • Cold water sentinel lakes • SCWRS (PI Dr. Mark Edlund) • ENTF funded

  38. Research Questions & Partnerships • Cisco population assessment methods and biology • Evaluation of hydroacoustic sampling tools • UMD (PI Dr. Tom Hrabik) • ENTF funded • Indicator research project • signal:noise ratio • best survey methods for robust snapshot of status • Aspects of entire lake ecosystem measured • Game and Fish Fund, Fed-Aid reimbursement

  39. “If you build it, they will come” • A platform for interdisciplinary study of lakes • Independent “off-shoot” projects focused on: • Cold-water fish and habitat • Historical reconstructions of water quality and zooplankton • Zooplankton patterns • Groundwater-surface water interactions • “Free” Analysis off of our “Free” data • Projects, investigators, lakes involved, and contact info is being tracked on SLICE web page

  40. Serendipity: Curly-leaf pondweed case study • Been here for 100 years • Widespread throughout S and central MN and moving north. • Grows under ice and needs some winter light • Can grow abundantly and form mats early in spring in nutrient-rich lakes • In warm nutrient-rich lakes, dies off by early summer and algae blooms typically follow. • Expected to benefit from shorter winters and earlier springs

  41. Growing Degree Days Departure from Normal Expectation: 2010 should have been a gangbuster CLP year

  42. WRONG!

  43. In Conclusion… • SLICE is unveiling the invisible present and place • Preparing for rather than reacting to change • Situational awareness – detecting change quickly and the scale its occurring • Sentinel Lakes as ongoing sites of learning and a platform for interdisciplinary explorations

More Related