Paradise Lake Improvement Board (MI)

Contour Innovations has recently adapted the ciBioBase platform and pricing options to support the mapping initiatives of local government units, home owner associations, and improvement boards.  One of the most recent additions to this project has been the Paradise Improvement Board in Carp Lake, MI (Lower Peninsula) and we’re excited about it!*

The Paradise Lake Improvement Board (paradiselakeimprovementboard.com), through crowd sourcing and citizen science concepts, can now quickly determine the location and abundance of aquatic vegetation for management interventions and quantitative evaluation of the effectiveness of those techniques.   

There’s no technical expertise required!  Our biologists walked the volunteers of the PLIB through a demo account to demonstrate the key features for success with ciBioBase and discuss the recommended settings and collection techniques.    

 
 It’s this simple

Led by board member Catherine Freebairn, the PLIB purchased 2 Lowrance™ HDS units that will be set up as portable units for the lake group and an unlimited upload subscription to ciBioBase.com.  These units will be used to map Paradise Lake during dedicated mapping time as well as during pleasure cruises with passive collection.  With each minute on the water, the PLIB volunteers will be collecting vital statistics on aquatic vegetation, bathymetry, water temps, water volumes, and water clarity, all by hitting “log sonar” on their new HDS sonar units.  All of this data will be stored in their private online account. 
Aquatic biologist Ray Valley commented, “Protecting our lakes demands understanding of what lies beneath the surface and how its changing as a result of environmental changes and our responses to them.”
Using the innovative ciBioBase System, the PLIB has started building a historical database of their aquatic environment to monitor vegetation abundance and other important water quality characteristics over time.   They can now quickly determine the location and abundance of submerged aquatic vegetation for management interventions and quantitative evaluations of effectiveness of those techniques.  This database is the catalyst for efficient management today and in the future.  By gathering  this data each time someone is on the lake, the Board can crowd source the mapping effort and share information with their service providers for collaborative and objective decision making.  

“The PLIB has always shown a substantial passion for their lake and we feel that their early adoption of our powerful technology will be rewarded on many fronts,” said Contour Innovations’ CEO Matt Johnson.  “It’s very easy to work with groups like the PLIB who see the big picture in lake management and monitoring and want to see results.  They develop close relationships with their service providers and home owners to work hand-in-hand in understanding the best opportunities to reach their goals.  This is the first time that groups like this can use acoustics for accurate vegetation mapping and ciBioBase fits perfectly within their strategy,” he added.  

The PLIB will be working with their service providers (who will also have access to uploads and maps) to make important management decisions, monitor changes, and objectively evaluate if management interventions are having their desired effects.  With the support of all involved, including Contour Innovations’ own aquatic biologists, the future looks bright for Paradise Lake and anyone that enjoys all it has to offer!
 An Example of a Lake Mapped with ciBioBase
 Aquatic Vegetation Displayed in % BV (water column occupied by plants)

If you’re interested in finding out more about ciBioBase and how it can help your association or improvement district, please contact us and we’d be happy to set up a person demo for you with one of our biologists.  Please contact Jesse Amo for additional details:  JesseA@ContuourInnovations.com

For more information on the Paradise Lake Improvement Board please check out their website at paradiselakeimprovementboard.com.

*Contour Innovations does not release personal information about our customers.  We obtained permission from the PLIB before this media release.

What’s this Kriging Business?!

Thanks to advances in Geographic Information Systems (GIS) computing technology, evaluating changes to lake bottoms over time has gotten much easier!  Prior to GIS, biologists and surveyors would go through great pains to ensure that repeated data collection in study areas of interest would precisely fall on the same area or transect.  If this condition was not met, data would have to be thrown out because biologists could never be sure that the difference seen between two time periods was real, an artifact of sampling a different area, or a product of sampling in a different way.  Consequently, efforts from multiple groups collecting similar data in the same system but in a slightly different way could not be leveraged.  This is an unfortunate missed opportunity that BioBase uniquely handles.

First, BioBase uniformly interprets acoustic signals and the output is the same regardless of the skill level of the individual collecting the data.  Second, BioBase employs kriging to create a statistically robust uniform map output that figuratively turns Survey 1 by Bob Smith from an orange into an apple and Survey 2 by Amy Johnson in the same area from a grapefruit into an apple.  This is unique to kriging which is a geostatistical procedure.  All other standard interpolation methods are simply 3D representations of the input data and each map will look different depending on the precise location of your survey points.  Only kriging turns different fruits into apples.

Continue reading “What’s this Kriging Business?!”

Crowd Sourcing Lake Mapping

Natural Resource Managers and Climatologists have long recognized the critical importance of observer networks and volunteer citizen monitoring.   With citizen monitoring networks, Managers and Scientists acquire useful data for making more informed predictions and management decisions, while involved citizens gain an ownership stake in building the knowledgebase about the condition of ecosystems and the climate.

Citizen protocols for water quality (e.g., Secchi clarity) and meteorology (e.g., rainfall) data collection are largely objective and are becoming increasingly standardized throughout the nation.  As a result, comprehensive datasets are being merged at large geographic scales to assess the current status and trajectory of water resource and climate conditions.  Despite well-intentioned citizen programs to map and monitor aquatic plants in several US states, most are subjective and non-standardized.  Consequently, results will differ across surveyors, systems, and geographic regions.  This strongly limits the power and usefulness of data collected from these programs.   This is unfortunate because of the importance of aquatic plants for fish habitat and water clarity, and the vulnerability of lakes to invasive aquatic plants.

Contour Innovations has addressed this issue with ciBioBase and is poised to revolutionize citizen aquatic plant monitoring.

Objective data collection and analysis

Few others cover more water than citizens living on lakes.  Why not capture information about bottom conditions while on a pleasure cruise or fishing?  With only a modicum of planning, the lake could be divvied up among users to ensure consistent and uniform coverage.  By loading in a $10 SD card into the slot on a Lowrance HDS unit and hitting record while driving over areas of interest, lake citizens are well on their way to collecting important information on aquatic plant growth.  After a trip, citizens upload the recorded files to ciBioBase’s cloud-based servers which will trigger algorithms to automatically analyze bottom and plant signals, map the output and match it up with your sonar viewer (Figure 1).  Pretty maps? Absolutely! But also, objective statistical reports that summarize the plant growth conditions (e.g., percent cover, biovolume; Figure 2).  By sampling the same area over time, citizens can objectively monitor change as environmental conditions change.  Further, these efforts will provide objective benchmarks by which to evaluate watershed, shoreline, and in-lake management efforts. 
Figure 1. Automated mapping of bottom and vegetation signals matched up a high resolution DownScan sonar trip replay. 
Figure 2. Excerpt from ciBioBase automated statistical summary report.


Data that most closely corresponds to water quality, fish habitat, and nuisance conditions


Prior to ciBioBase, lake citizens, service providers, and natural resource agencies had little choice but to express plant growth in the lake as “abundant” or “sparse” with sophistication ranging up to digitally drawn maps around the outside of plant beds that they could see from looking over the side of the boat or from an aerial photo.  Anything that could not be seen with the naked eye or from an aerial photograph was ignored.  Quantification was limited to what could be pulled up with a rake and expressed as a presence/absence  metric of frequency of occurrence.
From a water quality and fish habitat perspective, these methods have left the fishery and water resource manager, lakeshore owner, and angler wanting.  Traditional plant assessment methods as described would give the same value to the strikingly contrasting environments depicted in Figure 3).  In the panel on the left, plants only occupy approximately 60% of the water column.  There are adequate hiding places for prey and room for predators to swim around in search of prey.  Plants are adequate to anchor sediments and prevent stirring of sediments that can make the lake murky.  Last but not least, a boat can easily pass through without disturbing the habitat.  Contrast this with the panel on the right.  Although the visual delineation or rake throw prescribed by traditionalists would give the same information on density as the panel on the left, fish habitat and water recreation conditions are strikingly different between the two environments.  In this simulated invasive aquatic plant community (e.g., Eurasian watermilfoil or Hydrilla) without any edge, predatory fish have difficulty finding prey, boat propellers are stopped in their tracks and outboard impellers imperiled!  Essentially, the differences described between the environments in Figure 3 can be summarized in the ciBioBase biovolume maps and statistical outputs.  Ask your service provider or local water resource manager how they measure aquatic plant growth conditions in your favorite lake and evaluate whether they stack up to what ciBioBase provides.
Figure 3.  Contrasting aquatic plant environments that are often represented equally in traditional assessment methods.  On the left is growth that typifies a diverse, native aquatic plant community as opposed to topped-out growth that typifies invasive plant communities.  By mapping biovolume (percent of water column occupied by vegetaton), ciBioBase distinguishes the differences between these plant communities.
Centralized database – Apples to Apples

All data uploaded to ciBioBase are processed uniformly in a centralized database and made available to subscribers in a private organizational account.  Data from Lake Minnetonka in Minnesota can be compared with data from East Lake Tohopekaliga in Florida or data from Esthwaite Water in the UK and comparisons will be apples to apples.  The centralization feature of ciBioBase comes with these tangible benefits as well as intangible ones like fostering greater collaboration between groups interested in aquatic resource conservation.
Merged uniform outputs from multiple surveyors

A new buzzword has been entering the vernacular of natural resource managers called “precision conservation” brought on by advances in aerial photography, lasers (LiDAR), automated sensors, and greater computing power.  We can now identify miniscule areas on the landscape that are sources of runoff and pollution and strategically target those areas to install “Best Management Practices” or BMP’s like rain gardens or grit chambers.  However, thus far the dialog surrounding precision conservation has largely been terrestrial.  ciBioBase is bringing precision conservation to lakes through its merge trips function (Figure 4).
As ciBioBase account managers our users can compile trips from subscribers within their  organization to create a highly precise map of bottom and vegetation (Figure 4).  This division of labor describes the essence of this blog’s title whereby the collective efforts or intelligence of the many are more powerful than any one individual.  No one person is willing or able to track how the lake is changing from day to day as runoff from an increasingly common 4-in rain comes streaming (literally) in, but a dozen active citizens might.  The result is a near real-time data feed on changes in lake conditions that will greatly inform how the lake responds to environmental change, where to target conservation efforts, and whether implemented management policies are producing their desired effects.
Figure 4. Multiple citizens in the same organization can work together by merging trips, thereby creating the most accurate bottom and plant map on the face of the planet!