Supporting Research
White Pond Summary Report
Nancy J. Leland, 2020
Lower Mill Pond Food Web Study
Nancy J. Leland, 2020
A proactive monitoring program can anticipate adverse conditions through the use of early warning signals that describe the growth of cyanobacterial populations. These important signals include the onset of early log phase growth and the timing of this growth in the different populations.
See Research and Findings for more information on cyanobacterial net growth rates.
Cyanobacterial biomass (PC) has been shown to be correlated with cyanotoxin concentrations, including microcystin (MC) in Microcystis dominated systems and anatoxin-a (ATX) in Dolichospermum dominated systems.
We know that natural populations will respond to change in their surroundings. Inhabitants of aquatic systems are especially adept at this, making observable changes in a matter of hours, days and weeks. Some serve as sensitive indicators while others are more resilient. Of particular interest are the changes made by zooplankton and phytoplankton, with an emphasis on cyanobacteria.
Using metrics developed within the cyanoCasting™ Program, we describe changes in a broad range of organisms within a waterbody, including single celled and large multi cellular cyanobacteria and microscopic animals.
Nancy J. Leland, 2020
Nancy J. Leland, 2020
Our Toxin Calculator estimates toxin concentrations and forecasts bloom conditions 7-10 days in advance of their appearance by using field data from over 150 sites across New Hampshire, New York and Massachusetts since 2015.
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