JASM ABSTRACTS SWS CONTRIBUTIONS TO THE PROCEEDINGS OF THE JOINT AQUATIC SCIENCES MEETING 2022 In lieu of our standard annual Society of Wetland Scientists conference, this year we participated in the 2022 Joint Aquatic Sciences Meeting held in Grand Rapids, Michigan from May 14-20. It was billed as “the world’s largest gathering of aquatic scientists, students, practitioners, resource agency staff, and industry representatives in history.” The meeting was designed to bring together “deep, multidisciplinary subject-matter expertise to collaboratively educate one another and solve the complex environmental problems facing our society and our planet today.” It was organized by the Consortium of Aquatic Science Societies (CASS), which includes nine organizations: American Fisheries Society, Association for the Sciences of Limnology and Oceanography, Coastal and Estuarine Research Federation, Freshwater Mollusk Conservation Society, International Association for Great Lakes Research, North American Lake Management Society, Phycological Society of America, Society for Freshwater Science, and our organization – the Society of Wetland Scientists (SWS). To bring the information presented by SWS members at the meeting to all our members, we have collected and assembled unedited abstracts from their presentations. (Note: Recordings of the actual presentations are available for those attending in person or participating virtually until mid-October - access via your registration.) Presented During: Access and Human Connection to Public Waters: Research and Outreach, 05/19/22 2:00 PM - 2:15 PM ET
ASSESSING ECOSYSTEM SERVICES FOR A LAKE WATERSHED IN CAZENOVIA NEW YORK Richard Smardon Lake related greenspace provides many benefits to residents and visitors, which are often under-valued. The Millennium Ecosystem Assessment Project (2005) proposed the valuation of ecosystem services, defined as regulatory, provisional, ecosystem support and cultural services provided for us by nature, free of charge. The challenge here is: How can we use cultural ecosystem services derived from scenic landscapes for greenspace management and assessment? Cultural ecosystem services received international recognition as part of the Millennium Ecosystem Assessment Project (2005). Also, as part of ecosystems services, there are regulatory, provisional and ecosystem support services. For this paper we are particularly concerned with cultural services, which include recreation, science and education, spiritual/historic as well as aesthetic functions. Different researchers offer a progression of description of cultural Ecosystem services. De Groot et al (2002) describes Information functions as including; aesthetic information, recreation, cultural artistic information and spiritual/historic information. Farber et al (2005) for cultural services include; aesthetic, recreation, science/education, and spiritual/historic functions. Presented During: Advances in Remote Sensing Technologies to Monitor Water Quality in Large Lakes, 05/20/22 4:45 PM - 4:45 PM ET
OPTIMIZATION OF LANDSAT CHL-A RETRIEVAL ALGORITHMS IN FRESHWATER LAKES THROUGH CLASSIFICATION OF OPTICAL WATER TYPES (VIRTUAL) 178 Wetland Science & Practice July 2022
Michael Dallosch, Irena Creed The emerging trend of increased algal blooms occurrence remains an ever present threat to aquatic ecosystems. Monitoring efforts are often limited to frequented large lake systems, whereby remote and small lakes are unobserved. Remote sensing applications allows for the construction of empirical models of surface water chlorophyll-a concentrations (chl-a), which may be complicated due to the spatial heterogeneity of inland lake water properties. Classification of optical water types (OWTs; i.e., differentially observed water spectra due to differences in water properties) has grown in favour in recent years over traditional non-turbid vs. turbid classifications. This study examined the applicability of Landsat sensors in the identification of OWTs using a guided unsupervised classification approach in which OWTs are defined through both remotely sensed reflectance and surface water chemistry data to construct chl-a retrieval algorithms. The performances of chl-a retrieval algorithms within each OWT were then compared to a global chl-a algorithm. Seven OWTs were identified and fit into four categories: turbid lakes with a low chl-a:turbidity ratio; turbid lakes with a mixture of high chl-a and turbidity measurements; oligotrophic or mesotrophic lakes with a mixture of low chl-a and turbidity measurements; and eutrophic lakes with a high chl-a:turbidity ratio. Retrieval algorithms using OWTs performed better (r2 = 0.69–0.91, p < 0.05), when compared to a global retrieval algorithm (r2 = 0.52, p < 0.05). Landsat reflectance can be used to extract OWTs and provide improved prediction of chl-a, giving researchers an opportunity to better observe algal biomass trends over time. Presented During: All Tributaries Great and Small: Connectors Across Ecosystems, 05/16/22 4:45 PM - 5:00 PM ET
LIGHT SPATIAL PATTERNS AND HYDROLOGICAL
