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Articles 1 - 5 of 5
Full-Text Articles in Life Sciences
Connecticut Embayment Characteristics 2022, Jamie M.P. Vaudrey, James E. O'Donnell
Connecticut Embayment Characteristics 2022, Jamie M.P. Vaudrey, James E. O'Donnell
Department of Marine Sciences
Data on Connecticut embayment characteristics. This Excel file is the centerpiece for capturing embayment characteristics as presented in RESPEC (2022), developed specifically for this project. Some parameters such as watershed size, embayment size, and tidal range were pulled from other sources described in Appendix A of RESPEC (2022), but much of the data and indicators in the Excel file were developed for this project. Each parameter included in the spreadsheet is fully defined in Appendix A of RESPEC (2022). All data available in the spreadsheet are provided by embayment in Appendix C of RESPEC (2022), including the results of bathymetric …
Recruitment Patterns Of The Fouling Community On Eelgrass In Long Island Sound, Diana Lancaster
Recruitment Patterns Of The Fouling Community On Eelgrass In Long Island Sound, Diana Lancaster
Department of Marine Sciences
Abstract The seagrass Zostera marina (eelgrass) is typically found in shallow protected areas of portions of eastern Long Island Sound (LIS). Although the species and its associated ecosystem have been well studied in many places, work in LIS has been limited. A field study was conducted to assess the fouling communities associated with eelgrass beds around Pine Island, in eastern LIS. Samples were collected from four sites between July and October, 2011. A total of 15 species of fouling organisms were found on eelgrass leaves throughout the study period. Recruitment patterns varied spatially and temporally. Differences in the composition of …
Development And Application Of A Gis-Based Long Island Sound Eelgrass Habitat Suitability Index Model, Jamie M.P. Vaudrey, Justin Eddings, Christopher Pickerell, Lorne Brousseau, Charles Yarish
Development And Application Of A Gis-Based Long Island Sound Eelgrass Habitat Suitability Index Model, Jamie M.P. Vaudrey, Justin Eddings, Christopher Pickerell, Lorne Brousseau, Charles Yarish
Department of Marine Sciences
The primary objectives of the Eelgrass Habitat Suitability Index Model (EHSI Model) are to assist in the evaluation of sites being considered for eelgrass restoration efforts in the Long Island Sound (LIS) area and to identify areas where water quality issues reduce or eliminate the potential for natural eelgrass colonization. To achieve this goal, geospatial processing of data available from the Long Island Sound area was conducted using ArcGIS v10.0 including the 3D Analyst and Spatial Analyst extensions. The result is a series of maps presented in this report and a GIS-based model available for users to interact with the …
The General Qapp For Long Island Sound Volunteer Coastal Monitoring (With Adoption Form), Jamie M.P. Vaudrey, Kimberly Gallagher
The General Qapp For Long Island Sound Volunteer Coastal Monitoring (With Adoption Form), Jamie M.P. Vaudrey, Kimberly Gallagher
Department of Marine Sciences
The General QAPP for Long Island Sound Volunteer Coastal Monitoring is designed to streamline the process of writing a QAPP for Monitoring Programs in the Long Island Sound area. This document does not replace guidance on developing a program and is not sufficient as a stand-alone document to guide the initial development and sample design process for a monitoring program.
Evaluation Of Current Community-Based Monitoring Efforts And Recommendations For Developing A Cohesive Network Of Support For Monitoring Long Island Sound Embayments., Jamie M.P. Vaudrey, Jamie Alonzo, Adrienne Esposito, Curt Johnson, Maureen Dolan Murphy, Charles Yarish
Evaluation Of Current Community-Based Monitoring Efforts And Recommendations For Developing A Cohesive Network Of Support For Monitoring Long Island Sound Embayments., Jamie M.P. Vaudrey, Jamie Alonzo, Adrienne Esposito, Curt Johnson, Maureen Dolan Murphy, Charles Yarish
Department of Marine Sciences
This project focuses on Long Island Sound embayments and represents an exploration of the potential for coordination among community-based water quality monitoring groups, and coordination between community-based groups and data end users, including scientists and managers. Community-based monitoring groups represent a potential valuable source of water quality information. The development of standardized protocols, training methods and reporting procedures will serve to provide end users with the confidence necessary to utilize the data collected as part of community-based monitoring programs. Both groups of stakeholders stand to benefit from this type of coordination with the ultimate benefit being a healthier, better understood …