Authors: Danlin Yu*, Montclair State University, Nicolas Procopio, NJ Department of Environmental Protection
Topics: Remote Sensing, Geographic Information Science and Systems, Sustainability Science
Keywords: Tidal wetlands, secondary production, remote sensing, system dynamic simulation
Session Type: Virtual Paper
Start / End Time: 11:10 AM / 12:25 PM
Room: Virtual 26
Presentation File: No File Uploaded
Tidal wetlands are among the most productive ecosystems, supporting a wide range of secondary production of nekton. Increasingly intensified human activities in recent decades have caused drastic land use/land cover changes at a global level. It is critical to understand and establish the dynamic relationships between pristine wetland ecosystems and secondary production of nekton as a baseline so that restoration efforts for heavily disturbed wetlands will have a reference framework. The Wading River Wetland Complex in central NJ is a relatively undisturbed wetland ecosystem. The current study collects high-resolution satellite images (50 centimeters) and classifies the land use land cover for 8 consecutive years (2011 – 2018) with a random forest algorithm. Through intensive meta-analysis, the study attempts to establish a coupled dynamic relationship between land use/land cover changes in the pristine wetland ecosystem and how such changes are related with the secondary production of nekton. Utilizing these coupled relationships, the research establishes a system dynamic model to simulate the potential scenarios of land use/land cover changes in the future and how secondary production of nekton changes.