The project's purpose was to assess the impacts of climate change on species at risk and develop strategies for long-term land management and conservation. The project builds upon two previous phases that established baseline data on forest health and coastal community structures.
The project's main goal is to perform an in-depth assessment of SAR within the saltmarsh. The data collected will be compared to already existing historical data and used to predict possible future environmental changes and their effect on species distributions and guide the creation of effective conservation strategies. These findings would facilitate the protection of the shoreline and preserve existing marshes as they are vital to maintaining the health of these ecosystems. The project's primary goal is to enhance interest in marsh conservation and invasion dynamics, deepen understanding of coastal ecosystems, and encourage environmental stewardship for generations to come.
The Bay of Fundy, spanning New Brunswick and Nova Scotia, is known for its record tides and rich biodiversity. Understanding its current state requires looking at its geological history, which shaped its landscape and established the foundation for its ecosystem. Human activity has also left lasting impacts on the bay's land, water, and wildlife. By examining these historical layers, we can gain insights into its evolution, the role of human influence, and how to protect it for future generations.
In Phase Two of this project we assess the coastal community structure that makes up the intertidal zone on both sides of the peninsula, sites are along Deadmans Harbour and the Bay of Fundy. From the field work and literature review done we present a comprehensive overview and baseline of the species that live within the site or those that could potentially interact with the site and what the possible impacts of climate change could mean for these species.
Baseline data for the forest was collected during several site visits to determine key characteristics of this forest. Furthermore, literature research was conducted to determine predictions for the future of this forest. An NDVI (Normalized Difference Vegetation Index) map was created for the property to determine the overall health of the forest. As well, a LanDSET model was created to determine soil moisture.
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