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Science synthesis and communications

Since its inception, 2C1Forest has served as a clearinghouse for data and analyses on conservation in the Northern Appalachian-Acadian-Wabanki ecoregion. Below are key publications produced in collaboration with partners in Canada and the United States. 


Rapid Assessment (2019)

Past work collated and presented by 2C1Forest has laid the foundation for what we know is at great risk of loss to development and conversion. A key document, Priority Locations for Conservation Action (2008), identified key areas warranting protection based on their ecological importance and vulnerability to development. The information developed in 2008 has been used in the last decade by non-profit organizations, government agencies, and others to make the case for conservation and protection both locally and regionally. It has also served as a springboard for the implementation of much new conservation work on the ground, including in areas necessary to maintain connectivity among large blocks of intact habitat. 

We have recently completed a new analysis, a Rapid Assessment of New Conservation Science in the Northern Appalachian-Acadian Ecoregion, which has three objectives:

1) Synthesize key conservation challenges and opportunities that have emerged in the last decade in the Northern Appalachian-Acadian-Wabanaki Ecoregion

2) Provide an overview of what new conservation science tells us about the ecoregion.

3) Recommend conservation priorities and next steps that 2C1Forest and its partners can undertake.  

An executive summary of the study is available, together with a full analysis.


Priority Locations for Conservation Action (2008)

This report describes the results of a research initiative launched by 2C1Forest to identify irreplaceable and vulnerable locations in the Northern Appalachian-Acadian-Wabanaki ecoregion for the purpose of identifying priority locations for conservation action. Our methodology is data-driven, comprehensive across the entire ecoregion, and spatially explicit at a high resolution, which allows our results to be replicated and applied at numerous spatial scales. Our approach to identifying priority locations involved three interlocking lines of analysis.