Science synthesis and communications


Rapid Assessment (2018)

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. 

Our 2019 update, the Rapid Assessment, has three objectives:

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

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

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


Interacting Social and Environmental Predictors for the Spatial Distribution of Conservation Lands (2015)

Conservation decisions should be evaluated for how they meet conservation goals at multiple spatial extents. Conservation easements are land use decisions resulting from a combination of social and environmental conditions. An emerging area of research is the evaluation of spatial distribution of easements and their spatial correlates. We tested the relative influence of interacting social and environmental variables on the spatial distribution of conservation easements by ownership category and conservation status.


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 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.