This 2021 paper from the University of South Florida discusses how machine learning was used to map aquifers throughout the Kenai Lowlands to locate groundwater discharge, providing a framework to extend this method of modeling groundwater to other reserves.

This 2021 article which appeared in Ecology and Society describes a research project exploring how alders, peatlands, and groundwater flows were incorporated into a spatial tool that was used in case studies with user groups and in outreach efforts. The paper includes evidence that these efforts to engage with stakeholders are resulting in attitudinal shifts as well as on-the-ground changes in peoples ’ decision-making.

This art collection is the result of work by 3rd-6th graders and stemmed from a climate resilience workshop hosted by the Tijuana River and Kachemak Bay Reserves as part of a 2015 Science Transfer project