Fort McMurray Métis Elders and land users have observed a decrease in the population density of freshwater mussels (known locally as clams; Unionidae) in the lower Athabasca region (LAR) in recent decades. A community-based participatory research (CBPR) approach, braided with Indigenous Knowledge, is used as a guiding framework to facilitate partnerships and create safe, ethical spaces across diverse knowledge systems to address questions about freshwater mussel health in a locally relevant and culturally appropriate way. Opportunities for Elders and land users to travel along the Athabasca and Clearwater rivers in search of freshwater mussels allowed for the renewal of personal and cultural relationships to place that was braided with the study of parameters relevant to Western science. Our search revealed the presence of fat muckets (Lampsilis siliquoidea), with a limited number of giant floaters (Anodonta grandis), in our study area. However, delineating the types of species present is only the beginning of our work to understand freshwater mussel health in the LAR. We present a methodological discussion that demonstrates the importance of prioritizing Indigenous Knowledge to answer questions that may not have been considered within Western knowledge systems and shows how diverse ways of knowing can be braided to create new learnings together. “Learning together,” in practice, means recognizing that each person has knowledge and skills to contribute, which also involves shared decision making. We maintain that by “learning together,” complex problems can be understood in ways that are more meaningful and insightful than they would be if Indigenous communities, government scientists, or research consultants studied them alone.

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Reliable estimates of forest productivity at the site scale can guide site-specific forest management. However, the best methods to evaluate productivity of natural forest sites, and in particular secondary natural forests, remain undefined. In this study we: (1) applied an indirect method for estimation of the potential productivity of a forest site (‘site form’) in Dong Nai Biosphere Reserve. In addition, we: (2a) investigated the influence of a range of environmental conditions on site form, (2b) built models to estimate site form from the corresponding environmental variables and (3) generated site form maps for the region. We found that Michaelis–Menten models provided the most consistent representation of tree height–diameter relationships, with reliable anamorphic curves at both plot-scale (50 m × 20 m) and multiplot-scales. Predicted tree height at 25-cm diameter (H25) was selected as the best indicator for site form as 25 cm was both a tree size, which was common in the forests, and for which height could be accurately predicted. H25 was significantly correlated with site environmental conditions, with the dominant influences being factors related to water availability. We generated site form maps for Dong Nai province based on the relationship between known environmental variables and H25. We conclude that maps such as these could have broad application in guiding tropical forest restoration measures elsewhere, particularly where there is limited knowledge of tree ages and species.