After the United States’ purchase of Alaska from Russia in 1867, Alaska Native lands have existed in a legal state of aboriginal title, whereby the land rights of its traditional occupants could be extinguished by Congress at any time. With the passage of the Alaska Native Claims Settlement Act (ANCSA) in 1971, however, Alaska Native individuals were given the opportunity to select and secure a title to ancestral lands as federally administered ANCSA 14(c) allotments. Today, though, these allotments are threatened by climate-change-driven erosion. In response, our article provides an erosion monitoring tool to quantify the damage caused by coastal and riverine erosion. Using the Yup’ik (pl. Yupiit) community of Quinhagak as a case study, we employ high-precision measurement devices and archival spatial datasets to demonstrate the immense scale of the loss of cultural lands in this region. From 1976 to 2022, an average of 30.87 m of coastline were lost according to 9 ANCSA 14(c) case studies within Quinhagak’s Traditional Land Use Area. In response, we present a free erosion monitoring tool and urge tribal entities in Alaska to replicate our methods for recording and quantifying erosion on their shareholders’ ANCSA 14(c) properties. Doing so will foster urgent dialogue between Alaskan Native communities and lawmakers to determine what measures are needed to protect Alaska Native land rights in the face of new environmental challenges.

In 2007, the Yup’ik village of Quinhagak contacted archaeologists after locals found precontact artifacts on a nearby beach. This collaboration led to the subsequent excavation of Nunalleq, an important ancestral site threatened by climate change. Since then, an international research team has partnered with Yup’ik leadership in Quinhagak to address the larger impact of climate change. In turn, this article introduces Nalaquq—our framework for combining custom sensor networks with traditional knowledge to study ellavut (trans. “Our land and weather”). Doing so provides a guide for communication scholars interested in working alongside Indigenous circumpolar communities to visualize and communicate climate science. Yup’ik (pl. Yupiit) are an Alaskan Native community whose land is threatened by climate change. Our article outlines how sensors can help Yupiit monitor climate change and communicate traditional knowledge. We begin by discussing how Yup’ik science differs from western science and how we use sensor networks. Next, we introduce a sensor network we developed in Quinhagak, Alaska. Finally, we discuss the value of Indigenous knowledge for scholars of environmental sensing, public health, climate change, and communication studies.

The spatial distribution and productivity of subsistence resources are central to food security, nutrition, and cultural vitality in circumpolar Indigenous communities. Yet few studies incorporate Indigenous Knowledge in methodology to monitor subsistence plant species. Here, we apply participatory action research to develop a monitoring system for the culturally and nutritionally important Rubus chamaemorus (atsalugpiaq, salmonberry) near the Yup’ik village of Quinhagak in southwest Alaska. With support from community members, two ground-truth surveys assessed berry productivity at nine sites within Quinhagak’s Traditional Land Use Area. Seventeen interviews identified key themes related to subsistence harvest and highlighted winter meteorological factors important for analysis. We compiled a multi-year dataset including PlanetScope eight-band SuperDove imagery (3 m GSD); airborne LiDAR and satellite-derived DEMs; and four meteorological parameters. Linear regression and multiple adaptive regression splines were tested to evaluate relationships among vegetation health, climate, landscape features, and berry productivity. Model outputs identified chlorophyll-related vegetation indices, particularly MTCI, as strong predictors of harvest outcomes, with higher flowering-season MTCI values associated with greater berry abundance. This work establishes a foundational, scalable approach for the long-term monitoring of Arctic subsistence plants in conjunction with Arctic communities and demonstrates the value of multi-layer data integration in regions historically challenging for remote sensing and ground surveys improving outcomes for regional harvest predictions and increased understanding of possible mechanisms controlling berry productivity in Arctic regions.