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Environmental changes and their consequences on biodiversity are known to have far-reaching effects on the resilience of animal populations and associated livelihoods around the world. To counteract negative demographic and economic effects on pastoralism, knowledge about the historical and current status of the environment is essential. In this study, we show how extractive industries, especially large-scale mining, induced a cascade of land conversions which are affecting animal populations and pastoralists' adaptive responses in northern Sweden. We examine social-ecological vulnerability in Arctic reindeer husbandry by integrating herders' knowledge, population statistics for semi-domesticated reindeer Rangifer t. tarandus, public data on socio-economic variables and geospatial tools. We determine that approximately 34% of Laevas reindeer herding community's grazing grounds are functionally unavailable to reindeer at present due to the accumulation of multiple competing land use pressures. Reindeer numbers currently only remain stable due to increased management efforts. Moreover, we identified current hotspots of high cumulative impact and mineral exploration as the spatially dominating land use factor in this area. Our approach and results provide new insights for scientifically robust cumulative impact assessments of anthropogenic stressors by creating a baseline of current developments via a combination of reindeer herder's knowledge with historical data of trends and extents of human activity over the last century.

1. With accelerated land conversion and global heating at northern latitudes, it becomes crucial to understand, how life histories of animals in extreme environments adapt to these changes. Animals may either adapt by adjusting foraging behavior or through physiological responses, including adjusting their energy metabolism or both. Until now, it has been difficult to study such adaptations in free‐ranging animals due to methodological constraints that prevent extensive spatiotemporal coverage of ecological and physiological data. 2. Through a novel approach of combining DNA‐metabarcoding and nuclear magnetic resonance (NMR)‐based metabolomics, we aim to elucidate the links between diets and metabolism in Scandinavian moose Alces alces over three biogeographic zones using a unique dataset of 265 marked individuals. 3. Based on 17 diet items, we identified four different classes of diet types that match browse species availability in respective ecoregions in northern Sweden. Individuals in the boreal zone consumed predominantly pine and had the least diverse diets, while individuals with highest diet diversity occurred in the coastal areas. Males exhibited lower average diet diversity than females. 4. We identified several molecular markers indicating metabolic constraints linked to diet constraints in terms of food availability during winter. While animals consuming pine had higher lipid, phospocholine, and glycerophosphocholine concentrations in their serum than other diet types, birch‐ and willow/aspen‐rich diets exhibit elevated concentrations of several amino acids. The individuals with highest diet diversity had increased levels of ketone bodies, indicating extensive periods of starvation for these individuals. 5. Our results show how the adaptive capacity of moose at the eco‐physiological level varies over a large eco‐geographic scale and how it responds to land use pressures. In light of extensive ongoing climate and land use changes, these findings pave the