Moose omics dataframe

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 behaviour 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. 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. 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 i...