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Aim: Empirically disentangle the effects of global change drivers on biodiversity and ecosystem multifunctionality across the river Thur catchment using existing eDNA and remote sensing data.
Research: We integrate core expertise of the URPP in which we are world-leading namely remote sensing and genomic tools, to assess biodiversity and cross disciplinary boundaries. We will contribute innovation to the development of Essential Biodiversity Variables, providing scalable and unifying biodiversity measures, covering microbes to land-use metrics, expecting high-profile output. We unify scalable (space and time), empirically-based predictors of biodiversity change to assess the scale at which biodiversity-states (microbial richness) are linked to biodiversity-processes (productivity).
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Carraro L, Bertuzzo E, Fronhofer EA, Furrer R, Gounand I, Rinaldo A & Altermatt F. 2020b. Generation and application of river network analogues for use in ecology and evolution. Ecology and Evolution 10: 7537–7550.
Carraro L, Mächler E, Wüthrich R & Altermatt F. 2020a. Environmental DNA allows upscaling spatial patterns of biodiversity in freshwater ecosystems. Nature Communications 11: 3585.
Deiner K, Bik HM, Mächler E, Seymour M, Lacoursière-Roussel A, Altermatt F, Creer S, Bista I, Lodge DM, de Vere N, Pfrender ME & Bernatchez L. Environmental DNA metabarcoding: transforming how we survey animal and plant communities. Molecular Ecology 26: 5872–5895.
Deiner K, Fronhofer EA, Mächler E, Walser J-C & Altermatt F. 2016. Environmental DNA reveals that rivers are conveyer belts of biodiversity information. Nature Communications 7:12544.
Mächler E, Little CJ, Wüthrich R, Alther R, Fronhofer EA, Gounand I, Harvey E, Hürlemann S, Walser JC & Altermatt F. 2019. Assessing different components of diversity across a river network using eDNA. Environmental DNA 1: 290–301.
McGuire, K. J., C. E. Torgersen, G. E. Likens, D. C. Buso, W. H. Lowe, and S. W. Bailey. 2014. Network analysis reveals multiscale controls on streamwater chemistry. Proceedings of the National Academy of Sciences 111:7030–7035.
Schneider FD, Morsdorf F, Schmid B, Petchey OL, Hueni A, Schimel DS & Schaepman ME (2017) Mapping functional diversity from remotely sensed morphological and physiological forest traits. Nature Communications, 8(1): 1441.