Author

M. E. Schaepman

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Ecology· 5 Plant Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:ecology & biodiversity· 4 Organism:plant (other)· 3 Assay:imaging· 2 Research Focus:cell type annotation· 1 Research Focus:clustering· 1 Approach:experimental assay· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

B. Schmid· 3 shared E. A. Czyz· 3 shared M. C. Schuman· 3 shared C. Li· 2 shared F. Altermatt· 2 shared F. Morsdorf· 2 shared H. Zhang· 2 shared P. A. Niklaus· 2 shared

Activity by Year

2021-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 19 mutual co-author links

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3 shared papersEcology

B. Schmid

Mutual co-authors in cluster

Author profile →

6 papers

Recent·Most cited

Genome-wide associations of leaf spectral variation in MAGIC lines of Nicotiana attenuata

C. Li, E. A. Czyz, B. Schmid, R. Ray, R. Halitschke, I. T. Baldwin, M. E. Schaepman, M. C. Schuman

This study uses MAGIC lines of Nicotiana attenuata to associate genetic variation with leaf spectral variation, identifying a novel locus linked to red-edge and near-infrared reflectance.

Ecology · Apr 12, 2026Peer-reviewedEcology

Terrestrial land cover shapes fish diversity in major subtropical rivers

H. Zhang, R. C. Blackman, R. Furrer, M. Osathanunkul, J. Brantschen, C. Di Muri, L. R. Harper, B. Haenfling, P. A. Niklaus, L. Pellissier, M. E. Schaepman, S. Zong, F. Altermatt

The paper links terrestrial land cover changes to fish diversity in a subtropical river catchment, showing LULC effects up to 20 km upstream and explaining 60% of species richness variance.

bioRxiv · Oct 30, 2023 · PreprintEcology

Associations of genetic and spectral diversity in European beech

E. A. Czyz, B. Schmid, M. B. Eppinga, M. de La Harpe, A. Moradi, C. Li, D. Coq--Etchegaray, M. E. Schaepman, M. C. Schuman

This study links spectral and genomic variation in European beech to support scalable monitoring of genetic diversity loss.

bioRxiv · Aug 16, 2023 · PreprintPlant Biology

Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale

F. D. Schneider, M. Longo, E. Paul-Limoges, V. M. Scholl, B. Schmid, F. Morsdorf, R. P. Pavlick, D. S. Schimel, M. E. Schaepman, P. R. Moorcroft

The paper uses remote sensing and modeling to show that functional diversity boosts productivity at local scales but not at larger scales, with environmental factors playing a key role.

bioRxiv · Aug 11, 2022Ecology

A spatial fingerprint of land-water linkage of biodiversity uncovered by remote sensing and environmental DNA

H. Zhang, E. Mächler, F. Morsdorf, P. A. Niklaus, M. E. Schaepman, F. Altermatt

The paper identifies a spatial land-water fingerprint linking riverine eDNA diversity to terrestrial RS spectral diversity in a mountainous catchment.

bioRxiv · Oct 27, 2021Ecology

Variation in reflectance spectroscopy of European beech leaves captures phenology and biological hierarchies despite measurement uncertainties

F. Petibon, E. A. Czyz, G. Ghielmetti, A. Hueni, M. Kneubühler, M. E. Schaepman, M. C. Schuman

This paper quantifies measurement uncertainty in leaf reflectance and shows it is small compared to biological variation in European beech trees, recommending standardized protocols for trait monitoring.

bioRxiv · Mar 9, 2021 · PreprintEcology