Author

V. Grimm

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· 6 Microbiology· 2

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 5 Approach:statistical model· 3 Approach:experimental assay· 2 Research Focus:host-pathogen & immune response· 2 Approach:simulation· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:development & morphogenesis· 1

Frequent Co-Authors

F. Jeltsch· 2 shared K. Johst· 2 shared U. Berger· 2 shared V. Radchuk· 2 shared A. Bonn· 1 shared A. Chatzinotas· 1 shared A. R. Medeiros-Sousa· 1 shared A. S. Singer· 1 shared

Activity by Year

2019-2023 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 36 mutual co-author links

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2 shared papersEcology

F. Jeltsch

Mutual co-authors in cluster

Author profile →

8 papers

Recent·Most cited

Modelling the transmission and spread of yellow fever in forest landscapes with different spatial configurations

A. R. Medeiros-Sousa, M. Lange, L. F. Mucci, M. T. Marrelli, V. Grimm

This paper develops a hybrid model to simulate yellow fever virus spread in different forest landscapes and finds that highly fragmented landscapes facilitate faster virus percolation.

bioRxiv · Nov 11, 2023Ecology

Large scale PVA modelling of insects in cultivated grasslands: the role of dispersal in mitigating the effects of management schedules under climate change

J. A. Leins, V. Grimm, M. Drechsler

The paper uses a population dynamics model to study how dispersal affects insect survival under climate change and land use changes in grasslands.

bioRxiv · Nov 21, 2021 · PreprintEcology

Tropical forest dynamics correspond to fair games in economic theory of financial markets

Y. Lin, J. Rosindell, U. Berger, H. Bruelheide, J. Kattge, V. Grimm

The paper applies efficient market theory to tropical forest dynamics, finding that species abundance patterns align with equalizing mechanisms rather than stabilizing ones.

bioRxiv · Nov 9, 2021 · PreprintEcology

Stabilising microbial communities by looped mass transfer

S. Li, N. Abdulkadir, F. Schattenberg, U. Nunes da Rocha, V. Grimm, S. Muller, Z. Liu

This study introduces a looped mass transfer system to stabilize microbial communities, showing that it reduces stochastic fluctuations and supports subcommunities with zero net growth.

bioRxiv · Aug 19, 2021 · PreprintMicrobiology

Nafamostat Mesylate in lipid carrier for nasal SARS-CoV2 titer reduction in a hamster model

L. Cornelissen, E. Hoefsmit, D. Rao, J. Lijnsvelt, L. ven Keulen, M. van Es, V. Grimm, R. H. Medema, C. U. Blank

This study tests nasal application of nafamostat mesylate in liposomes to reduce SARS-CoV-2 viral load in hamsters, finding reduced nasal titer but no improvement in disease severity.

bioRxiv · Nov 9, 2020 · PreprintMicrobiology

Honeybee colony performance affected by crop diversity and farmland structure: a modelling framework

J. Horn, M. A. Becher, K. Johst, P. J. Kennedy, J. L. Osborne, V. Radchuk, V. Grimm

This paper develops a modelling framework to assess honeybee colony viability in different cropping systems, finding that crop diversity and species composition significantly impact forage availability and colony resilience.

bioRxiv · Dec 17, 2019Ecology

While shoot herbivory mitigates, root herbivory exacerbates eutrophication’s impact on diversity in a grassland model

M. S. Crawford, U. E. Schaegel, F. May, S. Wurst, V. Grimm, F. Jeltsch

The paper shows that root herbivory worsens eutrophication's negative impact on plant diversity in grasslands, while shoot herbivory reduces it.

bioRxiv · Oct 15, 2019 · PreprintEcology

Resilience trinity: safeguarding ecosystem services across three different time horizons and decision contexts

H. Weise, H. Auge, C. Baessler, I. Baerlund, E. M. Bennett, U. Berger, F. Bohn, A. Bonn, D. Borchardt, F. Brand, A. Chatzinotas, R. Corstanje, F. De Laender, P. Dietrich, S. Dunker, , V. Grimm

The paper introduces a conceptual framework called resilience trinity to manage ecosystem resilience across three decision contexts and time horizons.

bioRxiv · Feb 14, 2019Ecology