Author

M. P. Veldhuis

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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Approach:statistical model· 4 Research Focus:ecology & biodiversity· 3 Organism:plant (other)· 3 Assay:metagenomics· 2 Research Focus:development & morphogenesis· 1 Assay:imaging· 1 Assay:proteomics· 1

Frequent Co-Authors

D. Jung· 2 shared M. E. Ritchie· 2 shared N. Mohanbabu· 2 shared E. P. Mayemba· 1 shared H. Olff· 1 shared I. K. de Jonge· 1 shared R. Martinez-Garcia· 1 shared S. J. Berger· 1 shared

Activity by Year

2021-2023 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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2 shared papersEcology

D. Jung

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Understanding woody plant encroachment: a plant functional trait approach

I. K. de Jonge, H. Olff, E. P. Mayemba, S. J. Berger, M. P. Veldhuis

This study uses plant functional traits to understand how environmental factors and fire suppression drive woody plant encroachment in the Serengeti.

bioRxiv · Jul 11, 2023Ecology

Integrating defense and leaf economic spectrum traits in a tropical savanna plant

N. Mohanbabu, M. P. Veldhuis, D. Jung, M. E. Ritchie

This study examines correlations between defense traits and leaf economic spectrum traits in Solanum incanum, finding structural defenses align with resource conservative traits while chemical defenses align with resource acquisitive traits.

bioRxiv · Dec 11, 2022 · PreprintEcology

Landscape variation in defense traits along gradients of multiple resources and mammalian herbivory

N. Mohanbabu, M. P. Veldhuis, D. Jung, M. E. Ritchie

The paper examines how defense traits in plants vary along gradients of resources and herbivory, finding that spine density is influenced by both resource availability and herbivory intensity.

bioRxiv · Oct 28, 2022 · PreprintEcology

Remotely-sensed slowing down in spatially patterned dryland ecosystems

M. P. Veldhuis, R. Martinez-Garcia, V. Deblauwe, V. Dakos

The paper uses remote-sensing data to show slowing down in dryland vegetation patterns as they transition from gaps to spots under arid conditions, confirming predictions of critical slowing down.

bioRxiv · Sep 27, 2021Ecology