Author

J. van den Hoogen

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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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 3 Organism:plant (other)· 2 Research Focus:chromatin & epigenetic regulation· 1 Research Focus:development & morphogenesis· 1 Approach:machine learning (classical)· 1 Assay:metagenomics· 1 Research Focus:transcription & RNA processing· 1

Frequent Co-Authors

T. W. Crowther· 3 shared N. van Tiel· 2 shared A. Babenko· 1 shared A. C. da Silva· 1 shared A. Dias· 1 shared A. Gonzalez-Melo· 1 shared A. M. de la Pedrosa· 1 shared A. M. Potapov· 1 shared

Activity by Year

2021-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 17 mutual co-author links

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Curved chords = mutual co-authorship

3 shared papersEcology

T. W. Crowther

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

Globally invariant metabolism but density-diversity mismatch in springtails

A. M. Potapov, C. A. Guerra, J. van den Hoogen, A. Babenko, B. C. Bellini, M. P. Berg, S. L. Chown, L. Deharveng, L. Kova_, N. A. Kuznetsova, J.-F. Ponge, M. B. Potapov, D. J. Russell, D. Alexandre, J. M. Alatalo, , C. Heiniger

The paper estimates global springtail biomass and density, finding similar energy use across latitudes but mismatch between diversity and density.

bioRxiv · Jan 7, 2022Ecology

Global trade-offs in tree functional traits

D. S. Maynard, L. Bialic-Murphy, C. M. Zohner, C. Averill, J. van den Hoogen, H. Ma, L. Mo, G. R. Smith, I. Aubin, E. Berenguer, C. C. F. Boonman, J. Catford, B. E. L. Cerabolini, A. Dias, A. Gonzalez-Melo, , T. W. Crowther

The paper quantifies global trait variation in trees, identifying two independent processes and seven key traits that capture most variation in tree form and function.

bioRxiv · Sep 16, 2021 · PreprintEcology

A geospatial mapping pipeline for ecologists

J. van den Hoogen, N. Robmann, D. Routh, T. Lauber, N. van Tiel, O. Danylo, T. W. Crowther

The paper introduces a geospatial mapping pipeline to generate quantitative, spatially explicit predictions for ecological and biophysical processes.

bioRxiv · Jul 7, 2021 · PreprintEcology

Mapping tree species for restoration potential resilient to climate change

N. van Tiel, L. Lyu, F. Fopp, J. van den Hoogen, D. N. Karger, N. E. Zimmermann, T. W. Crowther, L. Pellissier

This paper maps tree species' ecological suitability globally using machine learning to guide climate-resilient forest restoration.

bioRxiv · Jun 4, 2021 · PreprintEcology