Author

J. Garland

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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Animal Behavior & Cognition· 1 Ecology· 1 Microbiology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:ecology & biodiversity· 2 Research Focus:host-pathogen & immune response· 1 Assay:metagenomics· 1

Frequent Co-Authors

A. B. Kao· 1 shared A. Franklin· 1 shared A. Iles· 1 shared A. K. Hund· 1 shared A. Ottesen· 1 shared A. Tabi· 1 shared B. Kocurek· 1 shared B. Matthews· 1 shared

Activity by Year

2018-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 14 mutual co-author links

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1 shared paperAnimal Behavior & Cognition

A. B. Kao

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3 papers

Recent·Most cited

Metagenomic survey of antimicrobial resistance (AMR) in Maryland surface waters differentiated by high and low human impact

B. Kocurek, G. Martin, S. Behling, P. Ramachandran, E. Reed, C. J. Grim, M. Mammel, J. Zheng, A. Franklin, J. Garland, D. Tadesse, M. Sharma, G. Tyson, C. Kabera, H. Tate, , A. Ottesen

The paper surveys antimicrobial resistance in Maryland surface waters, finding higher prevalence of beta-lactamase genes in high human impact areas.

bioRxiv · Jun 20, 2023Microbiology

Changes in group size during resource shifts reveal drivers of sociality across the tree of life

A. B. Kao, A. K. Hund, F. P. Santos, J.-G. Young, D. Bhat, J. Garland, R. A. Oomen, H. F. McCreery

The paper presents a framework to identify drivers of sociality by analyzing how group size changes with resource shifts across species.

bioRxiv · Mar 17, 2020 · PreprintAnimal Behavior & Cognition

The intrinsic predictability of ecological time series and its potential to guide forecasting

F. Pennekamp, A. Iles, J. Garland, G. Brennan, U. Brose, U. Gaedke, U. Jacob, P. Kratina, B. Matthews, S. Munch, M. Novak, G. M. Palamara, B. Rall, B. Rosenbaum, A. Tabi, , O. Petchey

The paper quantifies intrinsic predictability of ecological time series using permutation entropy and shows its relationship with model forecasting error.

bioRxiv · Jun 19, 2018Ecology