Author

J. O. Hanson

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· 3

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 2 Approach:optimal transport· 2 Approach:statistical model· 1

Frequent Co-Authors

P. R. Roehrdanz· 2 shared R. Schuster· 2 shared A. Arnell· 1 shared A. D. Binley· 1 shared A. D. Rodewald· 1 shared A. van Soesbergen· 1 shared B. J. Enquist· 1 shared B. L. Boyle· 1 shared

Activity by Year

2019-2022 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 27 mutual co-author links

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2 shared papersEcology

P. R. Roehrdanz

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3 papers

Recent·Most cited

Protected area planning to conserve biodiversity in an uncertain future

R. Schuster, R. Buxton, J. O. Hanson, A. D. Binley, J. Pittman, V. Tulloch, F. A. La Sorte, P. R. Roehrdanz, P. H. Verburg, A. D. Rodewald, S. Wilson, H. P. Possingham, J. R. Bennett

This study identifies priority areas for expanding the global protected area system to account for governance, land use, and climate risks while maximizing species protection.

bioRxiv · Nov 18, 2022Ecology

Areas of global importance for terrestrial biodiversity, carbon, and water

M. Jung, A. Arnell, X. De Lamo, S. Garcia-Rangel, M. Lewis, J. Mark, C. Merow, L. Miles, I. Ondo, S. Pironon, C. Ravilious, M. Rivers, D. Schepashenko, O. Tallowin, A. van Soesbergen, , Wieringa

The paper identifies global terrestrial areas prioritized for conservation to maximize synergies between biodiversity, carbon retention, and water provisioning.

bioRxiv · Apr 16, 2020Ecology

Integer linear programming outperforms simulated annealing for solving conservation planning problems

R. Schuster, J. O. Hanson, M. Strimas-Mackey, J. Bennett

This study compares Simulated Annealing and Integer Linear Programming for conservation planning, finding ILP produces cheaper and faster solutions with additional practical benefits.

bioRxiv · Nov 20, 2019 · PreprintEcology