Author

M. Strimas-Mackey

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· 5

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 4 Organism:multiple species· 2 Research Focus:development & morphogenesis· 1 Assay:field survey / ecological data· 1

Frequent Co-Authors

D. Fink· 2 shared O. J. Robinson· 2 shared R. Schuster· 2 shared A. Johnston· 1 shared A. van Soesbergen· 1 shared C. Brandon· 1 shared C. M. Kennedy· 1 shared C. Reidy Liermann· 1 shared

Activity by Year

2019-2022 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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2 shared papersEcology

D. Fink

Mutual co-authors in cluster

Author profile →

5 papers

Recent·Most cited

Mapping the planet's critical natural assets

R. Chaplin-Kramer, R. Neugarten, R. P. Sharp, P. M. Collins, S. Polasky, D. Hole, R. Schuster, M. Strimas-Mackey, M. Mulligan, C. Brandon, S. Diaz, E. Fluet-Chouinard, L. Gorenflo, J. A. Johnson, C. M. Kennedy, , R. Watson

The paper identifies critical natural assets that provide 90% of nature's contributions to people, showing their overlap with biodiversity and cultural diversity and their importance for sustainable development.

Nature Ecology & Evolution · Nov 28, 2022Peer-reviewedEcology

Analytical guidelines to increase the value of citizen science data: using eBird data to estimate species occurrence

A. Johnston, W. M. Hochachka, M. Strimas-Mackey, V. Ruiz Gutierrez, O. J. Robinson, E. T. Miller, T. Auer, S. T. Kelling, D. Fink

This study improves species distribution estimates from eBird data by refining data processing and addressing biases, showing that complete checklists and effort covariates enhance model performance.

bioRxiv · Jun 23, 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

Integrating citizen science data with expert surveys increases accuracy and spatial extent of species distribution models

O. J. Robinson, V. Ruiz-Gutierrez, M. D. Reynolds, G. H. Golet, M. Strimas-Mackey, D. Fink

This study integrates citizen science data with expert surveys to improve the accuracy and spatial coverage of species distribution models for shorebirds in California.

bioRxiv · Oct 17, 2019Ecology

A meta-analysis of global avian survival across species and latitude

M. N. Scholer, M. Strimas-Mackey, J. E. Jankowski

This study investigates a latitudinal survival gradient in birds globally, finding a gradient in the northern hemisphere but not the southern, with intrinsic traits influencing survival rates.

bioRxiv · Oct 16, 2019Ecology