Author

N. J. Murray

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

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Ecology· 5

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 3 Assay:imaging· 2 Research Focus:database / resource· 1 Approach:deep learning· 1 Approach:machine learning (classical)· 1

Frequent Co-Authors

T. A. Worthington· 3 shared A. Navarro· 2 shared D. A. Keith· 2 shared E. Landis· 2 shared H. Grantham· 2 shared L. S. Smart· 2 shared T. L. Maxwell· 2 shared A. Duncan· 1 shared

Activity by Year

2018-2024 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 25 mutual co-author links

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3 shared papersEcology

T. A. Worthington

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5 papers

Recent·Most cited

Soil carbon in the world's tidal marshes

T. L. Maxwell, M. D. Spalding, D. A. Friess, N. J. Murray, K. Rogers, A. S. Rovai, L. S. Smart, L. Weilguny, M. F. Adame, J. B. Adams, M. S. Copertino, G. M. Cott, M. Duarte de Paula Costa, J. R. Holmquist, C. J. T. Ladd, , T. A. Worthington

The paper creates the first global, spatially-explicit map of soil organic carbon storage in tidal marshes using environmental data and a new global extent map, estimating total global SOC stock at 1.44 Pg C.

bioRxiv · Apr 26, 2024Ecology

The distribution of global tidal marshes from earth observation data

T. A. Worthington, M. Spalding, E. Landis, T. L. Maxwell, A. Navarro, L. S. Smart, N. J. Murray

This paper creates a high-resolution global map of tidal marshes in 2020 using earth observation data and a random forest model, estimating their extent and distribution.

bioRxiv · May 26, 2023Ecology

Myanmar's terrestrial ecosystems: status, threats and conservation opportunities

N. J. Murray, D. A. Keith, A. Duncan, R. Tizard, J. R. Ferrer-Paris, T. A. Worthington, K. Armstrong, N. Hlaing, W. T. Htut, A. H. Oo, K. Z. Ya, H. Grantham

This study assesses Myanmar's terrestrial ecosystems, finding 36.9% converted to anthropogenic ecosystems and 29 of 64 ecosystems threatened, highlighting conservation opportunities.

bioRxiv · Aug 18, 2020Ecology

Forest condition in the Congo Basin for the assessment of ecosystem conservation status

A. Shapiro, H. Grantham, N. Aguilar-Amuchastegui, N. J. Murray, V. Gond, D. Bonfils, O. Rickenback

This paper introduces a new metric, Forest Condition (FC), to assess forest degradation in the Congo Basin and evaluates its effectiveness in identifying ecosystem threats.

bioRxiv · Mar 25, 2020Ecology

REMAP: An online remote sensing application for land cover classification and monitoring

N. J. Murray, D. A. Keith, D. Simpson, J. H. Wilshire, R. M. Lucas

REMAP enables non-experts to create high-resolution land cover maps using remote sensing data in under 10 minutes.

bioRxiv · Apr 20, 2018Ecology