Author

M. W. Fielding

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· 4

Signature Assays, Organisms & Methods

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Research Focus:ecology & biodiversity· 4 Approach:statistical model· 2 Approach:experimental assay· 1 Approach:machine learning (classical)· 1 Organism:non-human primate· 1

Frequent Co-Authors

B. W. Brook· 4 shared J. C. Buettel· 3 shared D. Stojanovic· 2 shared C. X. Cunningham· 1 shared H. K. D. Nguyen· 1 shared J. Buettel· 1 shared L. A. Yates· 1 shared M. E. Jones· 1 shared

Activity by Year

2021-2021 · peak 4/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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4 shared papersEcology

B. W. Brook

Mutual co-authors in cluster

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4 papers

Recent·Most cited

Dominant carnivore loss benefits native avian and invasive mammalian scavengers

M. W. Fielding, C. X. Cunningham, J. C. Buettel, D. Stojanovic, M. E. Jones, B. W. Brook

The paper shows that losing dominant carnivores benefits native avian and invasive mammalian scavengers by increasing carrion availability and scavenging efficiency.

bioRxiv · Sep 6, 2021Ecology

Hot, unpredictable weather interacts with land use to restrict the distribution of the Yellow-tailed Black-Cockatoo

R. J. Amin, J. Buettel, P. M. Vaughan, M. W. Fielding, B. W. Brook

The paper models the impact of climate change and land use on the distribution of the Yellow-tailed Black-Cockatoo, finding that climate warming and land use intensification reduce suitable habitat, while old-growth forests provide refugia.

bioRxiv · Apr 20, 2021Ecology

Roadkill islands: carnivore extinction shifts seasonal use of roadside carrion by generalist avian scavenger

M. W. Fielding, J. C. Buettel, B. W. Brook, D. Stojanovic, L. A. Yates

This study shows that the loss of mammalian carnivores leads to increased avian scavenger use of roadside carrion year-round, altering community dynamics.

bioRxiv · Feb 18, 2021Ecology

Predicting spatial and seasonal patterns of wildlife-vehicle collisions in high-risk areas

H. K. D. Nguyen, J. C. Buettel, M. W. Fielding, B. W. Brook

The paper uses machine learning to predict wildlife-vehicle collision risks by analyzing spatio-temporal factors and identifies key predictors like traffic volume and road shape.

bioRxiv · Jan 17, 2021Ecology