A. C. Burton

Ecology · 2015–2022

A researcher in the Science corpus: 7 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 136 citations into it
• Ecological Modeling — 45 citations into it
• Nature and Landscape Conservation — 25 citations into it
• Small Animals — 23 citations into it
• Computer Vision and Pattern Recognition — 11 citations into it
• Management, Monitoring, Policy and Law — 8 citations into it

Whom A. C. Burton trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. D. MacKenzie
2. J. Marcus Rowcliffe
3. James D. Nichols
4. L. Bailey
5. M. Efford
6. T. O'Brien
7. Joel s. Brown
8. Hal Whitehead
9. F. Rovero
10. J. Andrew Royle

Who trusts A. C. Burton overall

1. Yoshihiro Nakashima
2. E. Howe
3. Jürgen Niedballa
4. Sandra Frey

Papers from A. C. Burton's perspective

Ordered by how strongly the researchers A. C. Burton trusts endorse each paper. Same corpus, a different order for every researcher.

1. An evaluation of camera traps for inventorying large‐ and medium‐sized terrestrial rainforest mammals
2. Density estimation in live‐trapping studies
3. Estimating occupancy of a data deficient mammalian species living in tropical rainforests: Sun bears in the Kerinci Seblat region, Sumatra
4. Investigating species co-occurrence patterns when species are detected imperfectly
5. Monitoring carnivore populations at the landscape scale: occupancy modelling of tigers from sign surveys
6. Density, habitat use and activity patterns of ocelots (Leopardus pardalis) in the Atlantic Forest of Misiones, Argentina
7. Ocelot (Felis pardalis) population densities, activity, and ranging behaviour in the dry forests of eastern Bolivia: data from camera trapping (Journal of Tropical Ecology)
8. Biodiversity loss and its impact on humanity (Nature)
9. A global synthesis reveals biodiversity loss as a major driver of ecosystem change (Nature)
10. R: A language and environment for statistical computing.

Their papers

• Use of object detection in camera trap image identification: assessing a method to rapidly and accurately classify human and animal detections for research and application in recreation ecology (2022) — 84 citations
• A review of factors to consider when using camera traps to study animal behavior to inform wildlife ecology and conservation (2020) — 87 citations
• Wildlife winners and losers in an oil sands landscape (2018) — 117 citations
• Animal movement affects interpretation of occupancy models from camera‐trap surveys of unmarked animals (2018) — 110 citations
• A review of camera trapping for conservation behaviour research (2017) — 341 citations
• Investigating animal activity patterns and temporal niche partitioning using camera‐trap data: challenges and opportunities (2017) — 293 citations
• REVIEW: Wildlife camera trapping: a review and recommendations for linking surveys to ecological processes (2015) — 1,189 citations