Beth Gardner

Ecology · 2003–2020

A researcher in the Science corpus: 14 papers; trusts 36 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

• Ecology — 179 citations into it; #1,977 of 10,717 by trust here, #2,507 by citations
• Nature and Landscape Conservation — 74 citations into it; #2,288 of 6,941 by trust here, #3,350 by citations
• Ecological Modeling — 65 citations into it; #835 of 2,530 by trust here, #1,041 by citations
• Statistics and Probability — 65 citations into it
• Ecology, Evolution, Behavior and Systematics — 23 citations into it
• Artificial Intelligence — 21 citations into it
• Genetics — 17 citations into it
• Epidemiology — 10 citations into it

Whom Beth Gardner trusts overall

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

1. J. Andrew Royle
2. M. Efford
3. David L. Borchers
4. D. MacKenzie
5. Marc Kéry
6. Joseph Hilbe
7. John K. Kruschke
8. G. Mowat
9. James D. Nichols
10. Leo Breiman

Who trusts Beth Gardner overall

1. J. Andrew Royle
2. G. Guillera‐Arroita
3. A. St‐Hilaire
4. Michael Schaub
5. Marc Kéry
6. R. Sollmann
7. J. Guélat
8. Mathias Tobler
9. F. Archaux
10. Jay M. Ver Hoef

Papers from Beth Gardner's perspective

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

1. Generalized Linear Models
2. ESTIMATION OF OCELOT DENSITY IN THE PANTANAL USING CAPTURE–RECAPTURE ANALYSIS OF CAMERA-TRAPPING DATA
3. Density estimation in live‐trapping studies
4. Estimating the density of a jaguar population in the Brazilian Pantanal using camera-traps and capture–recapture sampling in combination with GPS radio-telemetry
5. Spatially Explicit Maximum Likelihood Methods for Capture–Recapture Studies (Biometrics)
6. Estimating Size and Composition of Biological Communities by Modeling the Occurrence of Species
7. Bayesian data analysis.
8. Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
9. WinBUGS - A Bayesian modelling framework: Concepts, structure, and extensibility (Statistics and computing)
10. Occupancy Estimation and Modeling: Inferring Patterns and Dynamics of Species Occurrence

Their papers

• Improving density estimates for elusive carnivores: Accounting for sex-specific detection and movements using spatial capture–recapture models for jaguars in central Brazil (2011) — 288 citations
• Estimating Black Bear Density Using DNA Data From Hair Snares (2010) — 150 citations
• Increased eDNA detection sensitivity using a novel high‐volume water sampling method (2020) — 83 citations
• Temporal resolutions in species distribution models of highly mobile marine animals: Recommendations for ecologists and managers (2017) — 116 citations
• Separating mortality and emigration: modelling space use, dispersal and survival with robust‐design spatial capture–recapture data (2014) — 131 citations
• Using multiple data sources provides density estimates for endangered Florida panther (2013) — 89 citations
• Imperfect detection is the rule rather than the exception in plant distribution studies (2013) — 161 citations
• Spatial Capture-Recapture (2013) — 505 citations
• Comparison of five modelling techniques to predict the spatial distribution and abundance of seabirds (2012) — 307 citations
• Comparison of density estimation methods for mammal populations with camera traps in the Kaa‐Iya del Gran Chaco landscape (2012) — 138 citations
• Density Estimation in a Wolverine Population using Spatial Capture-Recapture Models (2011) — 96 citations
• Accounting for non‐independent detection when estimating abundance of organisms with a Bayesian approach (2011) — 94 citations
• Predicting species distributions from checklist data using site‐occupancy models (2010) — 232 citations
• Predicting stream temperatures: geostatistical model comparison using alternative distance metrics (2003) — 117 citations