Justin M. Calabrese
Ecology · 2004–2018
A researcher in the Science corpus: 9 papers; trusts 31 researchers and is trusted by 24 researchers here, as inferred from the citation graph.
Subfields
- Ecology — 107 citations into it; #1,000 of 10,717 by trust here, #2,377 by citations
- Nature and Landscape Conservation — 85 citations into it; #5,307 of 6,941 by trust here, #5,111 by citations
- Ecological Modeling — 78 citations into it; #1,895 of 2,530 by trust here, #1,902 by citations
- Statistics and Probability — 47 citations into it; #7,929 of 12,932 by trust here, #3,703 by citations
- Global and Planetary Change — 35 citations into it; #1,341 of 10,225 by trust here, #3,211 by citations
- Artificial Intelligence — 33 citations into it; #21,571 of 35,345 by trust here, #15,866 by citations
- Genetics — 25 citations into it; #3,785 of 6,854 by trust here, #5,402 by citations
- Environmental Engineering — 13 citations into it
Whom Justin M. Calabrese trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Daniel T. Haydon
- Antoine Guisan
- Kevin J. Gaston
- M. Chris Jones
- Jane Elith
- Atte Moilanen
- L. Tischendorf
- D. Bender
- MARK A. Beaumont
- A. Bunn
Who trusts Justin M. Calabrese overall
- B. Mcrae
- Santiago Saura
- M. Baguette
- Bailey Jacobson
- B. McClintock
- Agnès Janin
- Thomas Mueller
- Jacob C. Cooper
- Joeri Hermans
- Damaris Zurell
Papers from Justin M. Calabrese's perspective
Ordered by how strongly the researchers Justin M. Calabrese trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Maximum entropy modeling of species geographic distributions
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
- Predictive habitat distribution models in ecology
- A globally coherent fingerprint of climate change impacts across natural systems (Nature)
- Model selection in ecology and evolution. (Trends in Ecology & Evolution)
- Methods to account for spatial autocorrelation in the analysis of species distributional data : a review
- Extinction risk from climate change (Nature)
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
Their papers
- Statistical inference for stochastic simulation models--theory and application. (2011) — 403 citations
- Model averaging in ecology: a review of Bayesian, information-theoretic, and tactical approaches for predictive inference (2018) — 342 citations
- Moving in the Anthropocene: Global reductions in terrestrial mammalian movements (2018) — 1,095 citations
- Statistical inference for home range overlap (2018) — 103 citations
- ctmm: an r package for analyzing animal relocation data as a continuous‐time stochastic process (2016) — 515 citations
- Rigorous home range estimation with movement data: a new autocorrelated kernel density estimator. (2015) — 452 citations
- Stacking species distribution models and adjusting bias by linking them to macroecological models (2014) — 349 citations
- How climate extremes—not means—define a species' geographic range boundary via a demographic tipping point (2014) — 85 citations
- A comparison-shopper's guide to connectivity metrics (2004) — 670 citations