R. Portell
Ecological Modeling · 2015
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 23 citations into it
- Nature and Landscape Conservation — 16 citations into it
- Ecology — 15 citations into it
Whom R. Portell trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- R. Mac Nally (in Ecological Modeling)
- Michael J. Angilletta (in Conservation)
Papers from R. Portell's perspective
Ordered by how strongly the researchers R. Portell trusts endorse each paper. Same corpus, a different order for every researcher.
- A statistical explanation of MaxEnt for ecologists
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (Ecological Applications)
- Predicting extinction risks under climate change: coupling stochastic population models with dynamic bioclimatic habitat models (Biology Letters)
- Predicting species distributions from small numbers of occurrence records: A test case using cryptic geckos in Madagascar
- Ecological Niches and Geographic Distributions
- Selecting pseudo-absence data for presence-only distribution modeling: How far should you stray from what you know?
- Climate change threats to plant diversity in Europe. (Proceedings of the National Academy of Sciences of the United States of America)
- Multiple regression and inference in ecology and conservation biology: further comments on identifying important predictor variables (Biodiversity and Conservation)
- Selecting thresholds for the prediction of species occurrence with presence‐only data
- Using species distribution models in paleobiogeography: A matter of data, predictors and concepts