B. L. Webber
Ecological Modeling · 2011–2014
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Ecological Modeling — 66 citations into it; #1,946 of 2,530 by trust here, #1,025 by citations
- Nature and Landscape Conservation — 59 citations into it; #5,480 of 6,941 by trust here, #2,595 by citations
- Ecology — 48 citations into it; #8,334 of 10,717 by trust here, #3,978 by citations
- Ecology, Evolution, Behavior and Systematics — 18 citations into it
Whom B. L. Webber trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Steven J. Phillips
- Jane Elith
- Jorge Soberón
- R. P. Anderson
- R. Sutherst
- H. Gordon
- Miroslav Dud'ik
- Carsten F. Dormann
- Michael R. Kearney
- A. Townsend Peterson
Who trusts B. L. Webber overall
Papers from B. L. Webber's perspective
Ordered by how strongly the researchers B. L. Webber trusts endorse each paper. Same corpus, a different order for every researcher.
- Modeling of species distributions with Maxent: new extensions and a comprehensive evaluation
- Maximum entropy modeling of species geographic distributions
- A statistical explanation of MaxEnt for ecologists
- Predictive habitat distribution models in ecology
- Extinction risk from climate change (Nature)
- Promising the future? Global change projections of species distributions
- Grinnellian and Eltonian niches and geographic distributions of species. (Ecology Letters)
- Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data. (Ecological Applications)
- Niches and distributional areas: Concepts, methods, and assumptions (Proceedings of the National Academy of Sciences of the United States of America)
- Model‐based uncertainty in species range prediction
Their papers
- Here be dragons: a tool for quantifying novelty due to covariate range and correlation change when projecting species distribution models (2014) — 228 citations
- CliMond: global high‐resolution historical and future scenario climate surfaces for bioclimatic modelling (2012) — 697 citations
- Modelling horses for novel climate courses: insights from projecting potential distributions of native and alien Australian acacias with correlative and mechanistic models (2011) — 231 citations