Linda Beaumont

Ecological Modeling · 2002–2021

A researcher in the Science corpus: 9 papers; trusts 21 researchers and is trusted by 34 researchers here, as inferred from the citation graph.

Subfields

• Ecological Modeling — 147 citations into it; #172 of 2,530 by trust here, #53 by citations
• Nature and Landscape Conservation — 127 citations into it; #486 of 6,941 by trust here, #120 by citations
• Ecology — 91 citations into it
• Ecology, Evolution, Behavior and Systematics — 52 citations into it; #382 of 6,648 by trust here, #80 by citations
• Global and Planetary Change — 35 citations into it
• Genetics — 15 citations into it
• Atmospheric Science — 9 citations into it

Whom Linda Beaumont trusts overall

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

1. Wilfried Thuiller
2. Antoine Guisan
3. Miguel B. Araújo
4. A. Townsend Peterson
5. Lesley Hughes
6. J. Pearce
7. C. Parmesan
8. N. E. Zimmermann
9. M. Boyce
10. Jorge M. Lobo

Who trusts Linda Beaumont overall

1. Risto Heikkinen
2. Michael B. Ashcroft
3. D. Ward
4. Miska Luoto
5. R. Sutherst
6. Wilfried Thuiller
7. Josef Settele
8. N. Andrew
9. Lesley Hughes
10. Robert J. Hijmans

Papers from Linda Beaumont's perspective

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

1. Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
2. Extinction risk from climate change (Nature)
3. Predictive habitat distribution models in ecology
4. BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
5. A globally coherent fingerprint of climate change impacts across natural systems (Nature)
6. Patterns and uncertainties of species' range shifts under climate change
7. Maximum entropy modeling of species geographic distributions
8. Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
9. Evidence of climatic niche shift during biological invasion. (Ecology Letters)
10. A SYSTEMATIC ANALYSIS OF FACTORS AFFECTING THE PERFORMANCE OF CLIMATIC ENVELOPE MODELS

Their papers

• ENMTools 1.0: an R package for comparative ecological biogeography (2021) — 392 citations
• Which species distribution models are more (or less) likely to project broad-scale, climate-induced shifts in species ranges? (2016) — 128 citations
• Evidence for climatic niche and biome shifts between native and novel ranges in plant species introduced to Australia (2010) — 233 citations
• Different climatic envelopes among invasive populations may lead to underestimations of current and future biological invasions (2009) — 337 citations
• Where will species go? Incorporating new advances in climate modelling into projections of species distributions (2007) — 214 citations
• A matter of timing: changes in the first date of arrival and last date of departure of Australian migratory birds (2006) — 106 citations
• Predicting species distributions: use of climatic parameters in BIOCLIM and its impact on predictions of species’ current and future distributions (2005) — 567 citations
• Extinction risk from climate change (2004) — 7,901 citations
• Potential changes in the distributions of latitudinally restricted Australian butterfly species in response to climate change (2002) — 206 citations