Ross K. Meentemeyer
Nature and Landscape Conservation · 2002–2018
A researcher in the Science corpus: 11 papers; trusts 99 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Nature and Landscape Conservation — 111 citations into it
- Ecological Modeling — 105 citations into it; #976 of 2,530 by trust here, #1,318 by citations
- Ecology — 104 citations into it; #5,667 of 10,717 by trust here, #5,442 by citations
- Plant Science — 56 citations into it; #1,061 of 8,232 by trust here, #2,965 by citations
- Molecular Biology — 35 citations into it; #12,925 of 17,773 by trust here, #14,509 by citations
- Cell Biology — 34 citations into it; #1,228 of 2,073 by trust here, #1,528 by citations
- Global and Planetary Change — 28 citations into it
- Ecology, Evolution, Behavior and Systematics — 26 citations into it
Whom Ross K. Meentemeyer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David M. Rizzo
- Antoine Guisan
- A. Jiménez‐Valverde
- M. Garbelotto
- Jorge M. Lobo
- A. Townsend Peterson
- Miguel B. Araújo
- Steven J. Phillips
- Maggi Kelly
- Jane Elith
Who trusts Ross K. Meentemeyer overall
- Tomás Václavík
- J. Cushman
- Jane Elith
- John A. Kupfer
- David M. Rizzo
- Nik J. Cunniffe
- H. Reiss
- T. E. Condeso
- Alex R. Cook
- Andrew Storfer
Papers from Ross K. Meentemeyer's perspective
Ordered by how strongly the researchers Ross K. Meentemeyer trusts endorse each paper. Same corpus, a different order for every researcher.
- Predicting species distribution: offering more than simple habitat models. (Ecology Letters)
- Predictive habitat distribution models in ecology
- Spatial prediction of species distribution: an interface between ecological theory and statistical modelling
- Generalized Linear Models
- Extinction risk from climate change (Nature)
- Predicting the Geography of Species’ Invasions via Ecological Niche Modeling (The Quarterly review of biology)
- Evaluating presence-absence models in ecology: the need to account for prevalence
- Evaluating the predictive performance of habitat models developed using logistic regression
- An improved approach for predicting the distribution of rare and endangered species from occurrence and pseudo-absence data
- BIOMOD – optimizing predictions of species distributions and projecting potential future shifts under global change
Their papers
- Mapping the risk of establishment and spread of sudden oak death in California (2004) — 188 citations
- Exploring perceived restoration potential of urban green enclosure through immersive virtual environments (2018) — 141 citations
- Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion (2012) — 342 citations
- Ecosystem transformation by emerging infectious disease: loss of large tanoak from California forests (2012) — 116 citations
- Accounting for multi‐scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) (2012) — 117 citations
- Epidemiological modeling of invasion in heterogeneous landscapes: spread of sudden oak death in California (1990–2030) (2011) — 174 citations
- Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions? (2009) — 290 citations
- Multi‐scale patterns of human activity and the incidence of an exotic forest pathogen (2008) — 86 citations
- Impact of sudden oak death on tree mortality in the Big Sur ecoregion of California (2008) — 112 citations
- Effects of landscape heterogeneity on the emerging forest disease sudden oak death (2007) — 128 citations
- Landscape Dynamics of the Spread of Sudden Oak Death (2002) — 169 citations