Mapping the risk of establishment and spread of sudden oak death in California
By Ross K. Meentemeyer, David M. Rizzo, W. Mark, E. Lotz. 2004
188 citations recorded by the source corpus.
Subfields: Cell Biology, Molecular Biology, Plant Science
View Paper: https://www.semanticscholar.org/paper/637089aa515a09b91172c8663f64b72c5a5261cc
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cell Biology
- Ross K. Meentemeyer
- Tomás Václavík
- T. E. Condeso
- J. Cushman
- João A. N. Filipe
- C. Gilligan
- Richard D. Hunter
- Alex R. Cook
In Molecular Biology
- Ross K. Meentemeyer
- Tomás Václavík
- T. E. Condeso
- J. Cushman
- João A. N. Filipe
- C. Gilligan
- Richard D. Hunter
- Alex R. Cook
In Plant Science
- Ross K. Meentemeyer
- Tomás Václavík
- J. Cushman
- John A. Kupfer
- João A. N. Filipe
- C. Gilligan
- Richard D. Hunter
- Alex R. Cook
Citations in the corpus
- Invasive species distribution modeling (iSDM): Are absence data and dispersal constraints needed to predict actual distributions? (2009, methodology): “Finally, we mapped the spatial distribution of the key nfectious host bay laurel (Umbellularia californica) using data sum arized in Meentemeyer et al. (2004).”
- Multi‐scale patterns of human activity and the incidence of an exotic forest pathogen (2008, background): “As a result, Moritz and Odion’s study area was much larger than ours and may have included many more inland forested regions that burn regularly but have less favourable climatic conditions and less foliar host vegetation for use by P. ramorum (see Meentemeyer et al. 2004).”
- Accounting for multi‐scale spatial autocorrelation improves performance of invasive species distribution modelling (iSDM) (2012, methodology): “Lastly, we used CALVEG data summarized by Meentemeyer et al. (2004) for California and geospatial vegetation data developed using gradient nearest neighbour (GNN) imputation for Oregon (Ohmann & Gregory, 2002; Pierce et al., 2009) at 30 m resolution to map the spatial distribution and abundance of…”
- Experimentally testing the role of foundation species in forests: the Harvard Forest Hemlock Removal Experiment (2010, background): “All these experiments complement long-term observational studies on hemlock decline in eastern North America (Orwig & Foster 1998; Orwig et al. 2002, 2008), sudden oak death in California and its arrival in New England (Rizzo & Garbelotto 2003; Meetenmeyer et al. 2004; Douglas 2005), and recent mort”
- Impact of sudden oak death on tree mortality in the Big Sur ecoregion of California (2008, background): “Keywords Big Sur Emerging infectious disease Forest disease Invasive species Landscape epidemiology Phytophthora ramorum Plant-pathogen Tree mortality Remote sensing R. K. Meentemeyer (&) D. A. Shoemaker C. B. Oneal Department of Geography and Earth Sciences, University of North Carolina at Charlott”
- Epidemiological modeling of invasion in heterogeneous landscapes: spread of sudden oak death in California (1990–2030) (2011, methodology): “GIS spatial models of vegetation distribution and weather conditions (Meentemeyer et al. 2004) enable us to resolve California’s heterogeneous landscapes into a detailed lattice of contiguous cells.”
- Equilibrium or not? Modelling potential distribution of invasive species in different stages of invasion (2012, methodology): “…in simulating the environmental niche of our virtual species, we used the host index variable (instead of individual hosts species), combining all hosts into a single predictor based on their abundance, susceptibility and spread potential (Meentemeyer et al., 2004; Vaclavik et al., 2010).”
- Effects of landscape heterogeneity on the emerging forest disease sudden oak death (2007, background): “However, given the high diversity and broad distribution of host species, this disease threatens thousands of hectares of woodlands (Rizzo & Garbelotto 2003; Meentemeyer et al . 2004; Barrett et al . 2006).”