Slowing down a pine invasion despite uncertainty in demography and dispersal
By Y. Buckley, E. Brockerhoff, L. Langer, N. Ledgard, Heather C. North, M. Rees. 2005
166 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/6675fd4a47b31aa3f30e148ee8af81a66281e358
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Global and Planetary Change
- Wilfried Thuiller
- Martin A. Nuñez
- Katriona Shea
- O. Skarpaas
- John R. U. Wilson
- D. Richardson
- M. Franco
- J. Bullock
In Nature and Landscape Conservation
- D. Richardson
- Petr Pyšek
- John R. U. Wilson
- Wilfried Thuiller
- Mathieu Rouget
- Eelke Jongejans
- Aníbal Pauchard
- Martin A. Nuñez
Citations in the corpus
- Ecology and management of invasive Pinaceae around the world: progress and challenges (2017, background): “Seed-producing pines upwind of vulnerable habitat (i.e. more exposed to dispersion by wind) and pines with a high volume of dispersible propagules (i.e. mature stands) should be prioritized for control (Buckley et al. 2005).”
- Dispersal and demography contributions to population spread of Carduus nutans in its native and invaded ranges (2008, methodology): “Since we are interested in the vital rate level, we used the following formula for calculating c*-sensitivity values of the vital rates (Caswell et al. 2003; Buckley et al. 2005):”
- What are the key drivers of spread in invasive plants: dispersal, demography or landscape: and how can we use this knowledge to aid management? (2011, background): “Alternatively control could be targeted at individuals in areas with a high frequency of dispersal opportunities, for example wind dispersed pine in windy sites (Buckley et al. 2005).”
- Integral projection models perform better for small demographic data sets than matrix population models: a case study of two perennial herbs. (2009, unknown): “Rees&Rose 2002; Childs et al. 2004; Rose, Louda & Rees 2005; Williams & Crone 2006; Hesse, Rees & MüllerSchärer 2008; Kuss et al. 2008). Using a large (n > 600 individuals) data set Easterling et al. (2000) found that matrix models and IPMs produced identical estimates of k for a perennial herb, and”
- Non‐random seed abscission, long‐distance wind dispersal and plant migration rates (2008, background): “This represents a population spreading from a starting location in discrete time steps and so is a general, if simplified, approach to modelling the expansion of a population into unoccupied habitat (Buckley et al. 2005; Le Corff & Horvitz 2005; Garnier & Lecomte 2006).”
- Residence time and potential range: crucial considerations in modelling plant invasions (2007, background): “The spread of wind-dispersed species is highly dependent on wind patterns and directions (e.g. Buckley et al. (2005)), and a species may only spread quickly if it is up-wind of its potential range.”
- Functional traits explain variation in plant life history strategies (2013, background): “However, when we removed one apparent outlier (Pinus nigra, a species with a long leaf lifespan but very low survival elasticity reported from a rapidly expanding invasive population) (36), leaf lifespan was positively associated with the elasticity to survival, even in the presence of growth form (”
- Dispersal, demography and spatial population models for conservation and control management (2008, methodology): “Buckley et al. (2005) used the NCM approach to show that the invasion speed of Pinus nigra in ungrazed grassland was mostly determined by long-distance dispersal, as well as by seedling survival and growth.”
- Pandora's Box Contained Bait : The Global Problem of Introduced Earthworms (2008, background): “Both families of models have been widely used to understand and predict the spread of invasive species from many taxonomic groups (e.g., Buckley et al. 2005, Krkosek et al. 2007).”