A NEIGHBORHOOD ANALYSIS OF TREE GROWTH AND SURVIVAL IN A HURRICANE‐DRIVEN TROPICAL FOREST
By María Uriarte, Charles D. Canham, Jill Thompson, J. Zimmerman. 2004
281 citations recorded by the source corpus.
Subfields: Global and Planetary Change, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/f64afec7db3e8134f9bab66167b3ae809d9bff20
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
- Charles D. Canham
- K. David Coates
- David A. Coomes
- H. Muller‐Landau
- R. Allen
- L. Gómez‐Aparicio
- Rasmus Astrup
- Philip T. LePage
In Nature and Landscape Conservation
- Charles D. Canham
- David A. Coomes
- H. Muller‐Landau
- Stephen P. Hubbell
- L. Comita
- K. David Coates
- L. Gómez‐Aparicio
- R. Allen
Citations in the corpus
- Testing predictions of the Janzen–Connell hypothesis: a meta-analysis of experimental evidence for distance- and density-dependent seed and seedling survival (2014, background): “Observational studies have reported negative density-dependent recruitment, growth and survival for saplings and adult plants (Peters 2003; Uriarte et al. 2004; Stoll & Newbery 2005; Steinitz et al. 2011; Piao et al. 2013).”
- Climate and competition effects on tree growth in Rocky Mountain forests (2017, background): “The functional shapes of these responses were nonlinear for all species, consistent with results from other analyses of neighbourhood dynamics (Uriarte et al. 2004a; Canham et al. 2006; Fern andez-de-U~na, Ca~nellas & GeaIzquierdo 2015).”
- NEIGHBORHOOD MODELS OF THE EFFECTS OF INVASIVE TREE SPECIES ON ECOSYSTEM PROCESSES (2008, background): “These models have been frequently applied to the study of population dynamics and interactions among sessile organisms, particularly plants (e.g., Uriarte et al. 2004), but there is a wide potential use of this approach for the study of any ecosystem process where the spatial configuration of…”
- A forest structure model that determines crown layers and partitions growth and mortality rates for landscape‐scale applications of tropical forests (2012, background): “…dynamic rates (growth and mortality) is through neighbourhood competition indices, which do not measure light effects on dynamic rates directly, but instead determine dynamic rates based on the size and ⁄or distance of neighbouring trees (Gourlet-Fleury & Houllier 2000; Uriarte et al. 2004a,b).”
- Causes and implications of the correlation between forest productivity and tree mortality rates (2011, background): “Even though tree density at BCI is about twice that of the Pacific States, the forest’s total basal area (a more accurate index of potential for competition [Uriarte et al. 2004, Canham et al. 2006]) is only one-third that of the Pacific States.”
- A neighborhood analysis of canopy tree competition : effects of shading versus crowding (2004, methodology): “An analysis with similar methods in a species-rich tropical forest revealed equally striking variation in the strength of interspecific competition (Uriarte et al. 2004).”
- CTFS‐ForestGEO: a worldwide network monitoring forests in an era of global change (2015, background): “…pattern of populations (Condit, 2000); conduct spatially explicit analyses of neighborhood influences (Condit et al., 1992; Hubbell et al., 2001; Uriarte et al., 2004, 2005; R€uger et al., 2011, 2012; Lutz et al., 2014); characterize microhabitat specificity and controls on demography, biomass,…”
- Growth responses of neotropical trees to logging gaps (2010, background): “Studies addressing differential response to light among larger trees have used approximations based on neighbourhood competition, nearby canopy area or some definition of a canopy illumination index (Clark & Clark 1999; Hubbell et al. 1999; Keller et al. 2004; Uriarte et al. 2004b).”
- Species resistance and community response to wind disturbance regimes in northern temperate forests (2006, background): “In tropical forests, crown damage is far more common than outright mortality (Walker 1991), and our empirical methods have been extended to predict levels of damage rather than simply survival vs. mortality as a function of storm severity (e.g. Uriarte et al . 2004 ).”