Spatial patterns in the understorey shrub genus Psychotria in central Amazonia: effects of distance and topography
By V. Kinupp, W. Magnusson. Journal of Tropical Ecology, 2005
94 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/df1494b4f91473e964a02b1bf15eea6d5b0e35b9
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
In Ecology
In Nature and Landscape Conservation
Citations in the corpus
- How far can we go in simplifying biomonitoring assessments? An integrated analysis of taxonomic surrogacy, taxonomic sufficiency and numerical resolution in a megadiverse region (2012, methodology): “In this study, we used five environmental variables (clay, silt and phosphorus (P) contents of the soil; terrain slope; and number of trees in the plot) that PPBio researchers had previously found to be the most important in explaining patterns in community structure of the different groups analyzed”
- Variation in aboveground tree live biomass in a central Amazonian Forest: Effects of soil and topography (2006, background): “Several studies have described the effects of soil and topography on the distribution of trees (Lescure and Boulet, 1985; Sabatier et al., 1997; Clark et al., 1999; Tuomisto et al., 2003) and understory plants (Kinupp and Magnusson, 2005; Costa et al., 2005).”
- Topographic and edaphic effects on the distribution of terrestrially reproducing anurans in Central Amazonia: mesoscale spatial patterns (2007, background): “In our models, edaphic and topographical variables explained 6–20% of the variance in abundance (or presence/absence) of the seven anuran species, a rate similar to that for understorey plants (Costa et al. 2005, Kinupp & Magnusson 2005).”
- The Need for Large-Scale, Integrated Studies of Biodiversity ? the Experience of the Program for Biodiversity Research in Brazilian Amazonia (2010, background): “Slope and altitude could also predict 20% of variation in composition of Psychotria (Rubiaceae) shrubs (Kinupp and Magnusson 2005).”