Species richness, species-area curves and Simpson's paradox

By S. Scheiner, S. Cox, M. Willig, G. Mittelbach, Craig W. Osenberg, M. Kaspari. 2000

243 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/9291683a830d8dfa8ce383c9f35896b831424705

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Citations in the corpus

UvA-DARE ( Digital Academic Repository ) Simpson ' s paradox in psychological science : a practical guide (2017, background): “Despite the fact that SP has been repeatedly recognized in data sets, documented cases are often treated as noteworthy exceptions (e.g., Bickel et al., 1975; Scheiner et al., 2000; Chuang et al., 2009).”
Patterns of species density and productivity at different spatial scales in herbaceous plant communities (2000, methodology): “That is, in each data set we may be sampling ascending, flat, or descending portions of a true unimodal relationship that exist across a broader range of ANPP (Rosenzweig 1995, Scheiner et al. 2000).”
MoB (Measurement of Biodiversity): a method to separate the scale-dependent effects of species abundance distribution, density, and aggregation on diversity change (2018, background): “Scale and sampling effort Grain or the scale of interest (focus sensu Scheiner et al. 2000) can be varied by considering different numbers of individuals or plots (i.e., the sampling effort) from the α-scale (a single plot) to the γ-scale (all plots in a treatment).”
Relationships Among Indices Suggest that Richness Is an Incomplete Surrogate for Grassland Biodiversity (2005, background): “Creek, an area 0.1 ϫ 3 m was clipped; all others were square in shape. not done across sites because the size of the sampling units differed among sites and many aspects of diversity are scale dependent (Scheiner et al. 2000, Willig et al. 2003).”
CYCLIC ASSEMBLY TRAJECTORIES AND SCALE‐DEPENDENT PRODUCTIVITY–DIVERSITY RELATIONSHIPS (2004, background): “One manner in which scale can affect productivity–diversity relations occurs when spatial focus is varied, namely the spatial scale at which diversity data are measured and aggregated (Gross et al. 2000, Scheiner et al. 2000, Chase and Leibold 2002).”
Scale dependence in the species-richness-productivity relationship: The role of species turnover (2004, background): “If the spatial or temporal extent is limited, then only a portion of broader relationships between productivity, turnover, and richness at local and regional foci may be captured (Guo and Berry 1999, Scheiner et al. 2000).”
BIOGEOGRAPHY AT A REGIONAL SCALE: DETERMINANTS OF ANT SPECIES DENSITY IN NEW ENGLAND BOGS AND FORESTS (2002, background): “This apparent ‘‘self-similarity’’ in pattern suggests that the causes for the latitudinal gradient do not depend on idiosyncratic differences between temperate and tropical communities, but operate just as strongly within temperate communities (Scheiner et al. 2000).”
Effects of resource availability and climate on the diversity of wood‐decaying fungi (2010, background): “As already mentioned and shown by Schreiner et al. (2000), studies of diversity also depend on grain.”
The flora of German cities is naturally species rich (2004, background): “Scheiner et al. (2000) distinguished three different components of scale: (1) the grain, which is the level of resolution at which the sampling took place; (2) the focus, being the level at which the analysis takes place, which can be the same size or larger than the grain; and (3) the extent,…”
When family matters: an analysis of Thelotremataceae (Lichenized Ascomycota: Ostropales) as bioindicators of ecological continuity in tropical forests (2008, background): “Log-transformation is appropriate since richness parameters, especially species richness, correlate with area in logarithmic fashion ( Scheiner et al. 2000; Sagar et al. 2003; Scheiner 2003, 2004).”