Sample shape, spatial scale and species counts: Implications for reserve design
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More species, less effort: Designing and comparing sampling strategies to draft optimised floristic inventories
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2019, Ecological EngineeringOptimizing sampling effort and information content of biodiversity surveys: a case study of alpine grassland
2019, Ecological InformaticsConservation through co-occurrence: Woodland caribou as a focal species for boreal biodiversity
2019, Biological ConservationThe importance of plot size and the number of sampling seasons on capturing macrofungal species richness
2018, Fungal BiologyCitation Excerpt :Although our study did not have the goal of determining the effect of plot shape, previous studies have reported that the relationship between plot shape and the measurement of species diversity (Myers and Chapman, 1953; Kunin, 1997; Keeley and Fotheringham, 2005), using square (Pradhan et al., 2013), rectangular (O'Hanlon and Harrington, 2012b) and circular plots (Smith et al., 2002) in macrofungal sampling design. For example, Kunin (1997) found that species number in elongated plots is significantly more than that in square plots, however, Keeley and Fotheringham (2005) didn't find the evidence that plot shape affected on species richness. Nevertheless, square and rectangular plots have been the dominant choice (Smith et al., 2002; O'Hanlon and Harrington, 2012b).
Shape matters in sampling plant diversity: Evidence from the field
2015, Ecological ComplexityCitation Excerpt :Species richness is expected to increase with a decrease in the degree of compactness or adjacency of sampling units (from squares to long, elongated plots), due to expected increases in the probability to include a larger number of habitats and/or a higher heterogeneity in the environmental conditions (Kunin, 1997; Dengler, 2008, 2009; Bacaro and Ricotta, 2007; Stohlgren, 2007; Rocchini et al., 2009; Chiarucci et al., 2009). In particular, species richness tends to decrease with increasing compactness (Kunin, 1997; Stohlgren, 2007; Dengler, 2008, 2009) or with increasing dispersal limitation, as suggested by Hubbell's (2001) neutral theory. However, a capacity to encompass more environmental variability likely depends upon the orientation of the long side of rectangles or elongated plots in relation to the direction on one or more environmental gradients.