1999
DOI: 10.2307/4003786
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Measuring and Monitoring Plant Populations

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Cited by 30 publications
(44 citation statements)
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“…In each subplot, we assessed herbaceous vascular plants by selecting only plants that did not possess a woody stem above ground at maturity and counted their abundance (individual plant number). When a species was very dominant in one subplot, we estimated their abundance by extrapolating the number of individual plant from a small area (10 cm x 10 cm) in which we could count the individual plant (Carpenter et al, 1999). We also attributed each species to one of the following categories based on its growth form: fern, vine (climbing plants excluding fern), graminoids (Poaceae and Cyperaceae) and other herb (non-climbing flowering herbs).…”
Section: Herbaceous Plants Assessment and Species Origin Categorisamentioning
confidence: 99%
“…In each subplot, we assessed herbaceous vascular plants by selecting only plants that did not possess a woody stem above ground at maturity and counted their abundance (individual plant number). When a species was very dominant in one subplot, we estimated their abundance by extrapolating the number of individual plant from a small area (10 cm x 10 cm) in which we could count the individual plant (Carpenter et al, 1999). We also attributed each species to one of the following categories based on its growth form: fern, vine (climbing plants excluding fern), graminoids (Poaceae and Cyperaceae) and other herb (non-climbing flowering herbs).…”
Section: Herbaceous Plants Assessment and Species Origin Categorisamentioning
confidence: 99%
“…Second, were employed the point-intercept method Elzinga et al [53], based on four transects of 20 m located 20 m apart from each other, each containing 41 sampling points 30 cm from each other. Lichen species were registered at each sampling quadrat and point along transects (Fig.…”
Section: Sampling Designmentioning
confidence: 99%
“…However, the method tends not to be used for taxa that occur at high densities, such as many plants. Instead, direct count methods—generally based on a strip, plot or plotless design that assumes perfect detection—are preferred (Bonar et al., 2010; Carpenter et al., 1999; Hill, 2005; Shiver & Borders, 1996). In the authors' experience, reluctance to use distance methods is influenced by the perception that the method is impractical: the standard implementation requires measuring distance to all observed targets, which means very frequent measuring when detections are common.…”
Section: Introductionmentioning
confidence: 99%