2006
DOI: 10.1111/j.1654-1103.2006.tb02449.x
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Effects of sampling time, species richness and observer on the exhaustiveness of plant censuses

Abstract: Question: How may sampling time affect exhaustiveness of vegetation censuses in interaction with observer effect and quadrat species richness? Location: French lowland forests. Methods: Two data sets comprised of 75 timed, one‐hour censuses of vascular plants carried out by five observers on 24 400‐m2 forest quadrats were analysed using mixed‐effect models. Results: The level of exhaustiveness increased in a semi‐logarithmic way with sampling time and decreased with quadrat species richness. After one hour… Show more

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Cited by 93 publications
(80 citation statements)
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“…In 2006, we standardized both sampling time (to 30 min with two operators) and sampling area (to 400 m 2 ) in order to correct for lack of exhaustiveness in plant inventories (Archaux et al 2006). In addition, we visually estimated the global cover percentage for each vegetation layer.…”
Section: Sampling Designmentioning
confidence: 99%
“…In 2006, we standardized both sampling time (to 30 min with two operators) and sampling area (to 400 m 2 ) in order to correct for lack of exhaustiveness in plant inventories (Archaux et al 2006). In addition, we visually estimated the global cover percentage for each vegetation layer.…”
Section: Sampling Designmentioning
confidence: 99%
“…MIVs were used to separately assess climate, light and nutrient richness conditions. Ellenberg et al (1992) and Gégout et al (2005) A total of 63 teams with different levels of expertise in plant identification were involved in floristic data gathering, and as a result, random variation could be substantial due to observer effects, overlooking plants, and species misidentification (Archaux et al 2006). However, the MIV system is considered a robust bioindicator tool that is only weakly influenced by plant survey exhaustiveness and plot size (Ewald 2003;Archaux et al 2007).…”
Section: Mean Plant Indicator Values (Miv)mentioning
confidence: 99%
“…We checked the robustness of the CA axes towards potential inaccuracies of floristic censuses due to time or spatial strategies or the observer (Archaux et al, 2006;2007) and towards analysis options. This verification was performed with a Multiple Factorial Analysis (MFA) (Escofier and Pages, 1994) testing the stability of CA axes and plot coordinates: on one hand, by increasing the number of plots where a plant must be present to be taken into account from 3 to 30, and on the other hand, comparing presence/absence and BraunBlanquet coefficients in the analysis.…”
Section: Robustness Of the Model Designmentioning
confidence: 99%
“…The flora census was performed with a "variable-time strategy with minimum time limit" (Archaux et al, 2006), e.g. for a minimum of 1/2 h with a stop if no new species was found within 5 min.…”
Section: Variablesmentioning
confidence: 99%