Effects of sampling teams and estimation methods on the assessment of plant cover

By S. Kercher, Christin B. Frieswyk, J. Zedler. 2003

168 citations recorded by the source corpus.

Subfields: Ecological Modeling, Nature and Landscape Conservation, Plant Science

View Paper: https://www.semanticscholar.org/paper/ff895eecb714ea70725e5c1cecadb729b7aa78d6

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In Ecological Modeling

In Nature and Landscape Conservation

In Plant Science

Citations in the corpus

Weed Abundance, Distribution, Diversity, and Community Analyses (2015, unknown): “It is typically categorized as visual estimates, and as such, can be subjective and relatively inaccurate (Kercher et al. 2003).”
Using digital photographs and object-based image analysis to estimate percent ground cover in vegetation plots (2006, methodology): “However, subjective methods based on visual estimation are prone to observer bias (Stohlgren et al. 1998) and are not repeatable (ie different observers will almost certainly record different measurements for the same quantity; Kercher et al. 2003).”
Wild bee pollinators provide the majority of crop visitation across land‐use gradients in New Jersey and Pennsylvania, USA (2007, methodology): “For the latter, we used the line intercept method ( Kercher, Frieswyk & Zedler 2003 ).”
Weed-Species Abundance and Diversity Indices in Relation to Tillage Systems and Fertilization (2018, background): “However, visual under- or overestimations may occur (Kercher et al., 2003).”
A New Approach for Tracking Vegetation Change after Restoration: A Case Study with Peatlands (2013, methodology): “Although 2 Restoration Ecology LPI may overestimate the cover of some species relatively to direct percent cover data (Kercher et al. 2003), our two datasets should be comparable as LPI data were transformed into more adequate occurrence frequencies.”
Effects of sampling time, species richness and observer on the exhaustiveness of plant censuses (2006, background): “Kercher et al. (2003) found that the pseudoturnover increased with species richness in 1-m2 herbaceous wetland quadrats and they proposed that more time should be allocated for sampling rich plots.”
Observer bias and random variation in vegetation monitoring data (2008, background): “4): scant occurrences are more likely missed (see also Lepš & Hadincová 1992; Kercher et al. 2003; Vittoz & Guisan 2007).”