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Title:Comparing observer performance in vegetation records by efficiency graphs derived from rarefaction curves
Authors:ID Seidling, Walter (Author)
ID Hamberg, Leena (Author)
ID Máliš, František (Author)
ID Salemaa, Maija (Author)
ID Kutnar, Lado (Author)
ID Czerepko, Janusz (Author)
ID Kompa, Thomas (Author)
ID Buriánek, Václav (Author)
ID Dupouey, Jean-Luc (Author)
ID Vodálová, Anna (Author)
ID Canullo, Roberto (Author)
Files:URL URL - Presentation file, visit https://doi.org/10.1016/j.ecolind.2019.105790
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Not in organisation
Abstract:Species richness is a key variable in measuring diversity of ecological communities. It is crucial to get reliable estimates for the number of plant species in space (mapping) and % even more important in the context of monitoring % over time. Therefore, knowledge on error rates related to recordings of species numbers should be considered in such inventories. The performance of observers in four field tests to capture species numbers carried out in forest ecosystems in central and southern Europe were compared. Observer-related species accumulation (rarefaction) curves and derived efficiency curves were analysed, resulting in mean error rates of 29.7% and 39.4% over series of plots sized 4m2 and 100m2 respectively. As a new approach individual rarefaction and efficiency curves reveal site-specific and spatially differentiated capabilities of observers to register plant species. Since expertise and individual searching strategies are difficult to parametrise, reasons for variation in error rates remain largely unknown. However, statistical modelling with site- and scale-specific mean error rates gave an overview on important influential factors like location, scale, spatial integration, and their interactions. Our results underline the importance to incorporate specific training and inter-comparison measures in monitoring programs and critical perception of results on temporal changes of species richness.
Keywords:species richness, observer error, overlooking rate, misidentification rate, singleton species, ICP Forests
Year of publishing:2020
Number of pages:11 str.
Numbering:Vol. 109, article 105790
PID:20.500.12556/DiRROS-10987 New window
UDC:630*17
ISSN on article:1470-160X
DOI:10.1016/j.ecolind.2019.105790 New window
COBISS.SI-ID:5600934 New window
Publication date in DiRROS:20.02.2020
Views:1983
Downloads:825
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Record is a part of a journal

Title:Ecological indicators. integrating monitoring, assessment and management
Publisher:Elsevier
ISSN:1470-160X
COBISS.SI-ID:912981 New window

Secondary language

Language:Undetermined
Keywords:pestrost vrst, napaka opazovalca, stopnja spregleda, stopnja napačne določitve, ICP Forests


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