Welmoed A Out, Rand Evett, Kristýna Hošková, Robert C Power, Javier Ruiz-Pérez, Monica Tromp, Luc Vrydaghs, Kali Wade, Mario Hasler
{"title":"植物岩石形态测量中观察者之间和观察者内部的差异。","authors":"Welmoed A Out, Rand Evett, Kristýna Hošková, Robert C Power, Javier Ruiz-Pérez, Monica Tromp, Luc Vrydaghs, Kali Wade, Mario Hasler","doi":"10.1093/aob/mcae116","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Archaeobotanists and palaeoecologists use geometric morphometrics extensively to identify plant opal phytoliths. Particularly when applied to assemblages of phytoliths from concentrations retrieved from closed contexts, morphometric data from archaeological phytoliths compared with similar data from reference material can allow taxonomic attribution. Observer variation is one aspect of phytolith morphometry that has received little attention but might be an important source of error and a potential cause of misidentification of plant remains.</p><p><strong>Scope: </strong>To investigate inter- and intra-observer variation in phytolith morphometry, eight researchers (observers) from different laboratories measured 50 samples each from three phytolith morphotypes (Bilobate, Bulliform flabellate and Elongate dendritic) three times, under the auspices of the International Committee for Phytolith Morphometrics (ICPM).</p><p><strong>Methods: </strong>Data for 17 size and shape variables were collected for each phytolith by manually digitizing a phytolith outline (mask) from a photograph, followed by measurement of the mask with open-source morphometric software.</p><p><strong>Key results: </strong>Inter-observer variation ranged from 0 to 23 % difference from the mean of all observers. Intra-observer variation ranged from 0 to 9 % difference from the mean of individual observers per week. Inter- and intra-observer variation was generally higher among inexperienced researchers.</p><p><strong>Conclusions: </strong>Scaling errors were a major cause of variation and occurred more with less experienced researchers, which is likely to be related to familiarity with data collection. The results indicate that inter- and intra-observer variation can be reduced substantially by providing clear instructions for and training with the equipment, photograph capturing, software, data collection and data cleaning. In this paper, the ICPM provides recommendations to minimize variation. Advances in automatic data collection might eventually reduce inter- and intra-observer variation, but until this is common practice, the ICPM recommends that phytolith morphometric analyses adhere to standardized guidelines to assure that measured phytolith variables are accurate, consistent and comparable between different researchers and laboratories.</p>","PeriodicalId":8023,"journal":{"name":"Annals of botany","volume":" ","pages":"851-866"},"PeriodicalIF":3.6000,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12064434/pdf/","citationCount":"0","resultStr":"{\"title\":\"Inter- and intra-observer variation in phytolith morphometry.\",\"authors\":\"Welmoed A Out, Rand Evett, Kristýna Hošková, Robert C Power, Javier Ruiz-Pérez, Monica Tromp, Luc Vrydaghs, Kali Wade, Mario Hasler\",\"doi\":\"10.1093/aob/mcae116\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Archaeobotanists and palaeoecologists use geometric morphometrics extensively to identify plant opal phytoliths. Particularly when applied to assemblages of phytoliths from concentrations retrieved from closed contexts, morphometric data from archaeological phytoliths compared with similar data from reference material can allow taxonomic attribution. Observer variation is one aspect of phytolith morphometry that has received little attention but might be an important source of error and a potential cause of misidentification of plant remains.</p><p><strong>Scope: </strong>To investigate inter- and intra-observer variation in phytolith morphometry, eight researchers (observers) from different laboratories measured 50 samples each from three phytolith morphotypes (Bilobate, Bulliform flabellate and Elongate dendritic) three times, under the auspices of the International Committee for Phytolith Morphometrics (ICPM).</p><p><strong>Methods: </strong>Data for 17 size and shape variables were collected for each phytolith by manually digitizing a phytolith outline (mask) from a photograph, followed by measurement of the mask with open-source morphometric software.</p><p><strong>Key results: </strong>Inter-observer variation ranged from 0 to 23 % difference from the mean of all observers. Intra-observer variation ranged from 0 to 9 % difference from the mean of individual observers per week. Inter- and intra-observer variation was generally higher among inexperienced researchers.</p><p><strong>Conclusions: </strong>Scaling errors were a major cause of variation and occurred more with less experienced researchers, which is likely to be related to familiarity with data collection. The results indicate that inter- and intra-observer variation can be reduced substantially by providing clear instructions for and training with the equipment, photograph capturing, software, data collection and data cleaning. In this paper, the ICPM provides recommendations to minimize variation. Advances in automatic data collection might eventually reduce inter- and intra-observer variation, but until this is common practice, the ICPM recommends that phytolith morphometric analyses adhere to standardized guidelines to assure that measured phytolith variables are accurate, consistent and comparable between different researchers and laboratories.</p>\",\"PeriodicalId\":8023,\"journal\":{\"name\":\"Annals of botany\",\"volume\":\" \",\"pages\":\"851-866\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-05-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12064434/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of botany\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/aob/mcae116\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"PLANT SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of botany","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/aob/mcae116","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"PLANT SCIENCES","Score":null,"Total":0}
Inter- and intra-observer variation in phytolith morphometry.
Background: Archaeobotanists and palaeoecologists use geometric morphometrics extensively to identify plant opal phytoliths. Particularly when applied to assemblages of phytoliths from concentrations retrieved from closed contexts, morphometric data from archaeological phytoliths compared with similar data from reference material can allow taxonomic attribution. Observer variation is one aspect of phytolith morphometry that has received little attention but might be an important source of error and a potential cause of misidentification of plant remains.
Scope: To investigate inter- and intra-observer variation in phytolith morphometry, eight researchers (observers) from different laboratories measured 50 samples each from three phytolith morphotypes (Bilobate, Bulliform flabellate and Elongate dendritic) three times, under the auspices of the International Committee for Phytolith Morphometrics (ICPM).
Methods: Data for 17 size and shape variables were collected for each phytolith by manually digitizing a phytolith outline (mask) from a photograph, followed by measurement of the mask with open-source morphometric software.
Key results: Inter-observer variation ranged from 0 to 23 % difference from the mean of all observers. Intra-observer variation ranged from 0 to 9 % difference from the mean of individual observers per week. Inter- and intra-observer variation was generally higher among inexperienced researchers.
Conclusions: Scaling errors were a major cause of variation and occurred more with less experienced researchers, which is likely to be related to familiarity with data collection. The results indicate that inter- and intra-observer variation can be reduced substantially by providing clear instructions for and training with the equipment, photograph capturing, software, data collection and data cleaning. In this paper, the ICPM provides recommendations to minimize variation. Advances in automatic data collection might eventually reduce inter- and intra-observer variation, but until this is common practice, the ICPM recommends that phytolith morphometric analyses adhere to standardized guidelines to assure that measured phytolith variables are accurate, consistent and comparable between different researchers and laboratories.
期刊介绍:
Annals of Botany is an international plant science journal publishing novel and rigorous research in all areas of plant science. It is published monthly in both electronic and printed forms with at least two extra issues each year that focus on a particular theme in plant biology. The Journal is managed by the Annals of Botany Company, a not-for-profit educational charity established to promote plant science worldwide.
The Journal publishes original research papers, invited and submitted review articles, ''Research in Context'' expanding on original work, ''Botanical Briefings'' as short overviews of important topics, and ''Viewpoints'' giving opinions. All papers in each issue are summarized briefly in Content Snapshots , there are topical news items in the Plant Cuttings section and Book Reviews . A rigorous review process ensures that readers are exposed to genuine and novel advances across a wide spectrum of botanical knowledge. All papers aim to advance knowledge and make a difference to our understanding of plant science.