Observer error in vegetation surveys:a review  被引量:2

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作  者:Lloyd W.Morrison 

机构地区:[1]Department of Biology,Missouri State University,901 S.National Avenue,Springfield,MO 65897,USA [2]National Park Service,Heartland Inventory and Monitoring Program,6424 W.Farm Road 182,Republic,MO 65738,USA

出  处:《Journal of Plant Ecology》2016年第4期367-379,共13页植物生态学报(英文版)

摘  要:Aims Vegetation sampling employing observers is prone to both inter-observer and intra-observer error.Three types of errors are common:(i)overlooking error(i.e.not observing species actually present),(ii)misidentification error(i.e.not correctly identifying species)and(iii)estimation error(i.e.not accurately estimating abundance).I conducted a literature review of 59 articles that provided quantitative estimates or statistical inferences regarding observer error in vegetation studies.Important FindingsAlmost all studies(92%)that tested for a statistically significant effect of observer error found at least one significant comparison.In surveys of species composition,mean pseudoturnover(the percentage of species overlooked by one observer but not another)was 10-30%.Species misidentification rates were on the order of 5-10%.The mean coefficient of variation(CV)among observers in surveys of vegetation cover was often several hundred%for species with low cover,although CVs of 25-50%were more representative of species with mean covers of>50%.A variety of metrics and indices(including commonly used diversity indices)and multivariate data analysis techniques(including ordinations and classifications)were found to be sensitive to observer error.Sources of error commonly include both characteristics of the vegetation(e.g.small size of populations,rarity,morphology,phenology)and attributes of the observers(e.g.mental fatigue,personal biases,differences in experience,physical stress).The use of multiple observers,additional training including active feedback approaches,and continual evaluation and calibration among observers are recommended as strategies to reduce observer error in vegetation surveys.

关 键 词:interobserver error intraobserver error MISIDENTIFICATION pseudoturnover vegetation sampling 

分 类 号:TP1[自动化与计算机技术—控制理论与控制工程]

 

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