Detecting differences in crown transparency assessments between countries using the image analysis system CROCO.

作者: Nobuya Mizoue , Matthias Dobbertin

DOI: 10.1023/A:1026044701939

关键词: Scots pineRank correlationStatisticsBotanyBeechGeographyFagus sylvaticaStandard deviationQuercus roburAbies albaPicea abies

摘要: Estimates of crown transparency calculated using the semi-automatic image analysis system CROCO were compared with visual estimates survey teams from 12 European countries. For each five species (Norway spruce (Picea abies (L.) Karst.), silver fir (Abies alba Mill.), Scots pine (Pinus sylvestris L.), beech (Fagus sylvatica oak (Quercus robur L.)) 15 trees assessed. In 64% comparisons, and teams' scores differed significantly, while differences between countries significant in 58% all comparisons. We Spearman's rank correlation standard deviation country pairs then computed medians for country. only a few had higher median lower than comparison addition no consistently or CROCO. conclude that can provide more consistent less variable assessments it serve as reference to detect over time.

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