Tang Y1, SS Jin2
Phyton-International Journal of Experimental Botany, Vol.87, pp. 280-285, 2018, DOI:10.32604/phyton.2018.87.280
Abstract Persistent seed banks have been detected in the Horqin Sandy Land, China using experimental methods. In this study, we used seed traits (i.e. seed mass and seed shape) to predict the persistence of seed banks using the random forest algorithm. The results showed that the mean decrease in accuracy for seed mass and seed shape was 18.26 and 9.90, respectively, suggesting that seed mass was a better predictor than seed shape. With increasing seed mass, the log of P (where P is the ratio of the number of votes selecting existence of a persistent seed bank to the number of… More >
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