采用辐热积法对植株总干物质量的预测精度比有效积温法和比叶面积法分别提高56%和72%。
For the prediction of plant total dry weight, the prediction accuracy of TEP based model is 56% and 72%, respectively, higher than that of GDD and SLA based model.
结果表明：低温弱光胁迫使辣椒株高和茎粗增长及叶面积扩展变慢，但低温对植株生长的抑制作用比弱光更明显；
Results showed that the LTPL slowed down plant height and stem diameter enlargement and leaf area growth while plant growth was inhibited by low temperature more than poor light.
估计和评价植被蒸散耗水时，用叶面积指数或叶生长量指标可能比密度更符合生物学逻辑。
The LAI and leaves biomass may be better indicators than density for estimating and evaluating water consumption of vegetation, since it is more biological based.
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