[Difference analysis in estimating biomass conversion and expansion factors of masson pine in Fujian Province, China based on national forest inventory data: A comparison of three decision tree models of ensemble learning.] / åŸºäºŽæ¸ æŸ¥æ•°æ®çš„ç¦å»ºçœé©¬å°¾æ¾ç”Ÿç‰©é‡è½¬æ¢å’Œæ‰©å±•å› å­ä¼°ç®—å·®å¼‚è§£æž­­3ç§é›†æˆå­¦ä¹ å†³ç­–æ ‘æ¨¡åž‹çš„æ¯”è¾ƒ.

Biomass conversion and expansion factors (BCEFs) are important parameters for estimating carbon storage in forest biomass. Clarifying the source of differences in estimating BCEFs could reduce uncertainties in forest biomass carbon estimation. The decision tree models of ensemble learning can be used to properly figure out the source of differences in estimating BCEFs. However, the comparison of different decision tree models for analyzing differences in estimating BCEFs has never been reported. In this study, three models [the boosted regression trees (BRT), random forest(RF), and Cubist] and data of 331 masson pine plots from the 8th Chinese National Forest Inventory for Fujian Province were used to analyze the differences in estimating BCEFs (including above- and below-ground). The results showed that BCEFs were following right-skewed distribution, with the mean, minimum and maximum value being 0.69 t·m-3, 0.67 t·m-3 and 0.71 t·m-3, respectively. All three models performed well in BCEFs prediction and fitting, and could explain more than 92.8% variations of BCEFs. All three models showed that average DBH and volume were the top two highest relative importance predictors. BCEFs decreased with the increases of average DBH and volume. Stand characteristics factors, such as average DBH, volume, average age and average height, had great influence on BCEFs. Both soil factors and topographic factors had little influence on BCEFs. Using a few variables (such as average DBH, volume, average age and avera-ge height) which contained more BCEFs prediction information could have preferable forecasting precision when building BCEFs models. Moreover, widely representative samples with different average tree ages, average DBH and volume should be chosen to calculate BCEFs when applying constant BCEFs.

[Effects of Pb Stress on Photosynthetic Pigment Biosynthesis and Growth of Rabdosia rubescens].

OBJECTIVE: To study the impacts of lead (Pb) stress on the leaf photosynthetic pigment and the growth of Rabdosia rubescens,in order to provide a basis for planting area selection and growth regulation. METHODS: Taking chlorophyll a, chlorophyll b, carotenoids, growth rate, biomass and Pb content as the indexes, the Ramets hydroponic experiments at Pb concentration levels (135,270 and 540 mg/L) in the time(20, 35 and 50 d) were carried out. Photosynthetic pigment content was determined by spectrophotometer, and Pb mass fraction was detected with plasma emission spectrometer. RESULTS: There was uncertain effect on chlorophyll and carotenoid synthesis in different Pb concentrations in-early period (20 and 35 d). At the time of 50 d, the chlorophyll content was higher in the low-mid Pb concentrations, significantly lower in the high Pb concentration compared with the control group, and there were no significant differences on carotenoid contents in different Pb concentrations. CONCLUSION: Low-mid Pb concentrations can promote chlorophyll synthesis, and the bioaccumulation of high Pb concentration can inhibit the chlorophyll synthesis, and then restrict the growth of Rabdosia rubescens.

[Effects of Pb2+ stress on seed germination & seedling growth of Rabdosia rubescens].

The seeds of Rabdosia rubescens were as the materials to research the impacts of different lead (Pb2+) concentrations(0, 135, 270, 540, 1 080 mg x L(-1)) on seed germination and seedling growth. The results show that: Low concentration of lead had no obvious effect on early germination of the seed, the germination vigor and germination speed were lightly higher but not significantly differed at the level of Pb concentration 135 mg x L(-1) with control group; Mid-high concentration of Pb solution (270-1 080 mg x L(-1)) significantly inhibited the seed germination and seedling growth, which reduced the seed germination rate, germination vigor, germination index, embryo root length and shoot length, growth index with increasing of Pb concentrations. There was a inhibitory effect on embryo shoot length and root length at mid-high lead concentrations stress, and stronger inhibitory effect on root , which was more sensitive than shoot to Pb stress(P < 0.05). Pb bioaccumulation coefficient (BC) was 0.76-2.59, increased with concentration of Pb; Pb enrichment in seedling mainly caused the growth inhibition. The fitting model predictive analyses show, the critical concentration of Pb, which causes the germination rate and biomass fresh weight reducing 10%, is 195.18, 101.65 mg x L(-1).