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酒竹的个体生长发育规律及其相关模型

         

摘要

对酒竹钩梢带篼移植后枝叶数量分布和酒竹笋个体生长发育的可塑性规律进行了研究,探讨了基于个体生长的经验模型参数的特征.结果表明:去除顶端优势并经过1 a多恢复生长的酒竹,其各枝盘的枝叶数量分别与枝盘 号存在着乘幂关系;钩梢后的酒竹植株自身具备补偿作用,这种补偿作用对酒竹适应我国半干旱区生境十分关键,钩梢后剩余留枝盘数与累积枝叶数量占完整植株枝叶数量比例的关系可用二次函数表达;枝叶数量的密度分布函数可直接运用Weibull和Gamma概率密度函数进行拟合,拟合效果较好.可以利用胸径参数进行酒竹地上部分各构件生物量的预测,但1年生竹秆和2年生竹枝没有达到相关.酒竹出笋量动态和高生长曲线呈“S”形,根据Logistic动态方程的一阶、二阶导数将出笋时间划分为初期、盛期和末期,进而得到笋—幼竹的高生长方程的3个阶段渐增期、快增期、缓增期;酒竹出笋期约为150 d左右,基本与移植当地的雨季重叠,笋期的第48~51天完成初期,盛期出现在第69~72天,此时出笋速度达到最高峰,末期则出现在第90~93天.在不同的出笋期,酒竹高生长表现出对雨量的可塑性响应:出笋初期以前,酒竹笋发育比较迟缓,特别是渐增期需要25~26 d,而缓增期只需12 d就可完成;盛期酒竹笋的高生长几乎没有渐增期的准备,直接进入直线的快速生长期,且缓增期历时也短,仅为9~10 d;末期酒竹笋表现则与初期的酒竹笋截然相反,其缓增期的明显延长说明受到环境的胁迫.%The authors studied the shoot growth rhythm of wine bamboo, Oxytenanthera braunii, which is of great e-conomic importance in Tanzania and has been introduced to China recently. And also, individual-based model was used to delineate and capture the essence of the shoot growth system well enough addressing specific characteristics of parameters about the system. The results showed that the power function could be used to set up the relationship between leaf number and node number, which was the same as branch number after truncating. Compensation effect of mother individuals after transplanting was important for wine bamboo adapting to the semi-arid area in southwest China. The quadratic function could be used to express the relationship between the number of residual nodes with branch and the percentage of branch number contributing to the total number of the individual without truncating which was also shown by the percentage of leaf number. The probability distribution function such as Weibull and Gamma were used to simulate the distribution of branch and leaf number on each culm node after truncating and transplanting with stump. Results indicated that distribution curve was successfully simulated, and Weibull and Gamma functions gave the best answer compared with normal distribution. Repression models based on DBH ( diam-eter at breast height) showed that the fitted curve of power functions was more significant than others except the groups of one-year-old culm and two-years-old branch. The height growth and dynamic germination process of shoots fitted to the sigmoid curve, which could be well described by Logistic equation. And both the processes of different levels were divided into three sub-periods like beginning, flourish and end periods according to the first and second order derivatives of Logistic equation. The shoot's germination period lasted about 150 days, which was about from May to October and coincident with the local rain season essentially. The beginning sub-period finished at the 48 -51 days, and flourishing sub-period arrived at the 69 - 72 days, then the germination speed was down and the end sub-period showed at the 90 - 93 days similarly, following the rules of slow-quick-slow, shoot individuals displayed Logistic growth and showed a significant plastic growth rhythm responding to the local rain season. Height growth of shoot lasted longer at beginning sub-period and spent more time before entering fast growth stage. Meanwhile, the slow growth stage lasted only 12 days. And the shoots in the end sub-period displayed the contrary behavior, which was threatened by the decreasing rainfall and low humidity. There were only two stages for shoots in the flourishing sub-period which was no initial stage and shoots entered the fast growth stage directly. The whole growth period was the shortest. So humidity was the main ecological factor influencing the growth of bamboo shoots. Understanding the advantage of plasticity response and its limits is of critical importance for numerous issues in ecology and evolution for 0. Braunii.

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