A review of stand basal area growth models

Growth and yield modeling has a long history in forestry. The methods of measuring the growth of stand basal area have evolved from those developed in the U.S.A. and Germany during the last century. Stand basal area modeling has progressed rapidly since the first widely used model was published by the U.S. Forest Service. Over the years, a variety of models have been developed for predicting the growth and yield of uneven/even-aged stands using stand-level approaches. The modeling methodology has not only moved from an empirical approach to a more ecological process-based approach but also accommodated a variety of techniques such as: 1) simultaneous equation methods, 2) difference models, 3) artificial neural network techniques, 4) linear/nonlinear regres-sion models, and 5) matrix models. Empirical models using statistical methods were developed to reproduce accurately and precisely field observations. In contrast, process models have a shorter history, developed originally as research and education tools with the aim of increasing the understanding of cause and effect relationships. Empirical and process models can be married into hybrid mod-els in which the shortcomings of both component approaches can, to some extent, be overcome. Algebraic difference forms of stand basal area models which consist of stand age, stand density and site quality can fully describe stand growth dynamics. This paper reviews the current literature regarding stand basal area models, discusses the basic types of models and their merits and outlines recent progress in modeling growth and dynamics of stand basal area. Future trends involving algebraic difference forms, good fitting variables and model types into stand basal area modeling strategies are discussed.     

黑龙江林业的发展应该关注森林碳汇问题

森林生态系统在全球碳循环与平衡中具有极为重要的和不可替代的地位和作用,随着《京都议定书》正式生效,森林碳汇问题已经越来越受到世界各国的重视。黑龙江省森林资源丰富,是我国最主要的林区,巨大的“碳汇”既具有重要的生态功能,也蕴藏着潜在的巨大经济利益,因此,研究我省应对《京都议定书》生效、开展森林碳汇项目的对策研究是极为必要的。     

信息化促进西南森林航空消防事业发展

简要介绍了西南航空护林总站信息化建设的历史和现状,以及不同时期信息化建设在西南森林航空消防工作中所发挥的作用,结合当前森林防火工作形势,阐述了下一步信息化建设的原则和目标。     

杉木人工林林分直径结构预测影响因子的研究

林分直径结构预测能为科学地进行人工林的定向培育提供可靠的理论依据。本文从生长方程等 4方面探讨了产生杉木人工林林分直径结构预测效果好坏的原因 ,并对两种参数估计方法作了实证比较研究 ,对影响预测适合度高低的原因从林分因子的角度进行了进一步的探索 ,得到如下实验结果 :不同的回收模型、建模材料、检验材料、生长方程对检验适合度的影响程度分别为具有极显著影响、显著影响、呈显著影响或极显著影响、无显著影响 ,当回收模型采用最简幂函数时 ,适合度均在 5 0 %以上 ,Richards生长方程预测效果较好 ,其 6种情形下的适合度仅有 1种低于 6 0 % ;参数预测法和参数回收法用于预测时检验适合度均较高 ,此 2种方法各有优劣 ,均具有很好的应用前景 ;林分初植密度不同于年龄、立地指数、间伐等因子 ,不同密度范围下的预测适合度大小总体上存在一定的规律 ,且对适合度具有显著影响 ,按密度因子作分类预测时 ,应考虑密度的这种突出效应。     

壳聚糖金属配合物的防腐性能

壳聚糖金属聚合物 [如壳聚糖铜聚合物 (CCC)和壳聚糖锌配合物 (CZC) ]是壳聚糖和金属盐类反应生成的一种新型有机高分子聚合物。用CCC和CZC与铜铬砷 (CCA)分别处理马尾松和毛白杨边材 ,进行木材防腐试验 ,结果表明 :CCC和CZC对褐腐菌棉腐卧孔菌的防腐性能与CCA相比 ,CZC达到最耐腐等级 ,防腐效果接近CCA ,其锌离子临界保持量为 0 780kg·m- 3(腐朽后质量损失 1 18% ) ,但CCC防褐腐效果明显不如CZC ;CCC对白腐菌彩绒革盖菌的防腐性能达到最耐腐等级 ,防腐效果接近CCA ,其铜离子临界保持量为 0 82 4kg·m- 3(腐朽后质量损失2 4 5 % ) ;CZC和氯化锌对白腐菌的防腐效果不明显。     

人工林毛白杨木材解剖构造与染色效果相关性的研究

为探讨木材构造和木材染色效果之间的相关性变化规律，本研究测字５株３４块人工林毛白杨 的解剖构造及其木材染色效果，对二者的相关性进行了多元回归分析。结果表明，毛白杨木材染色效果与解剖因子之间有一定的相关关系，各染色效果指标与木材解剖因子间的复相关系数在０．４８３６－０．７９９８之间，采用比较多元回归分析标准回归系数的方法，确定了影响毛白杨木材染色效果的主要解剖因子为导管比量、木纤维比量和木射线量等因子。     

华南五针松种子休眠生理的研究

对华南五针松种子的休眠生理特性进行研究表明,种内生活细胞的酶活性低,是导致其休眠的主要原因;外种皮存在抑制物质、种皮的透水、透气性差,对种子的萌发也有一定的影响。低温层积处理60天,能有效地解除种子的休眠。其最适萌发条件是光照下30℃(日)/20℃(夜)变温,其次为光照下25℃恒温。     

广州南香山水库森林水文季节变化研究

为了提高森林水文研究过程中数据采集的精确性,应用现代测绘技术,包括水准测量、全站仪三维坐标测量、GNSS 卫星测量及测深仪的水深测量等,研究了广州南香山水库的库容变化规律,反演水库上游森林径流。研究结果表明：南香山一年内的降雨量分布出现类似双波浪形的变化,波峰出现在5月份和8月份,波谷出现在1月和10月;降雨量与库容增量存在线性关系,相关系数为0.9152;地表径流的大小主要与植被类型,土壤水分的饱和度及地形有密切关系。相比传统的测量方法,现代测绘技术更精确地反映了广州南香山地区森林水文的变化规律。     

室温粉碎搅拌法从印楝种仁中萃取印楝素的研究

用快速粉碎搅拌的方法从印楝种仁中萃取印楝素,分别研究了萃取时间、溶剂的选择及用量对印楝素萃取产率的影响。优化的工艺条件为:208g去油后的印楝种仁(相当于300g印楝种仁),以750ml甲醇做溶剂,在快速粉碎搅拌下萃取21min即可以达到最高萃取产率,与微波辅助法、超声波法、浸提法相比,具有提取率高、设备和操作简单、节约溶剂、快速等特点。     

Effects of melatonin implantation on cashmere yield,fibre characteristics,duration of cashmere growth as well as growth and reproductive performance of Inner Mongolian cashmere goats

Background

Exogenous melatonin could induce cashmere growth. However, induced growth of cashmere fleece by melatonin implants cannot be combined with the typical growth, resulting in earlier shedding followed by another cycle of cashmere growth. To address this issue, we examine the effects on the cashmere yield, fibre characteristics, and the growth and reproductive performance of cashmere goats of planned administration of melatonin.

Methods

Eighteen half-sib, female goats were assigned to two treatments (n = 9) including a control and a treatment where melatonin (2 mg/kg BW) was implanted at the end of April and end of June. Cashmere growth and shedding were observed for approximately 1 year following implantation. Fibre samples were collected monthly to determine cumulative cashmere length. Initiation and cessation dates for cashmere growth as well as the rate of cashmere growth were calculated. Cashmere yield, weight gain of dam, kidding date, litter size, and birth weight were also recorded.

Results

Melatonin implantation increased cashmere yield by 34.5 % (control 553.7 g vs. melatonin 745.0 g; P < 0.01), cashmere length by 21.3 % (control 95.2 mm vs. melatonin 115.4 mm; P < 0.01), and decreased fibre diameter by 4.4 % (control 14.6 μm vs. melatonin 14.0 μm; P < 0.03). In melatonin-treated goats, the average initiation date was earlier than in control goats (May 18, 2013 vs. July 2, 2013; P < 0.01) but there was a similar cessation date (March 22, 2014 vs. March 27, 2014). Consequently, the duration of cashmere growth was longer in melatonin-treated goats than in control goats (307 vs.270 days; P < 0.01). The final BW, average daily gain, kidding date, litter size, and birth weight were not influenced by melatonin implantation.

Conclusions

These data indicate that melatonin implantation (2 mg/kg BW) on two occasions (late April and June) increased cashmere yield by combining the induced growth of cashmere fleece with the typical growth and decreased the fibre diameter without changing dam growth rate or reproductive performance.