松毛虫遗传多样性研究中AFLP反应体系的建立

以油松毛虫为材料,对T4 DNA连接酶不同用量、预扩增中的Mg~(2+)浓度、dNTP浓度、引物浓度以及选择性扩增巾的预扩增产物稀释倍数、Mg2~(2+) 浓度、dNTP浓度、引物浓度和Taq酶浓度进行了比较分析.最终建立了适合松毛虫的AFLP反应体系.用优化的AFLP反应体系,以油松毛虫、赤松毛虫和马尾松毛虫为材料筛选引物,从81对引物组合中筛选出10对多态性高的引物组合.图9参17     

模拟氮沉降对木荷人工幼林地土壤氮素、碳素和微生物量垂直分布的影响

以NH4NO3作为氮源,对广州东北郊木荷（Schima superba）人工幼林地进行模拟氮沉降处理,共设置3个氮沉降水平,分别为N0（N：0 g·m-2·a-1）、N5（N：5 g·m-2·a-1）以及N10（N：10 g·m-2·a-1）,每月进行喷施。在连续施氮22个月（当月当次施氮5天后）对土壤氮素（硝氮、氨氮、总氮）、碳素（总碳）以及微生物量（脂磷）在0~60 cm土层中的垂直分布进行研究。结果显示：在3个氮沉降水平下,随着土层加深,pH呈现出下降的趋势,氮沉降存在加剧土壤酸化的风险;在N0、N5、N10水平下,土壤全氮和总碳的垂直分布趋势大体一致,随着土层加深,其含量下降,但在深层土壤（40~60 cm）中,施氮与对照比较,总碳呈现一定的增加趋势;除40~50 cm土层,N5、N10水平下的硝态氮含量在各个深度土壤中都表现为比对照组要高,氮沉降导致土壤一定程度上硝态氮的积累;在浅层土壤（0~20 cm）中,铵态氮水平较低并且其含量明显低于对照组,而在较深的土层中铵态氮有较多的积累,说明存在污染地下水的风险;N5和N10水平下,无机氮比例（无机氮含量与总氮含量之比）在各个深度土壤中总体高于N0水平;用脂磷含量表征土壤微生物含量,结果表明外加氮源对微生物含量有显著性影响,在N5、N10水平下,微生物含量在30~40 cm土层中出现峰值。     

安徽茶园土壤氟在茶树体内的富集与转运特征

研究了安徽宣城、六安和合肥茶区不同茶园土壤氟含量及在茶树体内的富集与转运特征,探讨了茶树根际和非根际土壤氟的有效性特征及其在茶树体内的累积规律.结果表明,安徽省典型茶园表层土壤全氟含量为:六安黄棕壤(319.7 mg·kg-1)>宣城黄红壤(316.6 mg·kg-1)>合肥黄褐土(311.3 mg·kg-1),均低于我国土壤总氟背景值(478 mg·kg-1),并呈现一定的表层富集现象.表层土壤的水溶性氟含量则为:合肥黄褐土(5.32 mg·kg-1)>宣城黄红壤(3.32 mg·kg-1)>六安黄棕壤(2.65 mg·kg-1),根际土壤中水溶性氟含量也高于非根际土壤.不同茶园茶树体内氟含量有较大差异,但均呈现成叶>落叶>嫩叶>根、茎的规律.茶树嫩叶氟含量在108.2-184.3 mg·kg-1之间,低于农业部茶叶氟含量安全限量标准(≤200 mg·kg-1);而成叶中氟含量较高(531.0-1155.2 mg·kg-1).茶树对土壤氟具有较强的富集和运输能力,茶园表层土壤全氟和水溶性氟在茶树成熟叶片的富集系数分别在1.71-3.65和99.8-348之间,氟由根部向叶片的转移系数在9.7-25.5之间.研究结果可为土壤氟在茶树体内的富集及其对茶叶质量安全的影响评价提供依据.     

茂名小良桉树人工林生态经济效益分析与评价

利用模糊数学的方法,通过对小良的实地调杳和专家走访,挑选了30个对小良桉林生态经济影响较大的因子.建立了评价因子指标体系和五个评价等级,采用二个层次的综合评价模型对小良桉林生态经济效益首次进行了定量的综合评价.评价结果是:现在小良桉林生态经济效益为一般.总体态势是:16%为好,26%为较好,31%为一般.23%为较差,4%为差.综合评价得分为79.85分,介于一般和良好之间,这说明在小良桉树人工林的发展过程中存在许多显性的、潜在的问题,如果还不注意合理利用林地资源,就会使森林资源变为不可更新资源,不可持续利用.因此,科学客观地分析与评价小良桉林产业生态经济效益,为区域可持续发展提供科学依据和发展良策,实现生态和经济的综合调控具有现实意义.     

Trait space of rare plants in a fire‐dependent ecosystem

The causes of species rarity are of critical concern because of the high extinction risk associated with rarity. Studies examining individual rare species have limited generality, whereas trait‐based approaches offer a means to identify functional causes of rarity that can be applied to communities with disparate species pools. Differences in functional traits between rare and common species may be indicative of the functional causes of species rarity and may therefore be useful in crafting species conservation strategies. However, there is a conspicuous lack of studies comparing the functional traits of rare species and co‐occurring common species. We measured 18 important functional traits for 19 rare and 134 common understory plant species from North Carolina's Sandhills region and compared their trait distributions to determine whether there are significant functional differences that may explain species rarity. Flowering, fire, and tissue‐chemistry traits differed significantly between rare and common, co‐occurring species. Differences in specific traits suggest that fire suppression has driven rarity in this system and that changes to the timing and severity of prescribed fire may improve conservation success. Our method provides a useful tool to prioritize conservation efforts in other systems based on the likelihood that rare species are functionally capable of persisting.     

Effects of stand density on understory species diversity and soil anti-scourability of Cupressus funebris plantation in Yunding Mountain,Sichuan, China北大核心CSCD

To protect the ecosystem of barren mountains, massive Cupressus funebris plantations were allowed in hilly areas of the central Sichuan Basin in the late 1980s. In recent years, Cupressus funebris plantations have faced problems such as biodiversity decline and soil erosion. To study the effects of different forest densities on understory species diversity and soil anti-scourability of Cupressus funebris plantations in Yunding Mountain, a typical sampling method was used to investigate the five different forest densities (1 100, 950, 800, 650, and 500 trees/hm2) and to analyze the correlation between the species diversity index, soil anti-scourability, and root index. In total, 176 species from 128 genera and 69 families were recorded in this area. The number of species in the herb layer was higher than that in the shrub layer. The species diversity index of the shrub layer first increased and then decreased with the decrease in stand density; and the species richness index D and Shannon–Wiener diversity index H showed peak values at a density of 650 trees/hm2. The species richness index D, Shannon–Wiener diversity index H, and Simpson dominance index H’ in the herb layer showed a bimodal trend of increasing, then decreasing, increasing again, and finally decreasing with the decrease in stand density; and the peak values were found at the densities of 650 and 950 trees/hm2. When soil anti-scourability decreased with stand density, it showed a trend of increasing and then decreasing, reaching a peak at a density of 650 trees/hm2. The positive correlation between the species richness index and soil anti-scourability was evident. Thus, 650 trees/hm2 is relatively more conducive to the stability of species diversity and soil anti-scourability in cypress plantations. © 2022 Authors. All rights reserved.     

Combining a generic process-based productivity model and a statistical classification method to predict the presence and absence of tree species in the Pacific Northwest,U.S.A.

Although long-lived tree species experience considerable environmental variation over their life spans, their geographical distributions reflect sensitivity mainly to mean monthly climatic conditions. We introduce an approach that incorporates a physiologically based growth model to illustrate how a half-dozen tree species differ in their responses to monthly variation in four climatic-related variables: water availability, deviations from an optimum temperature, atmospheric humidity deficits, and the frequency of frost. Rather than use climatic data directly to correlate with a species’ distribution, we assess the relative constraints of each of the four variables as they affect predicted monthly photosynthesis for Douglas-fir, the most widely distributed species in the region. We apply an automated regression-tree analysis to create a suite of rules, which differentially rank the relative importance of the four climatic modifiers for each species, and provide a basis for predicting a species’ presence or absence on 3737 uniformly distributed U.S. Forest Services’ Forest Inventory and Analysis (FIA) field survey plots. Results of this generalized rule-based approach were encouraging, with weighted accuracy, which combines the correct prediction of both presence and absence on FIA survey plots, averaging 87%. A wider sampling of climatic conditions throughout the full range of a species’ distribution should improve the basis for creating rules and the possibility of predicting future shifts in the geographic distribution of species.     

井冈山森林碳储量与LAI和材积的相关性

建立林木生物量模型是估算森林生物量的重要方法之一,叶面积指数（Leaf Area Index,简称LAI）和材积与林木密切相关,是否可通过建立森林生物量与LAI或材积的相关模型来估算森林生物量,进而估算森林碳储量,值得探索。以井冈山自然保护区两种典型森林类型（常绿阔叶林和人工杉木林）为研究对象,分乔木层、植被层和总体（植被层＋土壤层）3部分分别计算碳密度,并对它们与叶面积指数LAI和材积之间的相关性进行分析。结果表明：常绿阔叶林总体碳密度为38．915kg／m^2,高于人工杉木林的27．460kg／m^2;两种森林类型乔木层和植被层碳密度与材积具有很好的相关性（R^2〉0．97）,在与LAI的相关性分析中,人工杉木林乔木层和植被层碳密度与LAI相关系数达到0．7以上,相关关系显著,而常绿阔叶林各层碳密度与LAI的相关性不明显;在森林总体碳密度与LAI和材积的相关性分析中发现,只有常绿阔叶林总体碳密度与材积的R^2为0．7116,达到显著水平,其它相关性水平均不显著。因此,利用材积与生物量和碳储量的相关关系来推算井冈山森林生物量和碳储量的方法是可行的,通过叶面积指数来推算森林生物量和碳储量的方法还有待进一步研究探讨。