Effects of grazing intensity and grazing exclusion on litter decomposition in the temperate steppe of Nei Mongol,China

Aims Grazing intensity and grazing exclusion affect ecosystem carbon cycling by changing the plant community and soil micro-environment in grassland ecosystems. The aims of this study were: 1) to determine the effects of grazing intensity and grazing exclusion on litter decomposition in the temperate grasslands of Nei Mongol; 2) to compare the difference between above-ground and below-ground litter decomposition; 3) to identify the effects of precipitation on litter production and decomposition. Methods We measured litter production, quality, decomposition rates and soil nutrient contents during the growing season in 2011 and 2012 in four plots, i.e. light grazing, heavy grazing, light grazing exclusion and heavy grazing exclusion. Quadrate surveys and litter bags were used to measure litter production and decomposition rates. All data were analyzed with ANOVA and Pearson’s correlation procedures in SPSS. Important findings Litter production and decomposition rates differed greatly among four plots. During the two years of our study, above-ground litter production and decomposition in heavy-grazing plots were faster than those in light-grazing plots. In the dry year, below-ground litter production and decomposition in light-grazing plots were faster than those in heavy-grazing plots, which is opposite to the findings in the wet year. Short-term grazing exclusion could promote litter production, and the exclusion of light-grazing could increase litter decomposition and nutrient cycling. In contrast, heavy-grazing exclusion decreased litter decomposition. Thus, grazing exclusion is beneficial to the restoration of the light-grazing grasslands, and more human management measures are needed during the restoration of heavy-grazing grasslands. Precipitation increased litter production and decomposition, and below-ground litter was more vulnerable to the inter-annual change of precipitation than above-ground litter. Compared to the light-grazing grasslands, heavy-grazing grasslands had higher sensitivity to precipitation. The above-ground litter decomposition was strongly positively correlated with the litter N content (R² = 0.489, p < 0.01) and strongly negatively correlated with the soil total N content (R² = 0.450, p < 0.01), but it was not significantly correlated with C:N and lignin:N. Below-ground litter decomposition was negatively correlated with the litter C (R² = 0.263, p < 0.01), C:N (R² = 0.349, p < 0.01) and cellulose content (R² = 0.460, p < 0.01). Our results will provide a theoretical basis for ecosystem restoration and the research of carbon cycling.     

寄生云杉树蜂的枝跗瘿蜂一新种(膜翅目:瘿蜂总科:枝跗瘿蜂科)

枝跗瘿蜂科(Ibahidae)是个小科,所有种类均寄生蛀干害虫树蜂科(Siricidae)的幼虫。我国大陆的本科种类由杨忠岐1991年首次作了报道。现记述采自祁连山林区的另1新种。该种寄生于为害青海云杉(Picea crassifolia Kom.)的黄肩长尾树蜂(Xeris spec-trum spectrum)等树蜂的幼虫。新种的模式标本保存于西北林学院天敌昆虫研究室。至此,我国大陆共有本科种类3种,加上台湾的1个种,我国共有4种:     

兴安落叶松结实规律与长短枝习性的关系

1987年5月,大兴安岭林区发生的特大森林火灾,实属世界罕见,火灾面积达1.0×10~6ha 多。大量的火烧迹地亟待更新、无论是人工更新还是人工促进天然更新,其中关键的问题之一是种子的来源,在大兴安岭地区,兴     

中国羽枝藻属新资料

1.山西羽枝藻 新种 图1:1—4 Cloniophora shanxiensis Y. J. Ling et S. L. Xie, sp. nov. Species affnis C. spicatae (Schmid.) Islam, sed primariis ramulis irregularibus alternatisvel oppositis, pyrenoidibus solitariis, ramuli cellulis apprime irregularibus differt. Thallo caespitoso, usque ad 5 cm longo; rhizoideis e filamenti cellulis basalibus angustis     

枝鞘藻属(Oedocladium Stahl,1891)在我国的首次发现

首次报道了作为鞘藻目中三个属之一的枝鞘藻属(Oedocladium),即勃氏枝鞘藻(Oedocladium prescottii)。     

短期氮沉降改变毛竹林凋落物和土壤有机质化学组成

为了探究短期氮沉降对凋落物和土壤有机质化学组成的影响,以亚热带毛竹林为对象,于2020年7月—2022年1月设置氮沉降增加(施氮量50 kg N·hm^-2·a^-1)处理,利用热裂解气相色谱质谱联用(Py-GC/MS)技术,对毛竹林毛竹叶/根凋落物和土壤的有机质化学组分进行了分析。结果表明：与对照相比,短期氮沉降处理土壤有机质中酚类的相对含量显著增加了50.9%,而脂肪酸的相对含量显著减少了26.3%;叶凋落物中烷烯烃和木质素的相对含量显著增加了51.9%和33.5%,酚类和多糖的相对含量显著减少了52.2%和56.3%;根凋落物中多杂环芳香烃的相对含量显著减少了16.6%。土壤有机质中脂肪酸的相对含量与叶凋落物中多糖的相对含量呈显著正相关;土壤有机质中酚类的相对含量与叶凋落物中木质素的相对含量呈显著正相关,与多糖的相对含量呈显著负相关。短期氮沉降对毛竹林毛竹叶/根凋落物和土壤的总有机碳、总氮和碳氮比均无显著影响,但是会显著改变三者的有机质化学组成;另外,短期氮沉降下土壤有机质化学组成的变化受叶凋落物有机质化学组成的影响。     

基于混合效应模型和分位数回归的长白落叶松枝下高模型构建

枝下高是反映树冠特征的重要指标,准确预测枝下高对森林的经营管理和提高林分生产具有重要意义。本研究采用非线性回归构建枝下高广义基础模型,再进一步扩展到混合效应模型和分位数回归模型,通过“留一法”检验对模型的预测能力进行评价和比较。此外,使用4种抽样设计和不同抽样大小对枝下高模型进行校正,选择最佳的模型校正方案。结果表明：基于包含树高、胸径、林分每公顷断面积和优势木平均高的枝下高广义模型、扩展后的混合效应模型以及三分位数组合模型的预测精度均显著提高,混合效应模型略优于三分位数组合模型,最佳抽样校正方案为抽5株平均木。因此,推荐在实践应用中使用混合效应模型,抽5株样地平均木校正预测枝下高。