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首页> 外文期刊>Geoderma: An International Journal of Soil Science >Vegetation type rather than climate modulates the variation in soil enzyme activities and stoichiometry in subalpine forests in the eastern Tibetan Plateau
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Vegetation type rather than climate modulates the variation in soil enzyme activities and stoichiometry in subalpine forests in the eastern Tibetan Plateau

机译:植被类型而不是气候调节藏高原东部紫红石森林中土壤酶活性和化学计量的变异

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Soil extracellular enzymes catalyze the rate limiting steps of organic matter decomposition, and enzyme stoichiometry has been used to reflect microbial resource acquisition strategies. However, the patterns and key driving factors of soil enzyme activities and stoichiometry in subalpine forests, which are areas sensitive to global changes, remain unclear. In this study, rhizosphere and bulk soils along two environmental gradients in the subalpine forests of Gongga Mountain, in the eastern Tibetan Plateau, including (1) a horizontal chrono-sequence with different vegetation types but a similar climate and (2) a vertical elevation gradient with the same vegetation type but different climates, were sampled during the growing and nongrowing seasons. The activities and stoichiometry of soil enzymes related to the microbial acquisition of carbon (C) (beta-1,4-glucosidase, BG), nitrogen (N) (beta-1,4-N-acetylglucosaminidase, NAG) and phosphorus (P) (acid phosphomonoesterase, AP) were analyzed to reveal their responses to environmental gradients. The results showed that enzyme activities and stoichiometry varied significantly among vegetation types, but were less affected by climate and root proximity. BG activity and ratios of BG to nutrient-acquiring enzymes were significantly higher in broadleaf forests than in coniferous forests. The differences in enzyme stoichiometry between vegetation types were weakly related to the microbial nutrient status (represented by the ratio of soil to microbial element stoichiometry) but might be explained by the higher proportion of ectomycorrhizal fungi in coniferous forests compared to broadleaf forests. The results of this study indicate that vegetation type was a major factor regulating soil enzyme activities and stoichiometry in the subalpine forests, possibly via its influences on plant-associated microbial communities.
机译:土壤细胞外酶催化有机物质分解的速率限制步骤,并且已经采用酶化学计量来反映微生物资源采集策略。然而,亚高尔平森林中土壤酶活性和化学计量的模式和关键驱动因子,是对全球变化敏感的地区仍然不清楚。在这项研究中,在藏高原东部山山亚马尔森林中沿两种环境梯度的根际和散装土壤,包括(1)水平计时序列,具有不同的植被类型,但具有类似的气候和(2)垂直高度在不断增长和非流动的季节期间对具有相同植被类型但不同气候的梯度。与碳(C)(β-1,4-葡糖苷酶,BG),氮(N)(β-1,4-乙酰氨基葡糖胺酶,NAG)和磷(P)的微生物孵化相关的土壤酶分析了(酸磷酸氨酯酶,AP)以显示对环境梯度的反应。结果表明,植被类型中的酶活性和化学计量显着变化,但受气候和根部接近的影响较小。 BGG的BG活性和比率在阔叶林中的营养物质获取酶明显高于针叶林。植被类型之间的酶化学计量的差异与微生物营养状况(由土壤与微生物元素化学计量的比例表示)弱相关,但是由于与阔叶林相比,通过针叶林中的外胚毒性真菌比例较高。该研究的结果表明,植被型是调节亚水平森林中的土壤酶活性和化学计量的主要因素,可能通过其对植物相关的微生物群落的影响。

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