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亚高山人工林中土壤碳、氮、磷生态化学计量随树种的变化

Soil carbon, nitrogen and phosphorus ecological stoichiometry shifts with tree species in subalpine plantations.

作者信息

Qi Kaibin, Pang Xueyong, Yang Bing, Bao Weikai

机构信息

CAS Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization & Ecological Restoration Biodiversity Conservation Key Laboratory of Sichuan Province, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu, China.

University of Chinese Academy of Sciences, Beijing, China.

出版信息

PeerJ. 2020 Oct 12;8:e9702. doi: 10.7717/peerj.9702. eCollection 2020.

Abstract

Understanding ecological stoichiometric characteristics of soil nutrient elements, such as carbon (C), nitrogen (N) and phosphorus (P) is crucial to guide ecological restoration of plantations in ecologically vulnerable areas, such as alpine and subalpine regions. However, there has been only a few related studies, and thus whether and how different tree species would affect soil C:N:P ecological stoichiometry remains unclear. We compared soil C:N:P ecological stoichiometry of , and to primary shrubland in a subalpine region. We observed strong tree-specific and depth-dependent effects on soil C:N:P stoichiometry in subalpine plantations. In general, the C:N, C:P and N:P of topsoil (0-10 cm) are higher than subsoil (>10 cm) layer at 0-30 cm depth profiles. The differences in C:N, N:P and C:P at the topsoil across target tree species were significantly linked to standing litter stock, tree biomass/total aboveground biomass and Margalef's index of plant community, respectively, whereas the observed variations of C:N, N:P and C:P ratio among soil profiles are closely related to differences in soil bulk density, soil moisture, the quantity and quality of aboveground litter inputs as well as underground fine root across plantations examined. Our results highlight that soil nutrients in plantation depend on litter quantity and quality of selected tree species as well as soil physical attributes. Therefore, matching site with trees is crucial to enhance ecological functioning in degraded regions resulting from human activity.

摘要

了解土壤养分元素(如碳(C)、氮(N)和磷(P))的生态化学计量特征对于指导生态脆弱地区(如高山和亚高山地区)人工林的生态恢复至关重要。然而,相关研究较少,因此不同树种是否以及如何影响土壤C:N:P生态化学计量仍不清楚。我们比较了亚高山地区人工林、和的土壤C:N:P生态化学计量与原生灌丛的差异。我们观察到亚高山人工林中存在强烈的树种特异性和深度依赖性对土壤C:N:P化学计量的影响。总体而言,在0 - 30厘米深度剖面中,表层土壤(0 - 10厘米)的C:N、C:P和N:P高于下层土壤(>10厘米)。目标树种表层土壤中C:N、N:P和C:P的差异分别与现存凋落物量、树木生物量/地上总生物量以及植物群落的Margalef指数显著相关,而在不同土壤剖面中观察到的C:N、N:P和C:P比值变化与所研究人工林的土壤容重、土壤湿度、地上凋落物输入的数量和质量以及地下细根的差异密切相关。我们的结果强调,人工林中的土壤养分取决于所选树种的凋落物数量和质量以及土壤物理属性。因此,适地适树对于增强因人类活动导致的退化地区的生态功能至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2348/7560321/20264c76dae8/peerj-08-9702-g001.jpg

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