Effects of precipitation changes on the stoichiometry and photosynthetic characteristics of Stipa bungeana Trin. at different growth stages in the Loess Plateau, China

IF 1.1 4区 农林科学 Q3 AGRICULTURE, MULTIDISCIPLINARY Grassland Science Pub Date : 2022-02-21 DOI:10.1111/grs.12360
Xu Luo, Yutao Wang, Yi Zhang, Juan Zhang, Hongbin Ma, Jianping Li
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Abstract

The aim of this study was to explore the response of the stoichiometric and photosynthetic characteristics of a dominant plant species in a typical grassland to changes in precipitation. Rain shelter technology was used to simulate 50%, 100%, and 150% of natural rainfall. The photosynthetic rate (Pn), intercellular CO2 concentration (Ci), transpiration rate (Tr), stomatal conductance (Gs), and ecological stoichiometry of the rhizosphere soil and Stipa bungeana at different growth stages were measured in May, July), and September, 2019 after 2 years of rainfall control. The results showed that the aboveground carbon (C) content of plants grown under 150% precipitation was significantly higher than that of plants grown under 100% precipitation in September. The aboveground nitrogen (N) content of plants under 50% precipitation was significantly higher than the plants grown under 100% precipitation. Under all different precipitation treatments, the aboveground C:N ratio was the lowest (16.4–19.6) in May. The range of average aboveground C: phosphorous (P) ratio was 373.7–617.8, and the N:P ratio in the descending order was July > May > September. The 50% precipitation treatment promoted the highest accumulation of underground C at all the growth stages. The productivity of the grassland under the 100% and 150% precipitation treatments was limited by the rhizosphere soil N and P. The underground C, P, C:P, and aboveground C:N ratios were sensitive indicators. Aboveground and underground N:P ratio showed the strongest significant correlation (P < 0.001), and the correlation between underground stoichiometry and rhizosphere soil P (P < 0.001) was stronger than that with rhizosphere soil N (P < 0.05). The correlation between Ci and stoichiometry was opposite in direction to the correlation between Pn, Tr, Gs, and stoichiometry. The research results will provide a scientific reference for understanding of the material cycle and judgment of vegetation nutrient limitations in the Loess Plateau.

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降水变化对白针茅化学计量学和光合特性的影响。黄土高原不同生长阶段的植物
本研究旨在探讨典型草地优势植物的化学计量学和光合特性对降水变化的响应。使用避雨技术模拟50%、100%和150%的自然降雨。在降雨控制2年后,分别于2019年5月、7月和9月测定了根际土壤和白针茅不同生育期的光合速率(Pn)、胞间CO2浓度(Ci)、蒸腾速率(Tr)、气孔导度(Gs)和生态化学计量学。结果表明:9月份,150%降水条件下生长的植株地上碳(C)含量显著高于100%降水条件下生长的植株;50%降水条件下植株地上部氮含量显著高于100%降水条件下植株。在不同降水处理下,5月份地上碳氮比最低(16.4 ~ 19.6)。平均地上碳磷比为373.7 ~ 617.8,氮磷比由大到小依次为7月> 5月> 9月。50%降水处理对各生育期地下碳积累的促进作用最大。100%和150%降水处理下草地生产力受根际土壤氮、磷的限制,地下C、P、C:P和地上C:N是敏感指标。地上氮磷比与地下氮磷比表现出最强的显著相关性(P < 0.001),地下化学计量与根际土壤磷的相关性(P < 0.001)强于与根际土壤氮的相关性(P < 0.05)。Ci与化学计量的相关性与Pn、Tr、Gs与化学计量的相关性方向相反。研究结果将为认识黄土高原植被物质循环、判断植被养分极限提供科学参考。
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来源期刊
Grassland Science
Grassland Science Agricultural and Biological Sciences-Agronomy and Crop Science
CiteScore
2.70
自引率
7.70%
发文量
38
审稿时长
>12 weeks
期刊介绍: Grassland Science is the official English language journal of the Japanese Society of Grassland Science. It publishes original research papers, review articles and short reports in all aspects of grassland science, with an aim of presenting and sharing knowledge, ideas and philosophies on better management and use of grasslands, forage crops and turf plants for both agricultural and non-agricultural purposes across the world. Contributions from anyone, non-members as well as members, are welcome in any of the following fields: grassland environment, landscape, ecology and systems analysis; pasture and lawn establishment, management and cultivation; grassland utilization, animal management, behavior, nutrition and production; forage conservation, processing, storage, utilization and nutritive value; physiology, morphology, pathology and entomology of plants; breeding and genetics; physicochemical property of soil, soil animals and microorganisms and plant nutrition; economics in grassland systems.
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