Suppr超能文献

高寒草甸根尖密度函数构建及根系吸水特征

Construction of root tip density function and root water uptake characteristics in alpine meadows.

作者信息

Deng Bin, Weng Baisha, Yan Denghua, Xiao Shangbin, Fang Haotian, Li Meng, Wang Hao

机构信息

State Key Laboratory of Simulation and Regulation of Water Cycle in River Basin, China Institute of Water Resources and Hydropower Research, Beijing, China.

Engineering Research Center of Eco-Environment in TGR Region, Ministry of Education, College of Hydraulic and Environmental Engineering, China Three Gorges University, Yichang, China.

出版信息

Front Plant Sci. 2022 Oct 24;13:918397. doi: 10.3389/fpls.2022.918397. eCollection 2022.

Abstract

Accurate calculation of root water uptake (RWU) is the key to improving vegetation water use efficiency and identifying water cycle evolution patterns, and root tips play an important role in RWU. However, most of the current RWU models in the alpine meadow are calculated based on the root length density (RLD) function. In this study, a large number of roots, soil hydraulic conductivity, and physicochemical property indices were obtained by continuous field prototype observation experiments for up to 2 years. It was found that the RLD and root tip density (RTD) in alpine meadows decrease by 16.2% and 14.6%, respectively, in the wilting stage compared to the regreening stage. The RTD distribution function of the alpine meadow was constructed, and the RWU model was established accordingly. The results show that the RTD function is more accurate than the RLD function to reflect the RWU pattern. Compared with RLD, the simulated RWU model constructed by using RTD as the root index that can effectively absorb water increased by 24.64% on average, and the simulated values were more consistent with the actual situation. It can be seen that there is an underestimation of RWU calculated based on the RLD function, which leads to an underestimation of the effect of climate warming on evapotranspiration. The simulation results of the RWU model based on RTD showed that the RWU rate in the regreening stage increased by 30.24% on average compared with that in the wilting stage. Meanwhile, the top 67% of the rhizosphere was responsible for 86.76% of the total RWU on average. This study contributes to the understanding of the alpine meadow water cycle system and provides theoretical support for the implementation of alpine meadow vegetation protection and restoration projects.

摘要

准确计算根系吸水(RWU)是提高植被水分利用效率和识别水循环演变模式的关键,而根尖在根系吸水中起着重要作用。然而,目前大多数高寒草甸的根系吸水模型是基于根长密度(RLD)函数计算的。在本研究中,通过长达2年的连续田间原型观测实验,获取了大量根系、土壤水力传导率和理化性质指标。研究发现,与返青期相比,高寒草甸在萎蔫期的根长密度和根尖密度分别下降了16.2%和14.6%。构建了高寒草甸的根尖密度分布函数,并据此建立了根系吸水模型。结果表明,根尖密度函数比根长密度函数更能准确反映根系吸水模式。与根长密度相比,以根尖密度作为有效吸水根指标构建的模拟根系吸水模型平均提高了24.64%,模拟值与实际情况更相符。可以看出,基于根长密度函数计算的根系吸水存在低估现象,这导致对气候变暖对蒸散影响的低估。基于根尖密度的根系吸水模型模拟结果表明,返青期的根系吸水速率平均比萎蔫期提高了30.24%。同时,平均而言,根际最上层67%的部分贡献了总根系吸水量的86.76%。本研究有助于理解高寒草甸水循环系统,为实施高寒草甸植被保护和恢复项目提供理论支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4264/9638077/fb7a4f59c48c/fpls-13-918397-g001.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验