Characteristics of Stemflow Nitrate and Its Isotopic Composition in a Temperate Pine Plantation

茎流 温带气候 环境科学 木本植物 作文(语言) 硝酸盐 林业 农林复合经营 生态学 贯通 地理 土壤科学 生物 土壤水分 语言学 哲学
作者
Yanhong Cao,Xinchao Sun,Liangxia Su,Chunyu Wang,Mengyao Wang,Baolu Yang
出处
期刊:Journal Of Geophysical Research: Biogeosciences [Wiley]
卷期号:130 (5)
标识
DOI:10.1029/2024jg008560
摘要

Abstract Increasing atmospheric nitrate (NO 3 − ) deposition can influence plant growth and productivity and has been studied in forest biogeochemical cycles. However, the transport and fate of atmospheric NO 3 − via stemflow (SF) remain poorly understood. We investigated the concentrations and fluxes of SF NO 3 − in relation to the influencing factors at both the inter‐ and intra‐event scales, and used the δ 15 N, δ 18 O, and Δ 17 O values to elucidate the transformations and sources of SF NO 3 − in a temperate Chinese pine plantation throughout two growing‐season periods. SF NO 3 − concentrations decreased exponentially, whereas SF NO 3 − fluxes linearly increased with increasing inter‐event bulk precipitation (BP) volume. Using a linear mixed model, it was determined that SF NO 3 − fluxes of individual trees were significantly influenced by tree height, rainfall duration, and rainfall intensity. The intra‐event SF NO 3 − concentrations exponentially decreased to a steady input, and this trend was significantly influenced by rainfall volume. Furthermore, both the δ 15 N and δ 18 O values of SF NO 3 − were significantly enriched compared to those of BP, indicating that tree trunks played an important role in buffering dry deposition. Based on a mass‐balance approach using the Δ 17 O values, it was found that SF NO 3 − was derived almost entirely from atmospheric deposition, while biological nitrification was rarely detected but occurred in October. This may be related to microbial nitrifying activity on tree trunks. These findings enhance the mechanistic understanding of the translocation and transformation of SF NO 3 − and provide insights for determining the loss of nitrogen from soil via leaching and denitrification.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
刚刚
瑞水南郡完成签到,获得积分10
刚刚
小毛发布了新的文献求助10
1秒前
顾矜应助he采纳,获得20
1秒前
果果完成签到,获得积分10
2秒前
2秒前
思源应助孙朱珠采纳,获得10
2秒前
2秒前
充电宝应助无限的大米采纳,获得10
2秒前
3秒前
mm发布了新的文献求助10
3秒前
3秒前
mm发布了新的文献求助10
3秒前
姚林枝发布了新的文献求助10
3秒前
vaikus发布了新的文献求助10
3秒前
mm发布了新的文献求助10
3秒前
mm发布了新的文献求助10
3秒前
嗒嗒完成签到,获得积分10
3秒前
mm发布了新的文献求助10
3秒前
mm发布了新的文献求助10
3秒前
mm发布了新的文献求助30
3秒前
3秒前
shmily发布了新的文献求助10
3秒前
mm发布了新的文献求助10
3秒前
mm发布了新的文献求助10
3秒前
4秒前
Wxs66完成签到,获得积分10
4秒前
kimodi完成签到 ,获得积分10
5秒前
SciGPT应助俏皮访枫采纳,获得30
5秒前
奋斗土豆发布了新的文献求助10
5秒前
5秒前
irenebae完成签到,获得积分10
5秒前
6秒前
隐形曼青应助大意的谷波采纳,获得10
6秒前
bmyy完成签到,获得积分10
6秒前
llll发布了新的文献求助30
6秒前
yyx完成签到,获得积分10
7秒前
水知道发布了新的文献求助10
7秒前
Kao应助果果采纳,获得10
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Resistance Spot Welding Dataset for Automobile Body-in-White Quality Analysis 748
日本現代怪異事典 副読本 700
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 650
Machine Learning for Asset Management and Pricing 600
Numerical analysis of the coupled atmosphere-ocean models (CAO II). II 600
Models for the coupled atmosphere and ocean 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7388169
求助须知:如何正确求助?哪些是违规求助? 8994634
关于积分的说明 19139318
捐赠科研通 7024881
什么是DOI,文献DOI怎么找? 3228290
关于科研通互助平台的介绍 2390794
邀请新用户注册赠送积分活动 2209343