Cover plant functional types alter the abundance and composition of hydrophobic compounds: The relationship with soil water repellency on the Chinese Loess Plateau

苏贝林 角质 常绿 化学 土壤水分 樟科 霍帕诺类 植物 作文(语言) 木质素 环境化学 生物 有机化学 生态学 生物化学 哲学 烃源岩 古生物学 构造盆地 语言学
作者
Xiaohong Chai,Weiwei Wang,Xiuzi Ren,Junfeng Wang,Qi Zhang,Gaohui Duan,Yuanyuan Qu,Xuexuan Xu,Feng Du
出处
期刊:Plant and Soil [Springer Nature]
被引量:2
标识
DOI:10.1007/s11104-023-06424-6
摘要

It is widely accepted that soil water repellency (SWR) is mainly caused by hydrophobic compounds from plants and microbes. The relation between these hydrophobic compounds, which are defined as SWR biomarkers, and SWR has been rarely known and the knowledge of their sources remains controversial. We aimed to select key SWR biomarkers predicting SWR and to trace their origin. Topsoils under/around five dominant plant species (DPS) belonging to various plant functional types (PFTs) on the Chinese Loess Plateau were sampled, together with plant samples, i.e., plant leaves and roots. A sequential extraction procedure and hydrolysis approach were applied to obtain three organic fractions: dichloromethane (DCM)/ methanol (MeOH) soluble fraction (D), DCM/MeOH soluble fraction of isopropanol/ammonia solution (IPA/NH3) extract (AS), and DCM/MeOH insoluble fraction of IPA/NH3 extract (AI), which were analyzed by gas chromatography-mass spectrometry (GC–MS). The cutin concentrations in leaves and soils of evergreen trees with higher WDPT values were 10–60 times and 35.39–78.77% higher than those of other PFTs, respectively. However, the root-derived suberin in the soils under evergreen trees, deciduous trees, and shrubs were 19.55–62.69% lower than that around the legumes and grasses. Correlation analysis further revealed that cutin was positively correlated with SWR (r2 = 0.24, p < 0.001), whereas suberin was not (p > 0.05). After considering the SWR behavior during extraction and the possible origin of the compounds, we concluded that leaf-derived cutin appears to have the greatest effect on SWR.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
mx完成签到,获得积分10
1秒前
2秒前
2秒前
2秒前
2秒前
YYY完成签到,获得积分10
3秒前
静子完成签到 ,获得积分10
3秒前
3秒前
王博发布了新的文献求助10
3秒前
鳌小饭完成签到 ,获得积分10
4秒前
4秒前
提拉米苏应助科研通管家采纳,获得10
4秒前
妩媚的海应助科研通管家采纳,获得10
4秒前
完美世界应助科研通管家采纳,获得10
4秒前
科研通AI6应助科研通管家采纳,获得10
4秒前
丘比特应助科研通管家采纳,获得10
5秒前
科研通AI6应助科研通管家采纳,获得10
5秒前
大个应助科研通管家采纳,获得10
5秒前
Ava应助科研通管家采纳,获得10
5秒前
科研通AI6应助科研通管家采纳,获得10
5秒前
mx发布了新的文献求助10
5秒前
5秒前
5秒前
英姑应助窦飞荷采纳,获得10
6秒前
生动白安完成签到,获得积分10
6秒前
李健应助望江饮月采纳,获得10
6秒前
李健应助搞怪的冬灵采纳,获得10
7秒前
7秒前
yuuui发布了新的文献求助10
7秒前
哆来米发布了新的文献求助10
7秒前
kai_发布了新的文献求助50
7秒前
8秒前
8秒前
英俊的铭应助Diana采纳,获得30
8秒前
生动白安发布了新的文献求助30
9秒前
Tang125完成签到,获得积分10
9秒前
量子星尘发布了新的文献求助10
9秒前
落寞灵安发布了新的文献求助10
10秒前
冰红茶完成签到,获得积分10
11秒前
11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
List of 1,091 Public Pension Profiles by Region 1621
Les Mantodea de Guyane: Insecta, Polyneoptera [The Mantids of French Guiana] | NHBS Field Guides & Natural History 1500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 1000
Brittle fracture in welded ships 1000
King Tyrant 680
Linear and Nonlinear Functional Analysis with Applications, Second Edition 388
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5577734
求助须知:如何正确求助?哪些是违规求助? 4662737
关于积分的说明 14743320
捐赠科研通 4603456
什么是DOI,文献DOI怎么找? 2526409
邀请新用户注册赠送积分活动 1496151
关于科研通互助平台的介绍 1465546