Monitoring of soil moisture in Long-Term Ecological Research (LTER) sites of Romanian Carpathians

IF 1.7 3区 农林科学 Q2 FORESTRY
L. Dincă, O. Badea, G. Guiman, C. Bragă, V. Crisan, V. Greavu, G. Murariu, L. Georgescu
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引用次数: 19

Abstract

Understanding soil moisture and its relationship with different climatic and soil characteristics is essential for better analysing the interactions between forest and soil water dynamics, allowing us to more precisely predict climatic changes. The present paper investigates the temporal variability of soil moisture in three different forest ecosystems (LTER – long term ecological research site) with the same soil type (Eutric Cambisol).  Soil moisture was measured daily from 2011 to 2016 by using three sensors at three different depths (20, 40, 70 cm). We identified the interactions between soil properties, vegetation type, local climatic conditions and soil moisture. In order to establish the temporal variability of the soil moisture content, we have applied two procedures, namely the Fourier series and the neural network fitting. A high variability in time and depth for soil volumetric water content was identified. The highest soil moisture levels were recorded at higher depths (70 cm) for almost all surfaces, with the exception of the Fundata surface because of the occurrence of limestone. In the mountainous areas, with higher precipitation (Fundata and Predeal sites), volumetric soil water content was mainly influenced by soil physical characteristics. Soil moisture levels below the drought level were only recorded for the Stalpeni site from September to October 2012. There was a delay between the precipitation event and soil humidification of 0.4-0.8 time units (days). We also found a significant correlation between soil moisture and soil texture and a weak correlation with vegetation type. Temperature influenced soil moisture levels at almost all depths, while precipitation only had an impact when there was a delay of 1 or 2 days. Our results can serve as a scientific base in the monitoring and analysing of soil moisture against the background of a changing climate.
罗马尼亚喀尔巴阡山脉长期生态研究(LTER)站点土壤水分监测
了解土壤水分及其与不同气候和土壤特征的关系,对于更好地分析森林和土壤水分动态之间的相互作用,使我们能够更准确地预测气候变化至关重要。本文研究了三种不同森林生态系统(ltr -长期生态研究点)土壤水分的时间变化规律。从2011年到2016年,每天使用三个传感器在三个不同深度(20、40、70 cm)测量土壤湿度。我们确定了土壤性质、植被类型、当地气候条件和土壤湿度之间的相互作用。为了建立土壤含水量的时间变异性,我们采用了两种方法,即傅里叶级数和神经网络拟合。土壤体积含水量在时间和深度上具有很高的变异性。几乎所有地表的最高土壤湿度都记录在更深的深度(70厘米),除了Fundata地表,因为有石灰石。在降水较多的山区(Fundata和Predeal站点),土壤体积含水量主要受土壤物理特性的影响。2012年9月至10月,仅在Stalpeni遗址记录了低于干旱水平的土壤湿度。降水事件与土壤增湿之间存在0.4 ~ 0.8个时间单位(d)的延迟。土壤湿度与土壤质地呈显著相关,与植被类型呈弱相关。温度对几乎所有深度的土壤湿度都有影响,而降水只有在延迟1或2天时才有影响。研究结果可为气候变化背景下的土壤湿度监测和分析提供科学依据。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.20
自引率
11.10%
发文量
11
审稿时长
12 weeks
期刊介绍: Annals of Forest Research is a semestrial open access journal, which publishes research articles, research notes and critical review papers, exclusively in English, on topics dealing with forestry and environmental sciences. The journal promotes high scientific level articles, by following international editorial conventions and by applying a peer-review selection process.
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