Suppr超能文献

一项为期4年的蒸渗仪研究中关于硝酸盐、亚硝酸盐和溶解有机碳淋失损失的综合数据集。

A comprehensive dataset on nitrate, Nitrite and dissolved organic carbon leaching losses from a 4-year Lysimeter study.

作者信息

Morvan Thierry, Lemoine Charlotte, Gaillard Florian, Hamelin Gaelle, Trinkler Béatrice, Carteaux Laurence, Petitjean Patrice, Jaffrezic Anne

机构信息

INRAE, Agrocampus Ouest, Umr Sas, 35000 Rennes, France.

Univ Rennes, CNRS, Géosciences Rennes, UMR 6118, 35000 Rennes, France.

出版信息

Data Brief. 2020 Jul 15;32:106029. doi: 10.1016/j.dib.2020.106029. eCollection 2020 Oct.

Abstract

This article presents a dataset on nitrate, nitrite and dissolved organic carbon (DOC) losses measured for 4 years using lysimeters at the EFELE long-term experimental site (Le Rheu, France). This ongoing long-term study was designed to provide information on effects of organic waste product (OWP) application and soil tillage on crop production, soil properties, biodiversity, greenhouse gas emissions and water quality. Forty wick-fiber lysimeters were installed at depths of 40 and 90 cm to document effects of organic and/or mineral fertilization, vegetation cover and weather conditions on dynamics of nitrate, nitrite and DOC concentrations of water collected during the drainage season (winter). These data help analyze the effects of winter plant cover (wheat vs. mustard catch crop) on these dynamics and fill a knowledge gap on effects of organic waste product supply on DOC losses. These dynamic data over several years are also of great interest for calibrating and evaluating models (e.g. STICS, APSIM, CERES).

摘要

本文展示了一个数据集,该数据集是在法国勒尔的EFELE长期试验场使用测渗仪,历时4年测量得到的硝酸盐、亚硝酸盐和溶解有机碳(DOC)损失数据。这项正在进行的长期研究旨在提供有关有机废弃物(OWP)施用和土壤耕作对作物产量、土壤性质、生物多样性、温室气体排放和水质影响的信息。在40厘米和90厘米深度安装了40个 Wick 纤维测渗仪,以记录有机和/或矿物施肥、植被覆盖和天气条件对排水季节(冬季)收集的水样中硝酸盐、亚硝酸盐和DOC浓度动态的影响。这些数据有助于分析冬季植物覆盖(冬小麦与芥菜间作作物)对这些动态的影响,并填补有机废弃物供应对DOC损失影响方面的知识空白。这些多年的动态数据对于校准和评估模型(如STICS、APSIM、CERES)也具有重要意义。

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