AmeriFlux FLUXNET-1F US-Ne1 Mead - irrigated continuous maize site
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下载链接:
https://www.osti.gov/servlets/purl/1871140/
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资源简介:
This is the AmeriFlux Management Project (AMP) created FLUXNET-1F version of the carbon flux data for the site US-Ne1 Mead - irrigated continuous maize site. This is the FLUXNET version of the carbon flux data for the site US-Ne1 Mead - irrigated continuous maize site produced by applying the standard ONEFlux (1F) software. Site Description - The study site is one of three fields (all located within 1.6 km of each other) at the University of Nebraska Agricultural Research and Development Center near Mead, Nebraska. This site is irrigated with a center pivot system. Prior to the initiation of the study, the irrigated site had a 10-yr history of maize-soybean rotation under no-till. A tillage operation (disking) was done just prior to the 2001 planting to homogenize the top 0.1 m of soil, incorporate P and K fertilizers, as well as previously accumulated surface residues. Since the tillage operation, the site has been under no-till management until the harvest of 2005. Following harvest, a conservation-plow tillage operation was initiated where a small amount of N fertilizer is sprayed on the residue immediately prior to the plow operation. Approximately 1/3 of the crop residue is left on the surface. The post-harvest conservation-plow operation continues as the current practice.
本数据集为美国通量网管理项目(AmeriFlux Management Project, AMP)产出的FLUXNET-1F版本碳通量数据,对应站点为US-Ne1米德站点——灌溉连作玉米田,该数据通过标准ONEFlux(1F)软件处理生成。站点说明:本研究站点位于内布拉斯加州米德市附近的内布拉斯加大学农业研究与发展中心,为该中心下辖三块试验田之一,三块田彼此间距均不超过1.6千米。该站点采用中心支轴式喷灌系统进行灌溉。在本研究启动前,该灌溉站点已连续10年采用免耕模式开展玉米-大豆轮作。2001年播种前夕,为使0.1米表层土壤均质化、施加磷(P)、钾(K)肥料并整合此前堆积的地表作物残体,该站点实施了圆盘耙翻耕作业。此次翻耕作业后,站点持续采用免耕管理模式直至2005年收获季。2005年收获后,该站点启用保护性翻耕耕作模式:在翻耕作业前,先向地表残体喷施少量氮肥,约三分之一的作物残体被保留于地表。目前,收获后保护性翻耕作业仍作为常规耕作模式持续实施。
提供机构:
AmeriFlux; University of Nebraska - Lincoln
创建时间:
2022-06-05
搜集汇总
背景与挑战
背景概述
该数据集是AmeriFlux FLUXNET-1F项目的一部分,提供了美国内布拉斯加州Mead灌溉连续玉米田站点(US-Ne1)的碳通量数据,包含详细的站点管理历史和耕作实践信息,适用于农业生态系统碳交换研究。
以上内容由遇见数据集搜集并总结生成



