Automated-Minirhizotron and Arrayed Rhizosphere-Soil Sensors [A-MARSS]

自动化微型根际管和阵列根际土壤传感器 [A-MARSS]

• 批准号: 0410408
• 负责人: Michael Allen
• 金额: --
• 依托单位: University of California-Riverside
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-10-01 至 2010-09-30
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0410408&HistoricalAwards=false
• 关键词: Automated; Minirhizotron; Arrayed; Rhizosphere; Soil

This award supports the development of a robotic minirhizotron system and its integration with existing technologies into a network of environmental monitoring probes (nitrate, carbon dioxide, water, temperature, microbial composition) that can both receive instructions and transmit data and images remotely using new wireless technologies. Soil ecology has generally consisted of individual static or harvest measurements that lack adequate small-scale, rapid replication. The new instrumentation and integration approaches should provide a quantum leap in the ability to monitor and describe small-scale phenomena and integrate a large number of measurements both spatially and temporally into integrated complex mechanics of soil ecology. The project team consists of ecologists, environmental scientists, engineers, and computer scientists all working to develop the new instruments and integrate the array of parameters measured. All measurements are being designed to measure remotely, allowing for the observation of events as they occur. This project integrates prior work from programs in soil biocomplexity, technique development, and wireless engineering technologies. The project will take place at three locations (1) the James Reserve, a University of California Natural Reserve System site with an existing website and remote-controlled data access system used by schools nationally, (2) an agricultural technology testbed near Palmdale, CA, where pollution sensors are being tested, and (3) a Long-Term Ecological Research (LTER) site, near Albuquerque, focused on drought studies using the rain-out shelters.

该奖项支持机器人微型电子管系统的开发，并将其与现有技术集成到环境监测探头（硝酸盐，二氧化碳，水，温度，微生物成分）网络中，该网络可以使用新的无线技术远程接收指令并传输数据和图像。土壤生态学通常由单独的静态或收获测量组成，缺乏足够的小规模，快速复制。新的仪器和集成方法应提供一个量子飞跃的能力，监测和描述小规模的现象，并整合了大量的测量空间和时间到综合复杂的土壤生态力学。该项目团队由生态学家、环境科学家、工程师和计算机科学家组成，他们都致力于开发新仪器并整合测量的一系列参数。 所有测量都是为了进行远程测量，以便在事件发生时进行观察。该项目整合了土壤生物复杂性，技术开发和无线工程技术项目的前期工作。 该项目将在三个地点进行：（1）詹姆斯保护区，加州大学自然保护区系统网站，现有网站和全国学校使用的远程控制数据访问系统，（2）加利福尼亚州帕姆代尔附近的农业技术试验台，正在测试污染传感器，以及（3）长期生态研究（LTER）网站，靠近阿尔伯克基，利用防雨棚进行干旱研究。