Hubbard Brook site, station Unknown, study of aboveground net primary productivity in units of gramsPerMeterSquaredPerYear on a yearly timescale

The EcoTrends project was established in 2004 by Dr. Debra Peters (Jornada Basin LTER, USDA-ARS Jornada Experimental Range) and Dr. Ariel Lugo (Luquillo LTER, USDA-FS Luquillo Experimental Forest) to support the collection and analysis of long-term ecological datasets. The project is a large synthesis effort focused on improving the accessibility and use of long-term data. At present, there are ~50 state and federally funded research sites that are participating and contributing to the EcoTrends project, including all 26 Long-Term Ecological Research (LTER) sites and sites funded by the USDA Agriculture Research Service (ARS), USDA Forest Service, US Department of Energy, US Geological Survey (USGS) and numerous universities. Data from the EcoTrends project are available through an exploratory web portal (http://www.ecotrends.info). This web portal enables the continuation of data compilation and accessibility by users through an interactive web application. Ongoing data compilation is updated through both manual and automatic processing as part of the LTER Provenance Aware Synthesis Tracking Architecture (PASTA). The web portal is a collaboration between the Jornada LTER and the LTER Network Office. The following dataset from Hubbard Brook (HBR) contains aboveground net primary productivity measurements in gramsPerMeterSquaredPerYear units and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（Jornada盆地长期生态研究站，美国农业部农业研究局Jornada试验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究站，美国农业部林业局卢奎洛试验林）于2004年创立，旨在支撑长期生态数据集的采集与分析工作。本项目是一项大型综合研究工程，核心目标是提升长期生态数据的可获取性与使用效率。目前共有约50个州立及联邦资助的研究站点参与并为EcoTrends项目贡献数据，其中包含全部26个长期生态研究（Long-Term Ecological Research, LTER）站点，以及由美国农业部农业研究局（Agricultural Research Service, ARS）、美国农业部林业局、美国能源部、美国地质调查局（United States Geological Survey, USGS）与众多高校资助的各类站点。EcoTrends项目的数据可通过探索性网络门户（http://www.ecotrends.info）获取，该门户依托交互式网络应用程序，支持用户持续开展数据整合与访问工作。项目的持续性数据整合工作通过手动与自动处理相结合的方式完成，依托长期生态研究站溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）实现更新。该网络门户由Jornada LTER与LTER网络办公室联合开发。以下来自哈伯布鲁克（Hubbard Brook, HBR）的数据集包含以克每平方米每年为单位的地上净初级生产力测量值，并已聚合至年时间尺度。