Kellogg Biological Station site, station Kellogg Biological Station, study of aboveground net primary productivity of Triticum aestivum 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 Kellogg Biological Station (KBS)
contains aboveground net primary productivity of Triticum aestivum measurements in gramsPerMeterSquaredPerYear units
and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（乔纳达盆地长期生态研究站，美国农业部农业研究局乔纳达实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究站，美国农业部林务局卢奎洛实验林）于2004年创立，旨在支撑长期生态数据集的收集与分析工作。本项目为一项大型综合研究计划，聚焦于提升长期数据的可获取性与利用水平。目前，已有约50个州级及联邦资助的研究站点参与并为EcoTrends项目贡献数据，其中涵盖全部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（ARS）、美国农业部林务局、美国能源部、美国地质调查局（USGS）和众多高校资助的研究站点。EcoTrends项目的数据集可通过探索性网络门户（http://www.ecotrends.info）获取。该网络门户依托交互式Web应用程序，支持用户持续参与数据汇编并获取相关数据。作为长期生态研究溯源感知综合跟踪架构（PASTA）的组成部分，正在进行的数据汇编工作通过人工与自动处理相结合的方式完成更新。该网络门户由乔纳达LTER站与LTER网络办公室合作共建。以下来自凯洛格生物站（KBS）的数据集包含普通小麦（Triticum aestivum）的地上净初级生产力测量数据，单位为克每平方米每年，且已按年尺度进行聚合。