Sevilleta site, station Five Points, study of plant cover of Eriogonum abertianum (Abert's buckwheat) in units of percent 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 Sevilleta (SEV) contains plant cover of Eriogonum abertianum (Abert's buckwheat) measurements in percent units and were aggregated to a yearly timescale.EcoTrends项目由Debra Peters博士（约那盆地长期生态研究站（Long-Term Ecological Research, LTER）、美国农业部农业研究服务局（USDA-ARS）约那试验牧场）与Ariel Lugo博士（卢奎洛长期生态研究站（Long-Term Ecological Research, LTER）、美国农业部林务局（USDA-FS）卢奎洛试验林）于2004年创立，旨在支撑长期生态数据集的收集与分析工作。本项目为大型综合整合研究项目，核心目标是提升长期生态数据的可获取性与应用效率。目前共有约50个由州政府与联邦资助的研究站点参与并为EcoTrends项目贡献数据，涵盖全部26个长期生态研究站（Long-Term Ecological Research, LTER），以及由美国农业部农业研究服务局（ARS）、美国农业部林务局（USDA Forest Service）、美国能源部、美国地质调查局（USGS）与众多高校资助的站点。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汇编与数据获取工作。持续进行的数据汇编工作，通过LTER溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture, PASTA）中的手动与自动处理流程完成更新。该网络门户由约那LTER站与LTER网络办公室联合打造。本次提供的塞维利塔（Sevilleta, SEV）数据集包含以百分比为单位的阿布特荞麦（Eriogonum abertianum）植物盖度测量数据，且所有数据均按年尺度聚合。