Sevilleta site, station Rio Salado Grass Study Site, study of animal abundance of Dipodomys ordii in units of numberPerTrappingWeb 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 animal abundance of Dipodomys ordii measurements in numberPerTrappingWeb units and were aggregated to a yearly timescale.EcoTrends项目由黛布拉·彼得斯博士（约纳达盆地长期生态研究（Long-Term Ecological Research，简称LTER）站点，美国农业部农业研究服务局约纳达实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究（LTER）站点，美国农业部林业局卢奎洛实验森林）于2004年创立，旨在支撑长期生态数据集的采集与分析工作。 该项目为一项大型综合研究计划，核心目标在于提升长期生态数据的可获取性与应用效率。目前已有约50个由州政府及联邦政府资助的研究站点参与并向EcoTrends项目贡献数据，其中涵盖全部26个长期生态研究（LTER）站点，以及由美国农业部农业研究服务局（ARS）、美国农业部林业局、美国能源部、美国地质调查局（USGS）及众多高校资助的研究站点。 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Web应用程序，支持用户持续开展数据汇编与共享工作。作为长期生态研究溯源感知综合跟踪架构（Provenance Aware Synthesis Tracking Architecture，简称PASTA）的组成部分，正在推进的数据汇编工作将通过人工与自动两种处理方式进行更新。该网络门户由约纳达LTER与LTER网络办公室联合开发。 本次提供的塞维利亚塔（SEV）数据集包含以每诱捕网数量为单位的奥氏更格卢鼠（Dipodomys ordii）种群丰度测量数据，且已按年际时间尺度完成聚合处理。