Georgia Coastal Ecosystems site, station Zone 2, Mid-marsh, study of animal density of Gemma gemma in units of numberPerMeterSquared 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 Georgia Coastal Ecosystems (GCE) contains animal density of Gemma gemma measurements in numberPerMeterSquared units and were aggregated to a yearly timescale.

EcoTrends项目由黛布拉·彼得斯博士（约纳盆地长期生态研究网[Long-Term Ecological Research, LTER]，美国农业部农业研究局约纳实验牧场）与阿里尔·卢戈博士（卢奎约长期生态研究网[Long-Term Ecological Research, LTER]，美国农业部林务局卢奎约实验森林）于2004年创立，旨在支撑长期生态数据集的采集与分析工作。本项目为大型综合研究计划，核心目标是提升长期生态数据的可及性与使用率。当前共有约50个州级与联邦资助的研究站点参与本项目并贡献数据，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）及多所高校资助的站点。EcoTrends项目的数据可通过探索性网络门户（http://www.ecotrends.info）获取。该网络门户依托交互式Web应用程序，支持用户持续开展数据整合与数据获取操作。作为长期生态研究网溯源感知综合跟踪架构（LTER Provenance Aware Synthesis Tracking Architecture, PASTA）的组成部分，持续进行的数据整合工作通过人工与自动两种处理方式完成更新。本网络门户由约纳LTER与LTER网络办公室合作搭建。本数据集源自佐治亚海岸生态系统（GCE），包含以每平方米数量（numberPerMeterSquared）为单位的Gemma gemma动物密度测量数据，且已按年度时间尺度进行聚合。