Harvard Forest site, station Plymouth County, MA (FIPS 25023), study of population (urban) in units of number 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 Harvard Forest (HFR) contains population (urban) measurements in number units and were aggregated to a yearly timescale.EcoTrends项目由黛布拉·彼得斯博士（约拿盆地长期生态研究网络（Long-Term Ecological Research, LTER），美国农业部农业研究服务局（USDA-ARS）约拿实验牧场）与阿里尔·卢戈博士（卢基略长期生态研究网络（Long-Term Ecological Research, LTER），美国农业部林务局（USDA-FS）卢基略实验森林）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，核心目标在于提升长期数据的可获取性与复用价值。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EcoTrends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服务局（ARS）、美国农业部林务局（USDA-FS）、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项目的数据集可通过探索性网络门户（http://www.ecotrends.info）获取。该门户网站搭载交互式Web应用程序，可支持用户持续开展数据整合与数据获取工作。 作为长期生态研究网络溯源感知综合跟踪架构（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。 该网络门户由约拿盆地长期生态研究网络与LTER网络办公室联合开发运营。 本次提供的哈佛森林（HFR）数据集包含以数值为单位的城市人口测量数据，且已按年度时间尺度进行聚合。