Cascade Head Experimental Forest site, station Lincoln County, OR (FIPS 41041), study of percent urban population 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 Cascade Head Experimental Forest (CHE) contains percent urban population measurements in percent 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站，Jornada Basin LTER，美国农业部农业研究局约拿实验牧场）与阿里尔·卢戈博士（卢奎洛长期生态研究站，Luquillo LTER，美国农业部森林管理局卢奎洛实验森林）于2004年创立，旨在支持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获取性与应用价值。目前共有约50个州政府与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，以及美国农业部农业研究服务局（USDA ARS）、美国农业部森林管理局（USDA-FS）、美国能源部、美国地质调查局（US Geological Survey, USGS）和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，为用户提供持续的数据整合与可访问服务。作为长期生态研究溯源感知综合跟踪架构（LTER Provenance Aware Synthesis Tracking Architecture, PASTA）的一部分，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。本网络门户由约拿LTER站点与LTER网络办公室联合开发维护。以下来自喀斯喀特头实验森林（Cascade Head Experimental Forest, CHE）的数据集，包含以百分比为单位的城镇人口占比测量值，且已聚合至年度时间尺度。