TREND-Phosphorus and gTREND-Phosphorus - Long-term phosphorus mass balance data for the contiguous United States (1930-2017)
收藏DataCite Commons2026-04-01 更新2026-05-03 收录
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https://plus.figshare.com/articles/dataset/TREND-Phosphorus_and_gTREND-Phosphorus_-_Long-term_phosphorus_mass_balance_data_for_the_contiguous_United_States_1930-2017_/30158131
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We developed two complementary datasets that track phosphorus (P) mass balance across the United States from 1930 to 2017, providing both county-level and high-resolution gridded data for quantifying phosphorus fluxes and surplus across space and time. We synthesized components of the anthropogenic P mass budget including: P fertilizer, manure P, human P waste, food P waste, laundry and dish detergent P, atmospheric P deposition, crop and pasture P removal, and the total P surplus (net P inputs).<br><b>TREND-Phosphorus</b> provides these P components and budget calculations at the annual county scale, constructed using publicly-available datasets from the U.S. Census of Agriculture, the United States Geological Survey, and the U.S. Census Bureau.<b>gTREND-Phosphorus</b> builds on this county-level foundation by downscaling the data to a 250-m grid based on land use. This represents the first 88-year, 250-m gridded phosphorus mass budget dataset for the United States. To facilitate data access, each P component is provided as a separate zipped folder.These datasets are designed to facilitate multi-decadal investigations of anthropogenic P dynamics across the U.S. in the context of long-term changes in agricultural management and land use. The high-resolution gTREND-Phosphorus dataset enables finer-scale investigations of P dynamics, especially in small to medium-sized watersheds where land-use heterogeneity is high. Together, these data can support a wide range of scientific and policy applications, including long-term environmental monitoring, hotspot identification, and targeted nutrient management.All authors participated in the creation of these data. DKB lead the creation of the county-scale TREND-Phosphorus dataset. SYC lead the gTREND-Phosphorus downscaling of county-scale component and surplus.
本研究构建了两套互补数据集,用于追踪1930年至2017年美国境内的磷(phosphorus)质量平衡情况,可提供县级尺度与高分辨率格网两种格式的数据,以量化不同时空维度下的磷通量与磷盈余。本研究整合了人为磷质量收支的各项组成部分,包括:磷肥、粪肥磷、人类排泄物磷、食品废料磷、洗衣与餐具洗涤剂磷、大气磷沉降、作物与牧场磷移除量,以及总磷盈余(净磷输入量)。<br><b>TREND-磷数据集(TREND-Phosphorus)</b> 提供了县级年度尺度下的各类磷组分与收支计算结果,其数据整合自美国农业普查、美国地质调查局以及美国人口普查局的公开可用数据集。<b>gTREND-磷数据集(gTREND-Phosphorus)</b> 以此县级尺度数据集为基础,依据土地利用类型将数据降尺度至250米格网分辨率,为美国首套时长88年、分辨率达250米的格网化磷质量收支数据集。为便于数据获取,每一类磷组分均以独立的压缩文件夹形式提供。<br>本套数据集旨在支持针对美国境内人为磷动态的多年代际研究,助力解析农业管理与土地利用长期变化背景下的磷循环过程。高分辨率的gTREND-磷数据集可支撑更精细尺度的磷动态研究,尤其适用于土地利用异质性较高的中小型流域。两套数据集结合使用,可覆盖广泛的科学研究与政策应用场景,包括长期环境监测、磷富集热点识别以及精准养分管理等。<br>全体作者均参与了本套数据集的构建工作:DKB主导了县级尺度TREND-磷数据集的开发,SYC则负责县级尺度磷组分与盈余数据的格网化降尺度工作。
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Figshare+
创建时间:
2026-03-11



