H2Ohio Wetland Monitoring Program Vegetation Community Composition, Biomass, and Nutrient Content across Ohio, USA (2021-2022)
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This data package includes vegetation community composition, percent cover, biomass, and nutrient concentration data from wetland projects across Ohio, USA, monitored by the H2Ohio Wetland Monitoring Program. Monitoring began in July 2021 and is ongoing, with annual updates planned. While data collection varies by site, most wetlands are surveyed to characterize vegetation and estimate nutrient stocks through community composition assessments and biomass sampling. Sampling points are randomly generated within and up to 5 meters outside the approximated wetland boundary. Surveys are conducted at points where wetland species (FAC–OBL) are present using a 1×1 meter quadrat to record species composition and percent cover. At approximately half of these locations, a 0.25×0.25 meter quadrat is placed outside the northeast corner to collect vegetation samples for nutrient analysis. In these smaller quadrats, community composition and percent cover are recorded prior to sampling aboveground biomass and, at approximately one third of those sites, belowground biomass. Datasets collected by the H2Ohio Wetland Monitoring Program containing surface water and soil nutrient concentration from samples collected at Ohio wetlands during the 2021–2022 sampling period can be found in an accompanying data package (edi.2087) at https://doi.org/10.6073/pasta/297bd6d93b4fcc8416e4225834db380e.
本数据包包含由美国俄亥俄州H2Ohio湿地监测计划(H2Ohio Wetland Monitoring Program)监测的俄亥俄州境内各类湿地项目的植被群落组成、盖度百分比、生物量及养分浓度数据。该监测工作始于2021年7月,目前仍在持续推进,计划按年度更新数据集。
尽管各监测点的数据采集流程存在差异,绝大多数湿地均通过群落组成评估与生物量采样完成植被特征刻画与养分储量估算。
采样点随机布设于估算的湿地边界范围内,以及边界外至多5米的区域内。在存在湿地植物(FAC–OBL)的点位,采用1×1米样方(quadrat)记录物种组成与盖度百分比。
在约半数上述点位,于样方东北角外侧布设0.25×0.25米的小样方,采集植被样本用于养分分析。在这些小样方中,先记录群落组成与盖度百分比,随后采集地上生物量;其中约三分之一的点位还会额外采集地下生物量。
本监测计划于2021-2022年采样期在俄亥俄州湿地采集的地表水与土壤养分浓度数据集,可在配套数据包(edi.2087)中获取,访问链接为https://doi.org/10.6073/pasta/297bd6d93b4fcc8416e4225834db380e。
创建时间:
2025-11-14



