Wetland water descriptive characteristics and soil characteristics in response to experimental warming, flooding, and goose herbivory, Yukon-Kuskokwim Delta (Western Alaska, USA) (2023-2024)

This dataset was created to understand flood water chemistry, soil characteristics, root biomass, and temperature responses to warming, flooding, and goose herbivory in the Yukon-Kuskokwim (Y-K) Delta (western Alaska, USA). We conducted a two-year field experiment in which we passively increased temperatures, simulating periodic tidal flooding at two intensity levels (low and high) during the 2022 and 2023 summer growing season. Our treatments reflect changes expected in the Y-K Delta in the next 10-20 years. We conducted the experiment in two wetlands (lowland and upland wetland) with different elevations and flooding histories: a wet sedge-shrub meadow and a transitional wet community between the meadow and tundra. In 2023 and 2024, we collected flood water salinity and pH, and above-ground and below-ground temperature. However, floodwater nutrients, soil salinity, soil bulk density, soil volumetric water content, root biomass, and soil organic matter were collected only in 2024.

本数据集旨在探究美国阿拉斯加州西部育空-库斯科奎姆（Yukon-Kuskokwim, Y-K）三角洲内，洪水水化学、土壤特性、根系生物量及温度对增温、淹水与鹅类啃食的响应。我们于2022年与2023年夏季生长季开展了为期两年的野外控制实验，通过被动升温模拟两种强度（低、高两级）的周期性潮汐淹水。本实验的处理设置对应Y-K三角洲未来10至20年的预期环境变化。实验设置于两个具备不同海拔与淹水历史的湿地（低地湿地与高地湿地）：分别为湿生薹草-灌丛草甸，以及草甸与苔原之间的过渡湿生群落。2023年与2024年，我们采集了洪水水体的盐度与pH值，以及地上与地下温度数据；但洪水水体养分、土壤盐度、土壤容重、土壤体积含水量、根系生物量及土壤有机质数据仅于2024年采集。