Study of wildfire smoke effects on ecosystem metabolism in 10 California lakes (2018, 2020, 2021)

This dataset was collected as part of a large-scale study to assess impacts of smoke cover on gross primary production (GPP) and ecosystem respiration (R) in California lakes. The 10 study lakes span large gradients in elevation, size, nutrient concentrations, and water clarity. They include 5 ponds and lakes in Sequoia National Park, Lake Tahoe, Dulzura Lake, Clear Lake, Castle Lake, and a site in the Sacramento-San Joaquin River Delta. Metabolic rates in the upper mixed layer of each lake was estimated from hourly in-situ sensor data during the three smokiest years in California since 2006 (2018, 2020, 2021). The dataset includes daily estimates of GPP and R, mean daily values of variables used in metabolism models (water temperature, dissolved oxygen, mixed layer depth, photosynthetically active radiation, wind speed), and mean daily values of metrics related to smoke cover (shortwave radiation, PM2.5, smoke density derived from remote-sensing).

本数据集源自一项大型研究，该研究旨在评估烟雾笼罩对加利福尼亚州湖泊总初级生产量（Gross Primary Production, GPP）与生态系统呼吸（Ecosystem Respiration, R）的影响。本次研究选取的10个湖泊在海拔、水域面积、营养盐浓度及水体透明度等维度均覆盖较大梯度区间，其中包含红杉国家公园内的5处池塘与湖泊，以及太浩湖（Lake Tahoe）、杜尔祖拉湖（Dulzura Lake）、克利尔湖（Clear Lake）、卡斯尔湖（Castle Lake），另有一处采样点位于萨克拉门托-圣华金河三角洲（Sacramento-San Joaquin River Delta）。研究团队借助2006年以来加利福尼亚州烟雾污染最严重的三个年份（2018、2020、2021年）的每小时原位传感器观测数据，估算了各湖泊上层混合层的代谢速率。本数据集涵盖总初级生产量与生态系统呼吸的日度估算值，代谢模型所用变量的日均数据（含水温、溶解氧、混合层深度、光合有效辐射（Photosynthetically Active Radiation）、风速），以及与烟雾笼罩相关的指标日均数据（包括短波辐射、PM2.5、遥感反演得到的烟雾密度）。