Global gridded nitrous oxide emissions from lakes and reservoirs

Based on the nitrous oxide (N2O) emission model developed by Maavara et al. (2019, GCB) and the HydroLAKES database, we simulated the average annual N2O emissions from 1.4 million lakes and reservoirs. We give bounded estimates of N2O emissions based on emission factors of 0.3%, 0.9% and 1.5%. We have gridded the model outputs at a resolution of 0.5 degree (i.e. ~50 km), and report emission fluxes normalized by total grid cell area. In addition, we report the areal proportion of lakes and reservoirs, which can be used to transform these emission estimates into N2O emission rates per water surface area. All estimates are reported for four types of standing water bodies: 0) All lakes and reservoirs, 1) Natural lakes w/o dam constructions, 2) Reservoirs, and 3) Regulated lakes. This classification of lake types was directly adopted from the HydroLAKES database.

本数据集基于Maavara等人于2019年发表在《全球变化生物学》（Global Change Biology，简称GCB）的一氧化二氮（N2O）排放模型，以及HydroLAKES数据库，对全球140万个湖泊与水库的年平均N2O排放量开展了模拟。本数据集基于0.3%、0.9%与1.5%三种排放因子，给出了N2O排放量的有界估计结果。我们将模型输出结果进行网格化处理，空间分辨率为0.5度（约合50千米），并报告以网格单元总面积归一化的排放通量。此外，本数据集还提供了湖泊与水库的面积占比数据，可用于将上述排放估计值转换为单位水面面积的N2O排放速率。所有估计值均针对四类静止水体：0）全部湖泊与水库；1）无坝天然湖泊；2）水库；3）调控型湖泊。该湖泊分类体系直接引自HydroLAKES数据库。