Greenhouse gas emissions from Mexican inland waters: first estimation and uncertainty using an upscaling approach

The traditional upscaling approach to greenhouse gas (GHG) emission estimates of inland waters is imprecise, but more precise methods based on environmental drivers are a longstanding challenge. Mexico lacks GHG for its waters, and only sparse scientifically validated information available. This study provides the first from Mexican using 4275 flux measurements 26 distinctive waterbodies one local another global surface area dataset (INEGI HydroLAKES). factors were calculated subsequently upscaled estimate total national emissions compare other measures mean or size-productivity weighted (SPW) models. Mean (standard error) annual fluxes all 2.2 (5.3) kg CO2 m−2 yr−1, 0.6 (1.14) CH4 1.0 × 10−3 (6.0 10−4) N2O yr−1. Estimates natural average release rates between 74 (87) 139 (163.23) Tg CO2eq while artificial reach 32 (2) 21 (21) according INEGI HydroLAKES datasets, respectively. Considerable uncertainty was determined in factor, mostly anthropogenic emissions. Waterbody chlorophyll concentration used as proxies model through regression analysis. According SPW IPCC models, computed close our exhibited strong influence eutrophication. In likely scenario increased eutrophication Mexico, an increase net could be expected.