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

• Published in: Inland waters (Print) Vol. 12; no. 2; pp. 294 - 310
• Main Authors: Sánchez-Carrillo, Salvador, Alcocer, Javier, Vargas-Sánchez, Mariana, Soria-Reinoso, Ismael, Rivera-Herrera, Erika M., Cortés-Guzmán, Daniela, Cuevas-Lara, Daniel, Guzmán-Arias, Andrea P., Merino-Ibarra, Martín, Oseguera, Luis A.
• Format: Journal Article
• Language: English
• Published: Taylor & Francis 03.04.2022
• Subjects: 2eq; greenhouse gas emissions; lake; Mexico; reservoir; upscaling
• ISSN: 2044-2041; 2044-205X
• DOI: 10.1080/20442041.2021.2009310

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