Greenhouse gas emissions from Mexican inland waters: first estimation and uncertainty using an upscaling approach
Por:
Sanchez-Carrillo, Salvador, Alcocer, Javier, Vargas-Sanchez, Mariana, Soria-Reinoso, Ismael, Rivera-Herrera, Erika M., Cortes-Guzman, Daniela, Cuevas-Lara, Daniel, Guzman-Arias, Andrea P., Merino-Ibarra, Martin, Oseguera, Luis A.
Publicada:
3 abr 2022
Resumen:
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 CO2 m(-2) yr(-1), 0.6
(1.14) kg CH4 m(-2) yr(-1), and 1.0 x 10(-3) (6.0 x 10(-4)) kg N2O m(-2)
yr(-1). Estimates for natural waterbodies are annual average release
rates between 74 (87) and 139 (163.23) Tg CO2eq while artificial
waterbodies reach between 32 (2) and 21 (21) Tg CO2eq 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 CO2 and CH4 fluxes through regression
analysis. According to SPW and IPCC models, computed mean annual CH4
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.
Filiaciones:
Sanchez-Carrillo, Salvador:
Consejo Super Invest Cient MNCN CSIC, Museo Nacl Ciencias Nat, Dept Biogeoquim & Ecol Microbiana, Serrano 115 Bis, E-28006 Madrid, Spain
Alcocer, Javier:
Univ Nacl Autonoma Mexico, FES Iztacala, Grp Invest Limnol Trop, Av De los Barrios 1, Tlalnepantla 54090, Estado De Mexic, Mexico
Vargas-Sanchez, Mariana:
Univ Nacl Autonoma Mexico, Programa Posgrad Ciencias Mar & Limnol, Ciudad De Mexico, Mexico
Soria-Reinoso, Ismael:
Univ Nacl Autonoma Mexico, Programa Posgrad Ciencias Mar & Limnol, Ciudad De Mexico, Mexico
Rivera-Herrera, Erika M.:
Univ Nacl Autonoma Mexico, Programa Posgrad Ciencias Mar & Limnol, Ciudad De Mexico, Mexico
Cortes-Guzman, Daniela:
Univ Nacl Autonoma Mexico, Programa Posgrad Ciencias Mar & Limnol, Ciudad De Mexico, Mexico
Cuevas-Lara, Daniel:
Univ Nacl Autonoma Mexico, Programa Posgrad Ciencias Mar & Limnol, Ciudad De Mexico, Mexico
Guzman-Arias, Andrea P.:
Univ Nacl Autonoma Mexico, Programa Posgrad Ciencias Mar & Limnol, Ciudad De Mexico, Mexico
Merino-Ibarra, Martin:
Univ Nacl Autonoma Mexico, Inst Ciencias Mar & Limnol, Unidad Acad Ecol & Biodiversidad Acuat, Ciudad De Mexico, Mexico
Oseguera, Luis A.:
Univ Nacl Autonoma Mexico, FES Iztacala, Grp Invest Limnol Trop, Av De los Barrios 1, Tlalnepantla 54090, Estado De Mexic, Mexico
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