Modeling Organic Carbon Accumulation Rates and Residence Times in Coastal Vegetated Ecosystems
Elizabeth Fay Belshe
Jose Sanjuan
Carmen Leiva‐Dueñas
Nerea Piñeiro‐Juncal
Oscar Serrano
Paul Lavery
Miguel Angel Mateo
Abstract
Coastal vegetated “blue carbon” ecosystems can store large quantities of organic carbon (OC) within their soils; however, the importance of these sinks for climate change mitigation depends on the OC accumulation rate (CAR) and residence time. Here we evaluate how two modeling approaches, a Bayesian age‐depth model alone or in combination with a two‐pool OC model, aid in our understanding of the time lines of OC within seagrass soils. Fitting these models to data from Posidonia oceanica soil cores, we show that age‐depth models provided reasonable CAR estimates but resulted in a 22% higher estimation of OC burial rates when ephemeral rhizosphere OC was not subtracted. This illustrates the need to standardize CAR estimation to match the research target and time frames under consideration. Using a two‐pool model in tandem with an age‐depth model also yielded reasonable, albeit lower, CAR estimates with lower estimate uncertainty, which increased our ability to detect among‐site differences and seascape‐level trends. Moreover, the two‐pool model provided several other useful soil OC diagnostics, including OC inputs, decay rates, and transit times. At our sites, soil OC decayed quite slowly both within fast cycling (0.028 ± 0.014 yr−1) and slow cycling (0.0007 ± 0.0003 yr−1) soil pools, resulting in OC taking between 146 and 825 yr to transit the soil system. Further, an estimated 85% to 93% of OC inputs enter slow‐cycling soil pools, with transit times ranging from 891 to 3,115 yr, substantiating the importance of P. oceanica soils as natural, long‐term OC sinks.
Belshe E.F., Sanjuan J., Leiva‐Dueñas C., Piñeiro‐Juncal N., Serrano O., Lavery P. and Mateo M.A. (2019) Modeling Organic Carbon Accumulation Rates and Residence Times in Coastal Vegetated Ecosystems. Journal of Geophysical Research Biogeosciences. 10.1029/2019JG005233[Online ahead of print]
@article{Belshe2019,
Title = {Modeling Organic Carbon Accumulation Rates and Residence Times in Coastal Vegetated Ecosystems},
Author = {Belshe, Elizabeth Fay and Sanjuan, Jose and Leiva‐Dueñas, Carmen and Piñeiro‐Juncal, Nerea and Serrano, Oscar and Lavery, Paul and Mateo, Miguel Angel},
Editor = {},
Journal = {Journal of Geophysical Research Biogeosciences},
Year = {2019},
Doi = {10.1029/2019JG005233},
Abstract = {Coastal vegetated “blue carbon” ecosystems can store large quantities of organic carbon (OC) within their soils; however, the importance of these sinks for climate change mitigation depends on the OC accumulation rate (CAR) and residence time. Here we evaluate how two modeling approaches, a Bayesian age‐depth model alone or in combination with a two‐pool OC model, aid in our understanding of the time lines of OC within seagrass soils. Fitting these models to data from Posidonia oceanica soil cores, we show that age‐depth models provided reasonable CAR estimates but resulted in a 22% higher estimation of OC burial rates when ephemeral rhizosphere OC was not subtracted. This illustrates the need to standardize CAR estimation to match the research target and time frames under consideration. Using a two‐pool model in tandem with an age‐depth model also yielded reasonable, albeit lower, CAR estimates with lower estimate uncertainty, which increased our ability to detect among‐site differences and seascape‐level trends. Moreover, the two‐pool model provided several other useful soil OC diagnostics, including OC inputs, decay rates, and transit times. At our sites, soil OC decayed quite slowly both within fast cycling (0.028 ± 0.014 yr−1) and slow cycling (0.0007 ± 0.0003 yr−1) soil pools, resulting in OC taking between 146 and 825 yr to transit the soil system. Further, an estimated 85% to 93% of OC inputs enter slow‐cycling soil pools, with transit times ranging from 891 to 3,115 yr, substantiating the importance of P. oceanica soils as natural, long‐term OC sinks.},
}
TY - JOUR
AU - Belshe, Elizabeth Fay
AU - Sanjuan, Jose
AU - Leiva‐Dueñas, Carmen
AU - Piñeiro‐Juncal, Nerea
AU - Serrano, Oscar
AU - Lavery, Paul
AU - Mateo, Miguel Angel
TI - Modeling Organic Carbon Accumulation Rates and Residence Times in Coastal Vegetated Ecosystems
T2 - Journal of Geophysical Research Biogeosciences
PY - 2019
DO - 10.1029/2019JG005233
AB - Coastal vegetated “blue carbon” ecosystems can store large quantities of organic carbon (OC) within their soils; however, the importance of these sinks for climate change mitigation depends on the OC accumulation rate (CAR) and residence time. Here we evaluate how two modeling approaches, a Bayesian age‐depth model alone or in combination with a two‐pool OC model, aid in our understanding of the time lines of OC within seagrass soils. Fitting these models to data from Posidonia oceanica soil cores, we show that age‐depth models provided reasonable CAR estimates but resulted in a 22% higher estimation of OC burial rates when ephemeral rhizosphere OC was not subtracted. This illustrates the need to standardize CAR estimation to match the research target and time frames under consideration. Using a two‐pool model in tandem with an age‐depth model also yielded reasonable, albeit lower, CAR estimates with lower estimate uncertainty, which increased our ability to detect among‐site differences and seascape‐level trends. Moreover, the two‐pool model provided several other useful soil OC diagnostics, including OC inputs, decay rates, and transit times. At our sites, soil OC decayed quite slowly both within fast cycling (0.028 ± 0.014 yr−1) and slow cycling (0.0007 ± 0.0003 yr−1) soil pools, resulting in OC taking between 146 and 825 yr to transit the soil system. Further, an estimated 85% to 93% of OC inputs enter slow‐cycling soil pools, with transit times ranging from 891 to 3,115 yr, substantiating the importance of P. oceanica soils as natural, long‐term OC sinks.
ER -
Details
Date01.11.2019
JournalJournal of Geophysical Research Biogeosciences