A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling
Oceanographic field programs often use delta N-15 biogeochemical measurements and in situ rate measurements to investigate nitrogen cycling and planktonic ecosystem structure. However, integrative modeling approaches capable of synthesizing these distinct measurement types are lacking. We develop a...
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ftfloridastunidc:oai:fsu.digital.flvc.org:fsu_605574 2023-05-15T17:34:25+02:00 A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling Stukel, Michael R. (authoraut) Decima, Moira (authoraut) Kelly, Thomas B. (authoraut) 1 online resource computer application/pdf https://doi.org/10.1371/journal.pone.0199123 http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000435528600077 http://fsu.digital.flvc.org/islandora/object/fsu%3A605574/datastream/TN/view/New%20Approach%20For%20Incorporating%20N-15%20Isotopic%20Data%20Into%20Linear%20Inverse%20Ecosystem%20Models%20With%20Markov%20Chain%20Monte%20Carlo%20Sampling.jpg English eng eng Plos One--1932-6203 Text journal article ftfloridastunidc https://doi.org/10.1371/journal.pone.0199123 2020-08-10T18:57:29Z Oceanographic field programs often use delta N-15 biogeochemical measurements and in situ rate measurements to investigate nitrogen cycling and planktonic ecosystem structure. However, integrative modeling approaches capable of synthesizing these distinct measurement types are lacking. We develop a novel approach for incorporating delta N-15 isotopic data into existing Markov Chain Monte Carlo (MCMC) random walk methods for solving linear inverse ecosystem models. We test the ability of this approach to recover food web indices (nitrate uptake, nitrogen fixation, zooplankton trophic level, and secondary production) derived from forward models simulating the planktonic ecosystems of the California Current and Amazon River Plume. We show that the MCMC with delta N-15 approach typically does a better job of recovering ecosystem structure than the standard MCMC or L-2 minimum norm (L2MN) approaches, and also outperforms an L2MN with delta N-15 approach. Furthermore, we find that the MCMC with delta N-15 approach is robust to the removal of input equations and hence is well suited to typical pelagic ecosystem studies for which the system is usually vastly under-constrained. Our approach is easily extendable for use with delta C-13 isotopic measurements or variable carbon:nitrogen stoichiometry. fresh-water, information, equatorial pacific, ocean, carbon flows, food-web analysis, marine nitrogen-cycle, mixing models, trophic position, tropical north-atlantic The publisher’s version of record is available at https://doi.org/10.1371/journal.pone.0199123 Article in Journal/Newspaper North Atlantic Florida State University Digital Library (FSUDL) Pacific PLOS ONE 13 6 e0199123 |
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Open Polar |
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Florida State University Digital Library (FSUDL) |
op_collection_id |
ftfloridastunidc |
language |
English |
description |
Oceanographic field programs often use delta N-15 biogeochemical measurements and in situ rate measurements to investigate nitrogen cycling and planktonic ecosystem structure. However, integrative modeling approaches capable of synthesizing these distinct measurement types are lacking. We develop a novel approach for incorporating delta N-15 isotopic data into existing Markov Chain Monte Carlo (MCMC) random walk methods for solving linear inverse ecosystem models. We test the ability of this approach to recover food web indices (nitrate uptake, nitrogen fixation, zooplankton trophic level, and secondary production) derived from forward models simulating the planktonic ecosystems of the California Current and Amazon River Plume. We show that the MCMC with delta N-15 approach typically does a better job of recovering ecosystem structure than the standard MCMC or L-2 minimum norm (L2MN) approaches, and also outperforms an L2MN with delta N-15 approach. Furthermore, we find that the MCMC with delta N-15 approach is robust to the removal of input equations and hence is well suited to typical pelagic ecosystem studies for which the system is usually vastly under-constrained. Our approach is easily extendable for use with delta C-13 isotopic measurements or variable carbon:nitrogen stoichiometry. fresh-water, information, equatorial pacific, ocean, carbon flows, food-web analysis, marine nitrogen-cycle, mixing models, trophic position, tropical north-atlantic The publisher’s version of record is available at https://doi.org/10.1371/journal.pone.0199123 |
author2 |
Stukel, Michael R. (authoraut) Decima, Moira (authoraut) Kelly, Thomas B. (authoraut) |
format |
Article in Journal/Newspaper |
title |
A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling |
spellingShingle |
A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling |
title_short |
A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling |
title_full |
A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling |
title_fullStr |
A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling |
title_full_unstemmed |
A New Approach For Incorporating N-15 Isotopic Data Into Linear Inverse Ecosystem Models With Markov Chain Monte Carlo Sampling |
title_sort |
new approach for incorporating n-15 isotopic data into linear inverse ecosystem models with markov chain monte carlo sampling |
url |
https://doi.org/10.1371/journal.pone.0199123 http://purl.flvc.org/fsu/fd/FSU_libsubv1_wos_000435528600077 http://fsu.digital.flvc.org/islandora/object/fsu%3A605574/datastream/TN/view/New%20Approach%20For%20Incorporating%20N-15%20Isotopic%20Data%20Into%20Linear%20Inverse%20Ecosystem%20Models%20With%20Markov%20Chain%20Monte%20Carlo%20Sampling.jpg |
geographic |
Pacific |
geographic_facet |
Pacific |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_relation |
Plos One--1932-6203 |
op_doi |
https://doi.org/10.1371/journal.pone.0199123 |
container_title |
PLOS ONE |
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13 |
container_issue |
6 |
container_start_page |
e0199123 |
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1766133259081613312 |