FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2897225545> ?p ?o ?g. }

• W2897225545 endingPage "564" @default.
• W2897225545 startingPage "555" @default.
• W2897225545 abstract "Tidal marshes are coastal ecosystems that store large amounts of sedimentary organic carbon (OC). Reducing the current uncertainty on the amount of OC stored these sediments requires the analysis of a large number of sediment samples. Soil sensing techniques, using mid infrared (MIR) spectroscopy combined with partial least squares regression (PLSR), have been proven to be a valid alternative for standard OC measurements in a wide range of terrestrial ecosystems. However, the application of these techniques to tidal marsh sediments has been very limited and the error associated with calculated sedimentary OC stocks using MIR spectroscopy/PLSR data has up till now not been evaluated. Therefore, we assessed the potential of MIR spectroscopy/PLSR to predict the OC concentration and OC stock of tidal marsh sediments in a temperate estuary (Scheldt estuary, Belgium and The Netherlands). Based on a cross-validation procedure, the results show that MIR spectroscopy/PLSR predicts the OC concentration of tidal marsh sediments along the entire estuary with a high accuracy (R2 = 0.94, RMSE = 0.56% OC). Similar accuracies were obtained for the prediction of sedimentary OC concentrations from independent tidal marshes. Organic carbon concentrations from tidal marshes in the salt portion of the estuary were, however, predicted more accurately using a PLSR model trained exclusively with sediment samples from this salinity zone. Combining depth profiles of predicted OC concentrations with measured bulk densities resulted in predictions of total OC stocks with a relative error < 4% for freshwater and brackish marshes, while errors for salt marshes were up to 30%. As MIR spectroscopy/PLSR is not able to accurately predict bulk density or OC density, standard field measurements of bulk density remain necessary to reliably predict sedimentary OC stocks in tidal marshes." @default.
• W2897225545 created "2018-10-26" @default.
• W2897225545 creator A5054488107 @default.
• W2897225545 creator A5088669137 @default.
• W2897225545 date "2019-03-01" @default.
• W2897225545 modified "2023-10-05" @default.
• W2897225545 title "Quantification of organic carbon concentrations and stocks of tidal marsh sediments via mid-infrared spectroscopy" @default.
• W2897225545 cites W1855222657 @default.
• W2897225545 cites W1970421972 @default.
• W2897225545 cites W1978357000 @default.
• W2897225545 cites W1982667008 @default.
• W2897225545 cites W1986938560 @default.
• W2897225545 cites W1990363677 @default.
• W2897225545 cites W1996233253 @default.
• W2897225545 cites W1996585409 @default.
• W2897225545 cites W1999803596 @default.
• W2897225545 cites W2012469201 @default.
• W2897225545 cites W2012565092 @default.
• W2897225545 cites W2013294138 @default.
• W2897225545 cites W2017422910 @default.
• W2897225545 cites W2025015460 @default.
• W2897225545 cites W2038719847 @default.
• W2897225545 cites W2051176196 @default.
• W2897225545 cites W2052903566 @default.
• W2897225545 cites W2078770572 @default.
• W2897225545 cites W2079586129 @default.
• W2897225545 cites W2080392999 @default.
• W2897225545 cites W2089924541 @default.
• W2897225545 cites W2103766443 @default.
• W2897225545 cites W2149287950 @default.
• W2897225545 cites W2157208270 @default.
• W2897225545 cites W2161313304 @default.
• W2897225545 cites W2292439029 @default.
• W2897225545 cites W2331107653 @default.
• W2897225545 cites W2339304150 @default.
• W2897225545 cites W2467730580 @default.
• W2897225545 cites W2495691485 @default.
• W2897225545 cites W2556587018 @default.
• W2897225545 cites W2563245495 @default.
• W2897225545 cites W2563854780 @default.
• W2897225545 cites W2592862681 @default.
• W2897225545 cites W2594040374 @default.
• W2897225545 cites W2600033982 @default.
• W2897225545 cites W2765320284 @default.
• W2897225545 cites W2773146783 @default.
• W2897225545 cites W2790698334 @default.
• W2897225545 doi "https://doi.org/10.1016/j.geoderma.2018.09.051" @default.
• W2897225545 hasPublicationYear "2019" @default.
• W2897225545 type Work @default.
• W2897225545 sameAs 2897225545 @default.
• W2897225545 citedByCount "13" @default.
• W2897225545 countsByYear W28972255452020 @default.
• W2897225545 countsByYear W28972255452021 @default.
• W2897225545 countsByYear W28972255452022 @default.
• W2897225545 countsByYear W28972255452023 @default.
• W2897225545 crossrefType "journal-article" @default.
• W2897225545 hasAuthorship W2897225545A5054488107 @default.
• W2897225545 hasAuthorship W2897225545A5088669137 @default.
• W2897225545 hasBestOaLocation W28972255452 @default.
• W2897225545 hasConcept C107872376 @default.
• W2897225545 hasConcept C111368507 @default.
• W2897225545 hasConcept C114793014 @default.
• W2897225545 hasConcept C117949133 @default.
• W2897225545 hasConcept C118178180 @default.
• W2897225545 hasConcept C127313418 @default.
• W2897225545 hasConcept C129513315 @default.
• W2897225545 hasConcept C158787203 @default.
• W2897225545 hasConcept C17409809 @default.
• W2897225545 hasConcept C185592680 @default.
• W2897225545 hasConcept C187320778 @default.
• W2897225545 hasConcept C18903297 @default.
• W2897225545 hasConcept C2816523 @default.
• W2897225545 hasConcept C39432304 @default.
• W2897225545 hasConcept C6494504 @default.
• W2897225545 hasConcept C67268981 @default.
• W2897225545 hasConcept C67715294 @default.
• W2897225545 hasConcept C76886044 @default.
• W2897225545 hasConcept C86803240 @default.
• W2897225545 hasConcept C87441765 @default.
• W2897225545 hasConcept C88160329 @default.
• W2897225545 hasConceptScore W2897225545C107872376 @default.
• W2897225545 hasConceptScore W2897225545C111368507 @default.
• W2897225545 hasConceptScore W2897225545C114793014 @default.
• W2897225545 hasConceptScore W2897225545C117949133 @default.
• W2897225545 hasConceptScore W2897225545C118178180 @default.
• W2897225545 hasConceptScore W2897225545C127313418 @default.
• W2897225545 hasConceptScore W2897225545C129513315 @default.
• W2897225545 hasConceptScore W2897225545C158787203 @default.
• W2897225545 hasConceptScore W2897225545C17409809 @default.
• W2897225545 hasConceptScore W2897225545C185592680 @default.
• W2897225545 hasConceptScore W2897225545C187320778 @default.
• W2897225545 hasConceptScore W2897225545C18903297 @default.
• W2897225545 hasConceptScore W2897225545C2816523 @default.
• W2897225545 hasConceptScore W2897225545C39432304 @default.
• W2897225545 hasConceptScore W2897225545C6494504 @default.
• W2897225545 hasConceptScore W2897225545C67268981 @default.
• W2897225545 hasConceptScore W2897225545C67715294 @default.
• W2897225545 hasConceptScore W2897225545C76886044 @default.

• next