@article{fdi:010080932,
  title = {{M}g/{C}a, {S}r/{C}a and stable isotopes from the planktonic foraminifera {T}. sacculifer : testing a multi-proxy approach for inferring paleotemperature and paleosalinity},
  author = {{D}issard, {D}elphine and {R}eichart, {G}. {J}. and {M}enk{\`e}s, {C}hristophe and {M}angeas, {M}organ and {F}rickenhaus, {S}. and {B}ijma, {J}.},
  editor = {},
  language = {{ENG}},
  abstract = {{O}ver the last decades, sea surface temperature ({SST}) reconstructions based on the {M}g/{C}a of foraminiferal calcite have frequently been used in combination with the delta {O}-18 signal from the same material to provide estimates of the delta {O}-18 of water delta {O}-18, a proxy for global ice volume and sea surface salinity ({SSS}). {H}owever, because of error propagation from one step to the next, better calibrations are required to increase the accuracy and robustness of existing isotope and element to temperature proxy relationships. {T}owards that goal, we determined {M}g/{C}a, {S}r/{C}a and the oxygen isotopic composition of {T}rilobatus sacculifer (previously referenced as {G}lobigerinoides sacculifer) collected from surface waters (0-10 m) along a north-south transect in the eastern basin of the tropical and subtropical {A}tlantic {O}cean. {W}e established a new paleotemperature calibration based on {M}g/{C}a and on the combination of {M}g/{C}a and {S}r/{C}a. {S}ubsequently, a sensitivity analysis was performed in which one, two or three different equations were considered. {R}esults indicate that foraminiferal {M}g/{C}a allows for an accurate reconstruction of surface water temperature. {C}ombining equations, delta {O}-18 can be reconstructed with a precision of about +/- 0.5 parts per thousand. {H}owever, the best possible salinity reconstruction based on locally calibrated equations only allowed for a reconstruction with an uncertainty of +/- 2.49. {T}his was confirmed by a {M}onte {C}arlo simulation, applied to test successive reconstructions in an "ideal case" in which explanatory variables are known. {T}his simulation shows that from a purely statistical point of view, successive reconstructions involving {M}g/{C}a and delta {O}-18 preclude salinity reconstructions with a precision better than +/- 1.69 and hardly better than +/- 2.65 due to error propagation. {N}evertheless, a direct linear fit to reconstruct salinity based on the same measured variables ({M}g/{C}a and delta {O}-18(c)) was established. {T}his direct reconstruction of salinity led to a much better estimation of salinity (+/- 0.26) than the successive reconstructions.},
  keywords = {{ATLANTIQUE} ; {ZONE} {TROPICALE}},
  booktitle = {},
  journal = {{B}iogeosciences},
  volume = {18},
  numero = {2},
  pages = {423--439},
  ISSN = {1726-4170},
  year = {2021},
  DOI = {10.5194/bg-18-423-2021},
  URL = {https://www.documentation.ird.fr/hor/fdi:010080932},
}