J 2025

MioVeg1: A Global Middle Miocene Vegetation Reconstruction for Climate Modeling

BRADSHAW, Catherine D.; Tamara FLETCHER; Tammo REICHGELT; Funda AKGUN; David J. CANTRILL et al.

Základní údaje

Originální název

MioVeg1: A Global Middle Miocene Vegetation Reconstruction for Climate Modeling

Autoři

BRADSHAW, Catherine D.; Tamara FLETCHER; Tammo REICHGELT; Funda AKGUN; David J. CANTRILL; Manuel CASAS-GALLEGO; Nela DOLÁKOVÁ; Boglarka ERDEI; Mine Sezgul KAYSERI-OZER; Marianna KOVACOVA; Diana OCHOA; Matthew POUND; Torsten UTESCHER; Jiagang ZHAO; Pierre SEPULCHRE; Sarah J. FEAKINS; Dimiter IVANOV; Shufeng LI; Yunfa MIAO; Elzbieta WOROBIEC; Caroline A. E. STROMBERG; Joseph NOVAK; Nicholas HEROLD; Matthew HUBER; Amanda FRIGOLA; Matthias PRANGE; Gregor KNORR; Gerrit LOHMANN; Alexander FARNSWORTH; Yousheng LI; Daniel J. LUNT; Quentin PILLOT; Yannick DONNADIEU; R. Paul ACOSTA a Natalie BURLS

Vydání

PALEOCEANOGRAPHY AND PALEOCLIMATOLOGY, WASHINGTON, AMER GEOPHYSICAL UNION, 2025, 2572-4517

Další údaje

Jazyk

angličtina

Typ výsledku

Článek v odborném periodiku

Obor

10505 Geology

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Odkazy

Impakt faktor

Impact factor: 3.200 v roce 2024

Označené pro přenos do RIV

Ano

Organizační jednotka

Přírodovědecká fakulta

EID Scopus

Klíčová slova anglicky

Paleoclimatology and paleoceanography; earth system modeling; land cover change; Cenozoic; data sets

Štítky

Příznaky

Mezinárodní význam, Recenzováno
Změněno: 16. 1. 2026 08:16, Mgr. Marie Novosadová Šípková, DiS.

Anotace

V originále

Climate models require boundary condition information, such as vegetation and soil distributions because they influence the mean state climate, and feedbacks can significantly influence regional climate and climate sensitivity to CO2 forcing. Information about past distributions comes primarily from the paleobotanical record, which is often supplemented by a vegetation model to fill data gaps. For recent past periods such as the Pliocene, a quantitative suitability assessment of these vegetation model simulations is sufficient. However, the Miocene Climate Optimum spanning 16.9–14.7 Ma was the warmest period on Earth over the last ∼25 million years and models struggle to reproduce those conditions for the range of paleogeographies and CO2 concentrations tested, particularly at high latitudes. Here we bring together the Miocene modeling and data communities to update previous vegetation reconstructions used for climate modeling with a new regional approach that relaxes the requirement for a single model simulation to be used, blending instead simulations forced by different paleogeographies and CO2 concentrations. This ensures the simulated vegetation is first, and foremost, consistent with the paleorecord and provides a baseline for future comparisons. The reconstruction shows global increases in forest cover at all latitudes as compared to today and extensive C3 grasslands across the high northern latitudes. Data gaps at high latitudes are filled with vegetation models forced by higher CO2 concentrations than were required at lower latitudes consistent with the inability of current models to simulate Miocene high latitude warmth.