Reduced Temperature Sensitivity of Maximum Latewood Density Formation in High-Elevation Corsican Pines under Recent Warming

0545949 - ÚVGZ 2022 RIV CH eng J - Článek v odborném periodiku
Romer, P. - Hartl, C. - Schneider, L. - Bräuning, A. - Szymczak, S. - Huneau, F. - Lebre, S. - Reinig, F. - Büntgen, Ulf - Esper, Jan
Reduced Temperature Sensitivity of Maximum Latewood Density Formation in High-Elevation Corsican Pines under Recent Warming.
Atmosphere. Roč. 12, č. 7 (2021), č. článku 804. E-ISSN 2073-4433
Výzkumná infrastruktura: CzeCOS III - 90123
Institucionální podpora: RVO:86652079
Klíčová slova: regional climate model * tree-ring evidence * pinus-nigra * fire history * stomatal conductance * anatomical features * summer temperatures * mediterranean basin * extreme events * drought * dendroclimatology * tree-ring density * climate signals * Pinus nigra * climate change * Mediterranean * France
Obor OECD: Meteorology and atmospheric sciences
Impakt faktor: 3.110, rok: 2021
Způsob publikování: Open access
https://www.mdpi.com/2073-4433/12/7/804

Maximum latewood density (MXD) measurements from long-lived Black pines (Pinus nigra spp. laricio) growing at the upper treeline in Corsica are one of the few archives to reconstruct southern European summer temperatures at annual resolution back into medieval times. Here, we present a compilation of five MXD chronologies from Corsican pines that contain high-to-low frequency variability between 1168 and 2016 CE and correlate significantly (p < 0.01) with the instrumental April-July and September-October mean temperatures from 1901 to 1980 CE (r = 0.52-0.64). The growth-climate correlations, however, dropped to0.13 to 0.02 afterward, and scaling the MXD data resulted in a divergence of >1.5 degrees C between the colder reconstructed and warmer measured temperatures in the early-21st century. Our findings suggest a warming-induced shift from initially temperature-controlled to drought-prone MXD formation, and therefore question the suitability of using Corsican pine MXD data for climate reconstruction.
Trvalý link: http://hdl.handle.net/11104/0322555