DendroOlavide, Depto. de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Crta. Utrera km. 1, 41013 Sevilla, Spain; Forest Ecology and Forest Management Group, Wageningen University & Research, P.O. Box 47, 6700 AA Wageningen, the Netherlands.
DendroOlavide, Depto. de Sistemas Físicos, Químicos y Naturales, Universidad Pablo de Olavide, Crta. Utrera km. 1, 41013 Sevilla, Spain.
Sci Total Environ. 2023 Jan 15;856(Pt 2):159291. doi: 10.1016/j.scitotenv.2022.159291. Epub 2022 Oct 5.
Long-term records of tree-ring width (TRW), latewood maximum density (MXD) and blue intensity (BI) measurements on conifers have been largely used to develop high-resolution temperature reconstructions in cool temperate forests. However, the potential of latewood blue intensity (LWBI), less commonly used earlywood blue intensity (EWBI), and delta (difference between EWBI and LWBI, dBI) blue intensity in Mediterranean tree species is still unexplored. Here we developed BI chronologies in moist-elevation limits of the most southwestern European distribution of Pinus nigra subsp. salzmanii Arnold. We tested whether BI variables derived from tree rings of black pine are better proxies than ring-width variables to reconstruct long-term changes in climatic factors and water availability. For this we applied correlations and regression analyses with daily and monthly climate data, a spatial and temporal drought index (Standardized Precipitation-Evapotranspiration Index-SPEI) and Vapour Pressure Deficit (VPD), as well as atmospheric circulation patterns: North Atlantic Oscillation (NAO), Southern Oscillation Index (SOI) and Western Mediterranean Oscillation (WeMO). We found a positive relation between black pine growth (RW) and temperature during the winter preceding the growing season. Among all variables LWBI and dBI were found to be more sensitive than TRW to SPEI at low-elevation site, with EWBI series containing an opposite climatic signal. LWBI and dBI were significantly related to June and September precipitation at high-elevation site. Winter VPD was related with higher EWI and LWI series, whereas dBI and EWBI were related with January SOI and February NAO. We confirm the potential of long-term dBI series to reconstruct climate in drought-prone regions. This novel study in combination with other wood anatomical measurements has wide implications for further use of BI to understand and reconstruct environmental changes in Mediterranean conifer forests.
长期以来,对针叶树的树木年轮宽度(TRW)、晚材最大密度(MXD)和蓝度(BI)的记录已被广泛用于在凉爽的温带森林中建立高分辨率的温度重建。然而,地中海树种的晚材蓝度(LWBI)、较少使用的早材蓝度(EWBI)和蓝度差值(EWBI 和 LWBI 之间的差异,dBI)的潜力尚未得到探索。在这里,我们在欧洲最西南的 Pinus nigra subsp. salzmanii Arnold 的最湿润海拔极限处建立了 BI 年表。我们测试了从黑松的树木年轮中得出的 BI 变量是否比环宽变量更能很好地重建气候因子和水分可用性的长期变化。为此,我们应用了相关性和回归分析,分析了每日和每月的气候数据、空间和时间干旱指数(标准化降水蒸散指数-SPEI)和水汽压亏缺(VPD),以及大气环流模式:北大西洋涛动(NAO)、南方涛动指数(SOI)和西地中海涛动(WeMO)。我们发现黑松生长(RW)与生长季节前冬季的温度呈正相关。在所有变量中,LWBI 和 dBI 比 TRW 对低海拔点的 SPEI 更敏感,而 EWBI 序列包含相反的气候信号。LWBI 和 dBI 与高海拔点的 6 月和 9 月降水显著相关。冬季 VPD 与较高的 EWI 和 LWI 序列相关,而 dBI 和 EWBI 与 1 月 SOI 和 2 月 NAO 相关。我们证实了长期 dBI 序列重建干旱地区气候的潜力。这项在结合其他木材解剖学测量的新研究,对进一步利用 BI 来理解和重建地中海针叶林环境变化具有广泛的意义。