Extracting a paleotemperature record from Picea engelmannii tree-line sites in the central Canadian Rockies

Citation
S. St George et Bh. Luckman, Extracting a paleotemperature record from Picea engelmannii tree-line sites in the central Canadian Rockies, CAN J FORES, 31(3), 2001, pp. 457-470
Citations number
40
Categorie Soggetti
Plant Sciences
Journal title
CANADIAN JOURNAL OF FOREST RESEARCH-REVUE CANADIENNE DE RECHERCHE FORESTIERE
ISSN journal
00455067 → ACNP
Volume
31
Issue
3
Year of publication
2001
Pages
457 - 470
Database
ISI
SICI code
0045-5067(200103)31:3<457:EAPRFP>2.0.ZU;2-9
Abstract
A new network of 21 Picea engelmannii Parry ex Engelm. ring-width chronolog ies was developed from tree-line sites in the Canadian Rockies. These chron ologies range in length from 297 to 648 years (mean 423 years) and have mea n sensitivities between 0.16 and 0.20 (mean 0.18), first-order autocorrelat ions between 0.73 and 0.88 (mean 0.83), and subsample signal strengths >0.8 5 for 246-494 years (mean 324 years). Mean intersite correlations (A.D. 170 0-1982) for chronologies with expressed population signals >0.85 are 0.46 a nd 0.63 for standard and residual chronologies, respectively. Standard ring -width chronologies are, in general, positively correlated with summer temp eratures and negatively correlated with spring and previous summer temperat ures. A regional June-September temperature reconstruction for the Banff-Ja sper region (BJR; A.D. 1715-1982) was developed using multiple regression o f three significant principal components from 14 standard ring-width chrono logies. The first principal component contains 55% of the total chronology variance. The model reconstructs 38% of summer temperature variance during the calibration period (1888-1982). The BJR is the first regional temperatu re reconstruction for this area based on ring-width data from a network of sites. The reconstructed temperature patterns are broadly similar to other regional estimates of past temperatures. Above-average summer temperatures occurred in the mid-20th century and the late 1700s - early 1800s. Most of the 19th century was unusually cold, with the coldest conditions in the lat e 19th century. Detailed differences between BJR and previously developed r econstructions lie well within 2 sigma confidence limits and may reflect di fferences in tree species, modelling techniques, spatial coverage, and the seasonal temperature parameter reconstructed.