Chin J Plan Ecolo ›› 2018, Vol. 42 ›› Issue (6): 629-639.doi: 10.17521/cjpe.2018.0003

• Research Articles • Previous Articles     Next Articles

Radial growth responses of Picea likiangensis to climate variabilities at different altitudes in Yulong Snow Mountain, southwest China

ZHANG Yun1,2,YIN Ding-Cai1,*(),TIAN Kun1,2,ZHANG Wei-Guo1,HE Rong-Hua3,HE Wen-Qing3,SUN Jiang-Mei3,LIU Zhen-Ya1,2   

  1. 1 National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China
    2 Yunnan Dianchi Lake Wetland Ecosystem National Observatory Station, Kunming 650224, China; and 3Administration of Yulong Snow Mountain Provincial Natural Reserve, Lijiang, Yunnan 674100, China
    3 Administration of Yulong Snow Mountain Provincial Natural Reserve, Lijiang, Yunnan 674100, China
  • Received:2018-01-03 Revised:2018-04-25 Online:2018-06-20 Published:2018-06-20
  • Contact: Ding-Cai YIN E-mail:yindingcai@126.com
  • Supported by:
    Supported by the National Natural Science Foundation of China(31600395);the Plateau Wetlands Science Innovation Team of Yunnan Province(2012HC007)

Abstract:

Aims The objective of this study was to determine the relationships between radial growth in Picea likiangensisand climate variables along an altitudinal gradient in Yulong Snow Mountain of southwest China.

Methods Tree-ring samples were collected at low (2898 m), intermediate (3309 m) and high (3639 m) altitudes in Yulong Snow Mountain. Residual chronologies were established by using the tree-ring width data. Relationships between the residual chronologies and climatic factors were determined by using response function analysis (RFA), redundancy analysis (RDA) and moving interval response analysis (MIRA).

Important findings The radial growth in P. likiangensis was influenced by both temperature and precipitation along an altitudinal gradient in Yulong Snow Mountain, but the seasonal response patterns varied with altitudes. It was significantly and positively correlated with precipitation from January through March of the current year at all the three altitudinal sites. The precipitation in post-growing season of the current year imposed a negative influence on radial growth at the sites of low and intermediate altitudes; whereas the effect was positive at the high altitude site. Spring drought of the current year was found to be another important factor affecting tree growth at the low and intermediate altitudes, while the current July temperature accelerated the radial growth at the high altitude. Results of RDA were generally consistent with that of RFA, indicating the effectiveness of RDA for quantifying the relationships between tree-ring width index and climatic factors. The results of MIRA indicated that variations in temperature and precipitation on a short-term scale also influenced tree growth. Based on the responses of tree growth to climate at the three altitudes and future climate predictions, the radial growth in P. likiangensis would likely be enhanced at the high altitude in the Yulong Snow Mountain, but the response patterns are uncertain at the low and intermediate altitudes.

Key words: southeastern margin of Qinghai-Xizang Plateau, dendrochronology, climate response, temperature, precipitation

Fig. 1

Meteorological data from the Lijiang Meteorological Station (1951-2010). PREC, precipitation; Tmean, monthly mean air temperature; Tmax, monthly maximum air temperature; Tmin, monthly minimum air temperature."

Table 1

Description of sampling sites"

采样点 Sampling site 经度 Longitude 纬度 Latitude 海拔 Altitude (m) 样本量(树/样芯) No. (tree/radii)
低海拔 Low altitude 100.25° E 27.13° N 2 898 27/53
中海拔 Intermediate altitude 100.23° E 27.11° N 3 309 35/70
高海拔 High altitude 100.22° E 27.10° N 3 639 31/62

Fig. 2

Residual tree-ring chronologies at the three sites. L, low altitude; M, intermediate altitude; H, high altitude."

Table 2

Statistics of ring-width chronologies and common interval analysis"

统计特征 Statistic characters L M H
样本量(树/样芯) Sample depth (tree/radii) 25/50 31/62 29/58
序列长度 Time span (A.D) 1925-2016 1889-2016 1945-2017
EPS > 0.85起始年/样芯数 Year since EPS > 0.85/cores 1964/11 1901/7 1957/11
平均敏感度 Mean sensitivity 0.28 0.17 0.16
公共区间(1967-2016)分析 Common interval analysis (1967-2016)
标准差 Standard deviation 0.23 0.16 0.14
信噪比 Signal-to-noise ratio 10.1 44.9 13.0
样本总体代表性 Expressed population signal 0.91 0.98 0.93
第一主成分方差解释量 Variance in first eigenvector (%) 41.44 49.09 40.55

Table 3

Correlation coefficients of the residual chronologies in Picea likiangensis among three sampling sites in Yulong Snow Mountain (1967- 2016)"

L M
M 0.629** -
H 0.177 0.435**

Fig. 3

Response function analysis between the residual chronologies and climatic factors (1952-2010). L, low altitude; M, intermediate altitude; H, high altitude. p, previous year; pPG , post-growing season of previous year; JM, January through March of the current year; EG , early growing season; G , growing season; PG , post-growing season. *, p < 0.05."

Fig. 4

Moving interval response analysis between the residual chronologies and main climatic factors. Dotted lines indicate the 95% confidence level. L, low altitude; M, intermediate altitude; H, high altitude."

Fig. 5

Redundancy analysis between climatic factors and residual chronologies (1952-2010). Only significant climatic factors (p < 0.05) are shown. The longer vector of climate factor indicates the greater contribution; correlation coefficients between the climatic factors and the chronologies are illustrated by the cosine of the angle between the two vectors. Vectors pointing in the same directions indicate a positive correlation, and in opposite directions indicate a negative correlation. Numbers represent the corresponding months, and T and P indicate the temperature and precipitation, respectively. L, low altitude; M, intermediate altitude; H, high altitude."

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