不同波段树轮图像对气候要素的响应

doi:10.13287/j.1001-9332.202502.009

摘要/Abstract

摘要： 为深入挖掘树轮蕴含的气候信号,本文以神农架地区金猴岭(海拔2564 m)和太子垭(海拔2494 m)的巴山冷杉为研究对象,使用CooRecorder软件提取树轮红光强度、绿光强度和蓝光强度,采用Age-dependent spline进行巴山冷杉树轮红光强度、绿光强度和蓝光强度的生长趋势拟合并建立年表,分析树轮年表与1953—2020年气候要素的相关关系。结果表明: 金猴岭巴山冷杉树轮早材红、绿、蓝3个波段与6月平均最高气温、平均气温和平均最低气温呈显著正相关;太子垭巴山冷杉树轮早材3个波段与6月平均最高气温呈显著正相关,与3月降水呈显著负相关。金猴岭巴山冷杉树轮晚材红、绿、蓝3个波段与6、7、8月平均最高气温,7、8月平均气温和平均最低气温呈显著正相关,与7月降水量呈显著负相关;太子垭巴山冷杉树轮晚材红、绿、蓝3个波段与8月平均最高气温、平均气温和平均最低气温呈显著正相关,与8月降水呈显著负相关。树轮红、绿、蓝3个波段对气候要素的响应多具有随波长变化而呈现规律性变化的趋势,但这种变化趋势并不一致。

关键词: 巴山冷杉, 树轮, 波段, 气候响应

Abstract: To deeply explore the climate signals contained in tree rings, we extracted red, green, and blue light intensities from the tree rings of Abies fargesii in the Jinhouling (altitude: 2564 m) and Taiziya (altitude: 2494 m) areas of Shennongjia, using the CooRecorder software. With an age-dependent spline, we fitted the growth trends, established chronologies, and analyzed the correlation between tree ring chronology and climate factors from 1953 to 2020. The results showed that the red, green, and blue light intensities of earlywood of trees from Jinhouling showed a significant positive correlation with mean maximum temperature, mean temperature, and mean minimum temperature in June. In Taiziya, the red, green, and blue intensities of earlywood was significantly positively correlated with the mean maximum temperature in June and significantly negatively correlated with March precipitation. In Jinhouling, latewood red, green, and blue light intensities showed significant positive correlation with mean maximum temperature of June, July and August, as well as with mean temperature and mean minimum temperature in July and August, and significant negative correlations with July precipitation. In Taiziya, latewood red, green and blue light intensities were significantly positively correlated with mean maximum temperature, mean temperature, and mean minimum temperature in August and negatively correlated with August precipitation. The responses of the red, green, and blue bands of tree rings to climate factors often showed a regular trend of variation with wavelength changes, but the trends varied across different bands.

Key words: Abies fargesii; tree ring; band; climate response

苏绮华, 郑永宏, 胡正生, 廖慧慧, 陆呈瑜. 不同波段树轮图像对气候要素的响应[J]. 应用生态学报, 2025, 36(2): 403-410.

SU Qihua, ZHENG Yonghong, HU Zhengsheng, LIAO Huihui, LU Chengyu. Response of tree-ring images in different bands to climatic factors.[J]. Chinese Journal of Applied Ecology, 2025, 36(2): 403-410.

参考文献

[1] Rydval M, Larsson L, McGlynn L, et al. Blue intensity for dendroclimatology: Should we have the blues? Experiments from Scotland. Dendrochronologia, 2014, 32: 191-204
[2] Fuentes M, Salo R, Björklund J, et al. A 970-year-long summer temperature reconstruction from Rogen, west-central Sweden, based on blue intensity from tree rings. The Holocene, 2018, 28: 254-266
[3] Reid E, Wilson R. Delta blue intensity vs. maximum density: A case study using Pinus uncinata in the Pyrenees. Dendrochronologia, 2020, 61: 125706
[4] Blake SAP, Palmer JG, Björklund J, et al. Palaeoclimate potential of New Zealand Manoao colensoi (silver pine) tree rings using Blue-Intensity (BI). Dendrochronologia, 2020, 60: 125664
[5] Buckley BM, Hansen KG, Griffin KL, et al. Blue intensity from a tropical conifer’s annual rings for climate reconstruction: An ecophysiological perspective. Dendrochronologia, 2018, 50: 10-22
[6] Zheng Y, Shen H, Abernethy R, et al. Experiments of the efficacy of tree ring blue intensity as a climate proxy in central and western China. Biogeosciences, 2023, 20: 3481-3490
[7] 陈平, 曹新光, 白毛伟, 等. 内蒙古东南地区落叶松晚材蓝光强度对气候因子的响应. 亚热带资源与环境学报, 2021, 16(1): 9-15
[8] Sheppard PR, Graumlich LJ, Conkey LE. Reflected-light image analysis of conifer tree rings for reconstructing climate. The Holocene, 1996, 6: 62-68
[9] McCarroll D, Pettigrew E, Luckman A, et al. Blue reflectance provides a surrogate for latewood density of high-latitude pine tree rings. Arctic, Antarctic, and Alpine Research, 2002, 34: 450-453
[10] Campbell R, McCarroll D, Loader NJ, et al. Blue intensity in Pinus sylvestris tree-rings: Developing a new palaeoclimate proxy. The Holocene, 2007, 17: 821-828
[11] Seftigen K, Fuentes M, Ljungqvist FC, et al. Using blue intensity from drought-sensitive Pinus sylvestris in Fennoscandia to improve reconstruction of past hydroclimate variability. Climate Dynamics, 2020, 55: 579-594
[12] 苑丹阳, 朱良军, 张远东, 等. 吉林老白山鱼鳞云杉树轮蓝光强度和轮宽指数与气候响应关系随海拔变化的对比. 植物生态学报, 2019, 43(12): 1061-1078
[13] Cao X, Fang K, Chen P, et al. Microdensitometric records from humid subtropical China show distinct climate signals in earlywood and latewood. Dendrochronologia, 2020, 64: 125764
[14] Cao X, Hu H, Kao PK, et al. Improved spring temperature reconstruction using earlywood blue intensity in southeastern China. International Journal of Climatology, 2022, 42: 6204-6220
[15] Camarero JJ, Rozas V, Olano JM. Minimum wood density of Juniperus thurifera is a robust proxy of spring water availability in a continental Mediterranean climate. Journal of Biogeography, 2014, 41: 1105-1114
[16] 郑永宏, 叶子阳, 陈城, 等. 神农架地区树轮蓝光强度对气候要素的响应. 生态学报, 2024, 44(14): 6165-6173
[17] Zheng Y, Wilson R. Tree ring blue intensity-based august temperature reconstruction for subtropical central China. Forests, 2024, 15: 1428
[18] 沈泽昊, 胡会峰, 周宇, 等. 神农架南坡植物群落多样性的海拔梯度格局. 生物多样性, 2004, 12(1): 99-107
[19] 张芳芳, 郑永宏, 潘国艳, 等. 神农架地区树轮δ¹⁸O序列的气候指示意义. 地理科学进展, 2018, 37(7): 946-953
[20] Dolgova E. June-September temperature reconstruction in the Northern Caucasus based on blue intensity data. Dendrochronologia, 2016, 39: 17-23
[21] Holmes RL. Computer-assisted quality control in tree-ring dating and measurement. Tree-ring Bulletin, 1983, 43: 69-78
[22] Chen Q, Yue W, Chen F, et al. Warm season temperature reconstruction in North China based on the tree-ring blue intensity of Picea meyeri. Journal of Geographical Sciences, 2023, 33: 2511-2529
[23] Li T, Li J. August temperature reconstruction based on tree-ring latewood blue intensity in the southeastern Tibetan Plateau. Forests, 2023, 14: 1441
[24] Wilson R, Anchukaitis K, Andreu-Hayles L, et al. Improved dendroclimatic calibration using blue intensity in the southern Yukon. The Holocene, 2019, 29: 1817-1830
[25] 侯鑫源, 史江峰, 李玲玲, 等. 湖北神农架巴山冷杉径向生长对气候的响应. 应用生态学报, 2015, 26(3): 689-696
[26] Heeter KJ, Harley GL, Maxwell JT, et al. Late summer temperature variability for the Southern Rocky Mountains (USA) since 1735 CE: Applying blue light intensity to low-latitude Picea engelmannii Parryex Engelm. Climatic Change, 2020, 165: 965-988
[27] Björklund J, Gunnarson BE, Seftigen K, et al. Using adjusted blue intensity data to attain high-quality summer temperature information: A case study from Central Scandinavia. The Holocene, 2015, 25: 547-556
[28] Linderholm HW, Björklund J, Seftigen K, et al. Fennoscandia revisited: A spatially improved tree-ring reconstruction of summer temperatures for the last 900 years. Climate Dynamics, 2014, 45: 933-947
[29] 郑泽煜, 靳立亚, 李金建, 等. 树轮记录的1808年以来神农架地区平均气温的变化. 第四纪研究, 2021, 41(2): 334-345
[30] Dang H, Zhang K, Zhang Y, et al. Tree-line dynamics in relation to climate variability in the Shennongjia Mountains, central China. Canadian Journal of Forest Research, 2009, 39: 1848-1858
[31] Yue W, Chen F, Torbenson MCA, et al. Late Ming Dynasty weak monsoon induced a harmonized megadrought across north-to-south China. Communications Earth & Environment, 2024, 5: 439
[32] 曹春福, 周非飞, 董志鹏, 等. 福建戴云山台湾松树轮-气候响应的线性和非线性模式研究. 亚热带资源与环境学报, 2016, 11(1): 44-51