Dataset List

Vol.|Area

No.11 Vol.11,2024
No.10 Vol.11,2024
No.09 Vol.11,2024
No.08 Vol.11,2024
No.07 Vol.11,2024
No.06 Vol.11,2024
No.05 Vol.11,2024
No.04 Vol.11,2024
No.03 Vol.11,2024
No.02 Vol.11,2024
No.01 Vol.11,2024
No.12 Vol.10,2023
No.11 Vol.10,2023
No.10 Vol.10,2023
No.09 Vol.10,2023
No.08 Vol.10,2023
No.07 Vol.10,2023
No.06 Vol.10,2023
No.05 Vol.10,2023
No.04 Vol.10,2023
No.03 Vol.10,2023
No.02 Vol.10,2023
No.01 Vol.10,2023
No.12 Vol.9,2022
No.11 Vol.9,2022
No.10 Vol.9,2022
No.09 Vol.9,2022
No.08 Vol.9,2022
No.07 Vol.9,2022
No.06 Vol.9,2022
No.05 Vol.9,2022
No.04 Vol.9,2022
No.03 Vol.9,2022
No.02 Vol.9,2022
No.01 Vol.9,2022
No.12 Vol.8,2021
No.11 Vol.8,2021
No.10 Vol.8,2021
No.09 Vol.8,2021
No.08 Vol.8,2021
No.07 Vol.8,2021
No.06 Vol.8,2021
No.05 Vol.8,2021
No.04 Vol.8,2021
No.03 Vol.8,2021
No.03 Vol.8,2021
No.02 Vol.8,2021
No.01 Vol.8,2021
No.09 Vol.7,2020
No.08 Vol.7,2020
No.07 Vol.7,2020
No.06 Vol.7,2020
No.05 Vol.7,2020
No.04 Vol.7,2020
No.03 Vol.7,2020
No.02 Vol.7,2020
No.01 Vol.7,2020
No.06 Vol.6,2019
No.05 Vol.6,2019
No.04 Vol.6,2019
No.03 Vol.6,2019
No.02 Vol.6,2019
No.01 Vol.6,2019
No.08 Vol.5,2018
No.07 Vol.5,2018
No.06 Vol.5,2018
No.05 Vol.5,2018
No.04 Vol.5,2018
No.03 Vol.5,2018
No.02 Vol.5,2018
No.01 Vol.5,2018
No.04 Vol.4,2017
No.03 Vol.4,2017
No.02 Vol.4,2017
No.01 Vol.4,2017
No.09 Vol.3,2016
No.08 Vol.3,2016
No.07 Vol.3,2016
No.06 Vol.3,2016
No.05 Vol.3,2016
No.04 Vol.3,2016
No.03 Vol.3,2016
No.02 Vol.3,2016
No.01 Vol.3,2016
No.02 Vol.2,2015
No.01 Vol.2,2015
No.02 Vol.1,2014
No.01 Vol.1,2014
China
Asia
Oceanic region
African
European
North American
South American
Arctic
Global Scale
Data Details

Reconstruction Dataset of Yearly September-October Mean Temperature from Tree-ring Maximum Latewood Density of Abies delavayi Franch. at Northwest Yunnan Province of China (1678-2019)


DENG Guofu1,2LI Mingqi*1
1 Key Laboratory of Land Pattern and Simulation，Institute of Geographic Science and Natural ResourcesResearch，Chinese Academy of Sciences，Beijing 100101，China2 University of Chinese Academy of Sciences，Beijing 100049，China

DOI:10.3974/geodb.2022.04.03.V1

Published:Apr. 2022

Visitors：6743       Data Files Downloaded：47      
Data Downloaded：2.41 MB      Citations：

Key Words：

Northwest Yunnan Province,maximum latewood density,Abies delavayi Franch.,temperature reconstruction,1678-2019

Abstract：

Tree-ring cores were collected from Abies delavayi Franch. in November of 2012 and 2019 in Gongshan Dulong and Nu Autonomous County, Yunnan Province (98.4811°E, 27.7835°N, 3245 m). The X-ray method was used to obtain density data. The normalization and detruding of raw data were processed by the ARSTAN program, in which a 67% cubic smoothing spine with a 50% cut off frequency was used to fit growth trend. The maximum latewood density (MXD) of 51 cores from 27 trees was selected for establishing a chronology of 1678-2019. Based on the correlations between MXD and climate variables, we found the residual chronology of MXD showed the strongest correlation with September-October mean temperature (T9–10). Thus, we established transfer function with a linear regression model to reconstruct the history of T9–10 during the past 342 years (1678-2019), with explained variance of 33% during instrumental period. The results of Leave-One-Out Cross Validation showed that the robust of the reconstruction with the reduction of error reaching to 0.29. Furthermore, the temperature series positively correlated with other reconstructions in the surrounding areas with correlation coefficients of 0.458-0.526. The dataset includes: (1) geographic information of sampling site; (2) statistical characteristics of tree-ring cores; (3) the residual chronology of MXD for A. delavayi and its reconstructed series of T9–10; (4) the tree-ring residual chronology statistics of MXD for A. delavayi; and (5) the temperature data used for reconstruction. The dataset is archived in .shp and .xlsx data formats, and consists of 7 data files with data size of 56.5 KB (Compressed to one single file with 52.5 KB).Browse

Foundation Item：

National Natural Science Foundation of China (41977391, 41630529, 41571194); Ministry of Science and Technology of P. R. China (2017YFA0603302)；

Data Citation：

DENG Guofu, LI Mingqi*. Reconstruction Dataset of Yearly September-October Mean Temperature from Tree-ring Maximum Latewood Density of Abies delavayi Franch. at Northwest Yunnan Province of China (1678-2019)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2022. https://doi.org/10.3974/geodb.2022.04.03.V1.

DENG Guofu, LI Mingqi. Q. Establishment of a yearly September-October mean temperature dataset during 1678-2019 in northwest Yunnan province, China [J]. Journal of Global Change Data & Discovery, 2022, 6(3): 330-338.

References：

[1] Li, M. Q., Huang, L., Yin, Z. Y., et al. Temperature reconstruction and volcanic eruption signal from tree-ring width and maximum latewood density over the past 304 years in the southeastern Tibetan Plateau [J]. International Journal of Biometeorology, 2017, 61(11): 2021-2032.
     [2] Fan, Z. X., Brauning, A., Yang, B., et al. Tree ring density-based summer temperature reconstruction for the central Hengduan Mountains in southern China [J]. Global and Planetary Change, 2009, 65(1-2): 1-11.
     [3] Li, M. Y., Wang, L., Fan, Z. X., et al. Tree-ring density inferred late summer temperature variability over the past three centuries in the Gaoligong Mountains, southeastern Tibetan Plateau [J]. Palaeogeography Palaeoclimatology Palaeoecology, 2015, 422: 57-64.
     [4] Yin, H., Li M. Y., Huang, L. Summer mean temperature reconstruction based on tree-ring density over the past 440 years on the eastern Tibetan Plateau [J]. Quaternary International, 2021, 571: 81-88.
     [5] Duan, J. P., Ma, Z. G., Li, L., et al. August-September temperature variability on the Tibetan Plateau: past, present and future [J]. Journal of Geophysical Research: Atmospheres, 2019, 124(12): 6057-6068.
     [6] Martinez-Sancho, E., Slamova, L., Morganti, S., et al. The GenTree Dendroecological Collection, tree-ring and wood density data from seven tree species across Europe [J]. Scientific Data, 2020, 7(1): 1.
     [7] Wang, L., Duan, J. P., Chen, J., et al. Temperature reconstruction from tree-ring maximum density of Balfour spruce in eastern Tibet, China [J]. International Journal of Climatology, 2010, 30(7): 972-979.
     [8] Duan, J. P., Zhang, Q. B. A 449 year warm season temperature reconstruction in the southeastern Tibetan Plateau and its relation to solar activity [J]. Journal of Geophysical Research: Atmospheres, 2014, 119(20): 11,578-11,592.
     [9] Xing, P., Zhang, Q. B., Lv L. X. Absence of late-summer warming trend over the past two and half centuries on the eastern Tibetan Plateau [J]. Global and Planetary Change, 2014, 123: 27-35.
     [10]Yin, H., Liu, H. B., Linderholm H. W., et al. Tree ring density-based warm-season temperature reconstruction since A.D. 1610 in the eastern Tibetan Plateau [J]. Palaeogeography, Palaeoclimatology, Palaeoecology, 2015, 426: 112-120.
     [11] Liang, H. X., Lyu, L. X., Wahab M. A 382-year reconstruction of August mean minimum temperature from tree-ring maximum latewood density on the southeastern Tibetan Plateau, China [J]. Dendrochronologia, 2016, 37: 1-8.
     [12] Li, M. Y., Duan, J. P., Wang L., et al. Late summer temperature reconstruction based on tree-ring density for Sygera Mountain, southeastern Tibetan Plateau [J]. Global and Planetary Change, 2018, 163: 10-17.
     [13] Cook, E. R., Briffa, K. R., Jones P. D. Spatial regression methods in dendroclimatology: A review and comparison of two techniques [J]. International Journal of Climatology, 1994, 14(4): 379-402.
     [14] Cook, E. R., Kairiukstis, L. A. Methods of Dendrochronology [M]. Dordrecht, Netherlands: Springer Netherlands, 1990: 40-61.
     

Data Product:

ID Data Name Data Size Operation
0Datapaper_MeanTemp9-10nwYunnan1678-2019.pdf4999.00kbDownLoad
1 MeanTemp9-10nwYunnan1678-2019.rar 52.56KB
Co-Sponsors
Superintend