How to select climate data for calculating growth-climate correlation

Zhang, Xianliang; Manzanedo, Rubén D.; Xu, Chi; Hou, Meiting; Xuan-rui, Huang

doi:10.1007/s00468-021-02108-9

Cited by 5 publications

(1 citation statement)

References 24 publications

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“…A valid method was recommended for the growth-climate analysis in the regions located at the boundaries of the climate zones, i.e., taking temperature from the closest station but precipitation from the closest station within the same precipitation zone [42]. Considering that the spatial distance between the sample site and the nearby climate stations, and geographic direction could influence the correlation, the inverse distance weighted (IDW) method was used when calculating the average climate to reduce the correlation bias in growth-climate relationship analysis [15].…”

Section: Climate Datamentioning

confidence: 99%

The Radial Growth of Picea wilsonii Was More Restricted by Precipitation Due to Climate Warming on Mt. Guandi, China

Huang

Sun

Jiang

et al. 2021

Forests

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Transitional climate zones (TCZ) are characterized by instability due to rapid changes in climate and biological variables, and trees growing there are particularly sensitive to climate change. Therefore, knowledge about the shifted relationships of tree growth in response to climate warming will shape regional forest conservation and management strategies. China has experienced rapid warming in recent decades. However, how tree growth in semihumid to semiarid regions, such as the Guandi Mountains, responds to more sophisticated changes in the hydrothermal combination is not yet clear. In this study, we used tree-ring width data from three sites along an elevational gradient in the Guandi Mountains to present the response of Picea wilsonii Mast. radial growth to increasing temperature and elevational differences in the relationship between tree growth and climate. The results indicated that the Guandi Mountains have experienced rapid warming with a clear trend toward aridity. From 1959 to 1995, the radial growth of P. wilsonii was mainly influenced by temperature, while it was controlled by both temperature and precipitation after rapid warming in 1996. From 1959 to 2017, this species showed a generally consistent growth–climate relationship at different elevations in the Guandi Mountains. However, the radial growth of trees at higher elevations had a higher climatic correlation than at lower elevations, and it was more conditioned by higher summer temperatures and precipitation in December of the previous year. These results suggested that P. wilsonii was more susceptible to drought and high temperatures due to a warming climate and that more attention should be devoted to forest management, especially the adverse consequences of summer drought on P. wilsonii.

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Section: Climate Datamentioning

confidence: 99%