Abstract
As climate change intensifies, finding an ecological indicator to quickly and accurately reflect the impact on mountain ecosystems is necessary. The low treeline/timberline, highly sensitive to climate variability and changes significantly within 5–10 years, provides a new way to study the response to regional climate variability. This study explored the distribution and vertical displacement patterns of the low treeline in the Upper Minjiang River of China, using SPOT remote sensing images in 1999 and 2013 and long-term positional observations. Using the Geodetector model, the study investigated the dominant climatic factors influencing the low treeline displacement. The results showed that the low treeline was located at 1700–3200 m elevation on sunny slopes (southeast, south, southwest, and west slopes) with slopes over 25°. From 1999 to 2013, the low treeline moved downward by 6 m from 2561±264 m to 2555±265 m, along with a warm–humid climate tendency. The downward displacement was greater on slopes over 25° and shady slopes (−20 m and −10 m, respectively) than on slopes ≤ 25° and sunny slopes. Additionally, the downward was greater in the warm and humid Zagunao River Basin (−15 m) compared to the arid valley center (−7 m) and the cold Heishui River Basin (−3 m). Meanwhile, the low treeline displacement correlated negatively with precipitation and relative humidity variations at the significance level of 0.05, with correlation coefficients of −0.572 and −0.551, respectively. Variations in relative humidity and temperature significantly affected the spatial differentiation of low treeline displacement with influencing power of 0.246 (p =0.036 < 0.05) and 0.183 (p =0.032 < 0.05), respectively. Thus, the low treeline is a moisture-limited line, and its formation and variation are closely related to regional water–heat balance. The study clarifies the indicative value of the low treeline for climate variability in mountain areas and can provide references for ecological restoration in arid valleys.
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Availability of Data/Materials: The datasets generated during this study are available from the corresponding author upon reasonable request and within the framework of cooperation agreements and scientific research projects.
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The research was funded by the Natural Science Foundation of Southwest University of Science and Technology (18zx7117) and the National Science and Technology Support Program of China (2015BAC05B05-01).
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YAN Wei-po: Methodology, Data curation, Visualization, Writing-original draft, Writing-review & editing, Supervision. WANG Qing: Investigation, Conceptualization, Supervision. GUO Ya-lin: Investigation, Methodology, Visualization, Supervision. HU Qi: Investigation, Visualization. YANG Min: Visualization. AN Yi-da: Investigation, Data curation.
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Yan, Wp., Wang, Q., Guo, Yl. et al. Indicator of climate variability: low treeline displacement in arid valleys of mountain areas, China. J. Mt. Sci. 20, 3250–3265 (2023). https://doi.org/10.1007/s11629-023-8392-z
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DOI: https://doi.org/10.1007/s11629-023-8392-z