秦岭南麓华山松和油松气候变化响应与多情景模拟
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1.西北农林科技大学;2.陕西省汉中市汉台区武乡林场

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陕西省重点研发(2024SF-ZDCYL-05-07;2024SF-YBXM-547),国家重点研发计划(2024YFF1306505)


Climate change response and multi-scenario simulation of Pinus armandii and Pinus tabuliformis at the Southern Foothills of the Qinling Mountains
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1.Northwest A&2.F University

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Key R&D Project of Shaanxi Province (Grant No. 2024SF-ZDCYL-05-07, 2024SF-YBXM-547), National Key R&D Program(Grant No. 2024YFF1306505).

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    摘要:

    结合树木年轮学和Vaganov-Shashkin过程模型,系统解析秦岭南麓华山松(Pinus armandii)和油松(Pinus tabuliformis)径向生长在年、月、日尺度上的气候响应机制,并耦合CMIP6四种排放情景(SSP126, SSP245, SSP370, SSP585)预测其未来适应性,为森林可持续发展提供依据。结果表明:(1)研究区气温持续增加(P < 0.05),火地塘林区华山松在1971—2023年呈现显著上升的生长趋势(Slope = 0.003, P < 0.05),而武乡林区油松通过响应气温突变减缓衰退。(2)两树种响应呈现空间–种间分异:油松在武乡林区与前一年10月及当年3、9月气温正响应(P < 0.05),但受前年与当年9月降水抑制;火地塘油松则对当年4—8月气温正响应,而对前一年8、10月降水负响应。华山松响应模式差异更显著:武乡林区华山松受前一年6月气温与当年2、9月降水负调控,而火地塘华山松对当年9月降水显著正响应(P < 0.05)。(3)Vaganov-Shashkin模型表明:在5–9月生长季期间,华山松和油松的生长持续受到降水的限制。气温上升导致二者的生长季延长,武乡林区华山松则通过高效排水抵消水分胁迫显著延长生长季(0.33天/年,P < 0.05)。(4)未来情景下,华山松树轮指数至2064年预计增长4%(P < 0.05),其低水分需求阈值(W1 = 0.0079%)优于油松(W1 = 0.0397%)表现着对暖干化更好的适应性。本研究为秦岭人工林应对暖干化及实现“双碳”目标提供了基于生理过程的决策工具,可为类似气候区树种适应性研究提供参考。

    Abstract:

    The study combines dendrochronology and the Vaganov-Shashkin process model to systematically analyze the climate response mechanisms of radial growth in Pinus armandii and Pinus tabuliformis at the southern foothills of the Qinling Mountains at annual, monthly, and daily scales. It also integrated with four CMIP6 scenarios (SSP126, SSP245, SSP370, SSP585) to predict their future adaptability, providing a basis for the sustainable development of forests. The results showed: (1) With a continuous increase in temperature (P < 0.05) in the study area, Pinus armandii in the Huoditang Forest District showed a significant upward growth trend from 1971—2023 (Slope = 0.003, P < 0.05), while Pinus tabuliformis in Wuxiang Forest District slowed down its decline by responding to the sudden change in temperature. (2) The responses of the two species showed spatial-interspecific divergence: Pinus tabuliformis in the Wuxiang Forest District responded positively (P < 0.05) to the air temperature in October of the previous year and March and September of the current year, but was suppressed by precipitation in September of the previous and current year, while Pinus tabuliformis in Huoditang Forest District responded positively to the air temperature in April-August of the current year, and negatively to the precipitation in August and October of the previous year. The differences in response patterns of Pinus armandii were even more significant: Pinus armandii in Wuxiang Forest District was negatively regulated by the temperature in June of the previous year and precipitation in February and September of the current year, while Pinus armandii in Huoditang Forest District responded significantly positively (P < 0.05) to precipitation in September of the current year. (3) The Vaganov-Shashkin model indicated that Pinus armandii and Pinus tabuliformis were continuously limited by precipitation during the May-September growing season, that increasing temperatures resulted in a longer growing season for both, and that Pinus armandii in Wuxiang Forest District significantly lengthened the growing season by efficiently mitigating water stress through improved drainage (0.33 days/year, P < 0.05). (4) Under future scenarios, the tree ring index of Pinus armandii is projected to increase by 4% (P < 0.05) by 2064, with its lower water demand threshold (W1 = 0.0079%) outperforming that of Pinus tabuliformis (W1 = 0.0397%), demonstrating superior adaptability to warming-drying conditions. This study provides a physiological process-based decision-making tool for the Qinling Mountains planted forests to cope with warming-drying trends and to achieve carbon peaking and carbon neutrality goals. It can be used as a reference for studying tree species adaptation in similar climatic zones.

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刘昶,蔡志同,鲁艺,田利军,邹林波,顾丽.秦岭南麓华山松和油松气候变化响应与多情景模拟.生态学报,,(). http://dx. doi. org/[doi]

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