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    基于CASA模型的黄土高原植被生产力时空动态及其对气候因子的响应

    Spatiotemporal dynamics of vegetation productivity and its response to climate factors in the Loess Plateau based on the CASA model

    • 摘要:
      目的 黄土高原作为典型生态脆弱区,在全球气候变化和退耕还林还草工程实施20年的背景下,其植被净初级生产力(NPP)的演变规律与核心驱动机制尚不明晰。本研究聚焦NPP时空动态、气候响应及未来趋势,旨在为区域生态恢复的精准调控提供科学支撑。
      方法 基于Carnegie-Ames-Stanford Approach(CASA)模型估算2000—2020年黄土高原NPP,结合Theil-Sen趋势分析、Mann-Kendall显著性检验、Hurst指数及Pearson相关分析,系统探究NPP长时序时空演变特征及对气候因子的响应机制。
      结果 (1)黄土高原NPP年均值为318.49 g/(m2·a)(以C计,下同),在空间上呈东南高、西北低的分布格局,高值区集中于水热优越的山西南部、关中平原等地,低值区分布于干旱少雨的鄂尔多斯高原等地;(2)2000—2020年NPP整体呈显著上升趋势,年均增速为6.34 g/(m2·a),其中林地增速最快,为7.63 g/(m2·a),极显著增加区域占比60.77%,集中于陕北榆林、延安等退耕还林重点实施区,印证了生态工程的显著成效;(3)Hurst指数预测显示,61.08%区域NPP未来可能由上升转为下降,35.28%区域未来可能持续性上升;(4)降水是NPP增加的核心驱动因子,95%区域呈正相关,而气温对干旱区植被生长存在抑制作用,明晰了半干旱区气候驱动的区域分异规律。
      结论 黄土高原在退耕还林还草工程实施20年间植被恢复成效显著,未来需重点关注61.08%区域的生态逆转风险。本研究为区域生态恢复成效评估及适应性管理提供了科学依据,对于完善全球碳循环研究体系、推动区域可持续发展具有十分重要的意义。

       

      Abstract:
      Objective As a typical ecologically fragile area, the evolution law and core driving mechanism of vegetation net primary productivity in the Loess Plateau are not yet clear against the backdrop of global climate change and the implementation of the Grain for Green Project for 20 years. This study focuses on the spatiotemporal dynamics, climate response, and future trends of NPP, aiming to provide scientific support for precise regulation of regional ecological restoration.
      Method Based on the Carnegie Ames Stanford Approach model, the NPP of the Loess Plateau from 2000 to 2020 was estimated. Combining Theil Sen trend analysis, Mann Kendall significance test, Hurst exponent, and Pearson correlation analysis, the long-term spatiotemporal evolution characteristics of NPP and its response mechanism to climate factors were systematically explored.
      Result (1) The annual average value of NPP on the Loess Plateau is 318.49 g/(m2·a), which shows a spatial distribution pattern of high in the southeast and low in the northwest. The high-value areas are concentrated in areas such as southern Shanxi and the Guanzhong Plain with superior water and heat, while the low value areas are distributed in areas such as the arid and rainless Ordos Plateau. (2) From 2000 to 2020, the overall NPP showed a significant upward trend, with an average annual growth rate of 6.34 g/(m2·a). Among them, forest land had the fastest growth rate, at 7.63 g/(m2·a), with a highly significant increase in the proportion of regions accounting for 60.77%, concentrated in key implementation areas such as Yulin and Yan'an in northern Shaanxi, which confirms the significant effectiveness of ecological engineering. (3) The Hurst exponent prediction shows that 61.08% of the regions' NPP may shift from an upward trend to a downward trend in the future, and 35.28% of the regions may continue to rise in the future. (4) Precipitation is the core driving factor for NPP increase, with a positive correlation in 95% of regions, while temperature has an inhibitory effect on vegetation growth in arid areas, clarifying the regional differentiation patterns driven by climate in semi-arid regions.
      Conclusion The vegetation restoration on the Loess Plateau has achieved significant results in the implementation of the Grain for Green and Grassland Project for 20 years. In the future, special attention should be paid to the ecological reversal risk in 61.08% of the region. This study provides a scientific basis for the evaluation of regional ecological restoration effectiveness and adaptive management, and is of great significance for improving the global carbon cycle research system and promoting regional sustainable development.

       

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