首页|期刊导航|草业学报|日尺度下水热因子变化对呼伦贝尔草甸草原生产力的影响特征

日尺度下水热因子变化对呼伦贝尔草甸草原生产力的影响特征OA

Impacts of daily-scale hydrothermal factor variations on productivity of Hulun Buir meadow steppe

中文摘要英文摘要

为了探讨草原生态系统生产力对水热因子的响应机制,以呼伦贝尔草甸草原为研究对象,利用1990-2023年日尺度气温、降水数据与草地生产力观测数据,采用窗口设置,量化不同时间尺度水热波动特征,结合偏最小二乘回归(PLSR)模型,并通过逐步回归解析草地地上净初级生产力对水热因子的响应机制.结果表明:1)1990-2023年间,研究区年均气温与降水量分别以0.03℃·a-1和1.05 mm·a-1的速度上升,但草地地上净初级生产力(ANPP)显著下降(2.17 g·m-²·a-¹),相同窗口期降水比气温对ANPP的综合解释能力更强,表明暖干化导致水热失衡是生产力衰减的主因.2)识别出7月10-29日(R²=0.308)、9月12-21日(R²=0.206)降水关键期与9月10日-10月7日(R²=0.273)、6月30日-7月19日(R²=0.280)、4月23日-5月4日(R²=0.202)气温关键期,交互作用可解释79.5%的ANPP年际变异(P<0.001).3)冬季气温升高对ANPP产生微弱正效应(标准化回归系数β=0.0039~0.0057),但夏季降水主导机制更为显著.4)研究区域对短期水分波动的敏感性高于温度,水热因子在重叠期(如7月10-19日)虽存在协同效应,但无显著交互作用(方差膨胀因子,VIF>10).本研究量化了日尺度水热因子的动态响应过程,为半干旱区草地恢复提供了高分辨率管理窗口.

This study investigated the response mechanism of grassland ecosystem productivity to hydrothermal factors in the Hulun Buir meadow steppe.Using daily-scale air temperature and precipitation data and grassland productivity observation data from 1990 to 2023,the characteristics of water and heat fluctuations across different time scales were quantified through the application of a time-window approach.We utilized a partial least squares regression(PLSR)model and analyzed the response mechanisms of grassland aboveground net primary productivity(ANPP)to water and heat factors using stepwise regression.The results indicate that:1)Although the average annual air temperature and precipitation in the study area increased at rates of 0.03℃·yr-1 and 1.05 mm·yr-1,respectively,ANPP showed a significant decline(2.17 g·m-2·yr-1)during 1990-2023.Compared to air temperature,precipitation within the same temporal window has a stronger explanatory relationship with ANPP,indicating that the water-heat imbalance induced by warming and drying is the principal factor contributing to the decline in productivity.2)Critical periods were identified for both precipitation(July 10-29,R2=0.308;September 12-21,R2=0.206)and temperature(September 10-October 7,R2=0.273;June 30-July 19,R2=0.280;April 23-May 4,R2=0.202).The interaction between these hydrothermal factors accounted for 79.5%of the interannual variability in ANPP(P<0.001).3)Although winter warming has a weak effect on ANPP(standardized regression coefficients,β=0.0039-0.0057),summer precipitation plays a more decisive role in driving productivity dynamics.4)Short-term variations in water availability have a stronger influence on the study area than temperature fluctuations.While a synergistic response to hydrothermal factors is present during the overlapping period(such as July 10-19),no significant interaction between them was detected(variance inflation factor,VIF>10).This study quantitatively analyzes the dynamic responses of hydrothermal factors on a daily scale,providing a high-resolution management framework to support grassland restoration in semi-arid regions.

金磊;王彦平;那日苏;包永生;张敬超

呼伦贝尔市气象局,内蒙古 呼伦贝尔 021008呼伦贝尔市气象局,内蒙古 呼伦贝尔 021008内蒙古师范大学地理科学学院,内蒙古 呼和浩特 010022呼伦贝尔市气象局,内蒙古 呼伦贝尔 021008呼伦贝尔市气象局,内蒙古 呼伦贝尔 021008

日尺度水热因子草甸草原地上净初级生产力偏最小二乘回归关键窗口期

daily-scale hydrothermal factorsmeadow steppeaboveground net primary productivitypartial least squares regressioncritical temporal windows

《草业学报》 2026 (3)

1-12,12

国家自然科学基金(42461007)和内蒙古自治区自然科学基金(2024LHMS04012,2023QN04013)资助.

10.11686/cyxb2025159

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