Warming-induced carbon loss via ecosystem respiration (R_e) is probably intensifying in the alpine grassland ecosystem of the Tibetan Plateau owing to more accelerated warming and the higher temperature sensitivity of R_e (Q₁₀). However-little is known about the patterns and controlling factors of Q₁₀ on the plateau, impeding the comprehension of the intensity of terrestrial carbon–climate feedbacks for these sensitive and vulnerable ecosystems. Here, we synthesized and analyzed multiyear observations from 14 sites to systematically compare the spatiotemporal variations of Q₁₀ values in diverse climate zones and ecosystems, and further explore the relationships between Q₁₀ and environmental factors. Moreover-structural equation modeling was utilized to identify the direct and indirect factors predicting Q₁₀ values during the annual-growing, and non-growing seasons. The results indicated that the estimated Q₁₀ values were strongly dependent on temperature- generally, with the average Q₁₀ during different time periods increasing with air temperature and soil temperature at different measurement depths (5 cm, 10 cm, 20 cm). The Q₁₀ values differentiated among ecosystems and climatic zones, with warming-induced Q₁₀ declines being stronger in colder regions than elsewhere based on spatial patterns. NDVI was the most cardinal factor in predicting annual Q₁₀ values, significantly and positively correlated with Q₁₀. Soil temperature (T_s) was identified as the other powerful predictor for Q₁₀, and the negative Q₁₀–T_s relationship demonstrates a larger terrestrial carbon loss potentiality in colder than in warmer regions in response to global warming. Note that the interpretations of the effect of soil moisture on Q₁₀ were complicated, reflected in a significant positive relationship between Q₁₀ and soil moisture during the growing season and a strong quadratic correlation between the two during the annual and non-growing season. These findings are conducive to improving our understanding of alpine grassland ecosystem carbon–climate feedbacks under warming climates.

在青藏高原高寒草原生态系统中，由于生态系统呼吸（R _e ）引起的变暖引起的碳损失可能正在加剧，因为变暖速度加快且R _e 的温度敏感性更高（问 ₁₀ ）。然而，人们对高原Q ₁₀ 的模式和控制因素知之甚少，这阻碍了对这些敏感和脆弱生态系统的陆地碳-气候反馈强度的理解。在这里，我们综合分析了14个站点的多年观测数据，系统比较了不同气候带和生态系统中Q ₁₀ 值的时空变化，并进一步探讨了Q ₁₀ 与环境的关系。因素。此外，利用结构方程模型确定了预测年度生长季和非生长季 Q ₁₀ 值的直接和间接因素。结果表明，估计的 Q ₁₀ 值强烈依赖于温度，一般来说，不同时间段的平均 Q ₁₀ 随着不同测量深度的气温和土壤温度的增加而增加（ 5 厘米、10 厘米、20 厘米）。 Q ₁₀ 值在生态系统和气候带之间存在差异，根据空间模式，变暖引起的 Q ₁₀ 下降在寒冷地区比其他地区更强。 NDVI 是预测年 Q ₁₀ 值的最重要因素，与 Q ₁₀ 显着正相关。 土壤温度 (T _s ) 被认为是 Q ₁₀ 的另一个强有力的预测因子，并且负 Q ₁₀ –T _s 关系表明由于全球变暖，较冷地区比较温暖地区的陆地碳损失潜力更大。请注意，土壤湿度对 Q ₁₀ 影响的解释很复杂，反映在生长季节 Q ₁₀ 与土壤湿度之间存在显着的正相关关系，并且 Q ₁₀ 与每年和非生长季节的两者。这些发现有助于提高我们对气候变暖下高寒草原生态系统碳-气候反馈的认识。