Wu Lu, Liu Hongyan, Liang Boyi, Zhu Xinrong, Cao Jing, Wang Qiuming, Jiang Lubing, Cressey Elizabeth L, Quine Timothy A
College of Urban and Environmental Science and MOE Laboratory for Earth Surface Processes, Peking University, Beijing, China.
College of Urban and Environmental Science and MOE Laboratory for Earth Surface Processes, Peking University, Beijing, China.
Sci Total Environ. 2022 Feb 1;806(Pt 3):151324. doi: 10.1016/j.scitotenv.2021.151324. Epub 2021 Oct 30.
Due to the influence of climate change and extensive grazing, a large proportion of steppe grassland has been degraded worldwide. The Chinese government initiated a series of grassland restoration programs to reverse the degradation. However, the limiting factors and the restoration potential remain unknown. Here we present a process-based model to assess the restoration gap (RG) defined as maximum biomass differences between non-degraded and degraded grasslands with different degrees of soil and vegetation degradation. The process-based model Agricultural Production Systems Simulator (APSIM) was evaluated utilizing observation data from both typical and meadow steppes under natural conditions in terms of phenology, dynamics of above-ground biomass and soil water content. Scenario analysis and sensitivity analysis were subsequently performed to address the RG and controlling factors during 1969-2018. The results showed that the calibrated model performed well with r > 0.75 and model efficiency factor EF > 0.5 for all the simulation components. According to our model results, the RG was larger in typical steppe compared to that of meadow steppe and it increased with increasing soil and/or vegetation degradation, to ~60% under extremely degraded scenarios. Both soil and vegetation degradation led to reduced water use efficiency, with an elevated proportion of soil evaporation to evapotranspiration (Es/ET), however, the limiting factor for RG varied. The degradation of soil water holding capacity contributed more to RG regardless of climate conditions for typical steppe in all years and for meadow steppe in dry years. In wet years the importance of vegetation coverage reduction increased for RG in meadow steppe, where the relative importance of vegetation coverage (valued at 62.8%) was 25.6% higher than that of soil degradation. Our results demonstrated the importance of considering climate variations when developing protection and restoration programs for grassland ecosystems.
由于气候变化和过度放牧的影响,全球大部分草原已经退化。中国政府启动了一系列草原恢复项目以扭转这种退化局面。然而,限制因素和恢复潜力仍然未知。在此,我们提出一个基于过程的模型来评估恢复差距(RG),该恢复差距定义为不同程度土壤和植被退化的非退化草原与退化草原之间的最大生物量差异。利用典型草原和草甸草原在自然条件下的物候、地上生物量动态和土壤含水量的观测数据,对基于过程的农业生产系统模拟器(APSIM)模型进行了评估。随后进行了情景分析和敏感性分析,以探讨1969 - 2018年期间的恢复差距及控制因素。结果表明,校准后的模型表现良好,所有模拟组件的相关系数r > 0.75,模型效率因子EF > 0.5。根据我们的模型结果,典型草原的恢复差距比草甸草原更大,并且随着土壤和/或植被退化程度的增加而增大,在极端退化情景下达到约60%。土壤和植被退化均导致水分利用效率降低,土壤蒸发占蒸散量(Es/ET)的比例升高,然而,恢复差距的限制因素各不相同。无论气候条件如何,土壤持水能力的退化对典型草原全年以及干旱年份草甸草原的恢复差距贡献更大。在湿润年份,草甸草原植被覆盖度降低对恢复差距的重要性增加,其中植被覆盖度的相对重要性(取值为62.8%)比土壤退化高25.6%。我们的结果表明,在制定草原生态系统保护和恢复计划时考虑气候变化的重要性。