Zhang Ying, Xu Qing, Zhang Beibei, Gao Deqiang, Wang Ting, Xu Wenbin, Ren Ranran, Wang Silong
Key Laboratory of Forest Ecology and Environment of National Forestry and Grassland Administration, Ecology and Nature Conservation Institute, Chinese Academy of Forestry, Beijing, China.
Huitong Experimental Station of Forest Ecology, Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang, China.
Front Plant Sci. 2022 Sep 15;13:946508. doi: 10.3389/fpls.2022.946508. eCollection 2022.
Plantation cultivation plays an important role in improving terrestrial ecosystem functions and services. Understanding the water-use patterns of major afforestation species is vital for formulating ecological restoration strategies and predicting the response of plantation to climate change. However, the impacts and drivers of forest types on water-use patterns of key tree species are poorly understood. Here, the combined methods of dual stable isotope of D and O and Bayesian mixed framework (MixSIAR) were employed to investigate the water-use patterns of (Chinese fir) in a monoculture, mixed forest with , and mixed forest with under different rainfall events in subtropical China. Furthermore, the relative contribution of different soil and plant factors to the water-use patterns of Chinese fir was quantified using a random forest model. Our results showed that Chinese fir in the mixed forests (with or with ) utilized less water from shallow soil compared to that in a monoculture but significantly improved the proportion of water absorbed from deep soil with the increase of 55.57%-64.90% and 68.99%-108.83% following moderate and heavy rainfall events, respectively. The most important factors contributing to the differences in water-use patterns of Chinese fir among monoculture and mixed forests were tree attributes (i.e., leaf biomass, eco-physiological regulation, and fine root biomass). These findings reveal that Chinese fir in mixed forests could optimize water-use patterns by adjusting plant properties for interspecific niche complementarity, improving the utilization of deep soil water. Overall, this study suggests that mixed-species plantations could improve water-use efficiency and reduce the sensitivity of tree species to precipitation change, indicating they are better able to cope with expected climate variability.
人工林种植在改善陆地生态系统功能和服务方面发挥着重要作用。了解主要造林树种的水分利用模式对于制定生态恢复策略和预测人工林对气候变化的响应至关重要。然而,森林类型对关键树种水分利用模式的影响和驱动因素却知之甚少。在此,采用氘(D)和氧(O)的双稳定同位素以及贝叶斯混合框架(MixSIAR)相结合的方法,研究了中国亚热带地区不同降雨事件下,杉木纯林、杉木与木荷混交林以及杉木与马尾松混交林中杉木的水分利用模式。此外,利用随机森林模型量化了不同土壤和植物因素对杉木水分利用模式的相对贡献。我们的研究结果表明,与纯林相比,混交林(与木荷或与马尾松混交)中的杉木从浅层土壤中利用的水分较少,但在中雨和大雨事件后,从深层土壤中吸收的水分比例分别显著提高了55.57%-64.90%和68.99%-108.83%。导致杉木在纯林和混交林之间水分利用模式差异的最重要因素是树木属性(即叶片生物量、生态生理调节和细根生物量)。这些发现表明,混交林中的杉木可以通过调整植物特性以实现种间生态位互补,优化水分利用模式,提高深层土壤水分的利用率。总体而言,本研究表明混交人工林可以提高水分利用效率,降低树种对降水变化的敏感性,表明它们更能应对预期的气候变异性。