Wang Huaxiang, Tian Dian, Cao Jizhao, Ren Shiqi, Zhu Yuanli, Wang Huili, Wu Lichao, Chen Lijun
Key Laboratory of Soil and Water Conservation and Desertification Combating of Hunan Province, Central South University of Forestry and Technology, Changsha 410004, China.
Key Laboratory of Cultivation and Protection for Non-Wood Forest Trees, Ministry of Education, Central South University of Forestry and Technology, Changsha 410004, China.
J Fungi (Basel). 2024 Oct 11;10(10):709. doi: 10.3390/jof10100709.
The growing recognition of mixed and native broadleaf plantations as a means of offsetting the detrimental impacts of pure plantations on soil fertility and the wider ecological environment is accompanied by a clear and undeniable positive impact on forest ecosystem functions. Nevertheless, the question of how mixed and native broadleaf plantations enhance soil multifunctionality (SMF) and the mechanisms driving soil fungal communities remains unanswered. In this study, three types of mixed and native broadleaf plantations were selected and compared with neighboring evergreen broadleaf forests and pure plantations. SMF was quantified using 20 parameters related to soil nutrient cycling. Partial least squares path modeling (PLS-PM) was employed to identify the key drivers regulating SMF. The findings of this study indicate that mixed and native broadleaf plantations significantly enhance SMF. Mixed and native broadleaf plantations led to improvements in soil properties (7.60-52.22%), enzyme activities (10.13-275.51%), and fungal community diversity (1.54-29.5%) to varying degrees compared with pure plantations. Additionally, the mixed plantations exhibit enhanced connectivity and complexity in fungal co-occurrence networks. The PLS-PM results reveal that soil properties, fungal diversity, and co-occurrence network complexity directly and positively drive changes in SMF. Furthermore, soil properties exert an indirect influence on SMF through their impact on fungal diversity, species composition, and network complexity. The findings of this study highlight the significant role of mixed and native broadleaf plantations in enhancing SMF through improved soil properties, fungal diversity, and co-occurrence network complexity. This indicates that incorporating native broadleaf species into plantations can effectively mitigate the negative impacts of monoculture plantations on soil health and ecosystem functionality. In conclusion, our study contributes to the understanding of how mixed plantations influence SMF, offering new insights into the optimization of forest management and ecological restoration strategies in artificial forest ecosystems.
混交和原生阔叶林人工林作为抵消纯人工林对土壤肥力和更广泛生态环境不利影响的一种手段,越来越受到认可,同时对森林生态系统功能产生了明显且不可否认的积极影响。然而,混交和原生阔叶林人工林如何增强土壤多功能性(SMF)以及驱动土壤真菌群落的机制仍未得到解答。在本研究中,选择了三种类型的混交和原生阔叶林人工林,并与邻近的常绿阔叶林和纯人工林进行比较。使用与土壤养分循环相关的20个参数对SMF进行量化。采用偏最小二乘路径模型(PLS-PM)来识别调节SMF的关键驱动因素。本研究结果表明,混交和原生阔叶林人工林显著增强了SMF。与纯人工林相比,混交和原生阔叶林人工林在不同程度上改善了土壤性质(7.60 - 52.22%)、酶活性(10.13 - 275.51%)和真菌群落多样性(1.54 - 29.5%)。此外,混交人工林在真菌共现网络中表现出更高的连通性和复杂性。PLS-PM结果表明,土壤性质、真菌多样性和共现网络复杂性直接且积极地驱动SMF的变化。此外,土壤性质通过对真菌多样性、物种组成和网络复杂性的影响,对SMF产生间接影响。本研究结果突出了混交和原生阔叶林人工林在通过改善土壤性质、真菌多样性和共现网络复杂性来增强SMF方面的重要作用。这表明将原生阔叶树种纳入人工林可以有效减轻单一栽培人工林对土壤健康和生态系统功能的负面影响。总之,我们的研究有助于理解混交人工林如何影响SMF,为人工林生态系统中森林管理和生态恢复策略的优化提供了新的见解。