根际细菌可以对其寄主植物产生广泛的影响,影响植物生化和结构特征,和整体生产力。植物-微生物相互作用的意义为通过外源调节土壤微生物群落干扰农业生态系统提供了机会。因此,如何以低成本有效地预测土壤细菌群落成为现实需求。这里,我们假设叶面光谱性状可以预测果园生态系统中细菌群落的多样性。我们通过研究延庆桃园的叶面光谱性状与土壤细菌群落之间的生态联系来检验这一假设,2020年北京。叶面光谱指数与α细菌多样性和丰富的属密切相关,可以促进土壤养分转化和利用。如链球菌,Solirubrobacter,和鞘氨醇单胞菌在果实成熟期。某些未鉴定或相对丰度<1%的属也与叶面光谱性状有关。我们选择了特定的指标(光化学反射指数,归一化差异蔬菜指数,绿色指数,和优化的土壤调整植被指数)的叶面光谱指数,细菌群落的α和β多样性,并通过SEM量化了叶面光谱性状与地下细菌群落之间的关系。这项研究的结果表明,叶面光谱性状可以有力地预测地下细菌多样性。用易于获取的叶面光谱指数表征植物属性,为解开复杂的植物-微生物关系提供了新思路,这可以更好地应对降低的功能属性(生理,生态,和生产性状)在果园生态系统中。
Rhizosphere bacteria can have wide-ranging effects on their host plants, influencing plant biochemical and structural characteristics, and overall productivity. The implications of plant-microbe interactions provides an opportunity to interfere agriculture ecosystem with exogenous regulation of soil microbial community. Therefore, how to efficiently predict soil bacterial community at low cost is becoming a practical demand. Here, we hypothesize that foliar spectral traits can predict the diversity of bacterial community in orchard ecosystem. We tested this hypothesis by studying the ecological linkages between foliar spectral traits and soil bacterial community in a peach orchard in Yanqing, Beijing in 2020. Foliar spectral indexes were strongly correlated with alpha bacterial diversity and abundant genera that can promote soil nutrient conversion and utilization, such as Blastococcus, Solirubrobacter, and Sphingomonas at fruit mature stage. Certain unidentified or relative abundance <1% genera were also associated with foliar spectral traits. We selected specific indicators (photochemical reflectance index, normalized difference vegetable index, greenness index, and optimized soil-adjusted vegetation index) of foliar spectral indexes, alpha and beta diversities of bacterial community, and quantified the relations between foliar spectral traits and belowground bacterial community via SEM. The results of this
study indicated that foliar spectral traits could powerfully predict belowground bacterial diversity. Characterizing plant attributes with easy-accessed foliar spectral indexes provides a new thinking in untangling the complex plant-microbe relationship, which could better cope with the decreased functional attributes (physiological, ecological, and productive traits) in orchard ecosystem.