Soil eDNA biomonitoring reveals changes in multitrophic biodiversity and ecological health of agroecosystems

生物监测 生物多样性 农业生态系统 生态学 地理 环境科学 生物 农业
作者
Kaihang Xing,Weijun Lu,Qiqi Huang,Jingze Wu,Heping Shang,Qian Wang,Fen Guo,Qingping Du,Zhonglong Yin,Yuan Zhang,Feilong Li
出处
期刊:Environmental Research [Elsevier BV]
卷期号:262 (Pt 2): 119931-119931 被引量:9
标识
DOI:10.1016/j.envres.2024.119931
摘要

Soil health is integral to sustainable agroecosystem management. Current monitoring and assessment practices primarily focus on soil physicochemical properties, yet the perspective of multitrophic biodiversity remains underexplored. Here we used environmental DNA (eDNA) technology to monitor multitrophic biodiversity in four typical agroecosystems, and analyzed the species composition and diversity changes in fungi, bacteria and metazoan, and combined with the traditional physicochemical variables to establish a soil health assessment framework centered on biodiversity data. First, eDNA technology detected rich multitrophic biodiversity in four agroecosystems, including 100 phyla, 273 classes, 611 orders, 1026 families, 1668 genera and 1146 species with annotated classification, and the relative sequence abundance of dominant taxa fluctuates tens of times across agroecosystems. Second, significant differences in soil physicochemical variables such as organic matter (OM), total nitrogen (TN) and available phosphorus (AP) were observed among different agroecosystems, nutrients were higher in cropland and rice paddies, while heavy metals were higher in fish ponds and lotus ponds. Third, biodiversity metrics, including α and β diversity, also showed significant changes across agroecosystems, the soil biota was generally more sensitive to nutrients (e.g., OM, TN or AP), while the fungal communities were mainly affected by heavy metals in October (e.g., Cu and Cr). Finally, we screened 48 sensitive organismal indicators and found significant positive consistency between the developed eDNA indices and the traditional soil quality index (SQI, reaching up to R
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