Evaluating the soil microbe community‐level physiological profile using <scp>EcoPlate</scp> and soil properties at 33 forest sites across Japan
Evaluating the soil microbe community‐level physiological profile using <scp>EcoPlate</scp> and soil properties at 33 forest sites across Japan
复制标题
使用 <scp>EcoPlate</scp> 评估日本 33 个森林点的土壤微生物群落水平生理特征和土壤特性
DOI：
10.1111/1440-1703.12293
复制
发表时间：
2022
影响因子：
2
通讯作者：
Nakamura et al.
中科院分区：
文献类型：
--
作者：
Nakamura et al.
我们提供了日本最大的可免费获得的EcoPlate数据集，其中包括从东亚地区从冷温带到亚热带的33个天然森林站点（77个样地）收集的数据。EcoPlate是一种96孔微孔板，包含三组重复的31个响应孔，具有不同的底碳基质。微生物群落对每种碳底物的利用是通过培养过程中孔的颜色密度来量化的。生态板可以提供一个多功能的土壤微生物群落指标。土壤特性（含水量、碳[C]和氮[N]含量、碳氮比和pH值）也是解释EcoPlate结果所必需的。该网络是环境部建立的1000个监测点森林和草原调查项目的一部分。使用标准化方案，在2020年9月至12月期间对土壤进行了采样。初步的主成分分析进行了时间积分的颜色密度使用31基材。对于时间积分，我们通过积分颜色密度发展曲线来计算颜色发展的累积量。PC1贡献了55.6%，被认为代表了所有底物的总吸光度的大小。选择环境因子模型（包括海拔）和土壤性质模型（包括含水量和pH）作为PC1变化的最佳拟合模型。EcoPlate数据可以对森林类型之间的比较研究进行meta分析，并在广泛的空间尺度上测试群落生态学和生态系统功能假设。该摘要的完整数据集发表在该期刊的数据论文部分，可在JaLTER的MetaCat中以电子格式获得，网址为http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP‐2022‐01.1/ JaLTER‐en。
We present the largest freely available EcoPlate dataset for Japan, comprising data collected from a network of 33 natural forest sites (77 plots) in regions of East Asia ranging from cool temperate to subtropical. EcoPlate is a 96‐well microplate that contains three repeated sets of 31 response wells with different sole carbon substrates. The utilization of each carbon substrate by the microbial community is quantified by the color density of the well during incubation. EcoPlate can provide a multifunctional index of a soil microbial community. Soil properties (water content, carbon [C] and nitrogen [N] contents, the C/N ratio, and pH) that are essential for interpreting the EcoPlate results were also measured. The network is part of the Forest and Grassland Survey of the Monitoring Sites 1000 Project established by the Ministry of the Environment. Using a standardized protocol, soil was sampled between September and December 2020. A preliminary principal component analysis was performed on the temporal integration of color density using 31 substrates. For the temporal integration, we calculated the cumulative amount of color development by integrating the color density development curve. PC1 contributed 55.6% and is thought to represent the magnitude of the overall absorbance of all substrates. The model of environmental factors including elevation and the model of soil properties, including water content and pH, were selected as the best‐fit models for variation in PC1. EcoPlate data enable the meta‐analysis of comparative studies among forest types and testing community ecology and ecosystem function hypotheses at broad spatial scales. The complete data set for this abstract published in the Data Paper section of the journal is available in electronic format in MetaCat in JaLTER at http://db.cger.nies.go.jp/JaLTER/metacat/metacat/ERDP‐2022‐01.1/jalter‐en.