利用EcoPlate对日本74个人工林的土壤微生物群落进行生理分析和土壤性质评估

IF 1.7 4区 环境科学与生态学 Q3 ECOLOGY
Masahiro Nakamura, Chisato Terada, Kinya Ito, Tsutom Hiura, Hideaki Shibata, Takeshi Miki, Taku M. Saitoh, Masahiro Takagi, Toshiyuki Hougen, Shin-ichiro S. Matsuzaki, Mirai Watanabe, Hiroyuki Tado, Norifumi Hotta, Yoshiko Kosugi, Nobuyuki Aiko, Nagahiro Kojima, Nana Katagiri, Koju Kishimoto, Tomohiro Yoshida, Yuuki Tsunoda, Tatsumi Takamiya, Kosuke Ito, Yasuhiro Utsumi, Tetsuro Yoshikawa, Tanaka Kenta, Miho Oda, Naoki Agetsuma, Masataka Kawai, Toru Fujita, Takuo Hishi, Hiromasa Shimada, Tomoaki Ichie, Kazuhiko Hoshizaki, Hajime Kobayashi, Tatsuyuki Seino, Mahoko Noguchi, Dai Nagamatsu, Haruo Saito, Ryunosuke Tateno, Masae Iwamoto Ishihara, Yoichiro Kitagawa, Yoko Hisamoto, Kosuke Homma, Toshihide Hirao, Tatsuya Otani, Motomu Toda, Jinshi Terada, Tomonori Kume, Karibu Fukuzawa, Atsushi Takashima, Koki Kurose, Sakae Fujii, Shunsuke Itoh, Tamihisa Ohta, Kazuhiko Otsuki, Takuo Nagaike, Kyohei Hasegawa, Kobayashi Makoto, Manabu Shirahata, Sawako Matsuki, Masayuki Hatanaka, Satoshi Suzuki, Noriyuki Muro, Tomoyuki Yamoto, Naoyuki Adachi, Nobuhiro Kaneko, Tamon Yamashita
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引用次数: 0

摘要

由于支持大规模扩大人工林的政策,日本约40%的森林是人工林,如日本雪松(Cryptomeria japonica)和日本柏树(Chamaecyparis obtusa)。我们提供了日本最大的免费人工林数据集,包括从冷温带到亚热带地区74个人工林点(114个样地)的网络收集的数据。EcoPlate是一种96孔微孔板,包含三组31个不同碳基质的“响应孔”。微生物群落对每种碳基质的利用是基于培养过程中井的颜色发展来量化的,提供了一个多功能的土壤微生物群落指标。土壤特性(含水量、碳、氮、碳/氮(C/N)比和pH值)对解释EcoPlate结果至关重要。使用标准化方案,在2021年7月至11月期间对土壤进行了采样。初步的主坐标分析(PCoA)对31种基材的颜色密度时间积分进行了分析。PCo1解释了所有底物总吸光度变化的36.5%。环境因子模型(包括海拔)和土壤特性模型(包括pH值、含水量和碳)是最适合的模型。EcoPlate数据使我们能够在区域尺度上检验与群落生态学和人工林土壤微生物群落生态系统功能有关的假设。该摘要的完整数据集发表在该期刊的数据文章部分,以电子格式在JaLTER的MetaCat中提供,网址为https://jalter.diasjp.net/data/ERDP-2024-08。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Physiological profiling of the soil microbe community using the EcoPlate and assessment of soil properties at 74 planted forest sites across Japan

Physiological profiling of the soil microbe community using the EcoPlate and assessment of soil properties at 74 planted forest sites across Japan

Due to policies supporting large-scale expansion of plantation forestry, about 40% of the forests in Japan are planted forests, such as Japanese cedar (Cryptomeria japonica) and hinoki cypress (Chamaecyparis obtusa). We present the largest freely available EcoPlate dataset for planted forests in Japan, comprising data collected from a network of 74 planted forest sites (114 plots) in regions ranging from cool-temperate to subtropical. The EcoPlate is a 96-well microplate that contains three sets of 31 “response wells” with different carbon substrates. The utilization of each carbon substrate by the microbial community is quantified based on the color development of the well during incubation, providing a multifunctional index of the soil microbial community. Soil properties (water content, carbon, nitrogen, the carbon/nitrogen (C/N) ratio, and pH) essential for interpreting the EcoPlate results were also analyzed. Using a standardized protocol, soil was sampled between July and November 2021. A preliminary principal coordinate analysis (PCoA) was performed on the temporal integration of color density using the 31 substrates. PCo1 explained 36.5% of the variance of the overall absorbance of all substrates. A model of environmental factors, including elevation, and a model of soil properties, including pH, water content, and carbon, were the best-fit models. EcoPlate data allow us to test hypotheses related to community ecology and the ecosystem functions of the soil microbial community in planted forests on a regional scale. The complete data set for this abstract published in the Data Article section of the journal is available in electronic format in MetaCat in JaLTER at https://jalter.diasjp.net/data/ERDP-2024-08.

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来源期刊
Ecological Research
Ecological Research 环境科学-生态学
CiteScore
4.40
自引率
5.00%
发文量
87
审稿时长
5.6 months
期刊介绍: Ecological Research has been published in English by the Ecological Society of Japan since 1986. Ecological Research publishes original papers on all aspects of ecology, in both aquatic and terrestrial ecosystems.
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