CoBacFM: Core bacteria forecast model for global grassland pH dynamics under future climate warming scenarios

首页 > 成果 > 详情

认领

导出

Link by DOI

反馈

作者信息关键词期刊信息基础信息归属信息摘要

成果类型：

期刊论文

作者：

Feng, Kai;Wang, Shang;He, Qing;Bonkowski, Michael;Bahram, Mohammad;...

通讯作者：

Deng, Y

作者机构：

[Wang, Yingcheng; Yang, Xingsheng; Shen, Wenli; Wei, Ziyan; Wang, Zhujun; Feng, Kai; Deng, Ye; Wang, Danrui; Li, Tong; He, Qing; Du, Xiongfeng; Gu, Songsong; Deng, Y; Wang, Shang; Li, Shuzhen; Ju, Zhicheng; Yan, Chengliang; Peng, Xi] Chinese Acad Sci, Res Ctr Ecoenvironm Sci, CAS Key Lab Environm Biotechnol, Beijing, Peoples R China.

[Yang, Xingsheng; Deng, Ye; Wang, Danrui; Li, Tong; He, Qing; Du, Xiongfeng; Gu, Songsong; Deng, Y; Ju, Zhicheng; Yan, Chengliang; Peng, Xi] Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.

[Bonkowski, Michael] Univ Cologne, Cluster Excellence Plant Sci CEPLAS, Inst Zool, Terr Ecol, Cologne, Germany.

[Bahram, Mohammad] Swedish Univ Agr Sci, Dept Ecol, Uppsala, Sweden.

[Bahram, Mohammad] Univ Tartu, Inst Ecol & Earth Sci, Tartu, Estonia.

通讯机构：

[Deng, Y ] C

Chinese Acad Sci, Res Ctr Ecoenvironm Sci, CAS Key Lab Environm Biotechnol, Beijing, Peoples R China.

Univ Chinese Acad Sci, Coll Resources & Environm, Beijing, Peoples R China.

语种：

英文

关键词：

climate change;soil pH;grassland microbiome;warming;biogeography;bacteria;alkaline;model prediction

期刊：

ONE EARTH

ISSN：

2590-3330

年：

2024

卷：

期：

页码：

1275-1287

DOI：

10.1016/j.oneear.2024.06.002

基金类别：

National Key Research and Development Program of China [2022YFE0114000]; National Science Foundation of China [42207141, U23A2043]; China Postdoctoral Science Foundation [2021M703410]; Wenshan Tobacco Company of Yunnan Province of China [2021530000241033]

机构署名：

本校为其他机构

院系归属：

园艺园林学院

摘要：

Soil microbes regulate various biogeochemical cycles on Earth and respond rapidly to climate change, which is accompanied by changes in soil pH. However, the long-term patterns of these changes under future climate scenarios remain unclear. We propose a core-bacteria-forecast model (CoBacFM) to model soil pH changes by shifts of core bacterial groups under future scenarios using a curated soil microbiota dataset of global grasslands. Our model estimates that soil pH will increase in 63.8%–67.0% of grassland regions and decrease in 10.1%–12.4%...

反馈

产权有误：本人成果被他人认领

数据有误：数据基本信息有误

归属有误：成果的院系归属、机构署名归属有误

其他原因：

验证码：

看不清楚，换一个

确定

取消

成果认领

标题：

用户	作者	通讯作者	--
	请选择	请选择	--

确定

取消

CoBacFM: Core bacteria forecast model for global grassland pH dynamics under future climate warming scenarios

反馈

成果认领

提示

该栏目需要登录且有访问权限才可以访问