Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands
文献类型：期刊论文
| 作者 | Hu, Shuya1,2; Wang, Changhui1,3; Risch, Anita C.4; Liu, Yuan5; Li, Yang1,2; Li, Lei1,2; Xu, Xiaohui1,2; He, Nianpeng2,5; Han, Xingguo1,2; Huang, Jianhui1,2 |
| 刊名 | FUNCTIONAL ECOLOGY
 |
| 出版日期 | 2022-09-12 |
| 页码 | 10 |
| ISSN号 | 0269-8463 |
| 关键词 | desert steppe grassland hydrothermal condition meadow steppe soil net N mineralization transects typical steppe |
| DOI | 10.1111/1365-2435.14167 |
| 通讯作者 | Wang, Changhui(wangch@ibcas.ac.cn) ; Huang, Jianhui(jhhuang@ibcas.ac.cn) |
| 英文摘要 | Soil net nitrogen (N) mineralization is a key biogeochemical process influencing plant available N and net primary productivity in terrestrial ecosystems. However, the spatial variations and controlling factors of soil net N mineralization (R-PNM) in arid and semi-arid grasslands are less studied and unclear. In this study, we investigated the soil R-PNM by performing a laboratory incubation experiment. Soil samples were collected from 30 sites in three east-west transects on the Inner Mongolia Plateau (MP), Loess Plateau (LP) and Tibetan Plateau (TP) along a 3200 km arid and semi-arid grassland gradient, with each transect containing three different grassland types (meadow steppe [MS], typical steppe [TS] and desert steppe [DS], respectively). Results showed that the average R-PNM values ranged from -0.37 to 1.29 mg N kg(-1) day(-1), with a significantly lower R-PNM found in the DS (0.08 +/- 0.01 mg N kg(-1) day(-1)) compared with those in the MS (0.30 +/- 0.03 mg N kg(-1) day(-1)) and in the TS (0.33 +/- 0.03 mg N kg(-1) day(-1)) in the MP and LP transects (p < 0.05). This difference could be explained by variations in climatic and soil factors, such as hydrothermal index (HT), the soil pH, soil organic matter (SOM) and precipitation. However, no significant differences in R-PNM were found among different grassland types in the TP transect, possibly due to the similarly low microbial activity, as indicated by the microbial biomass carbon values. Across all three grassland transects, HT, SOM and microbial variables were the major factors controlling R-PNM, which together explained 20.7% of the variation in R-PNM. Further structural equation model analysis indicated HT was an integral predictor of R-PNM, directly or indirectly via SOM, under different conditions of precipitation and temperature. Our findings provide field evidence and parameters for biogeochemical cycling to better predict future N transformation processes under changing precipitation and temperature regimes across a wide range of arid and semi-arid grassland ecosystems. Read the free Plain Language Summary for this article on the Journal blog. |
| WOS关键词 | NITROGEN MINERALIZATION ; MICROBIAL BIOMASS ; TEMPERATURE SENSITIVITY ; EXTRACTION METHOD ; TYPICAL STEPPE ; PADDY SOILS ; CARBON ; WATER ; AVAILABILITY ; RESPIRATION |
| 资助项目 | Strategic Priority Research Program of Chinese Academy of Sciences[XDA23080402] ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP)[2019QZKK0606] ; Chinese National Key Development Program for Basic Research[2017YFA0604802] ; National Natural Science Foundation of China[31770526] ; High-Level Talents Project of Shanxi Agricultural University[2021XG008] ; Shanxi Key Laboratory Project[202104010910017] |
| WOS研究方向 | Environmental Sciences & Ecology |
| 语种 | 英语 |
| 出版者 | WILEY |
| WOS记录号 | WOS:000852983800001 |
| 资助机构 | Strategic Priority Research Program of Chinese Academy of Sciences ; Second Tibetan Plateau Scientific Expedition and Research Program (STEP) ; Chinese National Key Development Program for Basic Research ; National Natural Science Foundation of China ; High-Level Talents Project of Shanxi Agricultural University ; Shanxi Key Laboratory Project |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/182820]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Wang, Changhui; Huang, Jianhui |
| 作者单位 | 1.Chinese Acad Sci, Inst Bot, State Key Lab Vegetat & Environm Change, Beijing, Peoples R China 2.Univ Chinese Acad Sci, Beijing, Peoples R China 3.Shanxi Agr Univ, Coll Grassland Sci, Taigu, Peoples R China 4.Swiss Fed Inst Forest Snow & Landscape Res WSL, Community Ecol, Birmensdorf, Switzerland 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing, Peoples R China |
| 推荐引用方式 GB/T 7714 | Hu, Shuya,Wang, Changhui,Risch, Anita C.,et al. Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands[J]. FUNCTIONAL ECOLOGY,2022:10. |
| APA | Hu, Shuya.,Wang, Changhui.,Risch, Anita C..,Liu, Yuan.,Li, Yang.,...&Huang, Jianhui.(2022).Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands.FUNCTIONAL ECOLOGY,10. |
| MLA | Hu, Shuya,et al."Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands".FUNCTIONAL ECOLOGY (2022):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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