Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands

doi:10.1111/1365-2435.14167

	Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands
	Hu, Shuya 1; Wang, Changhui 2; Risch, Anita C.; Liu, Yuan 4; Li, Yang 1; Li, Lei 1; Xu, Xiaohui 1; He, Nianpeng 1,4; Han, Xingguo1 ; Huang, Jianhui1
	2022
发表期刊	FUNCTIONAL ECOLOGY
ISSN	0269-8463
卷号	36 期号:10 页码:2626-2635
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.
关键词	desert steppe grassland hydrothermal condition meadow steppe soil net N mineralization transects typical steppe
学科领域	Ecology
DOI	10.1111/1365-2435.14167
收录类别	SCI
语种	英语
WOS关键词	NITROGEN MINERALIZATION ; MICROBIAL BIOMASS ; TEMPERATURE SENSITIVITY ; EXTRACTION METHOD ; TYPICAL STEPPE ; PADDY SOILS ; CARBON ; WATER ; AVAILABILITY ; RESPIRATION
WOS研究方向	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000852983800001
出版者	WILEY
文献子类	Article
出版地	HOBOKEN
EISSN	1365-2435
资助机构	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]
作者邮箱	wangch@ibcas.ac.cn ; jhhuang@ibcas.ac.cn
引用统计
文献类型	期刊论文
条目标识符	http://ir.ibcas.ac.cn/handle/2S10CLM1/28567
专题	植被与环境变化国家重点实验室
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.Risch, Anita C.] 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,2022,36(10):2626-2635.
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,36(10),2626-2635.
MLA	Hu, Shuya,et al."Hydrothermal conditions determine soil potential net N mineralization rates in arid and semi-arid grasslands".FUNCTIONAL ECOLOGY 36.10(2022):2626-2635.

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