Soil Respiration in Tibetan Alpine Grasslands: Belowground Biomass and Soil Moisture, but Not Soil Temperature, Best Explain the Large-Scale Patterns

NWIPB OpenIR

	Soil Respiration in Tibetan Alpine Grasslands: Belowground Biomass and Soil Moisture, but Not Soil Temperature, Best Explain the Large-Scale Patterns
	Geng, Yan 1,2,3; Wang, Yonghui 1,2; Yang, Kuo 1,2; Wang, Shaopeng 1,2; Zeng, Hui 1,2,4; Baumann, Frank 5; Kuehn, Peter 5; Scholten, Thomas 5; He, Jin-Sheng 1,2,3
	2012-04-11
发表期刊	PLOS ONE
ISSN	1932-6203
卷号	7 期号:4
文章类型	Article
摘要	The Tibetan Plateau is an essential area to study the potential feedback effects of soils to climate change due to the rapid rise in its air temperature in the past several decades and the large amounts of soil organic carbon (SOC) stocks, particularly in the permafrost. Yet it is one of the most under-investigated regions in soil respiration (Rs) studies. Here, Rs rates were measured at 42 sites in alpine grasslands (including alpine steppes and meadows) along a transect across the Tibetan Plateau during the peak growing season of 2006 and 2007 in order to test whether: (1) belowground biomass (BGB) is most closely related to spatial variation in Rs due to high root biomass density, and (2) soil temperature significantly influences spatial pattern of Rs owing to metabolic limitation from the low temperature in cold, high-altitude ecosystems. The average daily mean Rs of the alpine grasslands at peak growing season was 3.92 mu mol CO2 m(-2) s(-1), ranging from 0.39 to 12.88 mu mol CO2 m(-2) s(-1), with average daily mean Rs of 2.01 and 5.49 mu mol CO2 m(-2) s(-1) for steppes and meadows, respectively. By regression tree analysis, BGB, aboveground biomass (AGB), SOC, soil moisture (SM), and vegetation type were selected out of 15 variables examined, as the factors influencing large-scale variation in Rs. With a structural equation modelling approach, we found only BGB and SM had direct effects on Rs, while other factors indirectly affecting Rs through BGB or SM. Most (80%) of the variation in Rs could be attributed to the difference in BGB among sites. BGB and SM together accounted for the majority (82%) of spatial patterns of Rs. Our results only support the first hypothesis, suggesting that models incorporating BGB and SM can improve Rs estimation at regional scale.; The Tibetan Plateau is an essential area to study the potential feedback effects of soils to climate change due to the rapid rise in its air temperature in the past several decades and the large amounts of soil organic carbon (SOC) stocks, particularly in the permafrost. Yet it is one of the most under-investigated regions in soil respiration (Rs) studies. Here, Rs rates were measured at 42 sites in alpine grasslands (including alpine steppes and meadows) along a transect across the Tibetan Plateau during the peak growing season of 2006 and 2007 in order to test whether: (1) belowground biomass (BGB) is most closely related to spatial variation in Rs due to high root biomass density, and (2) soil temperature significantly influences spatial pattern of Rs owing to metabolic limitation from the low temperature in cold, high-altitude ecosystems. The average daily mean Rs of the alpine grasslands at peak growing season was 3.92 mu mol CO2 m(-2) s(-1), ranging from 0.39 to 12.88 mu mol CO2 m(-2) s(-1), with average daily mean Rs of 2.01 and 5.49 mu mol CO2 m(-2) s(-1) for steppes and meadows, respectively. By regression tree analysis, BGB, aboveground biomass (AGB), SOC, soil moisture (SM), and vegetation type were selected out of 15 variables examined, as the factors influencing large-scale variation in Rs. With a structural equation modelling approach, we found only BGB and SM had direct effects on Rs, while other factors indirectly affecting Rs through BGB or SM. Most (80%) of the variation in Rs could be attributed to the difference in BGB among sites. BGB and SM together accounted for the majority (82%) of spatial patterns of Rs. Our results only support the first hypothesis, suggesting that models incorporating BGB and SM can improve Rs estimation at regional scale.
WOS标题词	Science & Technology
关键词[WOS]	STRUCTURAL EQUATION MODEL ; CARBON-DIOXIDE ; ARCTIC TUNDRA ; NITROGEN MINERALIZATION ; INTERANNUAL VARIABILITY ; ECOSYSTEM-LEVEL ; ORGANIC-CARBON ; TRADE-OFFS ; PLATEAU ; CLIMATE
收录类别	SCI
语种	英语
WOS研究方向	Science & Technology - Other Topics
WOS类目	Multidisciplinary Sciences
WOS记录号	WOS:000305336600071
引用统计	被引频次：104[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://210.75.249.4/handle/363003/3688
专题	中国科学院西北高原生物研究所
作者单位	1.Peking Univ, Coll Urban & Environm Sci, Dept Ecol, Beijing 100871, Peoples R China 2.Peking Univ, Key Lab Earth Surface Proc, Minist Educ, Beijing 100871, Peoples R China 3.Chinese Acad Sci, NW Inst Plateau Biol, Key Lab Adaptat & Evolut Plateau Biota, Xining, Peoples R China 4.Peking Univ, Shenzhen Grad Sch, Shenzhen Key Lab Circular Econ, Shenzhen, Peoples R China 5.Univ Tubingen, Dept Geosci Phys Geog & Soil Sci, Tubingen, Germany
推荐引用方式 GB/T 7714	Geng, Yan,Wang, Yonghui,Yang, Kuo,et al. Soil Respiration in Tibetan Alpine Grasslands: Belowground Biomass and Soil Moisture, but Not Soil Temperature, Best Explain the Large-Scale Patterns[J]. PLOS ONE,2012,7(4).
APA	Geng, Yan.,Wang, Yonghui.,Yang, Kuo.,Wang, Shaopeng.,Zeng, Hui.,...&He, Jin-Sheng.(2012).Soil Respiration in Tibetan Alpine Grasslands: Belowground Biomass and Soil Moisture, but Not Soil Temperature, Best Explain the Large-Scale Patterns.PLOS ONE,7(4).
MLA	Geng, Yan,et al."Soil Respiration in Tibetan Alpine Grasslands: Belowground Biomass and Soil Moisture, but Not Soil Temperature, Best Explain the Large-Scale Patterns".PLOS ONE 7.4(2012).

条目包含的文件		下载所有文件
文件名称/大小	文献类型	版本类型	开放类型	使用许可
Soil Respiration in （881KB）			开放获取	--	浏览下载