Articles | Volume 7, issue 2
https://doi.org/10.5194/se-7-549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/se-7-549-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Apr 2016
Research article |
| 12 Apr 2016
Effect of soil coarseness on soil base cations and available micronutrients in a semi-arid sandy grassland
Linyou Lü
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Institute of Sandyland Improvement and Utilization, Liaoning Academy
of Agricultural Sciences, Fuxin 123000, China
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Heyong Liu
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Key Laboratory of Regional Environment and Eco-remediation, College
of Environment, Shenyang University, Shenyang 110044, China
Jinfei Yin
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
University of Chinese Academy of Sciences, Beijing 10049, China
Jiangtao Xiao
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
University of Chinese Academy of Sciences, Beijing 10049, China
Zhengwen Wang
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Yan Zhao
Institute of Sandyland Improvement and Utilization, Liaoning Academy
of Agricultural Sciences, Fuxin 123000, China
Guoqing Yu
Institute of Sandyland Improvement and Utilization, Liaoning Academy
of Agricultural Sciences, Fuxin 123000, China
Xingguo Han
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
Yong Jiang
State Key Laboratory of Forest and Soil Ecology, Institute of Applied
Ecology, Chinese Academy of Sciences, Shenyang 110016, China
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Plant functional traits have been considered as reflecting adaptations to environmental variations, indirectly affecting ecosystem productivity. How soil acidification affects above- and belowground biomass by altering leaf and root traits remains poorly understood. We found divergent trait responses driven by soil environmental conditions in two dominant species, resulting in a decrease in aboveground biomass and an increase in belowground biomass.
Heyong Liu, Ruzhen Wang, Hongyi Wang, Yanzhuo Cao, Feike A. Dijkstra, Zhan Shi, Jiangping Cai, Zhengwen Wang, Hongtao Zou, and Yong Jiang
Biogeosciences, 16, 4293–4306, https://doi.org/10.5194/bg-16-4293-2019, https://doi.org/10.5194/bg-16-4293-2019, 2019
Tianpeng Li, Heyong Liu, Ruzhen Wang, Xiao-Tao Lü, Junjie Yang, Yunhai Zhang, Peng He, Zhirui Wang, Xingguo Han, and Yong Jiang
Biogeosciences, 16, 2891–2904, https://doi.org/10.5194/bg-16-2891-2019, https://doi.org/10.5194/bg-16-2891-2019, 2019
Ruzhen Wang, Xue Wang, Yong Jiang, Artemi Cerdà, Jinfei Yin, Heyong Liu, Xue Feng, Zhan Shi, Feike A. Dijkstra, and Mai-He Li
Biogeosciences, 15, 1763–1774, https://doi.org/10.5194/bg-15-1763-2018, https://doi.org/10.5194/bg-15-1763-2018, 2018
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Our results highlight the importance of soil physicochemical properties (mainly SOC, C : N, and pH) rather than elevation (i.e., canopy cover and environmental factors, especially temperature) in determining base cation and micronutrient availabilities in soils and subsequently their concentrations in plant tissues.
Ruzhen Wang, Linyou Lü, Courtney A. Creamer, Feike A. Dijkstra, Heyong Liu, Xue Feng, Guoqing Yu, Xingguo Han, and Yong Jiang
Biogeosciences, 14, 2155–2166, https://doi.org/10.5194/bg-14-2155-2017, https://doi.org/10.5194/bg-14-2155-2017, 2017
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Soil coarseness is one of the principle constrains on terrestrial net primary productivity, ecosystem health, and regional economy. In a semi-arid sandy grassland, we conducted a field experiment to investigate the effect of soil coarseness on soil carbon pools, microbial biomass C, N, and P, and C-, N- and P-cycling enzyme activities of β-glucosidase, N-acetyl-glucosaminidase, and acid phosphomonoesterase by mixing soil with sand in different proportions of 0, 10, 30, 50, and 70 %.
Dongwei Liu, Weixing Zhu, Xiaobo Wang, Yuepeng Pan, Chao Wang, Dan Xi, Edith Bai, Yuesi Wang, Xingguo Han, and Yunting Fang
Biogeosciences, 14, 989–1001, https://doi.org/10.5194/bg-14-989-2017, https://doi.org/10.5194/bg-14-989-2017, 2017
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The use of 15N natural abundance of soil ammonium and nitrate demonstrates a clear shifting contribution from abiotic to biotic controls on N cycling along a 3200 km dryland transect in northern China, with a threshold at mean annual precipitation of 100 mm. Abiotic factors were the main driver below threshold, shown by the accumulation of atmospheric N and NH3 losses. In the area above threshold, soil N cycling was controlled mainly by biological factors, e.g., plant uptake and denitrification.
Jinfei Yin, Ruzhen Wang, Heyong Liu, Xue Feng, Zhuwen Xu, and Yong Jiang
Solid Earth, 7, 1565–1575, https://doi.org/10.5194/se-7-1565-2016, https://doi.org/10.5194/se-7-1565-2016, 2016
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In this paper we report on changes in elemental stoichiometry as affected by the nitrogen addition effect within three soil aggregate fractions of large macroaggregates (> 2000 μm), small macroaggregates (250–2000 μm), and microaggregates (< 250 μm) in a temperate steppe.
W. T. Luo, P. N. Nelson, M.-H. Li, J. P. Cai, Y. Y. Zhang, Y. G. Zhang, S. Yang, R. Z. Wang, Z. W. Wang, Y. N. Wu, X. G. Han, and Y. Jiang
Biogeosciences, 12, 7047–7056, https://doi.org/10.5194/bg-12-7047-2015, https://doi.org/10.5194/bg-12-7047-2015, 2015
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Soil pH buffering capacity plays a crucial role in predicting acidification rates, yet its large-scale patterns and controls are poorly understood, especially for neutral-alkaline soils. Here, we evaluated the spatial patterns and drivers of pHBC along a massive 3600km transect of land in China, stretching from the country’s subarctic north to its arid deserts. We found distinct drivers of soil acidification processes in different types of soil across northern China, resulting in a new advance.
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A. Cruz-Ruíz, E. Cruz-Ruíz, R. Vaca, P. Del Aguila, and J. Lugo
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Z. Wang, D. A. Johnson, Y. Rong, and K. Wang
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J. Y. Zhang, M. H. Dai, L. C. Wang, C. F. Zeng, and W. C. Su
Solid Earth, 7, 83–91, https://doi.org/10.5194/se-7-83-2016, https://doi.org/10.5194/se-7-83-2016, 2016
H. Biswas, A. Raizada, D. Mandal, S. Kumar, S. Srinivas, and P. K. Mishra
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L. Lin, Y. K. Li, X. L. Xu, F. W. Zhang, Y. G. Du, S. L. Liu, X. W. Guo, and G. M. Cao
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İ. Gümüş and C. Şeker
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X. Lu, Y. Yan, J. Sun, X. Zhang, Y. Chen, X. Wang, and G. Cheng
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Z. Gong, K. Kawamura, N. Ishikawa, M. Goto, T. Wulan, D. Alateng, T. Yin, and Y. Ito
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This study evaluated trends in vegetation cover and phenology dynamics in the Inner Mongolia grassland by applying a normalized difference vegetation index (NDVI) time series obtained by the Terra Moderate Resolution Imaging Spectroradiometer (MODIS) during 2002–2014. The positive trends of the cumulative annual NDVI (77.10%) could be interpreted as an increase in plant productivity in the Inner Mongolia permanent grassland. And the growing season has lengthened by 10.86 days.
C. Y. Niu, A. Musa, and Y. Liu
Solid Earth, 6, 1157–1167, https://doi.org/10.5194/se-6-1157-2015, https://doi.org/10.5194/se-6-1157-2015, 2015
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The higher soil moisture content among different land uses was exhibited by the grassland, and followed by cropland, poplar land, inter-dunes and shrub land. The temporal variations of soil moisture in different land uses were not always consistent with the rainfall due to the dry sequence. The infiltration depth exhibited a positive correlation with precipitation under all land uses. This study provided an insight into the implications for land and agricultural water management in this area.
K. Wasak and M. Drewnik
Solid Earth, 6, 1103–1115, https://doi.org/10.5194/se-6-1103-2015, https://doi.org/10.5194/se-6-1103-2015, 2015
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The paper shows soil organic carbon sequestration (SOC) rates in calcareous shallow soils in reforested areas in the Tatra Mts., with a particular focus on the different forms of organic matter (OM) storage. Fifty years after the conversion of pastureland to grassland, the emergence of dwarf pine shrub, larch forest, the development of genetic soil horizons as well as SOC sequestration and the occurrence of OM forms in soil, are related to plant community.
D. Tsozué, J. P. Nghonda, and D. L. Mekem
Solid Earth, 6, 1087–1101, https://doi.org/10.5194/se-6-1087-2015, https://doi.org/10.5194/se-6-1087-2015, 2015
P. Musinguzi, P. Ebanyat, J. S. Tenywa, T. A. Basamba, M. M. Tenywa, and D. Mubiru
Solid Earth, 6, 1063–1073, https://doi.org/10.5194/se-6-1063-2015, https://doi.org/10.5194/se-6-1063-2015, 2015
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This study showed that resource-poor smallholder farmers can ably rate fields for soil fertility as poor or good but had difficulties in identifying medium-fertility fields. Rating with SOC improved precision to rate medium-fertility fields. SOC and clay content explained the highest yield variances in heterogeneous smallholder farms. A combination of SOC and farmers' field experiences can be affordable approaches to guide fertility management and fertilizer application.
A. Erol, Ö. Koşkan, and M. A. Başaran
Solid Earth, 6, 1025–1035, https://doi.org/10.5194/se-6-1025-2015, https://doi.org/10.5194/se-6-1025-2015, 2015
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In addition to physical factors, socioeconomic factors have crucial effects on soil erosion, although the joint study of physical and socioeconomic factors has been limited to date. To address this, the present study aimed to determine the effect of socioeconomic factors on soil loss and, in turn, to modify the universal soil loss equation (USLE).
J. Wang, A. Ge, Y. Hu, C. Li, and L. Wang
Solid Earth, 6, 997–1006, https://doi.org/10.5194/se-6-997-2015, https://doi.org/10.5194/se-6-997-2015, 2015
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A fuzzy intelligent system based on a fuzzy decision tree was established for land potential evaluation. We proposed one new model for feature selection based on the fuzzy measure using the L1-norm method, which can help to construct an index system for intelligent evaluation. The data comes from the “Three Old” project of Shunde, China. It is huge and heterogeneous and is therefore used first for research. The fuzzy intelligent system shows good performance for land potential evaluation.
Q. Dai, Z. Liu, H. Shao, and Z. Yang
Solid Earth, 6, 985–995, https://doi.org/10.5194/se-6-985-2015, https://doi.org/10.5194/se-6-985-2015, 2015
M. Yazdani, S. M. Monavari, G. A. Omrani, M. Shariat, and S. M. Hosseini
Solid Earth, 6, 945–956, https://doi.org/10.5194/se-6-945-2015, https://doi.org/10.5194/se-6-945-2015, 2015
C. Cassinari, P. Manfredi, L. Giupponi, M. Trevisan, and C. Piccini
Solid Earth, 6, 929–943, https://doi.org/10.5194/se-6-929-2015, https://doi.org/10.5194/se-6-929-2015, 2015
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The amount of water available to plants in a closed landfill soil is analyzed by laboratory analyses, by using pedotransfer functions (PTFs) and by studying plant coverage. The laboratory analyses and PTFs highlighted the soil's inability to hold water. The closed landfill plant coverage consists of annual species (therophytes) typical of disturbed environments. The soil's low-water content, together with other degraded soil characters, justifies the plant coverage.
Y. Mohawesh, A. Taimeh, and F. Ziadat
Solid Earth, 6, 857–868, https://doi.org/10.5194/se-6-857-2015, https://doi.org/10.5194/se-6-857-2015, 2015
R. E. Masto, S. Sheik, G. Nehru, V. A. Selvi, J. George, and L. C. Ram
Solid Earth, 6, 811–821, https://doi.org/10.5194/se-6-811-2015, https://doi.org/10.5194/se-6-811-2015, 2015
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Impact of coal mining on soil was assessed through an integrated environmental soil quality index (ESQI). Biological activity was higher in underground mine (UGM) soil. As, Be, Co, Cr, Cu, Mn, Ni, and Pb were higher in opencast mine (OCM) soil, whereas Cd was higher in UGM. Polycyclic aromatic hydrocarbons (PAHs) were higher in UGM soil. Calculated ESQI, based on total PAHs, loss on ignition, bulk density, Be, Co, Cr, Ni, Pb, and microbial quotient, was higher for UGM (+10.1%) than OCM soils.
J. Ni, D. H. Luo, J. Xia, Z. H. Zhang, and G. Hu
Solid Earth, 6, 799–810, https://doi.org/10.5194/se-6-799-2015, https://doi.org/10.5194/se-6-799-2015, 2015
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The root biomass study of karst (limestone and dolomite) vegetation in southwestern China and even in the word’s karst regions is rarely investigated. The mixed evergreen and deciduous broadleaved forest in karst terrain of SW China has higher root biomass, but very high ratio of root to aboveground biomass compared to non-karst subtropical evergreen broadleaved forests. Such findings have significant ecological meanings for vegetation restoration and carbon increment.
S. Vingiani, G. Mele, R. De Mascellis, F. Terribile, and A. Basile
Solid Earth, 6, 783–797, https://doi.org/10.5194/se-6-783-2015, https://doi.org/10.5194/se-6-783-2015, 2015
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An integrated soil study was carried out on landslides which have occurred on the steep northern slopes of Mt. Vezzi on the island of Ischia (Italy). The studied soils showed a substantial abrupt discontinuity in all the studied properties along a buried fine ash layer (namely, the 2C horizon). Nevertheless, only the identification of a layer of thin, finely stratified ash on the top of 2C, by optical microscopy, enabled us to assume this interface to be an impeding layer for water fluxes.
T. Erkossa, A. Wudneh, B. Desalegn, and G. Taye
Solid Earth, 6, 765–774, https://doi.org/10.5194/se-6-765-2015, https://doi.org/10.5194/se-6-765-2015, 2015
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The paper reviews global and regional literature related to soil erosion and crop productivity. It argues that the cost of not replacing the nutrient lost due to erosion is more meaningful in areas where farmers do not apply the recommended rate of fertilizers. Thus, it established a functional relationship between the nutrients and yield of major crops based on data from three watersheds in the Nile basin and estimated the annual financial loss based on the local market price of the crops.
B. Turgut
Solid Earth, 6, 719–725, https://doi.org/10.5194/se-6-719-2015, https://doi.org/10.5194/se-6-719-2015, 2015
K. E. Seutloali and H. R. Beckedahl
Solid Earth, 6, 633–641, https://doi.org/10.5194/se-6-633-2015, https://doi.org/10.5194/se-6-633-2015, 2015
M. Wiesmeier, M. Lungu, R. Hübner, and V. Cerbari
Solid Earth, 6, 609–620, https://doi.org/10.5194/se-6-609-2015, https://doi.org/10.5194/se-6-609-2015, 2015
Y. Yu, W. Wei, L. D. Chen, F. Y. Jia, L. Yang, H. D. Zhang, and T. J. Feng
Solid Earth, 6, 595–608, https://doi.org/10.5194/se-6-595-2015, https://doi.org/10.5194/se-6-595-2015, 2015
E. L. Poelking, C. E. R. Schaefer, E. I. Fernandes Filho, A. M. de Andrade, and A. A. Spielmann
Solid Earth, 6, 583–594, https://doi.org/10.5194/se-6-583-2015, https://doi.org/10.5194/se-6-583-2015, 2015
L. W. Xie, J. Zhong, F. F. Chen, F. X. Cao, J. J. Li, and L. C. Wu
Solid Earth, 6, 515–524, https://doi.org/10.5194/se-6-515-2015, https://doi.org/10.5194/se-6-515-2015, 2015
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Short summary
Soil coarseness is the main process decreasing soil organic matter and threatening the productivity of sandy grasslands. Previous studies demonstrated negative effect of soil coarseness on soil carbon storage, but less is known about how soil base cations (exchangeable Ca, Mg, K, and Na) and available micronutrients (available Fe, Mn, Cu, and Zn) response to soil coarseness. In a semi-arid grassland of northern China, a field experiment was initiated in 2011 to solve this problem.
Soil coarseness is the main process decreasing soil organic matter and threatening the...
