Composition and variation of soil δ15N stable isotope in natural ecosystems
A - Papers appearing in refereed journals
Shan, Y., Huang, M., Suo, L., Zhao, X. and Wu, L. 2019. Composition and variation of soil δ15N stable isotope in natural ecosystems. Catena. 183, p. 104236. https://doi.org/10.1016/j.catena.2019.104236
| Authors | Shan, Y., Huang, M., Suo, L., Zhao, X. and Wu, L. |
|---|---|
| Abstract | The natural abundance of δ15N in soils is a simple tool for understanding ecosystem nitrogen cycling. However, the main drivers for soil δ15N in different natural land use types are not clear enough. To investigate the main drivers for soil δ15N in different land uses, we measured δ15N in the top 10 cm of the soil along a precipitation gradient with various land uses on the Loess Plateau of China, which covers a total area of 620,000 km2 and is one of the most erodible area in the world, to determine effects of climatic, soil and vegetation factors on soil δ15N and the relationships between them using the partial least squares regression (PLSR) method. Soil δ15N ranged from 1‰ to 9‰ on the Loess Plateau with an average of 5.8‰ in forest lands, 5.6‰ in shrub lands, and 4.8‰ in grasslands. Calculated variable influence on projection by PLSR showed that both soil properties (including soil organic carbon content, total nitrogen content and soil texture) and mean annual precipitation influenced soil δ15N strongly. In addition, site elevation also influenced soil δ15N strongly in forest lands. The dominant controls of soil δ15N varied among three land use types on the Chinese Loess Plateau, and PLSR would be a reasonable tool to predict soil δ15N. |
| Keywords | Soil properties; Partial least squares regression; Land use; Regional scale |
| Year of Publication | 2019 |
| Journal | Catena |
| Journal citation | 183, p. 104236 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.catena.2019.104236 |
| Open access | Published as non-open access |
| Funder | Natural Environment Research Council |
| National Natural Science Foundation of China | |
| Funder project or code | Modelling and managing critical zone relationships between soil, water and ecosystem processes across the Loess Plateau |
| 41571130082 | |
| Output status | Published |
| Publication dates | |
| Online | 27 Sep 2019 |
| Publication process dates | |
| Accepted | 20 Aug 2019 |
| Publisher | Elsevier Science Bv |
| ISSN | 0341-8162 |
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Roles of instrumented farm-scale trials in trade-off assessments of pasture-based ruminant production systems
A - Papers appearing in refereed journals
Takahashi, T., Harris, P., Blackwell, M. S. A., Cardenas, L. M., Collins, A. L., Dungait, J. A. J., Hawkins, J. M. B., Misselbrook, T. H., McAuliffe, G. A., McFadzean, J. N., Murray, P. J., Orr, R. J., Rivero, M. J., Wu, L. and Lee, M. R. F. 2018. Roles of instrumented farm-scale trials in trade-off assessments of pasture-based ruminant production systems. Animal. 12 (8), pp. 1766-1776. https://doi.org/10.1017/S1751731118000502
Mineral N stock and nitrate accumulation in the 50 to 200 m profile on the Loess Plateau
A - Papers appearing in refereed journals
Jia, X., Zhu, Y., Huang, L., Wei, X., Fang, Y., Wu, L., Binley, A. and Shao, M. 2018. Mineral N stock and nitrate accumulation in the 50 to 200 m profile on the Loess Plateau. Science of the Total Environment. 633, p. 999–1006. https://doi.org/10.1016/j.scitotenv.2018.03.249
How shallow and how many points of measurements are sufficient to estimate the deep profile mean soil water content of a hillslope in the Loess Plateau?
A - Papers appearing in refereed journals
Zhang, Y., Huang, M., Hu, W., Suo, L., Duan, L. and Wu, L. 2018. How shallow and how many points of measurements are sufficient to estimate the deep profile mean soil water content of a hillslope in the Loess Plateau? Geoderma. 314, pp. 85-94. https://doi.org/10.1016/j.geoderma.2017.11.013
Peri-urbanization may vary with vegetation restoration: A large scale regional analysis
A - Papers appearing in refereed journals
Fu, W., Lu, Y., Harris, P., Comber, A. and Wu, L. 2018. Peri-urbanization may vary with vegetation restoration: A large scale regional analysis. Urban Forestry and Urban Greening. 29, pp. 77-87. https://doi.org/10.1016/j.ufug.2017.11.006
Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2O emissions
A - Papers appearing in refereed journals
Ehrhardt, F., Soussana, J-F., Bellocchi, G., Grace, P., McAuliffe, R., Recous, S., Sandor, R., Smith, P., Snow, V., De Antoni Migliorati, M., Basso, B., Bhatia, A., Brilli, L., Doltra, J., Dorich, C. D., Doro, L., Fitton, N., Giacomini, S., Grant, B., Harrison, M., Jones, S., Kirschbaum, M., Klumpp, K., Laville, P., leonard, J., Liebig, M., Lieffering, M., Martin, R., Massad, R. S., Meier, E., Merbold, L., Moore, A., Myrgiotis, V., Newton, P., Pattey, E., Rolinski, S., Sharp, J., Smith, W., Wu, L. and Zhang, Q. 2018. Assessing uncertainties in crop and pasture ensemble model simulations of productivity and N2O emissions. Global Change Biology. 24 (2), p. e603–e616. https://doi.org/10.1111/gcb.13965
Simulating greenhouse gas emissions and stocks of carbon and nitrogen in soil from a long-term no-till system in the North China Plain
A - Papers appearing in refereed journals
Zhang, X., Sun, Z., Liu, J., Ouyang, Z. and Wu, L. 2018. Simulating greenhouse gas emissions and stocks of carbon and nitrogen in soil from a long-term no-till system in the North China Plain. Soil & Tillage Research. 178 (May), pp. 32-40. https://doi.org/10.1016/j.still.2017.12.013
Impact of two centuries of intensive agriculture on soil carbon, nitrogen and phosphorus cycling in the UK
A - Papers appearing in refereed journals
Muhammed, S. E., Coleman, K., Wu, L., Bell, V. A., Davies, J. A. C., Carnell, E. J., Tomlinson, S. J., Dore, A. J., Dragosits, U., Naden, P. S., Glendining, M. J., Whitmore, A. P. and Tipping, E. 2018. Impact of two centuries of intensive agriculture on soil carbon, nitrogen and phosphorus cycling in the UK. Science of the Total Environment. 634 (1 September), pp. 1486-1504. https://doi.org/10.1016/j.scitotenv.2018.03.378
Modelling field scale spatial variation in water run-off, soil moisture, N2O emissions and herbage biomass of a grazed pasture using the SPACSYS model
A - Papers appearing in refereed journals
Liu, Y., Li, Y., Harris, P., Cardenas, L. M., Dunn, R. M., Sint, H. M., Murray, P. J., Lee, M. R. F. and Wu, L. 2018. Modelling field scale spatial variation in water run-off, soil moisture, N2O emissions and herbage biomass of a grazed pasture using the SPACSYS model. Geoderma. 315, pp. 49-58. https://doi.org/10.1016/j.geoderma.2017.11.029
Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change.
A - Papers appearing in refereed journals
Fronzek, S., Pirttioja, N., Carter, T. R., Bindi, M., Hoffman, H., Palosuo, T., Ruiz-Ramos, M., Tao, F., Trnka, M., Acutis, M., Asseng, S., Baranowski, P., Basso, B., Bodin, P., Buis, S., Cammarano, D., Deligios, P., Destain, M-F., Dumont, B., Ewert, F., Ferrise, R., Francois, L., Gaiser, T., Hlavinka, P., Jacquemin, I., Kersebaum, K. C., Kollas, C., Krzyszczak, J., Loriet, I. J., Minet, J., Minguez, M. I., Montesino, M., Moriondo, M., Muller, M., Nendel, C., Ozturk, I., Perego, A., Rodriguez, A., Ruane, A. C., Ruget, F., Sanna, M., Semenov, M. A., Slawinski, C., Stratonovitch, P., Supit, I., Waha, K., Wang, E., Wu, L., Zhao, Z. and Rotter, R. P. 2018. Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change. Agricultural Systems. 159, pp. 209-224. https://doi.org/10.1016/j.agsy.2017.08.004
Gauging policy-driven large-scale vegetation restoration programmes under a changing environment: their effectiveness and socioeconomic relationships
A - Papers appearing in refereed journals
Li, T., Lu, Y., Fu, B., Comber, A. J., Harris, P. and Wu, L. 2017. Gauging policy-driven large-scale vegetation restoration programmes under a changing environment: their effectiveness and socioeconomic relationships. Science of the Total Environment. 607-8, pp. 911-919. https://doi.org/10.1016/j.scitotenv.2017.07.044
A synthetic analysis of greenhouse gas emissions from manure amended agricultural soils in China
A - Papers appearing in refereed journals
Ren, F., Zhang, X., Liu, J., Sun, N., Wu, L. and Xu, M. 2017. A synthetic analysis of greenhouse gas emissions from manure amended agricultural soils in China. Scientific Reports. 7, p. 8123. https://doi.org/10.1038/s41598-017-07793-6
Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: uncertainties and ensemble performance
A - Papers appearing in refereed journals
Sandor, R., Barcza, Z., Acutis, M., Doro, L., Hidy, D., Kochy, M., Minet, J., Lellei-Kovacs, E., Ma, S., Perego, A., Rolinksi, S., Ruget, F., Sanna, M., Seddaiu, G., Wu, L. and Bellocchi, G. 2017. Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: uncertainties and ensemble performance. European Journal of Agronomy. 88, pp. 22-40. https://doi.org/10.1016/j.eja.2016.06.006
A modified SCS-CN method incorporating storm duration and antecedent soil moisture estimation for runoff prediction
A - Papers appearing in refereed journals
Shi, W., Huang, M., Gongadze, K. and Wu, L. 2017. A modified SCS-CN method incorporating storm duration and antecedent soil moisture estimation for runoff prediction. Water Resources Management. 31, pp. 1713-1727. https://doi.org/10.1007/s11269-017-1610-0
Multi-model uncertainty analysis in predicting grain N for crop rotations in Europe
A - Papers appearing in refereed journals
Yin, X., Kersebaum, K. C., Kollas, C., Baby, S., Beaudoin, N., Manevski, K., Palosuo, T., Nendel, C., Wu, L., Hoffmann, M., Hoffmann, H., Sharif, B., Armas-Herrera, C. M., Bindi, M., Charfeddine, M., Conradt, T., Constantin, J., Ewert, F., Ferrise, R., Gaiser, T., De Cortazar-Atauri, I. G., Giglio, L., Hlavinka, P., Lana, M., Launay, M., Louarn, G., Manderscheid, R., Mirschel, W., Moriondo, M., Ozturk, I., Pacholski,A., Ripoche-Wachterl, D., Rotter, R. P., Ruget, F., Trnka, M., Ventrella, D., Weigel, H-J. and Olesen, J. E. 2017. Multi-model uncertainty analysis in predicting grain N for crop rotations in Europe. European Journal of Agronomy. 84, pp. 152-165. https://doi.org/10.1016/j.eja.2016.12.009
Performance of process-based models for simulation of grain N in crop rotations across Europe
A - Papers appearing in refereed journals
Yin, X., Kersebaum, K. C., Kollas, C., Manevski, K., Baby, S., Beaudoin, N., Ozturk, I., Gaiser, T., Wu, L., Hoffmann, M., Charfeddine, M., Conradt, T., Constantin, J., Ewert, F., De Cortazar-Atauri, I. G., Giglio, L., Hlavinka, P., Hoffmann, H., Launay, M., Louarn, G., Manderscheid, R., Mary, B., Mirschel, W., Nendel, C., Pacholski, A., Palosuo, T., Ripoche-Wachter, D., Rotter, R. P., Ruget, F., Sharif, B., Trnka, M., Ventrella, D., Weigel, H-J. and Olesen, J. E. 2017. Performance of process-based models for simulation of grain N in crop rotations across Europe. Agricultural Systems. 154, pp. 63-77. https://doi.org/10.1016/j.agsy.2017.03.005
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