Changes in soil microbial biomass with manure application in cropping systems: A meta-analysis
A - Papers appearing in refereed journals
Ren, F., Sun, N., Xu, M., Zhang, X., Wu, L. and Xu, M. 2019. Changes in soil microbial biomass with manure application in cropping systems: A meta-analysis. Soil & Tillage Research. 194, p. 104291. https://doi.org/10.1016/j.still.2019.06.008
| Authors | Ren, F., Sun, N., Xu, M., Zhang, X., Wu, L. and Xu, M. |
|---|---|
| Abstract | Soil microbial biomass carbon (SMBC) and nitrogen (SMBN) are important indices of soil bio-fertility. While intensively managed cropping systems can reduce microbial biomass, application of manure is a potential way to rebuilt microbial biomass and improve soil functions. However, the responses of SMBC and SMBN to manure application relative to mineral fertilizers (NPK) in Chinese cropping systems remains unclear. We conducted a meta-analysis based on 103 peer-reviewed publications with 1448 paired observations to identify the degree to which climate types, soil properties and agricultural managements regulate the responses of microbial biomass to manure amendment relative to NPK. The results indicated that manure application increased SMBC, SMBN, SMBC/soil organic carbon (SOC) and SMBN/soil total nitrogen (TN) by 40%, 55%, 16% and 21%, respectively, across all the observations compared to NPK. SMBC/SMBN under manure amendment (6.58 in average) was lower than that in NPK (7.86 in average). Manure-related factors, e.g. manure types, duration of application, manure-C and N input rates, were the strongest regulators of the response of microbial biomass. Soil properties and climates also contributed to considerable degrees of variation in microbial biomass response based on variance partitioning analysis (VPA). Results of the random forest (RF) models showed that manure type, application rate (manure-C and N input) as well as soil initial properties (SOC, TN and clay contents) were likely the predominant factors controlling the response of microbial biomass to manure application. Our study indicates that manure application can be an effective way to restore the loss of microbial biomass due to intensive application of NPK, yet variations in response are determined by specific manure type, application rate, as well as local conditions of climate and inherent soil properties. |
| Keywords | Microbial biomass ; Manure; Mineral fertilizer; Chinese cropland; Meta-analysis |
| Year of Publication | 2019 |
| Journal | Soil & Tillage Research |
| Journal citation | 194, p. 104291 |
| Digital Object Identifier (DOI) | https://doi.org/10.1016/j.still.2019.06.008 |
| Open access | Published as non-open access |
| Funder | Biotechnology and Biological Sciences Research Council |
| National Natural Science Foundation of China | |
| National Key Research and Development Program of China | |
| Funder project or code | S2N - Soil to Nutrition - Work package 3 (WP3) - Sustainable intensification - optimisation at multiple scales |
| 41620104006 | |
| 2017YFC0503805 | |
| Publisher's version | |
| Output status | Published |
| Publication dates | |
| 18 Jun 2019 | |
| Publication process dates | |
| Accepted | 09 Jun 2019 |
| Publisher | |
| ISSN | 0167-1987 |
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Deep soil water storage varies with vegetation type and rainfall amount in the Loess Plateau of China
A - Papers appearing in refereed journals
Cao, R, Jia, X., Huang, L., Zhu, Y., Wu, L. and Shao, M. 2018. Deep soil water storage varies with vegetation type and rainfall amount in the Loess Plateau of China. Scientific Reports. 8 (12346). https://doi.org/10.1038/s41598-018-30850-7
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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