Lianhai Wu

NameLianhai Wu
Job titleSenior Research Scientist - Agricultural Systems Modeller
Email addresslianhai.wu@rothamsted.ac.uk
DepartmentSustainable Agriculture Sciences North Wyke
Research clusterSAS-NW: Environment Systems and Modelling
ORCIDhttps://orcid.org/0000-0003-0221-9009
OfficeNorth Wyke

Research outputs

Assessment of nitrogen uptake and biological nitrogen fixation responses of soybean to nitrogen fertiliser with SPACSYS

Wu, L., Misselbrook, T. H., L. Feng and Wu, L. 2020. Assessment of nitrogen uptake and biological nitrogen fixation responses of soybean to nitrogen fertiliser with SPACSYS. Sustainability. 12 (15), p. 5921. https://doi.org/10.3390/su12155921

An evaluation of automated GPD threshold selection methods for hydrological extremes across different scales

Curceac, S., Atkinson, P. M., Milne, A. E., Wu, L. and Harris, P. 2020. An evaluation of automated GPD threshold selection methods for hydrological extremes across different scales. Journal of Hydrology. 585, p. 124845. https://doi.org/10.1016/j.jhydrol.2020.124845

Ensemble modelling of carbon fluxes in grasslands and croplands

Sandor, R., Ehrhardt, F., Grace, P., Reous, S., Smith, P., Snow, V., Soussana, J-F., Basso, B., Bhatia, S., Brilli, L., Doltra, J., Dorich, C. D., Doro, L., Fitton, N., Grant, B, Harrison, M. T., Skiba, U., Kirschbaum, M. U. F., Klumpp, K., Laville, P., Leonard, J., Martin, R., Massad, R. S., Moore, A., Myrgiotis, V., Pattey, E., Zhang, Q., Rolinski, S., Sharp, J., Smith, W., Wu, L. and Bellocchi, G. 2020. Ensemble modelling of carbon fluxes in grasslands and croplands . Field Crops Research. 252, p. 107791. https://doi.org/10.1016/j.fcr.2020.107791

Simulation of Phosphorus Chemistry, Uptake and Utilisation by Winter Wheat

Wu, L., Blackwell, M. S. A., Dunham, S. J., Hernandez, J. M. B. and McGrath, S. P. 2019. Simulation of Phosphorus Chemistry, Uptake and Utilisation by Winter Wheat. Plants. 8 (10), p. 404. https://doi.org/10.3390/plants8100404

Composition and variation of soil δ15N stable isotope in natural ecosystems

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

Soil nutrients of different land-use types and topographic positions in the water-wind erosion crisscross region of China's Loess Plateau

Ge, J., Wang, S., Fan, J., Gongadze, K. and Wu, L. 2020. Soil nutrients of different land-use types and topographic positions in the water-wind erosion crisscross region of China's Loess Plateau. Catena. 184, p. 104243. https://doi.org/10.1016/j.catena.2019.104243

Adjustments of leaf traits and whole plant leaf area for balancing water supply and demand in Robinia pseudoacacia under different precipitation conditions on the Loess Plateau

Zhang, Z., Huang, M., Zhao, X. and Wu, L. 2019. Adjustments of leaf traits and whole plant leaf area for balancing water supply and demand in Robinia pseudoacacia under different precipitation conditions on the Loess Plateau. Agricultural and Forest Meteorology. 279, p. 107733. https://doi.org/10.1016/j.agrformet.2019.107733

Modeling crop yield and nitrogen use efficiency in wheat and maize production systems under future climate change

Liang, S, Zhang, X., Sun, N., Xu, M. and Wu, L. 2019. Modeling crop yield and nitrogen use efficiency in wheat and maize production systems under future climate change. Nutrient Cycling in Agroecosystems. 115 (1), pp. 117-136. https://doi.org/10.1007/s10705-019-10013-4

Soil C and N dynamics and hydrological processes in a maize-wheat rotation field subjected to different tillage and straw management practices

Wang, L., Yuan, X., Liu, C., Li, Z., Chen, F., Li, S., Wu, L. and Liu, Y. 2019. Soil C and N dynamics and hydrological processes in a maize-wheat rotation field subjected to different tillage and straw management practices. Agriculture, Ecosystems & Environment. 285 (1 December), p. 106616. https://doi.org/10.1016/j.agee.2019.106616

Changes in soil microbial biomass with manure application in cropping systems: A meta-analysis

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

Impact of transition from permanent pasture to new swards on the nitrogen use efficiency, nitrogen and carbon budgets of beef and sheep production

Carswell, A. M., Gongadze, K., Misselbrook, T. H. and Wu, L. 2019. Impact of transition from permanent pasture to new swards on the nitrogen use efficiency, nitrogen and carbon budgets of beef and sheep production. Agriculture, Ecosystems & Environment. 283 (1 November), p. 106572. https://doi.org/10.1016/j.agee.2019.106572

The forgotten semantics of regression modelling in Geography

Comber, L., Harris, P., Lu, Y., Wu, L. and Atkinson, P. M. 2019. The forgotten semantics of regression modelling in Geography. Geographical Analysis . pp. 1-22. https://doi.org/10.1111/gean.12199

Permanent dry soil layer a critical control on soil desiccation on China’s Loess Plateau

Zhao, C., Jia, X., Gongadze, K., Shao, M., Wu, L. and Zhu, Y. 2019. Permanent dry soil layer a critical control on soil desiccation on China’s Loess Plateau. Scientific Reports. 9, p. 3296. https://doi.org/10.1038/s41598-019-38922-y

A Yield-Related Agricultural Drought Index Reveals Spatio-Temporal Characteristics of Droughts in Southwestern China

Wu, L., Feng, L., Li, Y., Wang, J. and Wu, L. 2019. A Yield-Related Agricultural Drought Index Reveals Spatio-Temporal Characteristics of Droughts in Southwestern China. Sustainability. 11 (3), p. 714. https://doi.org/10.3390/su11030714

Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects

Ren, Y., Lu, Y., Comber, A., Fu, B., Harris, P. and Wu, L. 2019. Spatially explicit simulation of land use/land cover changes: Current coverage and future prospects. Earth-Science Reviews. 190, pp. 398-415. https://doi.org/10.1016/j.earscirev.2019.01.001

A framework for the regional critical zone classification: the case of the Chinese Loess Plateau

Lu, Y, Hu, J, Fu, B., Harris, P., Wu, L., Tong, X., Bai, Y. and Comber, A. J. 2019. A framework for the regional critical zone classification: the case of the Chinese Loess Plateau . National Science Review. 16 (1), pp. 14-18. https://doi.org/10.1093/nsr/nwy147

Soil compaction effects upon litter decomposition in an arable field and implications for management of crop residues and headlands

Carlesso, L., Beadle, A., Cook, S. M., Graham, H., Ritz, K., Sparkes, D., Wu, L. and Murray, P. J. 2019. Soil compaction effects upon litter decomposition in an arable field and implications for management of crop residues and headlands. Applied Soil Ecology. 134 (February), pp. 31-37. https://doi.org/10.1016/j.apsoil.2018.10.004

Quantifying the spatio-temporal drivers of planned vegetation restoration on ecosystem services at a large regional scale

Liu, Y., Lu, Y., Fu, B-J., Harris, P. and Wu, L. 2019. Quantifying the spatio-temporal drivers of planned vegetation restoration on ecosystem services at a large regional scale. Science of the Total Environment. 650 (1), pp. 1029-1040. https://doi.org/10.1016/j.scitotenv.2018.09.082

Classifying multi-model wheat yield impact response surfaces showing sensitivity to temperature and precipitation change.

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

Soil aggregate-associated organic carbon dynamics subjected to different types of land use: Evidence from 13C natural abundance

Liu, Y., Liu, W., Wu, L., Liu, C., Wang, L., Chen, F. and Li, Z. 2018. Soil aggregate-associated organic carbon dynamics subjected to different types of land use: Evidence from 13C natural abundance. Ecological Engineering. 122 (15 October), pp. 295-302. https://doi.org/10.1016/j.ecoleng.2018.08.018

Deep soil water storage varies with vegetation type and rainfall amount in the Loess Plateau of China

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

Response of crop yield and nitrogen use efficiency for wheat-maize cropping system to future climate change in northern China

Liang, S., Li, Y., Zhang, X., Sun, Z., Sun, N., Duan, Y., Xu, M. and Wu, L. 2018. Response of crop yield and nitrogen use efficiency for wheat-maize cropping system to future climate change in northern China. Agricultural and Forest Meteorology. 262, pp. 310-321. https://doi.org/10.1016/j.agrformet.2018.07.019

A synthetic analysis of livestock manure substitution effects on organic carbon changes in China's arable topsoil

Ren, F., Zhang, X., Liu, J., Sun, N., Sun, Z., Wu, L. and Xu, M. 2018. A synthetic analysis of livestock manure substitution effects on organic carbon changes in China's arable topsoil. Catena. 171, pp. 1-10. https://doi.org/10.1016/j.catena.2018.06.036

Prediction of storm‐based nutrient loss incorporating the estimated runoff and soil loss at a slope scale on the Loess Plateau

Shi, W., Huang, M. and Wu, L. 2018. Prediction of storm‐based nutrient loss incorporating the estimated runoff and soil loss at a slope scale on the Loess Plateau. Land Degradation & Development. 29 (9), pp. 2899-2910. https://doi.org/10.1002/ldr.3028

Impact of two centuries of intensive agriculture on soil carbon, nitrogen and phosphorus cycling in the UK

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

Roles of instrumented farm-scale trials in trade-off assessments of pasture-based ruminant production systems

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

When multi-functional landscape meets critical zone science: advancing multi-disciplinary research for sustainable human well-being

Luo, Y., Lu, Y., Fu, B., Harris, P., Wu, L. and Comber, A. 2019. When multi-functional landscape meets critical zone science: advancing multi-disciplinary research for sustainable human well-being. National Science Review. https://doi.org/10.1093/nsr/nwy003

Mineral N stock and nitrate accumulation in the 50 to 200 m profile on the Loess Plateau

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

Simulating greenhouse gas emissions and stocks of carbon and nitrogen in soil from a long-term no-till system in the North China Plain

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

Modelling field scale spatial variation in water run-off, soil moisture, N2O emissions and herbage biomass of a grazed pasture using the SPACSYS model

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

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?

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

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

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

A synthetic analysis of greenhouse gas emissions from manure amended agricultural soils in China

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

Gauging policy-driven large-scale vegetation restoration programmes under a changing environment: their effectiveness and socioeconomic relationships

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

Gauging policy-driven large-scale vegetation restoration programmes under a changing environment: their effectiveness and socioeconomic relationships

Li, T., Lu, Y., Bojie, F., 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. 607-608, pp. 911-919. https://doi.org/10.1016/j.scitotenv.2017.07.044

Performance of process-based models for simulation of grain N in crop rotations across Europe

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

A modified SCS-CN method incorporating storm duration and antecedent soil moisture estimation for runoff prediction

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

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

Multi-model simulation of soil temperature, soil water content and biomass in Euro-Mediterranean grasslands: uncertainties and ensemble performance

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

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