Effects of grazing and climate change on aboveground standing biomass and sheep live weight changes in the desert steppe in Inner Mongolia, China

A - Papers appearing in refereed journals

Wang, Y., Wang, Z., Wu, L., Li, H., Li, J., Zhu, A., Jin, Y. and Han, G. 2024. Effects of grazing and climate change on aboveground standing biomass and sheep live weight changes in the desert steppe in Inner Mongolia, China. Agricultural Systems. 217 (May), p. 103916. https://doi.org/10.1016/j.agsy.2024.103916

Publication dates
Authors	Wang, Y., Wang, Z., Wu, L., Li, H., Li, J., Zhu, A., Jin, Y. and Han, G.
Abstract	CONTEXT The Stipa breviflora desert steppe ecosystem is fragile and sensitive to climate change and grazing disturbance. Previous studies have reported the effects of climate change and grazing on aboveground standing biomass of the plant community and sheep live weight, however, the interaction between climate change and grazing remains unclear. Process models have become ideal tools for the evaluation of the effects of grazing management practices under climate change. OBJECTIVE We used the Soil-Plant-Atmosphere Continuum System (SPACSYS) model to investigate aboveground standing biomass and the live weight of sheep in the desert steppe of Inner Mongolia under future climate change scenarios and different grazing management. The results will be used to inform adaptive management strategies. METHODS The grazing experiment consisted of four treatments: no grazing (0 sheep ha−1 half year−1), light stocking rate (0.91 sheep ha−1 half year−1), moderate stocking rate (1.82 sheep ha−1 half year−1), and high stocking rate (2.71 sheep ha−1 half year−1). We used observed data on soil temperature, soil volumetric water content, changes to sheep live weight, and aboveground standing biomass of plant community to provide parameterization and validation for the SPACSYS model. We then predicted aboveground standing biomass of the plant community and sheep live weight changes for different grazing management under three representative concentration pathways (RCP) scenarios (RCP 2.6, RCP 4.5, and RCP 8.5) from 2021 to 2100. RESULTS AND CONCLUSIONS Moderate and high stocking rates decreased aboveground standing biomass and sheep live weight changes more than the light stocking rate. A light stocking rate can maintain higher aboveground standing biomass and sheep live weight as well as meet production requirements. Therefore, a light stocking rate is a potentially effective management approach to improve food production security and combat global climate change in the desert steppe. SIGNIFICANCE The model can inform management strategies for grazing in the desert steppe under climate change, supporting efforts to maintain the stability of the steppe ecosystem and increase economic benefits, while also providing a theoretical basis for adaptive management in the desert steppe
Keywords	Grazing ; Climate change; SPACSYS model; Aboveground standing biomass; Sheep live weight
Year of Publication	2024
Journal	Agricultural Systems
Journal citation	217 (May), p. 103916
Digital Object Identifier (DOI)	https://doi.org/10.1016/j.agsy.2024.103916
Open access	Published as non-open access
Funder	National Natural Science Foundation of China
Publisher's version	1-s2.0-S0308521X24000660-main.pdf
Output status	Published
Online	11 Mar 2024
Publication process dates
Accepted	03 Mar 2024
Publisher	Elsevier Sci Ltd
ISSN	0308-521X

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

A - Papers appearing in refereed journals

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

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

A - Papers appearing in refereed journals

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

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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