2020 publications

Published 3 November 2021

Anwar, M.R., Wang, B., Liu, D.L., Waters, C.M. (2020) Late sowing has great potential to mitigate future climate change on Australian dryland cotton. Science of the Total Environment 714, 136806, https://doi.org/10.1016/j.scitotenv.2020.136806

Badgery, W., Murphy, B., Cowie, A., Orgill, S., Rawson, A., Simmons, A., Crean, J. (2020). Soil carbon market-based instrument pilot–the sequestration of soil organic carbon for the purpose of obtaining carbon credits. Soil Research, 59, 12-33, https://doi.org/10.1071/SR19331

Badgery, W.B., Mwendwa, J.M., Anwar, M.R., Simmons, A.T., Broadfoot, K.M., Rohan, M., Singh, B.P. (2020). Unexpected increases in soil carbon eventually fell in low rainfall farming systems. J Environ Manage 261, 110192, https://doi.org/10.1016/j.jenvman.2020.110192

Baumber, A., Waters, C., Cross, R., Metternicht, G., Simpson, M. (2020). Carbon farming for resilient rangelands: people, paddocks and policy. Rangeland Journal 42, 293-307, https://doi.org/10.1071/rj20034

Chen, C., Wang, B., Feng, P., Xing, H., Fletcher, A.L., Lawes, R.A. (2020). The shifting influence of future water and temperature stress on the optimal flowering period for wheat in Western Australia. Science of The Total Environment 737, 139707, https://doi.org/10.1016/j.scitotenv.2020.139707

Cobon, D.H., Darbyshire, R., Crean, J., Kodur, S., Simpson, M., Jarvis, C. (2020). Valuing Seasonal Climate Forecasts in the Northern Australia Beef Industry. Weather Climate and Society 12, 3-14, https://doi.org/10.1175/wcas-d-19-0018.1

Darbyshire, R., Crean, J., Cashen, M., Anwar, M.R., Broadfoot, K.M., Simpson, M., Cobon, D.H., Pudmenzky, C., Kouadio, L., Kodur, S. (2020). Insights into the value of seasonal climate forecasts to agriculture*. Aust J Agr Resour Ec 64, 1034-1058, https://doi.org/10.1111/1467-8489.12389

Duarte-Guardia, S., Peri, P., Amelung, W., Thomas, E., Borchard, N., Baldi, G., Cowie, A., Ladd, B. (2020). Biophysical and socioeconomic factors influencing soil carbon stocks: a global assessment. Mitigation and Adaptation Strategies for Global Change 25, 1129-1148, https://doi.org/10.1007/s11027-020-09926-1

Feng, P., Wang, B., Liu, D.L., Waters, C., Xiao, D., Shi, L., Yu, Q. (2020). Dynamic wheat yield forecasts are improved by a hybrid approach using a biophysical model and machine learning technique. Agricultural and Forest Meteorology 285-286, 107922, https://doi.org/10.1016/j.agrformet.2020.107922

Feng, P., Wang, B., Luo, J.-J., Liu, D.L., Waters, C., Ji, F., Ruan, H., Xiao, D., Shi, L., Yu, Q. (2020). Using large-scale climate drivers to forecast meteorological drought condition in growing season across the Australian wheatbelt. Science of The Total Environment 724, 138162, https://doi.org/10.1016/j.scitotenv.2020.138162

Lawton, D., Waters, C.M., Le Gall, M., Cease, A. (2020). Woody vegetation remnants within pastures influence locust distribution: Testing bottom-up and top-down control. Agriculture, Ecosystems and Environment 296:106931, https://doi.org/10.1016/j.agee.2020.106931

Li, X., Zhang, L., J. O’Connor, P., Yan, J., Wang, B., Liu, D.L., Wang, P., Wang, Z., Wan, L., Li, Y. (2020). Ecosystem Services under Climate Change Impact Water Infrastructure in a Highly Forested Basin. Water 12, https://doi.org/10.3390/w12102825

Liu, D.L., Ji, F., Wang, B., Waters, C., Feng, P., Darbyshire, R. (2020). The implication of spatial interpolated climate data on biophysical modelling in agricultural systems. Int J Climatol 40, 2870-2890, https://doi.org/10.1002/joc.6371

McDonald, S.E., Reid, N., Smith, R., Waters, C.M., Hunter, J., and Rader, R. (2020). Comparison of biodiversity and ground cover between a commercial rotationally grazed property and an adjacent nature reserve in semi-arid rangeland. Austral Ecology, 45, 60-69, https://doi.org/10.1111/aec.12829

Nielsen, U.N., Stafford-Smith, M., Metternicht, G.I., Ash, A., Baumber, A., Boer, M.M., Booth, S., Burnside, D., Churchill, A.C., Hassan, M.E., Friedel, M.H., Godde, C.M., Kelly, D., Kelly, M., Leys, J.F., McDonald, S.E., Maru, Y.T., Phelps, D.G., Ridges, M., Simpson, G. Traill, B., Walker, B., Waters, C.M., Whyte, A.W. (2020). Challenges, solutions and research priorities for sustainable rangelands and their communities. The Rangeland Journal, 42: 359-373, https://doi.org/10.1071/RJ20059

Shi, L., Feng, P., Wang, B., Li Liu, D., Cleverly, J., Fang, Q., Yu, Q. (2020). Projecting potential evapotranspiration change and quantifying its uncertainty under future climate scenarios: A case study in southeastern Australia. Journal of Hydrology 584, 124756, https://doi.org/10.1016/j.jhydrol.2020.124756

Shi, L., Feng, P., Wang, B., Liu, D.L., Yu, Q. (2020). Quantifying future drought change and associated uncertainty in southeastern Australia with multiple potential evapotranspiration models. Journal of Hydrology 590, 125394, https://doi.org/10.1016/j.jhydrol.2020.125394

Simmons, A.T., Cowie, A.L., Brock, P.M. (2020). Climate change mitigation for Australian wheat production. Science of The Total Environment 725, 138260, https://doi.org/10.1016/j.scitotenv.2020.138260

Simpson, M., Dominiak, B.C., McGowen, I.J., Crean, J.J., Sides, T.J.F. (2020). Bioclimatic niche modelling projects a potential shift in distribution and abundance of Queensland fruit fly Bactrocera tryoni in Australia. General Applied Entomology 48, 61-74,

Wang, B., Feng, P., Liu, D.L., O’Leary, G.J., Macadam, I., Waters, C., Asseng, S., Cowie, A., Jiang, T., Xiao, D., Ruan, H., He, J., Yu, Q. (2020). Sources of uncertainty for wheat yield projections under future climate are site-specific. Nature Food 1, 720-728, https://doi.org/10.1038/s43016-020-00181-w

Wang, B., Feng, P., Liu, D.L., Waters, C. (2020). Modelling biophysical vulnerability of wheat to future climate change: A case study in the eastern Australian wheat belt. Ecological Indicators 114, 106290, https://doi.org/10.1016/j.ecolind.2020.106290

Wang, B., Feng, P., Waters, C., Cleverly, J., Liu, D.L., Yu, Q. (2020). Quantifying the impacts of pre-occurred ENSO signals on wheat yield variation using machine learning in Australia. Agricultural and Forest Meteorology 291, 108043, https://doi.org/10.1016/j.agrformet.2020.108043

Waters, C.M., McDonald, S., Reseigh, J., Burnside, D., Grant, R. (2020). Insights on the relationship between total grazing pressure management and sustainable land management: key indicators to verify impacts. The Rangeland Journal, 41, 535-556, https://doi.org/10.1071/RJ19078

Xiao D., Liu D.L., Wang B., Feng P., Waters C.M. (2020) Designing high-yielding maize ideotypes to adapt changing climate in the North China Plain. Agricultural Systems, 181, 102805, https://doi.org/10.1016/j.agsy.2020.102805

Zhang, H., Wang, B., Liu, D.L., Zhang, M., Leslie, L.M., Yu, Q. (2020). Using an improved SWAT model to simulate hydrological responses to land use change: A case study of a catchment in tropical Australia. Journal of Hydrology, 585, 124822, https://doi.org/10.1016/j.jhydrol.2020.124822

Zhang, M., Wang, B., Liu, D.L., Liu, J., Zhang, H., Feng, P., Kong, D., Cleverly, J., Yang, X., Yu, Q. (2020). Incorporating dynamic factors for improving a GIS-based solar radiation model. Transactions in GIS, 24, 423-441, https://doi.org/10.1111/tgis.12607