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• Addy, J. W., Ellis, R. H., Macdonald, A. J., Semenov, M. A. & Mead, A. (2020), `Investigating the effects of inter-annual weather variation (1968-2016) on the functional response of cereal grain yield to applied nitrogen, using data from the Rothamsted Long-Term Experiments', Agricultural and Forest Meteorology 284, 107898. • Addy, J. W., Ellis, R. H., Macdonald, A. J., Semenov, M. A. & Mead, A. (2021), `Changes in agricultural climate in South-Eastern England from 1892 to 2016 and differences in cereal and permanent grassland yield', Agricultural and Forest Meteorology 308, 108560. • Ainsworth, E., Lemonnier, P. & Wedow, J. (2020), `The influence of rising tropospheric carbon dioxide and ozone on plant productivity', Plant Biology 22, 5-11. • Alonso, I., Gregg, R., Elias, J., Crosher, I., Muto, P. & Morecroft, M. (2021), `Carbon storage and sequestration by habitat: a review of the evidence (second edition) '. Natural England Research Report NERR094. Natural England, York. • Argyropoulos, C., Etheridge, A., Sakhanenko, N. & Galas, D. (2017), `Modeling bias and variation in the stochastic processes of small RNA sequencing', Nucleic Acids Research 45(11), e104{e104. • Baca Cabrera, J. C., Hirl, R. T., Schaufele, R., Macdonald, A. & Schnyder, H. (2021), `Stomatal conductance limited the CO2 response of grassland in the last century', BMC Biology 19(1), 50. • Boatman, N. D., Parry, H. R., Bishop, J. D. & Cuthbertson, A. G. (2007), `Impacts of agricultural change on farmland biodiversity in the UK', Issues in Environmental Science and Technology. No. 25. Biodiversity Under Threat pp. 1-32. • Bowley, H. E., Mathers, A. W., Young, S. D., MacDonald, A. J., Ander, E. L., Watts, M. J., Zhao, F. J., McGrath, S., Crout, N. & Bailey, E. H. (2017), `Historical trends in iodine and selenium in soil and herbage at the Park Grass Experiment, Rothamsted Research, UK', Soil Use and Management 33(2), 252-262. • Brookshire, E. & Weaver, T. (2015), `Long-term decline in grassland productivity driven by increasing dryness', Nature Communications 6(1), 1-7. • Brun, P., Zimmermann, N. E., Graham, C. H., Lavergne, S., Pellissier, L., Munkemuller, T. & Thuiller, W. (2019), `The productivity-biodiversity relationship varies across diversity dimensions', Nature Communications 10(1), 1-11. • Carroll, R. J. & Ruppert, D. (1988), Transformation and Weighting in Regression, Vol. 30, CRC Press. • Cashen, R. O. (1947), `The influence of rainfall on the yield and botanical composition of permanent grass at Rothamsted', Journal of Agricultural Science 37, 1-9. • Chandler, M., Sohl, L., Jonas, J., Dowsett, H. & Kelley, M. (2013), `Simulations of the mid-pliocene warm period using two versions of the NASA/GISS modele2-r coupled model', Geoscientific Model Development 6(2), 517-531. • Damesa, T. M., Mohring, J., Forkman, J. & Piepho, H.-P. (2018), `Modeling spatially correlated and heteroscedastic errors in Ethiopian maize trials', Crop Science 58(4), 1575-1586. • DEFRA (2021), `Agriculture in the United Kingdom 2020'. URL: www.gov.uk/government/statistics/agriculture-in-the-united-kingdom-2020 • Dobson, A. J. (1990), An Introduction to Generalized Linear Models, Chapman & Hall. • Feger, K.-H. & Hawtree, D. (2013), Soil carbon and water security, in `Ecosystem services and carbon sequestration in the biosphere', Springer, pp. 79-99. • Fernandez-Tizon, M., Emmenegger, T., Perner, J. & Hahn, S. (2020), `Arthropod biomass increase in spring correlates with NDVI in grassland habitat', The Science of Nature 107(5), 1-7. • Finney, D. J. (1971), Probit Analysis: a statistical treatment of the sigmoid response curve, Cambridge University Press, Cambridge. • Gao, Q., Zhu, W., Schwartz, M. W., Ganjurjav, H., Wan, Y., Qin, X., Ma, X., Williamson, M. A. & Li, Y. (2016), `Climatic change controls productivity variation in global grasslands', Scientific Reports 6(1), 1-10. • Gelman, A. (2006), `Prior distributions for variance parameters in hierarchical models', Bayesian Analysis 1(3), 515-534. • Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A. & Rubin, D. B. (2013), Bayesian Data Analysis, CRC Press. • Hufkens, K., Keenan, T. F., Flanagan, L. B., Scott, R. L., Bernacchi, C. J., • Joo, E., Brunsell, N. A., Verfaillie, J. & Richardson, A. D. (2016), `Productivity of north american grasslands is increased under future climate scenarios despite rising aridity', Nature Climate Change 6(7), 710-714. • Jenkinson, D. S., Potts, J. M., Perry, J. N., Barnett, V., Coleman, K. & Johnston, A. E. (1994), `Trends in herbage yields over the last century on the Rothamsted Long-term Continuous Hay Experiment', Journal of Agricultural Science 122(3), 365-374. • Johnston, A., Goulding, K. & Poulton, P. (1986), `Soil acidification during more than 100 years under permanent grassland and woodland at Rothamsted', Soil Use and Management 2(1), 3-10. • Jones, M. B. & Donnelly, A. (2004), `Carbon sequestration in temperate grassland ecosystems and the inuence of management, climate and elevated CO2', New Phytologist 164(3), 423-439. • Kettlewell, P., Easey, J., Stephenson, D. & Poulton, P. (2006), `Soil moisture mediates association between the winter North Atlantic Oscillation and summer growth in the Park Grass Experiment', Proceedings of the Royal Society B: Biological Sciences 273(1590), 1149-1154. • Kohler, I. H., Macdonald, A. & Schnyder, H. (2012), `Nutrient supply enhanced the increase in intrinsic water-use efficiency of a temperate seminatural grassland in the last century', Global Change Biology 18(11), 3367-3376. • Lawes, J. B. & Gilbert, J. H. (1859), `Report of experiments with different manures on permanent meadow land. Part I Produce of hay per acre', Journal of the Royal Agricultural Society of England 19(1), 552-573. • Lawes, J. B. & Gilbert, J. H. (1880), `Agricultural, botanical and chemical results of experiments on mixed herbage of permanent meadow, conducted for more than 20 years in succession on the same land. Part 1. The agricultural results', Philosophical Transactions of the Royal Society 171, 289-415. • Lazzarotto, P., Calanca, P., Semenov, M. & Fuhrer, J. (2010), `Transient responses to increasing CO2 and climate change in an unfertilized grass-clover sward', Climate Research 41(3), 221-232. • Lee, P. M. (2012), Bayesian Statistics: an Introduction, John Wiley & Sons. • Macdonald, A. J., Poulton, P., Clark, I., Scott, T., Glendining, M., Perryman, S., Storkey, J., Bell, J., Shield, I., Mcmillan, V. & Hawkins, J. (2018), Guide to the Classical and other Long-term experiments, Datasets and Sample Archive, Rothamsted Research. • Marin, J.-M. & Robert, C. P. (2014), Bayesian Essentials with R, Springer. • Marriott, C., Hood, K., Fisher, J. & Pakeman, R. (2009), `Long-term impacts of extensive grazing and abandonment on the species composition, richness, diversity and productivity of agricultural grassland', Agriculture, Ecosystems & Environment 134(3-4), 190-200. • Martin, G., Bellouin, N., Collins, W., Culverwell, I., Halloran, P., Hardiman, S., Hinton, T., Jones, C., McDonald, R., McLaren, A., O'Connor, F. et al. (2011), `The HADGEM2 family of Met Office unified model climate configurations', Geoscientific Model Development 4(3), 723-757. • McCullagh, P. & Nelder, J. A. (1989), Generalized Linear Models, Vol. 37, CRC Press. • McElreath, R. (2020), Statistical Rethinking: A Bayesian course with examples in R and Stan, CRC Press. • Morton, R.D. & Marston, C. A. C. (2021), `Land Cover Map 2020 (10m classified pixels, GB)'. • Moss, R. H., Edmonds, J. A., Hibbard, K. A., Manning, M. R., Rose, S. K., Van Vuuren, D. P., Carter, T. R., Emori, S., Kainuma, M., Kram, T. et al. (2010), `The next generation of scenarios for climate change research and assessment', Nature 463(7282), 747-756. • Muller, H.-G. & Stadtmuller, U. (1987), `Estimation of heteroscedasticity in regression analysis', The Annals of Statistics pp. 610-625. • Neal, R. M. (2010), MCMC using Hamiltonian Dynamics, in S. Brooks, A. Gelman, G. Jones & X. L. Meng, eds, `Handbook of Markov Chain Monte Carlo', Chapman & Hall. • NOAA (2017), `Global Climate Report - Annual 2016.'. URL: https://www.ncdc.noaa.gov/sotc/global/201613 • ONS (2018), `UK natural capital: developing semi-natural grassland ecosystem accounts.'.URL: https://tinyurl.com/2d35zrm5 • Portner, H. O., Roberts, D. C., Adams, H., Adler, C., Aldunce, P., Ali, E., Begum, R. A., Betts, R., Kerr, R. B., Biesbroek, R. et al. (2022), IPCC, 2022: Summary for Policy makers. • Poulton, P., Johnston, J., Macdonald, A., White, R. & Powlson, D. (2018), `Major limitations to achieving “4 per 1000" increases in soil organic carbon stock in temperate regions: Evidence from long-term experiments at Rothamsted Research, United Kingdom', Global Change Biology 24(6), 2563-2584. • Prather, R. M. & Kaspari, M. (2019), `Plants regulate grassland arthropod communities through biomass, quality, and habitat heterogeneity', Ecosphere 10(10), e02909. • Qi, A., Holland, R. A., Taylor, G. & Richter, G. M. (2018), `Grassland futures in Great Britain - productivity assessment and scenarios for land use change opportunities', Science of the Total Environment 634, 1108-1118. • R Core Team (2018), R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing, Vienna, Austria. URL: https://www.R-project.org/ • Rice, J. A. & Silverman, B. W. (1991), `Estimating the mean and covariance structure nonparametrically when the data are curves', Journal of the Royal Statistical Society: Series B (Methodological) 53(1), 233-243. • Runting, R. K., Bryan, B. A., Dee, L. E., Maseyk, F. J., Mandle, L., Hamel, P., Wilson, K. A., Yetka, K., Possingham, H. P. & Rhodes, J. R. (2017), `Incorporating climate change into ecosystem service assessments and decisions: a review', Global Change Biology 23(1), 28-41. • Semenov, M. A. & Stratonovitch, P. (2015), `Adapting wheat ideotypes for climate change: accounting for uncertainties in cmip5 climate projections', Climate Research 65, 123-139. • Semenov, M., Donatelli, M., Stratonovitch, P., Chatzidaki, E. & Baruth, B. (2010), `Elpis: a dataset of local-scale daily climate scenarios for Europe', Climate Research 44(1), 3-15. • Silvertown, J., Dodd, M. E., McConway, K., Potts, J. & Crawley, M. (1994), `Rainfall, biomass variation, and community composition in the Park Grass Experiment', Ecology 75(8), 2430. • Silvertown, J., Poulton, P., Johnston, E., Edwards, G., Heard, M. & Biss, P. M. (2006), `The Park Grass experiment 1856-2006: its contribution to ecology', Journal of Ecology 94(4), 801-814. • Taylor, K. E., Stouffer, R. J. & Meehl, G. A. (2012), `An overview of cmip5 and the experiment design', Bulletin of the American Meteorological Society 93(4), 485-498. • Thornley, J. & Cannell, M. (1997), `Temperate grassland responses to climate change: an analysis using the hurley pasture model', Annals of Botany 80(2), 205-221. • Vehtari, A., Gelman, A. & Gabry, J. (2017), `Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC', Statistics and Computing 27(5), 1413-1432. • Ward, S. E., Smart, S. M., Quirk, H., Tallowin, J. R., Mortimer, S. R., Shiel, R. S., Wilby, A. & Bardgett, R. D. (2016), `Legacy effects of grassland management on soil carbon to depth', Global Change Biology 22(8), 2929-2938. • Watanabe, S. (2010), `Asymptotic equivalence of Bayes cross validation and widely applicable information criterion in singular learning theory.', Journal of Machine Learning Research 11(12). • Watanabe, S. (2013), `A widely applicable Bayesian information criterion', Journal of Machine Learning Research 14(Mar), 867-897. • Welham, S. J., Gezan, S. A., Clark, S. J. & Mead, A. (2014), Statistical Methods in Biology: design and analysis of experiments and regression, CRC Press. • Whitehead, D. C. (2000), Nutrient elements in grassland: soil-plant-animal relationships, CABI Publishing. • Wu, G.-L., Cheng, Z., Alatalo, J. M., Zhao, J. & Liu, Y. (2021), `Climate warming consistently reduces grassland ecosystem productivity', Earth's Future 9(6), e2020EF001837.