References
ADAS, (2014), The Economic Impact of 2014 Winter Floods on Agriculture
in England. ADAS: Wolverhamption, UK. p. 46pp.
Alexander, L., X. Zhang, G. Hegerl, S. Senevirantne, A. Behrangi, E.
Fischer, (2016), Implementation Plan for WCRP Grand Challenge on
Understanding and Predicting Weather and Climate Extremes. The ”Extremes
Grand Challenge”, W.C.R. Program, Editor. Geneva. pp. 33
Alfieri, L., P. Burek, L. Feyen, and G. Forzieri, (2015), Global warming
increases the frequency of river floods in Europe. Hydrology and
Earth System Sciences , 19: 2247-2260.
Burke, E.J., R.H. Perry, and S.J. Brown, (2010), An extreme value
analysis of UK drought and projections of change in the future.Journal of Hydrology , 388: 131-143.
Channel 4 News. (2012), The wettest drought on record . [cited
2018 14/05/18]; Available from:
https://www.channel4.com/news/the-wettest-drought-on-record
Chen, Y. and P. Zhai, (2013), Persistent extreme precipitation events in
China during 1951-2010. Climate Research , 57: 143-153.
Committee on Climate Change. (2018), Land use: Reducing emissions and
preparing for climate change. 2018, Committe on Climate Change .
pp 1 - 100.
DEFRA, (2019), Water Abstraction Statisitics: England 2000 - 2017. p. 4.
DEFRA, (2019), The Future of Farming and Environment Evidence
Compendium. p. 122.
DEFRA, (2018) Agriculture in the U.K. 2018 . p. 119.
De Palma, A., R.L.H. Dennis, T. Brereton, S.R. Leather, and T.H. Oliver,
(2017), Large reorganizations in butterfly communities during an extreme
weather event. Ecography, 40: 577-5852
E.F.F.I.S. (2019); Available from:
http://effis.jrc.ec.europa.eu/static/effis_stats/effis-estimates/GB,
(acessed 12/07/19)
Environment Agency, (2006), The impact of climate change on severe
droughts. Major droughts in England and Wales from 1800 and evidence of
impact. Bristol UK. p. 54pp.
Fowler, H.J. and C.G. Kilsby, (2003) A regional frequency analysis of
United Kingdom extreme rainfall from 1961 to 2000. International
Journal of Climatology , 23: 1313-1334.
Froidevaux, P., J. Schwanbeck, R.M. Weingartner, C. Chevalier, O.
Martins, (2015) Flood triggering in Switzerland: The role of daily to
monthly preceding precipitation. Hydrology and Earth System
Sciences, 19: 3903-3924.
Heim, R.R., (2002), A Review of Twentieth-Century Drought Indices Used
in the United States. Bulletin of the American
Meteorological Society, 83:1149-1166.
Hohner, A.K., C.C. Rhoades, P. Wilkerson, F.L. Rosario-Ortiz,
(2019), Wildfires Alter Forest Watersheds and Threaten Drinking
Water Quality. Accounts of Chemical Research , 52:
1234-1244.
IPCC, (2013), Climate Change 2013: The Physical Science Basis.
Contribution of Working Group I to the Fifth Assessment Report of the
Intergovernmental Panel on Climate Change, T.F. Stocker, et al.,
Editors. Cambridge University Press, Cambridge, United Kingdom and New
York, NY, USA. p. 1535pp.
Johnstone, J.F., C.D. Allen, J.F. Franklin, L.E. Frelich, B.J. Harvey,
P.E. Higuera et al., (2016), Changing disturbance regimes,
ecological memory, and forest resilience. Frontiers in Ecology and
the Environment 14: 369-378.
Kaushal, S.S., A.J. Gold, S. Bernal, and J.L Tank, (2018), Diverse water
quality responses to extreme climate events: an introduction.Biogeochemistry, 141: 273-279.
Kendon, E.J., N.M. Roberts, H.J. Fowler, M.J. Roberts, S.C. Chan, and
C.A. Senior, (2014) Heavier summer downpours with climate change
revealed by weather forecast resolution model. Nature Climate
Change , 4: 570-576.
Kim, D.G., R. Vargas, B. Bond-Lamberty, and M.R. Turetsky, (2012),
Effects of soil rewetting and thawing on soil gas fluxes: a review of
current literature and suggestions for future research.Biogeosciences , 9: 2459-2483.
Lavers, D.A., R.P. Allan, E.F. Wood, G. Villarini, D.J. Brayshaw, A.J.
Wade, (2011), Winter floods in Britain are connected to atmospheric
rivers. Geophysical Research Letters , 38. L23803
Lee, M. and J. Lee, (2019), Trend and Return Level of Extreme Snow
Events in New York City. The American Statistician .
DOI: 10.1080/00031305.2019.1592780
Liu, X., L.G. Huey, R.J Yokelson, V. Selimovic, I.J. Simpson, M. Müller,
J.L. Jimenez, et al. , (2017), Airborne measurements of western
U.S. wildfire emissions: Comparison with prescribed burning and air
quality implications. Journal of Geophysical Research:
Atmospheres , 122: 6108-6129.
Loecke, T.D., A.J. Burgin, D.A. Riveros-Iregui, A.S. Ward, S.A. Thomas,
C.A. Davis, et al., (2017), Weather whiplash in agricultural regions
drives deterioration of water quality. Biogeochemistry, 133:
7-15.
Mahony, C.R. and A.J. Cannon, (2018), Wetter summers can intensify
departures from natural variability in a warming climate. Nature
Communications , 9: 783.
Marotzke, J., C. Jakob, S. Bony, P.A. Dirmeyer, P.A. O’Gorman, E.
Hawkins, et al., (2017), Climate research must sharpen its view.Nature Climate Change, 7: 89-91.
Matusick G., K.X. Ruthrof, C.N. Brouwers, B. Dell, and G.E.J. Hardy,
(2013), Sudden forest canopy collapse corresponding with extreme drought
and heat in a mediterranean-type eucalypt forest in southwestern
Australia. European Journal of Forest Research. 132: 497-510.
Mazdiyasni, O. and A. AghaKouchak, (2015), Substantial increase in
concurrent droughts and heatwaves in the United States.Proceedings of the National Academy of Sciences of the United
States of America, 112: 11484-11489.
Nolan, R.H., M.M. Boer, L. Collins, V. Resco de Dios, H. Clarke, M.
Jenkins, et al. (2020) Causes and consequences of eastern
Australia’s 2019 - 2020 season of mega-fires. Global Change
Biology . 26: 1039 - 1041.
Parsons, D.J., R. Dolores, T. Maliko and I.P. Holman, (2019), Regional
variations in the link between drought indices and reported agricultural
impacts of drought. Agricultural Systems , 173: 119-129.
Pendergrass, A.G. and R. Knutti, (2018) The Uneven Nature of Daily
Precipitation and Its Change. Geophysical Research
Letters , 45: 11980 - 11988.
Perry, M. and D. Hollis, (2005), The generation of monthly gridded
datasets for a range of climatic variables over the UK.International Journal of Climatology, 25: 1041-1054.
Petrakis, S., A. Seyfferth, J. Kan, S. Inamdar, and R. Vargas, (2017),
Influence of experimental extreme water pulses on greenhouse gas
emissions from soils. Biogeochemistry , 133: 147-164.
R Core Team, (2019), R: A language and environment for statisical
computing. 2019, R Foundation for Statiscal Computing: Vienna,
Austria.
Reichstein, M., M. Bahn, P. Ciais, D. Frank, M.D. Mahecha, S.I.
Seneviratne et al., (2013) Climate extremes and the carbon
cycle. Nature, 500: 287.
Roudier, P., J.C.M. Andersson, C. Donnelly, L. Feyen, W. Greuell, and F.
Ludwig, (2016) Projections of future floods and hydrological droughts in
Europe under a +2°C global warming. Climatic Change , 135:
341-355.
Rowland, C.S., D. Morton, L. Carrasci Tornero, G. McShane, A. O’Niel,
and C. Wood, (2017), Land Cover Map 2015 (vector, GB). 2017, NERC
Environmental Information Data Centre.
Schimel, J., T.C. Balser, and M. Wallenstein, (2007) Microbial
stress-response physilogy and its implications for ecosystem function.Ecology , 88: 1386-1394.
Song, L., Y. Li, X. Wu, B. Guo, X. Tang, W. Shi, et al., (2019)
Divergent vegetation responses to extreme spring and summer droughts in
Southwestern China. Agricultural and Forest Meteorology , 279:
107703.
Stratford, C., J. Miller, A. House, G. Old, M. Acreman, M.A.
Duenas-Lopez, et al. , (2017), Do trees in UK-relevant river
catchments influence fluvial flood peaks? Centre for Ecology and
Hydrology. 46 pp.
Swain, D.L., B. Langenbrunner, J.D. Neelin, and A. Hall, (2018)
Increasing precipitation volatility in twenty-first-century
California. Nature Climate Change, 8: 427-433.
The Guardian. 2019 was a bad year for floods and drought in England, say
charities. 2020. Available from
https://www.theguardian.com/environment/2020/mar/16/2019-was-bad-year-for-floods-and-drought-in-england-say-charities.
Thompson, V., N.J. Dunstone, A.A. Scaife, D.M. Smith, J.M. Slingo, S.
Brown, et al., (2017) High risk of unprecedented UK rainfall in the
current climate. Nature Communications , 8: 107.
Teuling, A.J., (2018), A hot future for European droughts. Nature
Climate Change , 8: 364-365.
U.S. Government, (2018), U.S Drought Portal. [cited 2018 7/11/18];
Available from: https://www.drought.gov/drought/states/california.
Vogel, E., M.G. Donat, L.V. Alexander, M. Meinshausen, D.K. Ray, D.
Karoly, et al. , (2019) The effects of climate extremes on global
agricultural yields. Environ. Res. Lett. , 14: 054010.
Wood, S.N., (2017), Generalized additive models: an introduction with R.
2nd Edition ed. Texts in Statistical Science. Boca Raton, Florida:CRC Press . 146.
Wood, S.N., N. Pya, and B. Säfken, (2016), Smoothing Parameter and Model
Selection for General Smooth Models. Journal of the American
Statistical Association . 111: 1548-1563.
World Economic Forum, (2018), The Global Risks Report 2018. Geneva. p.
pp66.
World Meteorological Organization, (2017), WMO guidelines on the
claculation of climate normals. World Meterological Organization,Geneva, Switzerland. p. 29.
World Meteorological Organization, (2018) Draft guidelines on the
definition and monitoring of extreme weather and climate events,World Meterological Organization : Geneva. p. 43pp.
Yin, J., P. Gentine, S. Zhou, S.C. Sullivan, R. Wang, Y. Zhang, et
al., (2018), L arge increase in global storm runoff extremes
driven by climate and anthropogenic changes. Nature
Communications , 9: 4389.
Youngman, B.D. and T. Economou, (2017), Generalised additive point
process models for natural hazard occurrence.Environmetrics , 28: e2444.
Zampieri, M., A. Ceglar, F. Dentener, and A. Toreti, (2017). Wheat yield
loss attributable to heat waves, drought and water excess at the global,
national and subnational scales. Environ. Res. Let. . 12: 064008.
Zhang, X., L. Alexander, G.C. Hegerl, P. Jones, A.K. Tank, T.C.
Peterson, et al ., (2011) Indices for monitoring changes in
extremes based on daily temperature and precipitation data. Wiley
Interdisciplinary Reviews: Climate Change , 2: 851-870.
Zscheischler, J., A.M. Michalak, C. Schwalm, M.D. Mahecha, D.N.
Huntzinger, M. Reichstein, et al. , (2014) Impact of large-scale
climate extremes on biospheric carbon fluxes: An intercomparison based
on MsTMIP data. Global Biogeochemical Cycles , 28: 585-600.
Acknowledgements All authors acknowledge the financial support
provided by the Welsh Government and Higher Education Funding Council
for Wales through the Sêr Cymru National Research Network for Low
Carbon, Energy and Environment (SCNR-LCEE). We thank Alison
Kingston-Smith, Dimitra Loka, Felicity Hayes, and Mike Humphreys for
initial discussions on this project. We also acknowledge the valuable
feedback provided by David Thomas and the SCNR-LCEE Management Board on
the weather scenarios used here.
Figures and tables:
Main Text:
Figure 1: Change in the annual frequency of threshold exceedance between
the period 1961 - 1988 and 1989 - 2016. Positive numbers denote an
increase and negative numbers denote a decrease. A value of 1.0
corresponds to one additional event per year and a value of - 1.0
corresponds to one fewer event per year. Areas of significant change
(p<0.05) are denoted by hatching.
Figure 2: Change in the frequency of spells of (a) winter growing
conditions and (b) spring dry spells between the period 1961 - 1988 and
1989 - 2016. Significant areas of change (p<0.05) denoted by
hatching.
Figure 3: Total area (ha) of vulnerable ecosystem category exposed to a
significant increase in the frequency of a) single stress event types
and b) multiple stress event types.
Figure 4: Co-occurrence of a significant increase in the frequency of
threshold exceedance of each event type at the p < 0.05
significant level (a) and the interaction with vulnerable land use
category: agriculture (b), woodlands (c), Conservation areas (d) and
carbon stores (e).