Register      Login
International Journal of Wildland Fire International Journal of Wildland Fire Society
Journal of the International Association of Wildland Fire
RESEARCH ARTICLE (Open Access)

Vegetation phenology as a key driver for fire occurrence in the UK and comparable humid temperate regions

Tadas Nikonovas https://orcid.org/0000-0001-7045-9077 A * , Cristina Santín A B , Claire M. Belcher C , Gareth D. Clay D , Nicholas Kettridge E , Thomas E. L. Smith F and Stefan H. Doerr A
+ Author Affiliations
- Author Affiliations

A Centre for Wildfire Research, Swansea University, Singleton Park, Swansea, SA2 8PP, UK.

B Biodiversity Research Institute (IMIB; CSIC – Universidad de Oviedo – Principality of Asturias), Mieres, 33600, Spain.

C wildFIRE Lab, Hatherly Laboratories, University of Exeter, Prince of Wales Road, Exeter, EX4 4PS, UK.

D Department of Geography, University of Manchester, Oxford Road, Manchester, M13 9PL, UK.

E School of Geography, Earth and Environmental Sciences, University of Birmingham, Edgbaston, Birmingham, B15 2TT, UK.

F Department of Geography and Environment, London School of Economics and Political Science, London, UK.

* Correspondence to: tadas.nik@gmail.com

International Journal of Wildland Fire 33, WF23205 https://doi.org/10.1071/WF23205
Submitted: 5 January 2024  Accepted: 31 August 2024  Published: 25 September 2024

© 2024 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of IAWF. This is an open access article distributed under the Creative Commons Attribution 4.0 International License (CC BY).

Abstract

Background

Fire activity in the UK and comparable regions of northwest Europe is generally out of phase with peak fire weather conditions.

Aims

Here, we assess the potential effect of phenology on fire occurrence patterns for the UK.

Methods

We examined fire occurrence and vegetation phenology in the UK for 2012–2023, mapped onto the main fire-affected vegetation cover types within distinct precipitation regions, allowing the fire occurrence for fuels in different phenological phases to be explored across distinct ‘fuel’ types and regions.

Key results

The UK’s fire regime is characterised by burning in semi-natural grasslands and evergreen dwarf shrub ecosystems in early spring when vegetation is still dormant. During the high-greenness phase in late spring and summer, fire activity is reduced by a factor of 5–6 despite typically elevated fire weather conditions within that period.

Conclusions and implications

Semi-natural vegetation in the UK is very resistant to burning during the high-greenness phase. However, this ‘fire barrier’ is diminished during severe drought episodes, which are predicted to become more extreme in the coming decades. Incorporating phenology information into models therefore has great potential for improving future fire danger and behaviour predictions in the UK and comparable humid temperate regions.

Keywords: active fire detections, flammability, humid temperate regions, land cover, phenology, Suomi-NPP, vegetation fuels, VIIRS, wildfire regimes.

References

Abatzoglou JT, Williams AP, Boschetti L, Zubkova M, Kolden CA (2018) Global patterns of interannual climate–fire relationships. Global Change Biology 24, 5164-5175.
| Crossref | Google Scholar | PubMed |

Albertson K, Aylen J, Cavan G, McMorrow J (2009) Forecasting the outbreak of moorland wildfires in the English Peak District. Journal of Environmental Management 90(8), 2642-2651.
| Crossref | Google Scholar | PubMed |

Alexander LV, Jones PD (2000) Updated precipitation series for the UK and discussion of recent extremes. Atmospheric Science Letters 1(2), 142-150.
| Crossref | Google Scholar |

Arnell NW, Freeman A, Gazzard R (2021) The effect of climate change on indicators of fire danger in the UK. Environmental Research Letters 16(4), 044027.
| Crossref | Google Scholar |

Beverly JL, Wotton BM (2007) Modelling the probability of sustained flaming: predictive value of Fire Weather Index components compared with observations of site weather and fuel moisture conditions. International Journal of Wildland Fire 16, 161-173.
| Crossref | Google Scholar |

Cardíl A, Tapia VM, Monedero S, Quiñones T, Little K, Stoof CR, Ramirez J, de-Miguel S (2023) Characterizing the rate of spread of large wildfires in emerging fire environments of northwestern Europe using Visible Infrared Imaging Radiometer Suite active fire data. Natural Hazards and Earth System Sciences 23(1), 361-373.
| Crossref | Google Scholar |

Cruz MG, Gould JS, Kidnie S, Bessell R, Nichols D, Slijepcevic A (2015) Effects of curing on grassfires: II Effect of grass senescence on the rate of fire spread. International Journal of Wildland Fire 24, 838-848.
| Crossref | Google Scholar |

Cruz MG, Alexander ME, Fernandes PM (2022) Evidence for lack of a fuel effect on forest and shrubland fire rates of spread under elevated fire danger conditions: implications for modelling and management. International Journal of Wildland Fire 31, 471-479.
| Crossref | Google Scholar |

Davies GM, Legg CJ (2011) Fuel moisture thresholds in the flammability of Calluna vulgaris. Fire Technology 47, 421-436.
| Crossref | Google Scholar |

Davies GM, Legg CJ (2016) Regional variation in fire weather controls the reported occurrence of Scottish wildfires. PeerJ 4, e2649.
| Crossref | Google Scholar | PubMed |

Davies GM, Legg CJ, Smith AA, MacDonald AJ (2009) Rate of spread of fires in Calluna vulgaris‐dominated moorlands. Journal of Applied Ecology 46(5), 1054-1063.
| Crossref | Google Scholar |

Davies GM, Legg CJ, O’Hara R, MacDonald AJ, Smith AA (2010) Winter desiccation and rapid changes in the live fuel moisture content of Calluna vulgaris. Plant Ecology & Diversity 3, 289-299.
| Crossref | Google Scholar |

Davies GM, Gray A, Rein G, Legg CJ (2013) Peat consumption and carbon loss due to smouldering wildfire in a temperate peatland. Forest Ecology and Management 308, 169-177.
| Crossref | Google Scholar |

de Jong MC, Wooster MJ, Kitchen K, Manley C, Gazzard R, McCall FF (2016) Calibration and evaluation of the Canadian Forest Fire Weather Index (FWI) System for improved wildland fire danger rating in the United Kingdom. Natural Hazards and Earth System Sciences 16(5), 1217-1237.
| Crossref | Google Scholar |

Dickman LT, Jonko AK, Linn RR, Altintas I, Atchley AL, Bär A, Collins AD, Dupuy JL, Gallagher MR, Hiers JK, Hoffman CM, Hood SM, Hurteau MD, Jolly WM, Josephson A, Loudermilk EL, Ma W, Michaletz ST, Nolan RH, O’Brien JJ, Parsons RA, Partelli-Feltrin R, Pimont F, Resco de Dios V, Restaino J, Robbins ZJ, Sartor KA, Schultz-Fellenz E, Serbin SP, Sevanto S, Shuman JK, Sieg CH, Skowronski NS, Weise DR, Wright M, Xu C, Yebra M, Younes N (2023) Integrating plant physiology into simulation of fire behavior and effects. New Phytologist 238, 952-970.
| Crossref | Google Scholar | PubMed |

Didan K, Barreto A (2018) VIIRS/NPP Vegetation Indices 16-Day L3 Global 500m SIN Grid V001. NASA EOSDIS Land Processes DAAC. Available at 10.5067/VIIRS/VNP13A1.001 [Verified 1 December 2023]

Forestry Commission (2023) Wildfire statistics for England 2009-10 to 2020–2021. Available at https://assets.publishing.service.gov.uk/media/63ecff77d3bf7f62edc835a1/FC-Wildfire-statistics-for-England-Report-to-2020-21-.pdf [Verified 12 December 2023]

Gazzard R, McMorrow J, Aylen J (2016) Wildfire policy and management in England: an evolving response from Fire and Rescue Services, forestry and cross-sector groups. Philosophical Transactions of the Royal Society B: Biological Sciences 371, 20150341.
| Crossref | Google Scholar | PubMed |

Gregory JM, Jones PD, Wigley TML (1991) Precipitation in Britain: an analysis of area-average data updated to 1989. International Journal of Climatology 11, 331-345.
| Crossref | Google Scholar |

Grillakis M, Voulgarakis A, Rovithakis A, Seiradakis KD, Koutroulis A, Field RD, Kasoar M, Papadopoulos A, Lazaridis M (2022) Climate drivers of global wildfire burned area. Environmental Research Letters 17, 045021.
| Crossref | Google Scholar |

Harper A, Doerr SH, Santín C, Froyd C, Sinnadurai P (2018) Prescribed fire and its impacts on ecosystem services in the UK. Science of the Total Environment 624, 691-703.
| Crossref | Google Scholar | PubMed |

Jackson DL (2000) Guidance on the interpretation of the Biodiversity Broad Habitat Classification (terrestrial and freshwater types): definitions and the relationship with other classifications, JNCC Report No. 307, JNCC, Peterborough, ISSN 0963-8091. Available at https://data.jncc.gov.uk/data/0b7943ea-2eee-47a9-bd13-76d1d66d471f/JNCC-Report-307-SCAN-WEB.pdf [Verified 15 September 2023]

Jiang Z, Huete AR, Didan K, Miura T (2008) Development of a two-band enhanced vegetation index without a blue band. Remote Sensing of Environment 112(10), 3833-3845.
| Crossref | Google Scholar |

Jolly WM, Johnson DM (2018) Pyro-ecophysiology: shifting the paradigm of live wildland fuel research. Fire 1, 8.
| Crossref | Google Scholar |

Jolly WM, Hintz J, Linn RL, Kropp RC, Conrad ET, Parsons RA, Winterkamp J (2016) Seasonal variations in red pine (Pinus resinosa) and jack pine (Pinus banksiana) foliar physio-chemistry and their potential influence on stand-scale wildland fire behavior. Forest Ecology and Management 373, 167-178.
| Crossref | Google Scholar |

Jones MW, Abatzoglou JT, Veraverbeke S, Andela N, Lasslop G, Forkel M, Smith AJ, Burton C, Betts RA, van der Werf GR, Sitch S, Canadell JG, Santín C, Kolden C, Doerr SH, Quere C (2022) Global and regional trends and drivers of fire under climate change. Reviews of Geophysics 60, e2020RG000726.
| Crossref | Google Scholar |

Kelly J, Ibáñez TS, Santín C, Doerr SH, Nilsson MC, Holst T, Lindroth A, Kljun N (2021) Boreal forest soil carbon fluxes one year after a wildfire: effects of burn severity and management. Global Change Biology 27(17), 4181-95.
| Crossref | Google Scholar | PubMed |

Kidnie S, Wotton BM (2015) Characterisation of the fuel and fire environment in southern Ontario’s tallgrass prairie. International Journal of Wildland Fire 24, 1118-1128.
| Crossref | Google Scholar |

Kidnie S, Cruz MG, Gould J, Nichols D, Anderson W, Bessell R (2015) Effects of curing on grassfires: I. Fuel dynamics in a senescing grassland. International Journal of Wildland Fire 24, 828-837.
| Crossref | Google Scholar |

Lees KJ, Artz RRE, Chandler D, Aspinall T, Boulton CA, Buxton J, Cowie NR, Lenton TM (2021) Using remote sensing to assess peatland resilience by estimating soil surface moisture and drought recovery. Science of the Total Environment 761, 143312.
| Crossref | Google Scholar | PubMed |

Macias Fauria M, Michaletz ST, Johnson EA (2011) Predicting climate change effects on wildfires requires linking processes across scales. WIREs Climate Change 2, 99-112.
| Crossref | Google Scholar |

Maltby E, Legg CJ, Proctor MCF (1990) The ecology of severe moorland fire on the North York Moors: effects of the 1976 fires, and subsequent surface and vegetation development. Journal of Ecology 78, 490-518.
| Crossref | Google Scholar |

Met Office (2023) England and Wales Fire Severity Index. Available at https://www.metoffice.gov.uk/public/weather/fire-severity-index [Verified 18 September 2023]

Morton RD, Marston CG, O’Neil AW, Rowland CS (2020a) Land Cover Map 2018 (20-m classified pixels, GB). NERC Environmental Information Data Centre. Available at https://doi.org/10.5285/b3dfc4c7-c9bd-4a02-bed8-46b2a41be04a [Verified 18 September 2023]

Morton RD, Marston CG, O’Neil AW, Rowland CS (2020b) Land Cover Map 2018 (20m classified pixels, N. Ireland). NERC Environmental Information Data Centre. Available at https://doi.org/10.5285/cf5050d8-495d-45a6-9e2e-bba5239284c2 [Verified 18 September 2023]

Parisien MA, Barber QE, Flannigan MD, Jain P (2023) Broadleaf tree phenology and springtime wildfire occurrence in boreal Canada. Global Change Biology 29, 6106-6119.
| Crossref | Google Scholar | PubMed |

Perry MC, Vanvyve E, Betts RA, Palin EJ (2022) Past and future trends in fire weather for the UK. Natural Hazards and Earth System Sciences 22(2), 559-575.
| Crossref | Google Scholar |

Pimont F, Ruffault J, Martin-StPaul NK, Dupuy JL (2019) Why is the effect of live fuel moisture content on fire rate of spread underestimated in field experiments in shrublands? International Journal of Wildland Fire 28, 127-137.
| Crossref | Google Scholar |

Rein G, Cleaver N, Ashton C, Pironi P, Torero JL (2008) The severity of smouldering peat fires and damage to the forest soil. CATENA 74(3), 304-309.
| Crossref | Google Scholar |

Ruffault J, Martin-StPaul N, Pimont F, Dupuy JL (2018) How well do meteorological drought indices predict live fuel moisture content (LFMC)? An assessment for wildfire research and operations in Mediterranean ecosystems. Agricultural and Forest Meteorology 262, 391-401.
| Crossref | Google Scholar |

Salim KA, Carter PL, Shaw S, Smith CA (1988) Leaf abscission zones in Molinia caerulea (L.) Moench, the purple moor grass. Annals of Botany 62, 429-434.
| Crossref | Google Scholar |

San-Miguel-Ayanz J, Durrant T, Boca R, Maianti P, Libertá G, Artés-Vivancos T, Oom, D, Branco A, de Rigo D, Ferrari D, Pfeiffer H, Grecchi R, Onida M, Löffler P (2022) Forest fires in Europe, Middle East and North Africa 2021. (Publications Office of the European Union: Luxembourg) 10.2760/34094, JRC130846

Santana VM, Marrs RH (2014) Flammability properties of British heathland and moorland vegetation: models for predicting fire ignition. Journal of Environmental Management 139, 88-96.
| Crossref | Google Scholar | PubMed |

Santín C, Moustakas A, Doerr HS (2023) Searching the flames: trends in global and regional public interest in wildfires. Environmental Science & Policy 146, 151-161.
| Crossref | Google Scholar |

Schroeder W, Oliva P, Giglio L, Csiszar I (2014) The new VIIRS 375-m active fire detection data product: algorithm description and initial assessment. Remote Sensing of Environment 143, 85-96.
| Crossref | Google Scholar |

Sedano F, Randerson JT (2014) Multi-scale influence of vapor pressure deficit on fire ignition and spread in boreal forest ecosystems. Biogeosciences 11, 3739-3755.
| Crossref | Google Scholar |

Sjöström J, Granström A (2023) A phenology-driven fire danger index for northern grasslands. International Journal of Wildland Fire 32, 1332-1346.
| Crossref | Google Scholar |

Stoof CR, Kok E, Cardil A, van Marle MJE (2024) In temperate Europe, fire is already here: the case of The Netherlands. Ambio 53, 604-623.
| Crossref | Google Scholar | PubMed |

Vandvik V, Töpper JP, Cook Z, Daws MI, Heegaard E, Måren IE, Velle LG (2014) Management-driven evolution in a domesticated ecosystem. Biology Letters 10, 20131082.
| Crossref | Google Scholar | PubMed |

Van Wagner CE (1977) Conditions for the start and spread of crown fire. Canadian Journal of Forest Research 7, 23-34.
| Crossref | Google Scholar |

Van Wagner CE (1987) Development and structure of the Canadian Forest Fire Weather Index system. Vol. 35. Forestry Technical Report. p. 37. (Ottawa, Ontario) Available at https://cfs.nrcan.gc.ca/publications?id=19927 [accessed 1 December 2023]

Viegas DX, Piñol J, Viegas MT, Ogaya R (2001) Estimating live fine fuels moisture content using meteorologically based indices. International Journal of Wildland Fire 10, 223-240.
| Crossref | Google Scholar |

Vitolo C, Di Giuseppe F, Barnard C, et al. (2020) ERA5-based global meteorological wildfire danger maps. Scientific Data 7, 216.
| Crossref | Google Scholar | PubMed |

Weir JR, Limb RF (2013) Seasonal variation in flammability characteristics of Quercus marilandica and Quercus stellata leaf litter burned in the laboratory. Fire Ecology 9, 80-88.
| Crossref | Google Scholar |

Weise DR, Zhou X, Sun L, Mahalingam S (2005) Fire spread in chaparral—‘go or no-go?’. International Journal of Wildland Fire 14, 99-106.
| Crossref | Google Scholar |

Wotton BM (2009) A grass moisture model for the Canadian Forest Fire Danger Rating System. In ‘Eighth Symposium on Fire and Forest Meteorology’. (Eds BE Potter, TJ Brown) pp. 13–15. (American Meteorological Society: Boston, MA, USA)

Wotton BM, Beverly JL (2007) Stand-specific litter moisture content calibrations for the Canadian Fine Fuel Moisture Code. International Journal of Wildland Fire 16, 463-472.
| Crossref | Google Scholar |

Yule EL, Hegerl G, Schurer A, Hawkins E (2023) Using early extremes to place the 2022 UK heat waves into historical context. Atmospheric Science Letters 24, e1159.
| Crossref | Google Scholar |

Zhang X, Liu L, Liu Y, Jayavelu S, Wang J, Moon M, Henebry GM, Friedl MA, Schaaf CB (2018) Generation and evaluation of the VIIRS land surface phenology product. Remote Sensing of Environment 216, 212-229.
| Crossref | Google Scholar |