The global wildland-urban interface.
Journal
Nature
ISSN: 1476-4687
Titre abrégé: Nature
Pays: England
ID NLM: 0410462
Informations de publication
Date de publication:
Sep 2023
Sep 2023
Historique:
received:
12
05
2023
accepted:
14
06
2023
medline:
8
9
2023
pubmed:
20
7
2023
entrez:
19
7
2023
Statut:
ppublish
Résumé
The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle
Identifiants
pubmed: 37468636
doi: 10.1038/s41586-023-06320-0
pii: 10.1038/s41586-023-06320-0
pmc: PMC10482693
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
94-99Informations de copyright
© 2023. The Author(s).
Références
Radeloff, V. C. et al. The wildland–urban interface in the United States. Ecol. Appl. 15, 799–805 (2005).
doi: 10.1890/04-1413
Bento-Gonçalves, A. & Vieira, A. Wildfires in the wildland–urban interface: key concepts and evaluation methodologies. Sci. Total Environ. 707, 135592 (2020).
pubmed: 31767309
doi: 10.1016/j.scitotenv.2019.135592
Bar-Massada, A., Radeloff, V. C. & Stewart, S. I. Biotic and abiotic effects of human settlements in the wildland–urban interface. BioScience 64, 429–437 (2014).
doi: 10.1093/biosci/biu039
Pesaresi, M. & Politis, P. GHS Built-up Surface Grid, Derived From Sentinel2 and Landsat, Multitemporal (1975–2030) (European Commission, Joint Research Center, 2022).
Zanaga, D. et al. ESA WorldCover 10 m 2020 v100. Zenodo https://zenodo.org/record/5571936 (2021).
Ellis, T. M., Bowman, D. M. J. S., Jain, P., Flannigan, M. D. & Williamson, G. J. Global increase in wildfire risk due to climate-driven declines in fuel moisture. Global Change Biol. 28, 1544–1559 (2021).
doi: 10.1111/gcb.16006
Crutzen, P. J. Geology of mankind. Nature 415, 23 (2002).
pubmed: 11780095
doi: 10.1038/415023a
Steffen, W., Crutzen, P. J. & McNeill, J. R. The Anthropocene: are humans now overwhelming the great forces of nature. AMBIO 36, 614–621 (2007).
pubmed: 18240674
doi: 10.1579/0044-7447(2007)36[614:TAAHNO]2.0.CO;2
Song, X.-P. et al. Global land change from 1982 to 2016. Nature 560, 639–643 (2018).
pubmed: 30089903
pmcid: 6366331
doi: 10.1038/s41586-018-0411-9
Winkler, K., Fuchs, R., Rounsevell, M. & Herold, M. Global land use changes are four times greater than previously estimated. Nat. Commun. 12, 2501 (2021).
pubmed: 33976120
pmcid: 8113269
doi: 10.1038/s41467-021-22702-2
Potapov, P. et al. Global maps of cropland extent and change show accelerated cropland expansion in the twenty-first century. Nat. Food 3, 19–28 (2022).
pubmed: 37118483
doi: 10.1038/s43016-021-00429-z
Melchiorri, M. et al. Unveiling 25 years of planetary urbanization with remote sensing: perspectives from the global human settlement layer. Remote Sens. 10, 768 (2018).
doi: 10.3390/rs10050768
Elhacham, E., Ben-Uri, L., Grozovski, J., Bar-On, Y. M. & Milo, R. Global human-made mass exceeds all living biomass. Nature 588, 442–444 (2020).
pubmed: 33299177
doi: 10.1038/s41586-020-3010-5
Wiedenhofer, D. et al. Prospects for a saturation of humanity’s resource use? An analysis of material stocks and flows in nine world regions from 1900 to 2035. Global Environ. Change https://doi.org/10.1016/j.gloenvcha.2021.102410 (2021).
Seto, K. et al. Urban land teleconnections and sustainability. Proc. Natl Acad. Sci. USA 109, 7687–7692 (2012).
pubmed: 22550174
pmcid: 3356653
doi: 10.1073/pnas.1117622109
Liu, J. et al. Framing sustainability in a telecoupled world. Ecol. Soc. https://doi.org/10.5751/ES-05873-180226 (2013).
Cohen, J. D. Preventing disaster—home ignitability in the wildland–urban interface. J. For. 98, 15–21 (2000).
Ganteaume, A., Barbero, R., Jappiot, M. & Maillé, E. Understanding future changes to fires in southern Europe and their impacts on the wildland–urban interface. J. Saf. Sci. Resil. 2, 20–29 (2021).
Radeloff, V. C. et al. Rapid growth of the US wildland–urban interface raises wildfire risk. Proc. Natl Acad. Sci. USA 115, 3314–3319 (2018).
pubmed: 29531054
pmcid: 5879688
doi: 10.1073/pnas.1718850115
Modugno, S., Balzter, H., Cole, B. & Borrelli, P. Mapping regional patterns of large forest fires in Wildland–Urban Interface areas in Europe. J. Environ. Manag. 172, 112–126 (2016).
doi: 10.1016/j.jenvman.2016.02.013
Kaim, D., Radeloff, V. C., Szwagrzyk, M., Dobosz, M. & Ostafin, K. Long-term changes of the wildland–urban interface in the Polish Carpathians. ISPRS Int. J. Geo-Inf. 7, 137 (2018).
doi: 10.3390/ijgi7040137
Li, S., Dao, V., Kumar, M., Nguyen, P. & Banerjee, T. Mapping the wildland–urban interface in California using remote sensing data. Sci. Rep. 12, 5789 (2022).
pubmed: 35388077
pmcid: 8987053
doi: 10.1038/s41598-022-09707-7
Argañaraz, J. P. et al. Assessing wildfire exposure in the Wildland–Urban Interface area of the mountains of central Argentina. J. Environ. Manag. 196, 499–510 (2017).
doi: 10.1016/j.jenvman.2017.03.058
Sarricolea, P. et al. Recent wildfires in Central Chile: detecting links between burned areas and population exposure in the wildland urban interface. Sci. Total Environ. 706, 135894 (2020).
pubmed: 31841846
doi: 10.1016/j.scitotenv.2019.135894
Vilà-Vilardell, L. et al. Climate change effects on wildfire hazards in the wildland–urban-interface—Blue pine forests of Bhutan. For. Ecol. Manag. 461, 117927 (2020).
doi: 10.1016/j.foreco.2020.117927
Christ, S., Schwarz, N. & Sliuzas, R. Wildland urban interface of the City of Cape Town 1990–2019. Geogr. Res. 60, 395–413 (2022).
doi: 10.1111/1745-5871.12535
Bar-Massada, A., Radeloff, V. C., Stewart, S. I. & Hawbaker, T. J. Wildfire risk in the wildland–urban interface: a simulation study in northwestern Wisconsin. For. Ecol. Manag. 258, 1990–1999 (2009).
doi: 10.1016/j.foreco.2009.07.051
Kramer, H. A., Mockrin, M. H., Alexandre, P. M. & Radeloff, V. C. High wildfire damage in interface communities in California. Int. J. Wildl. Fire 28, 641 (2019).
doi: 10.1071/WF18108
Mietkiewicz, N. et al. In the line of fire: consequences of human-ignited wildfires to homes in the U.S. (1992–2015). Fire 3, 50 (2020).
doi: 10.3390/fire3030050
Gavier-Pizarro, G. I., Radeloff, V. C., Stewart, S. I., Huebner, C. D. & Keuler, N. S. Housing is positively associated with invasive exotic plant species richness in New England, USA. Ecol. Appl. 20, 1913–1925 (2010).
pubmed: 21049879
doi: 10.1890/09-2168.1
Larsen, A. E., MacDonald, A. J. & Plantinga, A. J. Lyme disease risk influences human settlement in the wildland–urban interface: evidence from a longitudinal analysis of counties in the northeastern United States. Am. J. Trop. Med. Hyg. 91, 747–755 (2014).
pubmed: 25048372
pmcid: 4183398
doi: 10.4269/ajtmh.14-0181
Seto, K. C., Güneralp, B. & Hutyra, L. R. Global forecasts of urban expansion to 2030 and direct impacts on biodiversity and carbon pools. Proc. Natl Acad. Sci. USA 109, 16083–16088 (2012).
pubmed: 22988086
pmcid: 3479537
doi: 10.1073/pnas.1211658109
Jenerette, G. D. et al. An expanded framework for wildland–urban interfaces and their management. Front. Ecol. Environ. 20, 516–523 (2022).
doi: 10.1002/fee.2533
Schoennagel, T. et al. Adapt to more wildfire in western North American forests as climate changes. Proc. Natl Acad. Sci. USA 114, 4582–4590 (2017).
pubmed: 28416662
pmcid: 5422781
doi: 10.1073/pnas.1617464114
Liu, Z., Wimberly, M. C., Lamsal, A., Sohl, T. L. & Hawbaker, T. J. Climate change and wildfire risk in an expanding wildland–urban interface: a case study from the Colorado Front Range Corridor. Landsc. Ecol. 30, 1943–1957 (2015).
doi: 10.1007/s10980-015-0222-4
Olson, D. M. et al. Terrestrial ecoregions of the world. A new map of life on Earth. BioScience 51, 933 (2001).
doi: 10.1641/0006-3568(2001)051[0933:TEOTWA]2.0.CO;2
Liu, X. et al. High-resolution multi-temporal mapping of global urban land using Landsat images based on the Google Earth Engine Platform. Remote Sens. Environ. 209, 227–239 (2018).
doi: 10.1016/j.rse.2018.02.055
Syphard, A. D., Clarke, K. C. & Franklin, J. Simulating fire frequency and urban growth in southern California coastal shrublands, USA. Landsc. Ecol. 22, 431–445 (2007).
doi: 10.1007/s10980-006-9025-y
Chen, B. et al. Climate, fuel, and land use shaped the spatial pattern of wildfire in California’s Sierra Nevada. J. Geophys. Res. https://doi.org/10.1029/2020JG005786 (2021).
Hu, Q. et al. Global cropland intensification surpassed expansion between 2000 and 2010: a spatio-temporal analysis based on GlobeLand30. Sci. Total Environ. 746, 141035 (2020).
pubmed: 32771755
doi: 10.1016/j.scitotenv.2020.141035
Dijkstra, L. et al. Applying the degree of urbanisation to the globe: a new harmonised definition reveals a different picture of global urbanization. J. Urban Econ. 125, 103312 (2021).
doi: 10.1016/j.jue.2020.103312
Pausas, J. G. & Keeley, J. E. Wildfires and global change. Front. Ecol. Environ. 19, 387–395 (2021).
doi: 10.1002/fee.2359
Calkin, D. E., Cohen, J. D., Finney, M. A. & Thompson, M. P. How risk management can prevent future wildfire disasters in the wildland-urban interface. Proc. Natl Acad. Sci. USA 111, 746–751 (2014).
pubmed: 24344292
doi: 10.1073/pnas.1315088111
Knorr, W., Arneth, A. & Jiang, L. Demographic controls of future global fire risk. Nat. Clim. Change 6, 781–785 (2016).
doi: 10.1038/nclimate2999
Bowman, D. M. J. S. et al. Vegetation fires in the Anthropocene. Nat. Rev. Earth Environ. 1, 500–515 (2020).
doi: 10.1038/s43017-020-0085-3
Jolly, W. M. et al. Climate-induced variations in global wildfire danger from 1979 to 2013. Nat. Commun. 6, 7537 (2015).
pubmed: 26172867
doi: 10.1038/ncomms8537
Barros, C., Thuiller, W. & Münkemüller, T. Drought effects on the stability of forest-grassland ecotones under gradual climate change. PLoS ONE 13, e0206138 (2018).
pubmed: 30356292
pmcid: 6200273
doi: 10.1371/journal.pone.0206138
Bowman, D. M. J. S. et al. The human dimension of fire regimes on Earth. J. Biogeogr. 38, 2223–2236 (2011).
pubmed: 22279247
pmcid: 3263421
doi: 10.1111/j.1365-2699.2011.02595.x
Chuvieco, E., Martínez, S., Román, M. V., Hantson, S. & Pettinari, M. L. Integration of ecological and socio-economic factors to assess global vulnerability to wildfire. Global Ecol. Biogeogr. 23, 245–258 (2014).
doi: 10.1111/geb.12095
Soulsbury, C. D. & White, P. C. L. Human–wildlife interactions in urban areas: a review of conflicts, benefits and opportunities. Wildlife Res. 42, 541 (2015).
doi: 10.1071/WR14229
Lampin-Maillet, C. et al. Mapping wildland–urban interfaces at large scales integrating housing density and vegetation aggregation for fire prevention in the South of France. J. Environ. Manag. 91, 732–741 (2010).
doi: 10.1016/j.jenvman.2009.10.001
Zambrano-Ballesteros, A., Nanu, S. F., Navarro-Carrión, J. T. & Ramón-Morte, A. Methodological proposal for automated detection of the wildland–urban interface: application to the Metropolitan regions of Madrid and Barcelona. ISPRS Int. J. Geo-Inform. 10, 381 (2021).
doi: 10.3390/ijgi10060381
Forest Service, Bureau of Indian Affairs, Bureau of Land Management, Fish and Wildlife Service & National Park Service. Urban Wildland Interface Communities Within the Vicinity of Federal Lands That Are at High Risk From Wildfire (Forest Service, USDA, 2001).
Carlson, A. R., Helmers, D. P., Hawbaker, T. J., Mockrin, M. H. & Radeloff, V. C. The wildland–urban interface in the United States based on 125 million building locations. Ecol. Appl. 32, e2597 (2022).
pubmed: 35340097
doi: 10.1002/eap.2597
Platt, R. V. The wildland–urban interface: evaluating the definition effect. J. For. 108, 9–15 (2010).
Bengtsson, J. et al. Grasslands—more important for ecosystem services than you might think. Ecosphere 10, e02582 (2019).
doi: 10.1002/ecs2.2582
Bardgett, R. D. et al. Combatting global grassland degradation. Nat. Rev. Earth Environ. 2, 720–735 (2021).
doi: 10.1038/s43017-021-00207-2
Mockrin, M. H., Helmers, D., Martinuzzi, S., Hawbaker, T. J. & Radeloff, V. C. Growth of the wildland–urban interface within and around U.S. National Forests and Grasslands, 1990–2010. Landsc. Urban Plan. 218, 104283 (2022).
doi: 10.1016/j.landurbplan.2021.104283
Tsendbazar, N. et al. WorldCover Product Validation Report (WorldCover, 2021); https://worldcover2020.esa.int/data/docs/WorldCover_PVR_V1.1.pdf .
Lewis, A. et al. Rapid, high-resolution detection of environmental change over continental scales from satellite data—the Earth Observation Data Cube. Int. J. Digital Earth 9, 106–111 (2016).
doi: 10.1080/17538947.2015.1111952
Frantz, D. FORCE—Landsat + Sentinel-2 analysis ready data and beyond. Remote Sens. 11, 1124 (2019).
doi: 10.3390/rs11091124
Bauer-Marschallinger, B., Sabel, D. & Wagner, W. Optimisation of global grids for high-resolution remote sensing data. Comput. Geosci. 72, 84–93 (2014).
doi: 10.1016/j.cageo.2014.07.005
Earth Resources Observation and Science Center. USGS EROS Archive—Digital Elevation—Shuttle Radar Topography Mission (SRTM) 1 Arc-Second Global (Earth Resources Observation and Science Center, 2017).
Abrams, M., Crippen, R. & Fujisada, H. ASTER Global Digital Elevation Model (GDEM) and ASTER Global Water Body Dataset (ASTWBD). Remote Sens. 12, 1156 (2020).
Pekel, J.-F., Cottam, A., Gorelick, N. & Belward, A. S. High-resolution mapping of global surface water and its long-term changes. Nature 540, 418–422 (2016).
pubmed: 27926733
doi: 10.1038/nature20584
Schiavina, M., Freire, S. & MacManus, K. GHS-POP R2022A – GHS Population Grid Multitemporal (1975–2030)—OBSOLETE RELEASE (European Commission, Joint Research Centre, 2022).
Spawn, S. A. & Gibbs, H. K. Global Aboveground and Belowground Biomass Carbon Density Maps for the Year 2010 (ORNL DAAC, 2020); https://doi.org/10.3334/ORNLDAAC/1763 .
Petersson, H. et al. Individual tree biomass equations or biomass expansion factors for assessment of carbon stock changes in living biomass—a comparative study. For. Ecol. Manag. 270, 78–84 (2012).
doi: 10.1016/j.foreco.2012.01.004
Giglio, L., Schroeder, W. & Justice, C. O. The collection 6 MODIS active fire detection algorithm and fire products. Remote Sens. Environ. 178, 31–41 (2016).
pubmed: 30158718
pmcid: 6110110
doi: 10.1016/j.rse.2016.02.054
Schroeder, W. et al. Characterizing vegetation fire dynamics in Brazil through multisatellite data: common trends and practical issues. Earth Interact. 9, 1–26 (2005).
doi: 10.1175/EI120.1
Schroeder, W., Oliva, P., Giglio, L. & Csiszar, I. A. The New VIIRS 375 m active fire detection data product: algorithm description and initial assessment. Remote Sens. Environ. 143, 85–96 (2014).
doi: 10.1016/j.rse.2013.12.008
Olofsson, P. et al. Good practices for estimating area and assessing accuracy of land change. Remote Sens. Environ. 148, 42–57 (2014).
doi: 10.1016/j.rse.2014.02.015
Bar-Massada, A., Alcasena, F., Schug, F. & Radeloff, V. C. The wildland–urban interface in Europe: spatial patterns and associations with socioeconomic and demographic variables. Landsc. Urban Plan. 235, 104759 (2023).
doi: 10.1016/j.landurbplan.2023.104759
Godoy, M. M. et al. Rapid WUI growth in a natural amenity-rich region in central-western Patagonia, Argentina. Int. J. Wildl. Fire 28, 473 (2019).
doi: 10.1071/WF18097