The global wildland–urban interface
The wildland–urban interface (WUI) is where buildings and wildland vegetation meet or intermingle 1 , 2 . It is where human–environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases 3...
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| Veröffentlicht in: | Nature (London) Jg. 621; H. 7977; S. 94 - 99 |
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| Hauptverfasser: | , , , , , , , , , , , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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London
Nature Publishing Group UK
07.09.2023
Nature Publishing Group |
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| ISSN: | 0028-0836, 1476-4687, 1476-4687 |
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| Abstract | The wildland–urban interface (WUI) is where buildings and wildland vegetation meet or intermingle
1
,
2
. It is where human–environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases
3
. However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area
4
and wildland vegetation
5
. We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlight the wide range of population density, land cover types and biomass levels in different parts of the global WUI. The WUI covers only 4.7% of the land surface but is home to nearly half its population (3.5 billion). The WUI is especially widespread in Europe (15% of the land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003–2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions
6
, there is a need to understand housing growth and vegetation patterns as drivers of WUI change.
A global assessment shows that the wildland–urban interface occurs on all continents, showing its broad-scale patterns and providing a basis for future research on dynamics and socioeconomic and biophysical processes. |
|---|---|
| AbstractList | The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle
. It is where human-environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases
. However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area
and wildland vegetation
. We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlight the wide range of population density, land cover types and biomass levels in different parts of the global WUI. The WUI covers only 4.7% of the land surface but is home to nearly half its population (3.5 billion). The WUI is especially widespread in Europe (15% of the land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003-2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions
, there is a need to understand housing growth and vegetation patterns as drivers of WUI change. The wildland–urban interface (WUI) is where buildings and wildland vegetation meet or intermingle1,2. It is where human–environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases3. However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area4 and wildland vegetation5. We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlight the wide range of population density, land cover types and biomass levels in different parts of the global WUI. The WUI covers only 4.7% of the land surface but is home to nearly half its population (3.5 billion). The WUI is especially widespread in Europe (15% of the land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003–2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions6, there is a need to understand housing growth and vegetation patterns as drivers of WUI change. A global assessment shows that the wildland–urban interface occurs on all continents, showing its broad-scale patterns and providing a basis for future research on dynamics and socioeconomic and biophysical processes. The wildland–urban interface (WUI) is where buildings and wildland vegetation meet or intermingle 1 , 2 . It is where human–environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases 3 . However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area 4 and wildland vegetation 5 . We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlight the wide range of population density, land cover types and biomass levels in different parts of the global WUI. The WUI covers only 4.7% of the land surface but is home to nearly half its population (3.5 billion). The WUI is especially widespread in Europe (15% of the land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003–2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions 6 , there is a need to understand housing growth and vegetation patterns as drivers of WUI change. A global assessment shows that the wildland–urban interface occurs on all continents, showing its broad-scale patterns and providing a basis for future research on dynamics and socioeconomic and biophysical processes. The wildland–urban interface (WUI) is where buildings and wildland vegetation meet or intermingle 1,2 . It is where human–environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases 3 . However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area 4 and wildland vegetation 5 . We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlight the wide range of population density, land cover types and biomass levels in different parts of the global WUI. The WUI covers only 4.7% of the land surface but is home to nearly half its population (3.5 billion). The WUI is especially widespread in Europe (15% of the land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003–2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions 6 , there is a need to understand housing growth and vegetation patterns as drivers of WUI change. The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle1,2. It is where human-environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases3. However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area4 and wildland vegetation5. We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlight the wide range of population density, land cover types and biomass levels in different parts of the global WUI. The WUI covers only 4.7% of the land surface but is home to nearly half its population (3.5 billion). The WUI is especially widespread in Europe (15% of the land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003-2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions6, there is a need to understand housing growth and vegetation patterns as drivers of WUI change.The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle1,2. It is where human-environmental conflicts and risks can be concentrated, including the loss of houses and lives to wildfire, habitat loss and fragmentation and the spread of zoonotic diseases3. However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area4 and wildland vegetation5. We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlight the wide range of population density, land cover types and biomass levels in different parts of the global WUI. The WUI covers only 4.7% of the land surface but is home to nearly half its population (3.5 billion). The WUI is especially widespread in Europe (15% of the land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003-2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions6, there is a need to understand housing growth and vegetation patterns as drivers of WUI change. The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle. It is where human-environmental conflicts and risks can be concentrated, includingthe loss of houses and livesto wildfire, habitat loss and fragmentation and the spread of zoonotic diseases. However, a global analysis of the WUI has been lacking. Here, we present a global map of the 2020 WUI at 10 m resolution using a globally consistent and validated approach based on remote sensing-derived datasets of building area and wildland vegetation. We show that the WUI is a global phenomenon, identify many previously undocumented WUI hotspots and highlightthe wide range of population density, land cover types and biomass levels in different parts ofthe global WUI. The WUI covers only 4.7% of the land surface but is home to nearly haff its population (3.5 billion). The WUI is especially widespread in Europe (15% ofthe land area) and the temperate broadleaf and mixed forests biome (18%). Of all people living near 2003-2020 wildfires (0.4 billion), two thirds have their home in the WUI, most of them in Africa (150 million). Given that wildfire activity is predicted to increase because of climate change in many regions6, there is a need to understand housing growth and vegetation patterns as drivers of WUI change. |
| Author | Cox, Heather Pfoch, Kira A. Martinuzzi, Sebastián Hawbaker, Todd J. Mockrin, Miranda H. Carlson, Amanda R. Kaim, Dominik Bar-Massada, Avi Helmers, David Radeloff, Volker C. Hostert, Patrick Kasraee, Neda K. Schug, Franz |
| Author_xml | – sequence: 1 givenname: Franz orcidid: 0000-0003-1534-5610 surname: Schug fullname: Schug, Franz email: fschug@wisc.edu organization: SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison – sequence: 2 givenname: Avi orcidid: 0000-0002-8331-0391 surname: Bar-Massada fullname: Bar-Massada, Avi organization: Department of Biology and Environment, University of Haifa at Oranim – sequence: 3 givenname: Amanda R. orcidid: 0000-0002-0450-2636 surname: Carlson fullname: Carlson, Amanda R. organization: US Geological Survey, Geosciences and Environmental Change Science Center – sequence: 4 givenname: Heather orcidid: 0000-0003-3782-7004 surname: Cox fullname: Cox, Heather organization: SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison – sequence: 5 givenname: Todd J. orcidid: 0000-0003-0930-9154 surname: Hawbaker fullname: Hawbaker, Todd J. organization: US Geological Survey, Geosciences and Environmental Change Science Center – sequence: 6 givenname: David orcidid: 0000-0002-9134-0718 surname: Helmers fullname: Helmers, David organization: SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison – sequence: 7 givenname: Patrick orcidid: 0000-0002-5730-5484 surname: Hostert fullname: Hostert, Patrick organization: Geography Department, Humboldt-Universität zu Berlin, Integrative Research Institute on Transformations of Human-Environment Systems, Humboldt-Universität zu Berlin – sequence: 8 givenname: Dominik orcidid: 0000-0001-8004-6890 surname: Kaim fullname: Kaim, Dominik organization: Institute of Geography and Spatial Management, Faculty of Geography and Geology, Jagiellonian University – sequence: 9 givenname: Neda K. orcidid: 0009-0003-4797-1656 surname: Kasraee fullname: Kasraee, Neda K. organization: SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison – sequence: 10 givenname: Sebastián orcidid: 0000-0003-3433-0561 surname: Martinuzzi fullname: Martinuzzi, Sebastián organization: SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison – sequence: 11 givenname: Miranda H. orcidid: 0000-0002-1158-3833 surname: Mockrin fullname: Mockrin, Miranda H. organization: Northern Research Station, US Department of Agriculture Forest Service – sequence: 12 givenname: Kira A. orcidid: 0000-0002-8641-2270 surname: Pfoch fullname: Pfoch, Kira A. organization: SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison – sequence: 13 givenname: Volker C. surname: Radeloff fullname: Radeloff, Volker C. organization: SILVIS Lab, Department of Forest and Wildlife Ecology, University of Wisconsin-Madison |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/37468636$$D View this record in MEDLINE/PubMed |
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| Copyright | The Author(s) 2023 2023. The Author(s). Copyright Nature Publishing Group Sep 7, 2023 |
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| DOI | 10.1038/s41586-023-06320-0 |
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. It is where human–environmental conflicts and risks... The wildland–urban interface (WUI) is where buildings and wildland vegetation meet or intermingle 1,2 . It is where human–environmental conflicts and risks can... The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle . It is where human-environmental conflicts and risks can be... The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle. It is where human-environmental conflicts and risks can be... The wildland-urban interface (WUI) is where buildings and wildland vegetation meet or intermingle1,2. It is where human-environmental conflicts and risks can... The wildland–urban interface (WUI) is where buildings and wildland vegetation meet or intermingle1,2. It is where human–environmental conflicts and risks can... |
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| SubjectTerms | 704/158/2445 704/158/2465 704/172/4081 704/4111 704/844/685 Africa Biomass Cities - statistics & numerical data Climate Change Datasets Ecosystems Environmental conflicts Europe Fire hazards Forests Geographic Mapping Grasslands Habitat fragmentation Habitat loss Housing Housing - supply & distribution Housing - trends Humanities and Social Sciences Humans Land area Land cover Mixed forests multidisciplinary Population Density Remote sensing Science Science (multidisciplinary) Urban areas Urbanization Vegetation Vegetation patterns Wetlands Wilderness Wildfires Wildfires - prevention & control Wildfires - statistics & numerical data Wildland-urban interface Zoonoses |
| Title | The global wildland–urban interface |
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