Integrating geospatial wildfire models to delineate landscape management zones and inform decision-making in Mediterranean areas-Reference-Cited by-同舟云学术

Integrating geospatial wildfire models to delineate landscape management zones and inform decision-making in Mediterranean areas

Published:2022-03 Issue: Volume:147 Page:105616
ISSN:0925-7535
Container-title:Safety Science
language:en
Short-container-title:Safety Science

Author:

Rodrigues Marcos^ORCID,Zúñiga-Antón María^ORCID,Alcasena Fermín^ORCID,Gelabert Pere^ORCID,Vega-Garcia Cristina

Funder

Ministerio de Economía y Competitividad

Horizon 2020

Horizon 2020 Framework Programme

Government of Spain Ministry of Economy and Competitiveness

European Commission

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Reference92 articles.

1. Predicting Paradise: Modeling future wildfire disasters in the western US;Ager;Sci. Total Environ.,2021

2. Cross-boundary wildfire and community exposure: A framework and application in the western u.s. USDA For;Ager;Serv. - Gen. Tech. Rep. RMRS-GTR,2019

3. Network analysis of wildfire transmission and implications for risk governance;Ager;PLoS One,2017

4. Towards a comprehensive wildfire management strategy for Mediterranean areas: Framework development and implementation in Catalonia;Alcasena;Spain. J. Environ. Manage.,2019

5. Wildfire spread, hazard and exposure metric raster grids for central Catalonia;Alcasena;Data Br.,2018

Cited by 11 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Spatial multi-criteria analysis for prioritising forest management zones to prevent large forest fires in Catalonia (NE Spain);Environmental Challenges;2024-04

2. Wildfire exposure and risk in pulp paper companies’ plantations under extreme weather conditions: A case study in North-Western Portugal;International Journal of Disaster Risk Reduction;2024-01

3. Forest Fire Spread Hazard and Landscape Pattern Characteristics in the Mountainous District, Beijing;Forests;2023-10-27

4. Machine Learning for Predicting Forest Fire Occurrence in Changsha: An Innovative Investigation into the Introduction of a Forest Fuel Factor;Remote Sensing;2023-08-27

5. Accounting for spatial spillover benefits in neighborhood wildfire risk mitigation;Landscape and Urban Planning;2023-05