The DOI matches its Crossref record; 31 of the 32 references it cites were found in a registry or an index.
The Impact of Climate Change on Wildfire Severity: A Regional Forecast for Northern California
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“Similarly, the total area burned in the state is estimated to increase from somewhere between +15 and 50% [10,15].”
From Incorporating Anthropogenic Influences into Fire Probability Models: Effects of Human Activity and Climate Change on Fire Activity in California (2016) · cites this paper as [15]
Citations
Cites
Climate Change 2023 Synthesis Report
The Core Writing Team, Pachauri, R. K., & Reisinger, A. R. (2024) · Climate Change and Law Collection · doi:10.1163/9789004322714_cclc_2023-0258-1193 · Cited by 2,374
Climate Change and Forest Fire Potential in Russian and Canadian Boreal Forests
Stocks, B. J., Fosberg, M. A., Lynham, T. J., Mearns, L. O., Wotton, B. M., Yang, Q., Jin, J.-Z., Lawrence, K., Hartley, G. R., Mason, J. A., et al. (1998) · Climatic Change · doi:10.1023/a:1005306001055 · Cited by 626
Reexamining Fire Suppression Impacts on Brushland Fire Regimes
Keeley, J. E., Fotheringham, C. J., & Morais, M. E. (1999) · Science · doi:10.1126/science.284.5421.1829 · Cited by 410
A doubled CO2 climate sensitivity experiment with a global climate model including a simple ocean
Wilson, C. A., & Mitchell, J. F. B. (1987) · Journal of Geophysical Research Atmospheres · doi:10.1029/jd092id11p13315 · Cited by 393
The National fire-danger rating system /
Deeming, J. E., & Rocky Mountain Forest and Range Experiment Station (Fort Collins, C. ). (1974) · doi:10.5962/bhl.title.98707 · Cited by 348
Climate change and wildfire in Canada
Flannigan, M., & Wagner, C. E. V. (1991) · Canadian Journal of Forest Research · doi:10.1139/x91-010 · Cited by 339
Length of the fire season in a changing climate
Wotton, B. M., & Flannigan, M. (1993) · The Forestry Chronicle · doi:10.5558/tfc69187-2 · Cited by 313
Effect of climate change on fire regimes in northwestern Minnesota
Clark, J. S. (1988) · Nature · doi:10.1038/334233a0 · Cited by 298
Wildland Fire Patch Dynamics in the Chaparral of Southern California and Northern Baja California
Minnich, R., & Chou, Y. (1997) · International Journal of Wildland Fire · doi:10.1071/wf9970221 · Cited by 178
A cross-dated fire history from coast redwood near Redwood National Park, California
Brown, P. M., & Swetnam, T. W. (1994) · Canadian Journal of Forest Research · doi:10.1139/x94-004 · Cited by 127
Research works printed but not linked: 13
- California Department of Forestry and Fire Protection (CDF): 1990, The Effects of Continued Reduction in CDF Wildland Protection Resources-Is the State Facing Unacceptable Wildfire Risks, Emergency Fire Suppression Costs, and Resource and Environmental Damage? A White Paper Prepared for the Forest and Rangeland Resources Assessment Program (FRRAP) by the Ad Hoc Committee on Budget Reductions, California Department of Forestry and Fire Protection, Sacramento, CA.
- California State Board of Forestry: 1996, California Fire Plan-A Framework for Minimizing Costs and Losses from Wildland Fires, California Department of Forestry and Fire Protection, Sacramento, CA.
- Dimitrakopoulos, A.: 1985, An Evaluation of the National Fire Management Analysis System's Initial Attack Analysis Processor, M.S. Thesis, Colorado State University, Ft. Collins.
- Fried, J. S., Gilless, J. K., and Martin, R. E.: 1987, 'CFES-The California Fire Economics Simulator: A Computerized System forWildland Fire Protection Planning', in Proceedings, Symposium on Wildland Fire 2000, April 27-30, South Lake Tahoe, CA, USDA Forest Service General Technical Report PSW-101, pp. 212–217.
- Fried, J. S. and Gilless, J. K.: 1988a, The California Fire Economics Simulator Initial Attack Module (CFES-IAM): MS-DOS Version 1.11 User's Guide, Bulletin 1925, Division of Agriculture and Natural Resources, University of California, Berkeley, California, 84 pp.
- Fried, J. S. and Gilless, J. K.: 1993, 'Simulating Initial Attack: Stochastic Formulation Brings Risk Consideration to Fire Protection Planning', in Proceedings of the International Symposium on Systems Analysis and Management Decisions in Forestry, Valdivia, Chile, March 8-12, 1993, pp. 76–94.
- Gilless, J. K. and Fried, J. S.: 1991, 'Implementation of a Wildland Fire Protection Planning System by a State Resource Management Agency: Simulation Proves more Useful than Optimization', in Proceedings of the 1991 Symposium on Systems Analysis in Forest Resources, Charleston, South Carolina, March 3-7, 1991, USDA Forest Service General Technical Report SE-74, pp. 312–319.
- Peara, A. and Mills. E.: 1999, 'Climate for Change: An Actuarial Perspective on GlobalWarming and its Potential Impact on Insurers', Contingencies: Journal of the American Academy of Actuaries (January/February), pp. 16–23.
- Simard, A. J. and Main, W. A.: 1987, 'Global Climate Change: The Potential for Changes inWildland Fire Activity in the Southeast', in Meo, M. (ed.), Proceedings of the Symposium on Climate Change in the Southeastern United States: Future Impacts and Present Policy Issues (May 28-29, 1987 New Orleans, Louisiana).
- Spero, J.: 1998a, Will an Additional Engine at Moraga Improve Wildland Fire Suppression? California Department of Forestry and Fire Protection, Fire and Resource Assessment Program, Sacramento, CA, 19 pp.
- Spero, J.: 1998b, Will Moving an Engine from San Antonio Station to Another Station Improve Wildland Fire Suppression?, California Department of Forestry and Fire Protection, Fire and Resource Assessment Program, Sacramento, CA, 15 pp.
- Swiss Re: 1992, Fire of the Future, Swiss Reinsurance Company, Zurich.
- Westman, W. E. and Malanson, G. P.: 1992, 'Effects of Climate Change on Mediterranean-Type Ecosystems in California and Baja California', in Peters, R. L. and Lovejoy, T. (eds.), Global Warming and Biological Diversity, Yale University Press, New Haven.
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Items 201–250 of 250
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Walden, L. (2020) · Murdoch University Research Portal · Cited by 1
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Aerial laser scanning: Applications for forest biomass management
Tittmann, P. W. (2011) · ProQuest Demo Repository
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Barrett, B. J., Crews, A., & McElreath, M. B. (2016) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/048363
Menning, K. M. (2007) · Advances in the economics of environmental resources · doi:10.1016/s1569-3740(06)06005-6
The carbon negative system: An innovative system for sustainable community development
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Garbolino, E., Sanseverino-Godfrin, V., & Hinojos‐Mendoza, G. (2017) · Cybergeo · doi:10.4000/cybergeo.28006
Fire History and Soil Carbon in Old Growth Coast Redwood Forests across the Late Holocene
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Althaus, D. R. (2014) · doi:10.15368/theses.2014.80
Chu, E. K., Natekal, A. N., Waaland, G., Barbato, M., & Conlon, K. C. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4002909
The effect of global warming to California water cycle
Yang, Y. (2021) · E3S Web of Conferences · doi:10.1051/e3sconf/202132901081
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Costa, E. M., do Nascimento, J. A. B., Khan, A. S., Irffi, G. D., & Araújo, J. A. (2024) · Research Square · doi:10.21203/rs.3.rs-3523348/v1
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Corbat, M. C., Juárez, O., Fucks, E., & Casas, J. A. (2026) · Research Square · doi:10.21203/rs.3.rs-9497362/v1
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Metadata
- Authors
- Fried, J. S., Torn, M. S., & Mills, E.
- Affiliations
- US Forest Service (US)
- Lawrence Berkeley National Laboratory (US)
- Venue
- Climatic Change
- Published
- 2004-05
- Volume
- 64
- Issue
- 1-2
- Pages
- 169-191
- ISSN
- 0165-0009 (ISSN-L)
- 1573-1480
- OpenAlex
- W2141992362
- Cited by
- 250
- References
- 32
- Citations by year
- 2026: 7 · 2025: 5 · 2024: 12 · 2023: 18 · 2022: 13 · 2021: 14 · 2020: 10 · 2019: 15 · 2018: 12 · 2017: 7 · 2016: 14 · 2015: 9 · 2014: 14 · 2013: 14 · 2012: 14
- FWCI
- 9.23
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Climatic Change (publishedVersion)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Life Sciences › Agricultural and Biological Sciences › Forestry › Forest Management and Policy
- Keywords
- climate change impacts, wildfire severity, fire spread, fire suppression effectiveness, burned area, fire return interval, general circulation model projections, Northern California, Sierra Nevada, San Francisco Bay Area, vegetation distribution, carbon storage
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