Remote Sensing Analysis of Vegetation Recovery following Short-Interval Fires in Southern California Shrublands
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Increased fire frequency has been shown to promote alien plant invasions in the western United States, resulting in persistent vegetation type change. Short interval fires are widely considered to be detrimental to reestablishment of shrub species in southern California chaparral, facilitating the invasion of exotic annuals and producing "type conversion". However, supporting evidence for type conversion has largely been at local, site scales and over short post-fire time scales. Type conversion has not been shown to be persistent or widespread in chaparral, and past range improvement studies present evidence that chaparral type conversion may be difficult and a relatively rare phenomenon across the landscape. With the aid of remote sensing data covering coastal southern California and a historical wildfire dataset, the effects of short interval fires (<8 years) on chaparral recovery were evaluated by comparing areas that burned twice to adjacent areas burned only once. Twelve pairs of once- and twice-burned areas were compared using normalized burn ratio (NBR) distributions. Correlations between measures of recovery and explanatory factors (fire history, climate and elevation) were analyzed by linear regression. Reduced vegetation cover was found in some lower elevation areas that were burned twice in short interval fires, where non-sprouting species are more common. However, extensive type conversion of chaparral to grassland was not evident in this study. Most variables, with the exception of elevation, were moderately or poorly correlated with differences in vegetation recovery.
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MTBS has been the dataset of choice in studies on CONUS-wide trends in burn severity and area, forest disturbance, and vegetation type conversion after wildland fire.
“MTBS has been the dataset of choice in studies on CONUS-wide trends in burn severity and area28,29, forest disturbance30, and vegetation type conversion after wildland fire31.”
From Burned forests impact water supplies (2018) · cites this paper as [31]
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NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
MORAN, P. A. P. (1950) · Biometrika · doi:10.1093/biomet/37.1-2.17 · Cited by 8,622 · see citing works
Bowman, D. M. J. S., Balch, J. K., Artaxo, P., Bond, W. J., Carlson, J. M., Cochrane, M. A., D’Antonio, C. M., DeFries, R. S., Doyle, J. C., Harrison, S. P., et al. (2009) · Science · doi:10.1126/science.1163886 · Cited by 3,351 · see citing works
Self-citationMulti-resolution, object-oriented fuzzy analysis of remote sensing data for GIS-ready information
Benz, U. C., Hofmann, P., Willhauck, G., Lingenfelder, I., & Heynen, M. (2003) · ISPRS Journal of Photogrammetry and Remote Sensing · doi:10.1016/j.isprsjprs.2003.10.002 · Cited by 2,531 · see citing works
Climate Change and Forest Disturbances
Dale, V. H., Joyce, L. A., McNulty, S. G., Neilson, R. P., Ayres, M. P., FLANNIGAN, M. D., Hanson, P. J., Irland, L. C., Lugo, A. E., Peterson, A. T., et al. (2001) · BioScience · doi:10.1641/0006-3568(2001)051[0723:ccafd]2.0.co;2 · Cited by 2,249 · see citing works
Miller, J. D., & Thode, A. E. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2006.12.006 · Cited by 1,444 · see citing works
A Project for Monitoring Trends in Burn Severity
Eidenshink, J., Schwind, B., Brewer, K., Zhu, Z.-L., Quayle, B., & Howard, S. (2007) · Fire Ecology · doi:10.4996/fireecology.0301003 · Cited by 1,423 · see citing works
Detection of changes in leaf water content using Near- and Middle-Infrared reflectances☆
HUNTJR, E., & Rock, B. N. (1989) · Remote Sensing of Environment · doi:10.1016/0034-4257(89)90046-1 · Cited by 1,316 · see citing works
The New VIIRS 375 m active fire detection data product: Algorithm description and initial assessment
Schroeder, W., Oliva, P., Giglio, L., & Csiszar, I. A. (2014) · Remote Sensing of Environment · doi:10.1016/j.rse.2013.12.008 · Cited by 1,235 · see citing works
Remote sensing techniques to assess active fire characteristics and post-fire effects
Lentile, L. B., Holden, Z. A., Smith, A. M. S., Falkowski, M. J., Hudak, A. T., Morgan, P., Lewis, S. A., Gessler, P. E., & Benson, N. (2006) · International Journal of Wildland Fire · doi:10.1071/wf05097 · Cited by 979 · see citing works
Terrestrial Vegetation of California.
Ornduff, R., Barbour, M. G., & Major, J. (1977) · Systematic Botany · doi:10.2307/2418278 · Cited by 798 · see citing works
Mapping burns and natural reforestation using thematic Mapper data
García, M. J. L., & Caselles, V. (1991) · Geocarto International · doi:10.1080/10106049109354290 · Cited by 743 · see citing works
Succession after Fire in the Chaparral of Southern California
Hanes, T. L. (1971) · Ecological Monographs · doi:10.2307/1942434 · Cited by 519 · see citing works
Determining the Power-Law Wind-Profile Exponent under Near-Neutral Stability Conditions at Sea
Hsu, S. A., Meindl, E. A., & Gilhousen, D. B. (1994) · Journal of applied meteorology · doi:10.1175/1520-0450(1994)033 · Cited by 500 · see citing works
Zedler, P., Gautier, C., & McMaster, G. (1983) · Ecology · doi:10.2307/1937204 · Cited by 475 · see citing works
Canty, M. J., & Nielsen, A. A. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.07.013 · Cited by 367 · see citing works
Remote Sensing of Forest Fire Severity and Vegetation Recovery
White, J., Ryan, K., Key, C., & Running, S. W. (1996) · International Journal of Wildland Fire · doi:10.1071/wf9960125 · Cited by 355 · see citing works
FIRE AND GRAZING IMPACTS ON PLANT DIVERSITY AND ALIEN PLANT INVASIONS IN THE SOUTHERN SIERRA NEVADA
Keeley, J. E., Lubin, D., & Fotheringham, C. J. (2003) · Ecological Applications · doi:10.1890/02-5002 · Cited by 303 · see citing works
Fire in California's Ecosystems
(2006) · University of California Press eBooks · doi:10.1525/california/9780520246058.001.0001 · Cited by 302 · see citing works
Fire and Climatic Change in Temperate Ecosystems of the Western Americas
Veblen, T. T., Swetnam, T. W., Montenegro, G., & Baker, W. L. (2003) · Ecological studies · doi:10.1007/b97443 · Cited by 296 · see citing works
DIRECT REGENERATION IS NOT THE ONLY RESPONSE OF MEDITERRANEAN FORESTS TO LARGE FIRES
Rodrigo, A., Retana, J., & Picó, F. X. (2004) · Ecology · doi:10.1890/02-0492 · Cited by 288 · see citing works
Historic Fire Regime in Southern California Shrublands
Keeley, J. E., & Fotheringham, C. J. (2001) · Conservation Biology · doi:10.1046/j.1523-1739.2001.00097.x · Cited by 242 · see citing works
Native American impacts on fire regimes of the California coastal ranges
Keeley, J. E. (2002) · Journal of Biogeography · doi:10.1046/j.1365-2699.2002.00676.x · Cited by 216 · see citing works
The interplay between climate change, forests, and disturbances
Dale, V. H., Joyce, L. A., McNulty, S. G., & Neilson, R. P. (2000) · The Science of The Total Environment · doi:10.1016/s0048-9697(00)00522-2 · Cited by 213 · see citing works
Röder, A., HILL, J., Duguy, B., Alloza, J. A., & Vallejo, V. R. (2007) · Remote Sensing of Environment · doi:10.1016/j.rse.2007.05.001 · Cited by 199 · see citing works
The 2007 Southern California Wildfires: Lessons in Complexity
Keeley, J. E., Safford, H. D., Fotheringham, C. J., Franklin, J., & Moritz, M. A. (2009) · Journal of Forestry · doi:10.1093/jof/107.6.287 · Cited by 192 · see citing works
Self-citationDennison, P. E., & Roberts, D. A. (2003) · Remote Sensing of Environment · doi:10.1016/j.rse.2003.07.001 · Cited by 190 · see citing works
Self-citationChen, X., Vogelmann, J. E., Rollins, M. G., Ohlen, D. O., Key, C. H., Yang, L., Huang, C., & Shi, H. (2011) · International Journal of Remote Sensing · doi:10.1080/01431161.2010.524678 · Cited by 188 · see citing works
Vegetation Dynamics, Fire, and the Physical Environment in Coastal Central California
Callaway, R. M., & Davis, F. W. (1993) · Ecology · doi:10.2307/1940084 · Cited by 183 · see citing works
Fire-driven alien invasion in a fire-adapted ecosystem
Keeley, J. E., & Brennan, T. J. (2012) · Oecologia · doi:10.1007/s00442-012-2253-8 · Cited by 173 · see citing works
Effects of minimum mapping unit on land cover data spatial configuration and composition
Saura, S. (2002) · International Journal of Remote Sensing · doi:10.1080/01431160110114493 · Cited by 168 · see citing works
Climate change‐induced shifts in fire for <scp>M</scp>editerranean ecosystems
Batllori, E., Parisien, M., Krawchuk, M. A., & Moritz, M. A. (2013) · Global Ecology and Biogeography · doi:10.1111/geb.12065 · Cited by 159 · see citing works
Self-citationDennison, P. E., & Moritz, M. A. (2009) · International Journal of Wildland Fire · doi:10.1071/wf08055 · Cited by 144 · see citing works
Self-citationvan Leeuwen, W., Casady, G. M., Neary, D. G., Bautista, S., Alloza, J. A., Carmel, Y., Wittenberg, L., Malkinson, D., & Orr, B. J. (2010) · International Journal of Wildland Fire · doi:10.1071/wf08078 · Cited by 138 · see citing works
Lessons from the October 2003 wildfires in Southern California.
Keeley, J. E., Fotheringham, C. J., & Moritz, M. A. (2004) · Journal of Forestry · doi:10.1093/jof/102.7.26 · Cited by 133 · see citing works
Self-citationSpatial and temporal controls on post-fire hydrologic recovery in Southern California watersheds
Kinoshita, A. M., & Hogue, T. S. (2011) · CATENA · doi:10.1016/j.catena.2011.06.005 · Cited by 130 · see citing works
Mensing, S., Michaelsen, J. C., & Byrne, R. (1999) · Quaternary Research · doi:10.1006/qres.1999.2035 · Cited by 123 · see citing works
Cooper, W. S. (1922) · doi:10.5962/bhl.title.20836 · Cited by 110 · see citing works
Wells, P. V. (1962) · Ecological Monographs · doi:10.2307/1942361 · Cited by 110 · see citing works
Talluto, L., & Suding, K. N. (2008) · Landscape Ecology · doi:10.1007/s10980-008-9238-3 · Cited by 109 · see citing works
Sugihara, N. G., van Wagtendonk, J. W., & Fites-Kaufman, J. (2006) · University of California Press eBooks · doi:10.1525/california/9780520246058.003.0004 · Cited by 102 · see citing works
Padgett, P. E., & Allen, E. B. (1999) · Plant Ecology · doi:10.1023/a:1009895720067 · Cited by 99 · see citing works
SYNOPTIC WEATHER TYPES ASSOCIATED WITH CRITICAL FIRE WEATHER
Schroeder, M. J., Glovinsky, M., Henricks, V. F., Hood, F. C., & Hull, M. K. (1964) · doi:10.21236/ad0449630 · Cited by 99 · see citing works
Keeley, J. E., Fotheringham, C. J., & Baer‐Keeley, M. (2005) · Diversity and Distributions · doi:10.1111/j.1366-9516.2005.00200.x · Cited by 99 · see citing works
POST‐FIRE REGENERATION OF SOUTHERN CALIFORNIA CHAPARRAL
Keeley, J. E., & Keeley, S. C. (1981) · American Journal of Botany · doi:10.1002/j.1537-2197.1981.tb07796.x · Cited by 97 · see citing works
Impact of Past, Present, and Future Fire Regimes on North American Mediterranean Shrublands
Keeley, J. E., & Fotheringham, C. J. (2003) · Ecological studies · doi:10.1007/0-387-21710-x_8 · Cited by 91 · see citing works
Fuel Breaks Affect Nonnative Species Abundance In Californian Plant Communities
Merriam, K. E., Keeley, J. E., & Beyers, J. L. (2006) · Ecological Applications · doi:10.1890/1051-0761(2006)016[0515:fbansa]2.0.co;2 · Cited by 88 · see citing works
Change over 70 years in a southern California chaparral community related to fire history
Franklin, J., Coulter, C. L., & Rey, S. J. (2004) · Journal of Vegetation Science · doi:10.1111/j.1654-1103.2004.tb02312.x · Cited by 78 · see citing works
McMichael, C. E., Hope, A. S., Roberts, D. A., & Anaya, M. (2004) · International Journal of Remote Sensing · doi:10.1080/01431160410001726067 · Cited by 71 · see citing works
Lippitt, C. L., Stow, D. A., O’Leary, J. F., & Franklin, J. (2012) · International Journal of Wildland Fire · doi:10.1071/wf10099 · Cited by 63 · see citing works
Mitri, G. H., & Gitas, I. Z. (2011) · International Journal of Applied Earth Observation and Geoinformation · doi:10.1016/j.jag.2011.09.001 · Cited by 62 · see citing works
Keeley, J. E., & Davis, F. W. (2007) · University of California Press eBooks · doi:10.1525/california/9780520249554.003.0013 · Cited by 59 · see citing works
Henry, M. C., & Hope, A. S. (1998) · International Journal of Remote Sensing · doi:10.1080/014311698214208 · Cited by 57 · see citing works
Size Structure and Seed Production in Even-Aged Populations of Ceanothus Greggii in Mixed Chaparral
Zammit, C. A., & Zedler, P. H. (1993) · Journal of Ecology · doi:10.2307/2261528 · Cited by 56 · see citing works
Keeley, J. E. (2006) · University of California Press eBooks · doi:10.1525/california/9780520246058.003.0015 · Cited by 56 · see citing works
Bounded ranges of variation as a framework for future conservation and fire management
Moritz, M. A., Hurteau, M. D., Suding, K. N., & D’Antonio, C. M. (2013) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.12104 · Cited by 48 · see citing works
Self-citationPost-Fire Regeneration of Southern California Chaparral
Keeley, J. E., & Keeley, S. C. (1981) · American Journal of Botany · doi:10.2307/2443028 · Cited by 48 · see citing works
Odion, D. C., & Tyler, C. M. (2002) · Conservation Ecology · doi:10.5751/es-00430-060204 · Cited by 41 · see citing works
Conversion of chaparral areas to grassland techniques used in California
Bentley, J. R. (1967) · Cited by 29 · see citing works
NASA Mission to Measure Global Plant Physiology and Functional Types
Green, R. O., Asner, G. P., Ungar, S. G., & Knox, R. G. (2008) · IEEE Aerospace Conference (AERO) · doi:10.1109/aero.2008.4526244 · Cited by 22 · see citing works
Range Improvement in California by Seeding Annual Clovers, Fertilization and Grazing Management
Williams, W. A., Love, R. M., & Conrad, J. P. (1956) · Journal of Range Management · doi:10.2307/3894648 · Cited by 20 · see citing works
Pennypacker, C. R., Jakubowski, M., Kelly, M., Lampton, M., Schmidt, C. C., Stephens, S. L., & Tripp, R. D. (2013) · Remote Sensing · doi:10.3390/rs5105173 · Cited by 18 · see citing works
Using AHS hyper-spectral images to study forest vegetation recovery after a fire
Huesca, M., de Miguel, S. M., González-Alonso, F., Martínez, S., Cuevas, J. M., & Calle, A. (2013) · International Journal of Remote Sensing · doi:10.1080/01431161.2013.772313 · Cited by 18 · see citing works
Introduction to California Chaparral
Quinn, R. D., & Keeley, S. (2019) · University of California Press eBooks · doi:10.1525/9780520939004 · Cited by 15 · see citing works
Krawchuk, M. A., & Moritz, M. A. (2012) · eScholarship (California Digital Library) · Cited by 10 · see citing works
Self-citationRecent Trends in Range Improvement on California Foothill Ranges
Burcham, L. T. (1955) · Journal of Range Management · doi:10.2307/3893999 · Cited by 9 · see citing works
Long-Term Effects of Vegetation Treatments in the Chaparral Transition Zone
Fuhrmann, K. N., Crews, T. E., & Society for Range Management (2001) · Rangelands · doi:10.2458/azu_rangelands_v23i1_fuhrmann · Cited by 3 · see citing works
Planned range improvement programs are beneficial
Love, R. M., Berry, L., Street, J. H., & Osterli (1960) · DOAJ (DOAJ: Directory of Open Access Journals) · Cited by 2 · see citing works
Flagged first, then by citations
Research works printed but not linked: 2
- [8]Jacobsen AL, Davis SD, Fabritius SL (2004) Fire frequency impacts non-sprouting chaparral shrubs in the Santa Monica Mountains of southern California. In: Arianoutsou M, Papanastasis VP, editors. Proceedings 10th MEDECOS Conference. Rotterdam: Millpress Press. pp. 1–5.
- [45]Daly C, Neilson RP, Phillips DL (1994) A statistical-topographic model for mapping climatological precipitation over mountainous terrain. Journal of Applied Meteorology 33: 140– 158.
Cited by
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Chuvieco, E., Aguado, I., Salas, J., Garcı́a, M., Yebra, M., & Oliva, P. (2020) · Current Forestry Reports · doi:10.1007/s40725-020-00116-5 · Cited by 272 · see citing works
Bright, B. C., Hudak, A. T., Kennedy, R. E., Braaten, J. D., & Khalyani, A. H. (2019) · Fire Ecology · doi:10.1186/s42408-018-0021-9 · Cited by 251 · see citing works
Burned forests impact water supplies
Hallema, D. W., Sun, G., Caldwell, P. V., Norman, S. P., Cohen, E. C., Liu, Y., Bladon, K. D., & McNulty, S. G. (2018) · Nature Communications · doi:10.1038/s41467-018-03735-6 · Cited by 193 · see citing works
Meng, R., Dennison, P. E., Huang, C., Moritz, M. A., & D’Antonio, C. M. (2015) · Remote Sensing of Environment · doi:10.1016/j.rse.2015.10.024 · Cited by 166 · see citing works
Self-citationBrooks, M. L., Brown, C. S., Chambers, J. C., D’Antonio, C. M., Keeley, J. E., & Belnap, J. (2016) · Springer series on environmental management · doi:10.1007/978-3-319-24930-8_2 · Cited by 82 · see citing works
Self-citationPostwildfire Soil‐Hydraulic Recovery and the Persistence of Debris Flow Hazards
Thomas, M. A., Rengers, F. K., Kean, J. W., McGuire, L. A., Staley, D. M., Barnhart, K. R., & Ebel, B. A. (2021) · Journal of Geophysical Research Earth Surface · doi:10.1029/2021jf006091 · Cited by 81 · see citing works
Drivers of chaparral type conversion to herbaceous vegetation in coastal Southern California
Syphard, A. D., Brennan, T. J., & Keeley, J. E. (2018) · Diversity and Distributions · doi:10.1111/ddi.12827 · Cited by 63 · see citing works
Extent and drivers of vegetation type conversion in Southern California chaparral
Syphard, A. D., Brennan, T. J., & Keeley, J. E. (2019) · Ecosphere · doi:10.1002/ecs2.2796 · Cited by 45 · see citing works
Chaparral Landscape Conversion in Southern California
Syphard, A. D., Brennan, T. J., & Keeley, J. E. (2018) · Springer series on environmental management · doi:10.1007/978-3-319-68303-4_12 · Cited by 43 · see citing works
Historical reconstructions of California wildfires vary by data source
Syphard, A. D., & Keeley, J. E. (2016) · International Journal of Wildland Fire · doi:10.1071/wf16050 · Cited by 41 · see citing works
Park, I. W., Hooper, J., Flegal, J. M., & Jenerette, G. D. (2018) · Diversity and Distributions · doi:10.1111/ddi.12693 · Cited by 38 · see citing works
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Syphard, A. D., Brennan, T. J., Rustigian‐Romsos, H., & Keeley, J. E. (2022) · Ecological Applications · doi:10.1002/eap.2626 · Cited by 37 · see citing works
Bonney, M. T., He, Y., & Myint, S. W. (2020) · Remote Sensing · doi:10.3390/rs12233942 · Cited by 37 · see citing works
Spatola, M. F., Borghetti, M., & Nolè, A. (2023) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2023.109731 · Cited by 36 · see citing works
Spatial and temporal trends of urban green spaces: an assessment using hyper-temporal NDVI datasets
Dutta, D., Rahman, A., Paul, S., & Kundu, A. (2021) · Geocarto International · doi:10.1080/10106049.2021.1989499 · Cited by 36 · see citing works
Kavgacı, A., Örtel, E., Torres, I., & Safford, H. D. (2016) · TURKISH JOURNAL OF AGRICULTURE AND FORESTRY · doi:10.3906/tar-1601-21 · Cited by 31 · see citing works
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Abdollahi, M., Vahedifard, F., & Leshchinsky, B. A. (2024) · Engineering Geology · doi:10.1016/j.enggeo.2024.107538 · Cited by 28 · see citing works
Impact of Wildfire on the Surface Energy Balance in Six California Case Studies
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Recovery of Chilean Mediterranean vegetation after different frequencies of fires
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Assessment of forest recovery at Wu-Ling fire scars in Taiwan using multi-temporal Landsat imagery
Chompuchan, C., & Lin, C.-Y. (2017) · Ecological Indicators · doi:10.1016/j.ecolind.2017.04.038 · Cited by 22 · see citing works
Shumack, S., Hesse, P., & Turner, L. (2017) · Geomorphology · doi:10.1016/j.geomorph.2017.10.001 · Cited by 21 · see citing works
Phillips, M. L., McNellis, B. E., Allen, M. F., & Allen, E. B. (2019) · American Journal of Botany · doi:10.1002/ajb2.1344 · Cited by 20 · see citing works
Evaluating Drought Impact on Postfire Recovery of Chaparral Across Southern California
Storey, E. A., Stow, D. A., Roberts, D. A., O’Leary, J. F., & Davis, F. W. (2020) · Ecosystems · doi:10.1007/s10021-020-00551-2 · Cited by 18 · see citing works
Allen, E. B., Williams, K., Beyers, J. L., Phillips, M. L., Ma, S., & D’Antonio, C. M. (2018) · Springer series on environmental management · doi:10.1007/978-3-319-68303-4_13 · Cited by 18 · see citing works
Self-citationPratt, R. B. (2021) · American Journal of Botany · doi:10.1002/ajb2.1777 · Cited by 16 · see citing works
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Rother, D. E., Sales, F. D., Stow, D. A., & McFadden, J. (2022) · PLoS ONE · doi:10.1371/journal.pone.0274428 · Cited by 15 · see citing works
Shrestha, S., Williams, C. A., Rogers, B. M., Rogan, J. S., & Kulakowski, D. (2024) · Biogeosciences · doi:10.5194/bg-21-2207-2024 · Cited by 13 · see citing works
Tello, F., González, M. E., Micó, E., Valdivia, N., Torres, F., Lara, A., & García‐López, A. (2022) · Forests · doi:10.3390/f13030441 · Cited by 12 · see citing works
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Storey, E. A., Stow, D. A., & Roberts, D. A. (2019) · GIScience & Remote Sensing · doi:10.1080/15481603.2019.1703287 · Cited by 11 · see citing works
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Yoo, C., Chang, K.-H., Lee, M., Song, S.-U., Na, W., & Ma, J.-H. (2024) · Ecological Engineering · doi:10.1016/j.ecoleng.2024.107412 · Cited by 8 · see citing works
Zabeo, C., Mengist, M., Ogunyemi, O., & Barbati, A. (2025) · Ecological Informatics · doi:10.1016/j.ecoinf.2025.103508 · Cited by 8 · see citing works
Shrestha, S., Williams, C. A., Rogers, B. M., Rogan, J. S., & Kulakowski, D. (2022) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2022.108939 · Cited by 8 · see citing works
Rother, D. E., Sales, F. D., Stow, D. A., & McFadden, J. P. (2022) · Fire · doi:10.3390/fire5060177 · Cited by 8 · see citing works
Karimi, S., Heydari, M., Mirzaei, J., Karami, O., Heung, B., & Mosavi, A. H. (2023) · Forests · doi:10.3390/f14030590 · Cited by 8 · see citing works
Biogeochemical Cycling of Carbon and Nitrogen in Chaparral Dominated Ecosystems
Jenerette, G. D., Park, I., Andrews, H. M., & Eberwein, J. R. (2018) · Springer series on environmental management · doi:10.1007/978-3-319-68303-4_6 · Cited by 8 · see citing works
Potter, C. S. (2017) · Journal of Coastal Conservation · doi:10.1007/s11852-017-0519-3 · Cited by 7 · see citing works
Fernández, C. (2021) · International Journal of Wildland Fire · doi:10.1071/wf20092 · Cited by 7 · see citing works
Assessment of Forest Fire Impact and Vegetation Recovery in the Ghalahmah Mountains, Saudi Arabia
Al-Qthanin, R. N., & Aseeri, R. (2025) · Fire · doi:10.3390/fire8050172 · Cited by 6 · see citing works
Post-fire spectral recovery and driving factors across the boreal and temperate forests
Li, L. K., Liu, Z., Xu, W., Wang, W., Su, J., Lv, Q., Guo, W., & Johnson, M. (2025) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2023.0453 · Cited by 6 · see citing works
Zheng, Z., Yu, Y., Yang, X., Yuan, X., & Hou, Z. (2025) · Remote Sensing · doi:10.3390/rs17213521 · Cited by 5 · see citing works
Florsheim, J. L., & Chin, A. (2023) · Geological Society of America eBooks · doi:10.1130/2024.2562(04 · Cited by 5 · see citing works
Smith, A. G., Newingham, B. A., Hudak, A. T., & Bright, B. C. (2019) · Fire Ecology · doi:10.1186/s42408-019-0031-2 · Cited by 4 · see citing works
Spatial and Temporal Patterns of Fire on Saipan, CNMI
Bubb, I. E., & Williams, Z. B. (2022) · Pacific Science · doi:10.2984/76.1.1 · Cited by 4 · see citing works
Fires enhanced productivity in fire-adapted subtropical pinelands of the Florida Everglades
McLeod, G., Tupaj, M., Gann, D., Ross, M. S., & Malone, S. L. (2025) · The Science of The Total Environment · doi:10.1016/j.scitotenv.2025.180602 · Cited by 3 · see citing works
On the Need of Quick Monitoring for Wildfire Response from City Halls
Proença, M. D. C. (2022) · Indian Journal of Image Processing and Recognition · doi:10.54105/ijipr.c1014.042322 · Cited by 3 · see citing works
High-Severity Fire in Chaparral: Cognitive Dissonance in the Shrublands
Halsey, R. W., & Syphard, A. D. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-13790-7.00010-7 · Cited by 2 · see citing works
Fire Regions of a Northern Amazonian Landscape Relative to Indigenous Peoples’ Lands
Cummings, A. R., Kennady, B. J., & Adeuga, A. M. (2025) · Remote Sensing · doi:10.3390/rs17193386 · Cited by 2 · see citing works
Shama, A., Zhang, R., He, X., He, J., Yang, Z., Zhang, H., Chen, J., Zhao, L., Zhang, Y., & Liu, G. (2026) · Agricultural and Forest Meteorology · doi:10.1016/j.agrformet.2026.111163 · Cited by 2 · see citing works
Short-interval fires and vegetation change in southern CaliforniaPreprint
Lucero, S. M., Emery, N. C., & D’Antonio, C. M. (2021) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2021.05.08.443193 · Cited by 2 · see citing works
Self-citationMachine learning approach to burned area mapping for Southern California
Ross, C., Stow, D. A., Sousa, D. J., Jennings, M. K., Nara, A., & Riggan, P. J. (2024) · International Journal of Remote Sensing · doi:10.1080/01431161.2024.2380543 · Cited by 1 · see citing works
Thomson, D. M. (2024) · Restoration Ecology · doi:10.1111/rec.14274 · Cited by 1 · see citing works
Vegetation and fire in lowland dry forest at Wa’ahila Ridge on O’ahu, Hawai’i
Lu, P., & DeLay, J. K. (2016) · PhytoKeys · doi:10.3897/phytokeys.68.7130 · Cited by 1 · see citing works
Assessing Post-Fire Tree Mortality and Biomass Change by Integrating Lidar and Hyperspectral data
Zhao, F., Meng, R., Gu, H., & Serbin, S. P. (2019) · IEEE International Geoscience and Remote Sensing Symposium (IGARSS) · doi:10.1109/igarss.2019.8900522
Self-citationShrestha, S. (2024) · doi:10.5194/egusphere-2023-1002-ac1
Shrestha, S. (2024) · doi:10.5194/egusphere-2023-1002-ac2
Felegari, S., Ghahraman, K., Khosravi, Y., & Ghanbarian, B. (2026) · Remote Sensing Applications Society and Environment · doi:10.1016/j.rsase.2026.102070
Rose, M. B., Franklin, J., Butterfield, H. S., Rohwer, P., Beck, A., Viteri, M. C., Howard, J. K., Principe, Z., Craig, A., & Sousa, D. J. (2026) · Ecosphere · doi:10.1002/ecs2.70752
- Authors
- Meng, R., Dennison, P. E., D’Antonio, C. M., & Moritz, M. A.
- Affiliations
- University of Utah (US)
- University of California, Santa Barbara (US)
- University of California, Berkeley (US)
- Corresponding author
- Meng, Ran
- Venue
- PLoS ONE
- Publisher
- Public Library of Science (PLoS)
- Published
- 2014-10-22
- Volume
- 9
- Issue
- 10
- Pages
- e110637
- ISSN
- 1932-6203 (ISSN-L)
- PMC
- PMC4206446
- OpenAlex
- W2088034319
- Cited by
- 65
- References
- 66
- Citations by year
- 2026: 3 · 2025: 6 · 2024: 9 · 2023: 5 · 2022: 7 · 2021: 6 · 2020: 6 · 2019: 8 · 2018: 6 · 2017: 3 · 2016: 4 · 2015: 2
- FWCI
- 2.47
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- PLoS ONE (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- California Energy Commission (500-10-045)
- Topics
- Physical Sciences › Environmental Science › Global and Planetary Change › Fire effects on ecosystems
- Physical Sciences › Environmental Science › Ecology › Rangeland and Wildlife Management
- Physical Sciences › Environmental Science › Nature and Landscape Conservation › Ecology and Vegetation Dynamics Studies
- Keywords
- chaparral, vegetation recovery, type conversion, fire frequency, alien plant invasion, Normalized Burn Ratio, fire history, altitude, climate, grassland conversion, Southern California
- MeSH terms
- California, Climate, Fires, Plants, Ecosystem, Remote Sensing Technology, Plant Dispersal, Plant Development
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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