{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,7]],"date-time":"2026-08-07T15:02:12Z","timestamp":1786114932754,"version":"build-2736575974"},"reference-count":68,"publisher":"Wiley","issue":"3","license":[{"start":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T00:00:00Z","timestamp":1773619200000},"content-version":"vor","delay-in-days":15,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,3,1]],"date-time":"2026-03-01T00:00:00Z","timestamp":1772323200000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Ecology and Evolution"],"published-print":{"date-parts":[[2026,3]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n                  <jats:p>In 1910, the U.S. federal government began an official policy of suppressing wildfires. Decades later it became understood that the giant sequoia, the world's most massive tree, is serotinous and depends upon fire to effectively reproduce. For a century, fire was almost completely excluded from giant sequoia groves, until a series of lightning fires over the past decade. After these fires, U.S. land managers hypothesized that the blazes had caused unprecedented levels of high\u2010severity fire due to a century of fire suppression and fuel accumulation. Based on this assumption, U.S. legislation is now proposed to override environmental laws to allow logging in all giant sequoia groves on federal public lands, including in Wilderness Areas and national parks, in the name of wildfire prevention. In addition, lower\u2010severity prescribed fires are now being implemented as a means to prevent and suppress mixed\u2010severity wildfires, based on the assumption that high initial post\u2010burn sequoia seedling densities after prescribed fire will translate to relatively high densities in later years. I investigated the effects of wildfire suppression in giant sequoia groves using GIS data of wildfire perimeters dating back to 1910, fire severity data from 2012 to present, and a government prescribed fire and sequoia regeneration dataset. I found fire of all severities since 1910 is below frequencies that occurred before fire suppression. I found no correlation between time\u2010since\u2010fire and the percentage of area burned comprised by high\u2010severity fire in giant sequoia groves. Further, I found no correlation between initial (1\u2009year post\u2010burn) sequoia seedling densities and densities at 10\u2009years following prescribed fire. The percentage of all plots lacking any sequoia regeneration after prescribed fire increased significantly over time. Only 23% of prescribed fire plots lacked sequoia regeneration at 1\u2009year post\u2010burn, while 82% of prescribed fire plots lacked sequoia regeneration at 20\u2009years post\u2010burn.<\/jats:p>","DOI":"10.1002\/ece3.73286","type":"journal-article","created":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T23:14:22Z","timestamp":1773702862000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Is Wildfire Suppression in Giant Sequoia Groves a Problem, a Solution, or Neither?"],"prefix":"10.1002","volume":"16","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3544-511X","authenticated-orcid":false,"given":"Chad T.","family":"Hanson","sequence":"first","affiliation":[{"name":"Earth Island Institute  Berkeley California USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,3,16]]},"reference":[{"key":"e_1_2_10_2_1","doi-asserted-by":"publisher","DOI":"10.3390\/land11070995"},{"key":"e_1_2_10_3_1","doi-asserted-by":"publisher","DOI":"10.1890\/ES14-00046.1"},{"key":"e_1_2_10_4_1","doi-asserted-by":"publisher","DOI":"10.3390\/fire6110428"},{"key":"e_1_2_10_5_1","doi-asserted-by":"publisher","DOI":"10.1186\/s42408-025-00356-5"},{"key":"e_1_2_10_6_1","doi-asserted-by":"publisher","DOI":"10.1002\/ecs2.1492"},{"key":"e_1_2_10_7_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11258-014-0424-x"},{"key":"e_1_2_10_8_1","doi-asserted-by":"publisher","DOI":"10.2307\/1313612"},{"key":"e_1_2_10_9_1","doi-asserted-by":"publisher","DOI":"10.1186\/s42408-021-00098-0"},{"key":"e_1_2_10_10_1","doi-asserted-by":"publisher","DOI":"10.1890\/080088"},{"key":"e_1_2_10_11_1","doi-asserted-by":"publisher","DOI":"10.1126\/science.1122855"},{"key":"e_1_2_10_12_1","volume-title":"Primer of Biostatistics","author":"Glantz S. 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