Correction: Fire severity influences large wood and stream ecosystem responses in western Oregon watersheds

IF 3.6 3区环境科学与生态学 Q1 ECOLOGY Fire Ecology Pub Date : 2024-01-18 DOI:10.1186/s42408-023-00240-0

Ashley A. Coble, Brooke E. Penaluna, Laura J. Six, Jake Verschuyl

{"title":"Correction: Fire severity influences large wood and stream ecosystem responses in western Oregon watersheds","authors":"Ashley A. Coble, Brooke E. Penaluna, Laura J. Six, Jake Verschuyl","doi":"10.1186/s42408-023-00240-0","DOIUrl":null,"url":null,"abstract":"Correction: Fire Ecol 19, 34 (2023)https://doi.org/10.1186/s42408-023–00192-5When analysing subsequent years of fish and amphibian data, the authors identified an error in some of the reach area calculations that affected vertebrate densities for some sites (density and biomass density for fish and amphibians). Specifically, the formula for reach area in some cells (5 sites) referenced wetted width from an adjacent site instead of the correct site. Because this error did not occur across all cells (sites) and because abundance data were not affected this calculation error was not readily apparent. This error affected densities for fish and amphibians at some sites, including 2 of the most severely burned sites, and therefore affects the individual fish and amphibian responses reported in Fig. 7 a, b. For consistency, Fig. 5 (PCA) has also been updated to reflect these changes.<figure><figcaption>Fig. 5</figcaption><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs42408-023-00240-0/MediaObjects/42408_2023_240_Fig1_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 1\" aria-describedby=\"Fig1\" height=\"1604\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs42408-023-00240-0/MediaObjects/42408_2023_240_Fig1_HTML.png\" width=\"685\"/></picture>Principal components analysis (PCA) and relationships of axes with fire severity and pre-fire stand age. a PCA with scores and loadings of physical, chemical, biological, and watershed characteristics. b Principal component 1 (PC1) varied as a function of fire severity as RAVG mean. c Principal component 2 (PC2) varied as a function of pre-fire stand ageFull size image<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure>This correction affects only the fish and amphibian density and biomass density results (Fig. 5, Fig. 7 panel a and b), with minimal edits to the text. However, this small adjustment does not affect the overall conclusions or interpretation of the article, which focuses on the response of in-stream large wood and riparian coarse wood to wildfire.<figure><figcaption>Fig. 7</figcaption><picture><source srcset=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs42408-023-00240-0/MediaObjects/42408_2023_240_Fig2_HTML.png?as=webp\" type=\"image/webp\"/><img alt=\"figure 2\" aria-describedby=\"Fig2\" height=\"551\" loading=\"lazy\" src=\"//media.springernature.com/lw685/springer-static/image/art%3A10.1186%2Fs42408-023-00240-0/MediaObjects/42408_2023_240_Fig2_HTML.png\" width=\"685\"/></picture>Biological responses that varied as a function of fire severity (RAVG). Biological responses included: a fish density (no m−2); b fish biomass density (g m−2); c macroinvertebrate density (no m−2); d macroinvertebrate Shannon–Weaver diversity (Shannon diversity); e scrapers (%); f intolerant taxa (%); and (g) sensitive taxaFull size image<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-chevron-right-small\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg></figure>The original article (Coble et al. 1) has been corrected.The corrected figures can be found below with a table of corrections that have been implemented in the original article.Table of corrections<table><thead><tr><th>Section</th><th>Originally published text</th><th>Corrected text</th></tr></thead><tbody><tr><td>AbstractResults section</td><td>At higher fire severities, riparian tree mortality, salvage logging, light, and dissolved organic matter (DOM) concentrations were higher, whereas canopy cover, LW diameter, macroinvertebrate diversity, and fish density were lower</td><td>At higher fire severities, riparian tree mortality, salvage logging, light, and dissolved organic matter (DOM) concentrations, and fish densities were higher, whereas canopy cover, LW diameter, macroinvertebrate diversity, and amphibian density were lower</td></tr><tr><td>AbstractConclusions section</td><td>Severe fires burn more overstory riparian vegetation, leading to increased light,DOM concentrations, and macroinvertebrate densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and fish densities</td><td>Severe fires burn more overstory riparian vegetation, leading to increased light, DOM concentrations, and macroinvertebrate and fish densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and amphibian densities</td></tr><tr><td>Principal components analysis sectionFirst paragraph</td><td>Principal component 1 (PC1) explained 26.1% of the variation and was positively related to canopy cover, LW diameter geometric mean, and macroinvertebrate sensitive and intolerant taxa, and negatively related to overstory tree mortality, PAR, watershed salvage logging, DOC, and stream temperature (Fig. 5a). Principal component 2 (PC2) explained 15.7% of the variation and was positively related to SUVA254, MAT, PO43−, and TP, but negatively related to MAP and elevation</td><td>Principal component 1 (PC1) explained 25.6% of the variation and was positively related to canopy cover, LW diameter geometric mean, and macroinvertebrate sensitive and intolerant taxa, and negatively related to overstory tree mortality, PAR, watershed salvage logging, DOC, and stream temperature (Fig. 5a). Principal component 2 (PC2) explained 15.9% of the variation and was positively related to SUVA254, MAT, PO43−, and TP, but negatively related to MAP and elevation</td></tr><tr><td>Principal components analysis sectionSecond paragraph</td><td>Fire severity was a significant predictor of PC1 revealing more severely burned watersheds had greater tree mortality, salvage logging, light availability, DOC, DON, NH4+, and stream temperature, and had lower canopy cover, fish density, sensitive and intolerant macroinvertebrate taxa, percent scrapers, and smaller diameter wood in streams and riparian areas (Fig. 5b; Additional File 2)</td><td>Fire severity was a significant predictor of PC1 revealing more severely burned watersheds had greater tree mortality, salvage logging, light availability, DOC, DON, NH4+, fish density, and stream temperature, and had lower canopy cover, sensitive and intolerant macroinvertebrate taxa, percent scrapers, and smaller-diameter wood in streams and riparian areas (Fig. 5b; Additional File 2)</td></tr><tr><td>Covariate response to fire severity or pre‑fire stand age sectionFifth paragraph</td><td>We hypothesized that stream biota would respond negatively to streams exposed to greater fire severity, and our results are consistent with this hypothesis for some top predators. Of top predators (fish or amphibians), we found that only fish density and fish biomass density varied with fire severity and pre-fire stand age, whereas amphibian density and amphibian biomass density did not vary with any predictors (Fig. 5). We observed a significant interaction of fish density to fire severity and pre-fire stand age, and to their individual main effects. Fish biomass density varied with fire severity, but not pre-fire stand age or their interaction. Fish density and fish biomass density were lower in more severely burned watersheds, but fish density was greater in watersheds draining younger pre-fire stand ages</td><td>We hypothesized that stream biota would respond negatively to streams exposed to greater fire severity, and our results are consistent with this hypothesis for amphibians, but not fish. Amphibian density varied with fire severity and pre-fire stand age, whereas fish density varied with fire severity. Fish biomass density and amphibian biomass density did not vary with any predictors (Fig. 5). We did not observe a significant interaction of amphibian density to fire severity and pre-fire stand age, but their individual main effects were significant with greater amphibian densities occurring in less severely burned watersheds and in older pre-fire stand ages. Fish density was greater in more severely burned watersheds</td></tr><tr><td>Fire severity and pre‑fire stand age influence aquatic ecosystems sectionFirst paragraph</td><td>In watersheds that burned at higher severity, overstory mortality, light availability, DOM concentrations, salvage logging, and stream temperature increased whereas canopy cover, LW diameter, sensitive and intolerant macroinvertebrate taxa, functional feeding group of scrapers, fish density, and fish biomass density decreased</td><td>In watersheds that burned at higher severity, overstory mortality, light availability, DOM concentrations, salvage logging, stream temperature, and fish density increased whereas canopy cover, LW diameter, sensitive and intolerant macroinvertebrate taxa, functional feeding group of scrapers, and amphibian density decreased</td></tr><tr><td>Fire severity and pre‑fire stand age influence aquatic ecosystems sectionSixth paragraph</td><td>We found that fish density and biomass density decreased in more severely burned watersheds across our study area, which includes 24 sites and multiple fires</td><td>We found that fish density increased and amphibian density decreased in more severely burned watersheds across our study area, which includes 24 sites and multiple fires</td></tr><tr><td>Fire severity and pre‑fire stand age influence aquatic ecosystems sectionSixth paragraph</td><td>These changes likely collectively contributed to declines in fish density and fish biomass density. Despite immediate declines observed in our study, these native populations are expected to recover quickly (Rieman and Clayton 1997; Dunham et al. 2003; Rieman et al. 2012; Gomez Isaza et al. 2022), and ongoing monitoring will aid in our understanding of recovery across a range of fire severity across sites from different fires</td><td>These changes likely collectively contributed to greater fish density and lower amphibian density. Despite mixed predator responses observed in our study, these native populations are expected to recover quickly (Rieman and Clayton 1997; Dunham et al. 2003; Rieman et al. 2012; Gomez Isaza et al. 2022), and ongoing monitoring will aid in our understanding of recovery across a range of fire severity across sites from different fires</td></tr><tr><td>Conclusions</td><td>Within the first 8 to 11 months after western Cascades mega-fires, we found more severe fires burned more overstory riparian vegetation, leading to increased light, DOM concentrations, and macroinvertebrate densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and fish densities</td><td>Within the first 8 to 11 months after western Cascades mega-fires, we found more severe fires burned more overstory riparian vegetation, leading to increased light, DOM concentrations, and macroinvertebrate and fish densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and amphibian densities</td></tr><tr><td>Additional file 5</td><td>Biological variables as a function of pre-fire stand age (y). Variables included: a) Ash-free dry mass (g m−2), b) Collector-filterer (%), c) Shredders (%), d) EPT (%), e) Amphibian density (no. m−2), and f)Amphibian biomass density (g m−2)</td><td>Biological variables as a function of pre-fire stand age (y) and fire severity (RAVG). Variables included: a) Ash-free dry mass (g m−2), b) Collector-filterer (%), c) Shredders (%), d) EPT (%), e) Fish biomass density (g m−2), and f) Amphibian biomass density (g m−2)</td></tr></tbody></table><ol data-track-component=\"outbound reference\"><li data-counter=\"1.\">Coble, A.A., Penaluna, B.E., Six, L.J. et al. Fire severity influences large wood and stream ecosystem responses in western Oregon watersheds. Fire Ecol 19, 34 (2023). https://doi.org/10.1186/s42408-023-00192-5.</li></ol>Download references<svg aria-hidden=\"true\" focusable=\"false\" height=\"16\" role=\"img\" width=\"16\"><use xlink:href=\"#icon-eds-i-download-medium\" xmlns:xlink=\"http://www.w3.org/1999/xlink\"></use></svg><h3>Authors and Affiliations</h3><ol><li>NCASI, 2438 NW Professional Drive, Corvallis, OR, 97330, USAAshley A. Coble</li><li>U.S.D.A. Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331, USABrooke E. Penaluna</li><li>Weyerhaeuser Company, 505 N Pearl St, Centralia, WA, 98531, USALaura J. Six</li><li>NCASI, 1117 3Rd Street, Anacortes, WA, 98221, USAJake Verschuyl</li></ol>Authors<ol><li>Ashley A. CobleView author publicationsYou can also search for this author in PubMed Google Scholar</li><li>Brooke E. PenalunaView author publicationsYou can also search for this author in PubMed Google Scholar</li><li>Laura J. SixView author publicationsYou can also search for this author in PubMed Google Scholar</li><li>Jake VerschuylView author publicationsYou can also search for this author in PubMed Google Scholar</li></ol><h3>Corresponding author</h3>Correspondence to Ashley A. Coble.Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.\nReprints and permissions<img alt=\"Check for updates. 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Correction: Fire Ecol 19, 34 (2023)

https://doi.org/10.1186/s42408-023–00192-5

When analysing subsequent years of fish and amphibian data, the authors identified an error in some of the reach area calculations that affected vertebrate densities for some sites (density and biomass density for fish and amphibians). Specifically, the formula for reach area in some cells (5 sites) referenced wetted width from an adjacent site instead of the correct site. Because this error did not occur across all cells (sites) and because abundance data were not affected this calculation error was not readily apparent. This error affected densities for fish and amphibians at some sites, including 2 of the most severely burned sites, and therefore affects the individual fish and amphibian responses reported in Fig. 7 a, b. For consistency, Fig. 5 (PCA) has also been updated to reflect these changes.

This correction affects only the fish and amphibian density and biomass density results (Fig. 5, Fig. 7 panel a and b), with minimal edits to the text. However, this small adjustment does not affect the overall conclusions or interpretation of the article, which focuses on the response of in-stream large wood and riparian coarse wood to wildfire.

The original article (Coble et al. 1) has been corrected.

The corrected figures can be found below with a table of corrections that have been implemented in the original article.

Table of corrections

Section	Originally published text	Corrected text
Abstract Results section	At higher fire severities, riparian tree mortality, salvage logging, light, and dissolved organic matter (DOM) concentrations were higher, whereas canopy cover, LW diameter, macroinvertebrate diversity, and fish density were lower	At higher fire severities, riparian tree mortality, salvage logging, light, and dissolved organic matter (DOM) concentrations, and fish densities were higher, whereas canopy cover, LW diameter, macroinvertebrate diversity, and amphibian density were lower
Abstract Conclusions section	Severe fires burn more overstory riparian vegetation, leading to increased light, DOM concentrations, and macroinvertebrate densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and fish densities	Severe fires burn more overstory riparian vegetation, leading to increased light, DOM concentrations, and macroinvertebrate and fish densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and amphibian densities
Principal components analysis section First paragraph	Principal component 1 (PC1) explained 26.1% of the variation and was positively related to canopy cover, LW diameter geometric mean, and macroinvertebrate sensitive and intolerant taxa, and negatively related to overstory tree mortality, PAR, watershed salvage logging, DOC, and stream temperature (Fig. 5a). Principal component 2 (PC2) explained 15.7% of the variation and was positively related to SUVA₂₅₄, MAT, PO₄³⁻, and TP, but negatively related to MAP and elevation	Principal component 1 (PC1) explained 25.6% of the variation and was positively related to canopy cover, LW diameter geometric mean, and macroinvertebrate sensitive and intolerant taxa, and negatively related to overstory tree mortality, PAR, watershed salvage logging, DOC, and stream temperature (Fig. 5a). Principal component 2 (PC2) explained 15.9% of the variation and was positively related to SUVA₂₅₄, MAT, PO₄³⁻, and TP, but negatively related to MAP and elevation
Principal components analysis section Second paragraph	Fire severity was a significant predictor of PC1 revealing more severely burned watersheds had greater tree mortality, salvage logging, light availability, DOC, DON, NH₄⁺, and stream temperature, and had lower canopy cover, fish density, sensitive and intolerant macroinvertebrate taxa, percent scrapers, and smaller diameter wood in streams and riparian areas (Fig. 5b; Additional File 2)	Fire severity was a significant predictor of PC1 revealing more severely burned watersheds had greater tree mortality, salvage logging, light availability, DOC, DON, NH₄⁺, fish density, and stream temperature, and had lower canopy cover, sensitive and intolerant macroinvertebrate taxa, percent scrapers, and smaller-diameter wood in streams and riparian areas (Fig. 5b; Additional File 2)
Covariate response to fire severity or pre‑fire stand age section Fifth paragraph	We hypothesized that stream biota would respond negatively to streams exposed to greater fire severity, and our results are consistent with this hypothesis for some top predators. Of top predators (fish or amphibians), we found that only fish density and fish biomass density varied with fire severity and pre-fire stand age, whereas amphibian density and amphibian biomass density did not vary with any predictors (Fig. 5). We observed a significant interaction of fish density to fire severity and pre-fire stand age, and to their individual main effects. Fish biomass density varied with fire severity, but not pre-fire stand age or their interaction. Fish density and fish biomass density were lower in more severely burned watersheds, but fish density was greater in watersheds draining younger pre-fire stand ages	We hypothesized that stream biota would respond negatively to streams exposed to greater fire severity, and our results are consistent with this hypothesis for amphibians, but not fish. Amphibian density varied with fire severity and pre-fire stand age, whereas fish density varied with fire severity. Fish biomass density and amphibian biomass density did not vary with any predictors (Fig. 5). We did not observe a significant interaction of amphibian density to fire severity and pre-fire stand age, but their individual main effects were significant with greater amphibian densities occurring in less severely burned watersheds and in older pre-fire stand ages. Fish density was greater in more severely burned watersheds
Fire severity and pre‑fire stand age influence aquatic ecosystems section First paragraph	In watersheds that burned at higher severity, overstory mortality, light availability, DOM concentrations, salvage logging, and stream temperature increased whereas canopy cover, LW diameter, sensitive and intolerant macroinvertebrate taxa, functional feeding group of scrapers, fish density, and fish biomass density decreased	In watersheds that burned at higher severity, overstory mortality, light availability, DOM concentrations, salvage logging, stream temperature, and fish density increased whereas canopy cover, LW diameter, sensitive and intolerant macroinvertebrate taxa, functional feeding group of scrapers, and amphibian density decreased
Fire severity and pre‑fire stand age influence aquatic ecosystems section Sixth paragraph	We found that fish density and biomass density decreased in more severely burned watersheds across our study area, which includes 24 sites and multiple fires	We found that fish density increased and amphibian density decreased in more severely burned watersheds across our study area, which includes 24 sites and multiple fires
Fire severity and pre‑fire stand age influence aquatic ecosystems section Sixth paragraph	These changes likely collectively contributed to declines in fish density and fish biomass density. Despite immediate declines observed in our study, these native populations are expected to recover quickly (Rieman and Clayton 1997; Dunham et al. 2003; Rieman et al. 2012; Gomez Isaza et al. 2022), and ongoing monitoring will aid in our understanding of recovery across a range of fire severity across sites from different fires	These changes likely collectively contributed to greater fish density and lower amphibian density. Despite mixed predator responses observed in our study, these native populations are expected to recover quickly (Rieman and Clayton 1997; Dunham et al. 2003; Rieman et al. 2012; Gomez Isaza et al. 2022), and ongoing monitoring will aid in our understanding of recovery across a range of fire severity across sites from different fires
Conclusions	Within the first 8 to 11 months after western Cascades mega-fires, we found more severe fires burned more overstory riparian vegetation, leading to increased light, DOM concentrations, and macroinvertebrate densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and fish densities	Within the first 8 to 11 months after western Cascades mega-fires, we found more severe fires burned more overstory riparian vegetation, leading to increased light, DOM concentrations, and macroinvertebrate and fish densities, along with reduced canopy cover, LW diameter, macroinvertebrate diversity, and amphibian densities
Additional file 5	Biological variables as a function of pre-fire stand age (y). Variables included: a) Ash-free dry mass (g m⁻²), b) Collector-filterer (%), c) Shredders (%), d) EPT (%), e) Amphibian density (no. m⁻²), and f) Amphibian biomass density (g m⁻²)	Biological variables as a function of pre-fire stand age (y) and fire severity (RAVG). Variables included: a) Ash-free dry mass (g m⁻²), b) Collector-filterer (%), c) Shredders (%), d) EPT (%), e) Fish biomass density (g m⁻²), and f) Amphibian biomass density (g m⁻²)

Coble, A.A., Penaluna, B.E., Six, L.J. et al. Fire severity influences large wood and stream ecosystem responses in western Oregon watersheds. Fire Ecol 19, 34 (2023). https://doi.org/10.1186/s42408-023-00192-5.

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Authors and Affiliations

NCASI, 2438 NW Professional Drive, Corvallis, OR, 97330, USA
Ashley A. Coble
U.S.D.A. Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331, USA
Brooke E. Penaluna
Weyerhaeuser Company, 505 N Pearl St, Centralia, WA, 98531, USA
Laura J. Six
NCASI, 1117 3Rd Street, Anacortes, WA, 98221, USA
Jake Verschuyl

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Correspondence to Ashley A. Coble.

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Coble, A.A., Penaluna, B.E., Six, L.J. et al. Correction: Fire severity influences large wood and stream ecosystem responses in western Oregon watersheds. fire ecol 20, 5 (2024). https://doi.org/10.1186/s42408-023-00240-0

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更正：火灾严重程度影响俄勒冈州西部流域的大型木材和溪流生态系统响应

图 5b；附加文件 2）火灾严重程度是 PC1 的一个重要预测因子，它表明火灾越严重的流域，其树木死亡率、挽救性采伐、光照可用性、 DOC、DON、NH4+、鱼类密度和溪流温度越高，树冠覆盖率、敏感和不耐受大型无脊椎动物类群、刮削器百分比以及溪流和河岸地区的小直径木材越低（图 5b；附加文件 2）。第五段我们假设溪流生物群会对暴露于更严重火灾的溪流做出负面反应，我们的结果与一些顶级捕食者的假设一致。在顶级捕食者（鱼类或两栖动物）中，我们发现只有鱼类密度和鱼类生物量密度随火灾严重程度和火灾前林木年龄而变化，而两栖动物密度和两栖动物生物量密度则不随任何预测因子而变化（图 5）。我们观察到鱼类密度与火灾严重程度、火灾前林龄以及它们各自的主效应之间存在明显的交互作用。鱼类生物量密度随火灾严重程度而变化，但不随火灾前林龄或它们之间的交互作用而变化。我们的假设是，溪流生物群会对遭受严重火灾的溪流做出负面反应，我们的结果与两栖动物的假设一致，但与鱼类的假设不一致。两栖动物的密度随火灾严重程度和火灾前林木年龄的变化而变化，而鱼类的密度则随火灾严重程度的变化而变化。鱼类生物量密度和两栖动物生物量密度不随任何预测因子的变化而变化（图 5）。我们没有观察到两栖动物密度与火灾严重程度和火灾前林木年龄之间存在明显的交互作用，但它们各自的主效应都很明显，在烧毁程度较轻的流域和火灾前林木年龄较大的地区，两栖动物密度较大。火灾严重程度和火灾前林木年龄对水生生态系统的影响第一段在火灾严重程度较高的流域，上层林木死亡率、光照可用性、DOM 浓度、抢救性砍伐和溪流温度都有所上升，而树冠覆盖率、LW 直径、DOM 浓度和溪流温度都有所下降、敏感和不耐受大型无脊椎动物类群、刮食者功能摄食群、鱼类密度和鱼类生物量密度降低在燃烧严重程度较高的流域，上层树木死亡率、光照可用性、DOM 浓度、抢救性采伐、溪流温度和鱼类密度增加，而树冠覆盖率、LW 直径、鱼类生物量密度和鱼类生物量密度降低、火灾严重程度和火灾前林木年龄对水生生态系统的影响第 6 段我们发现，在整个研究区域内，火灾较严重的流域的鱼类密度和生物量密度都有所下降、这些变化可能共同导致了鱼类密度和鱼类生物量密度的下降。尽管在我们的研究中观察到了直接的下降，但预计这些本地种群将很快恢复（Rieman 和 Clayton，1997 年；Dunham 等人，2003 年；Rieman 等人，2012 年；Gomez Isaza 等人，2022 年）。尽管在我们的研究中观察到的捕食者反应不一，但预计这些本地种群将很快恢复（Rieman 和 Clayton，1997 年；Dunham 等，2003 年；Rieman 等，2012 年；Gomez Isaza 等，2022 年）。结论在喀斯喀特西部特大火灾后的最初 8 到 11 个月内，我们发现更严重的火灾烧毁了更多的上层河岸植被，导致光照、DOM 浓度和大型无脊椎动物密度增加，同时降低了树冠覆盖率、LW 直径、大型无脊椎动物多样性以及鱼类密度、在西卡斯卡特大火灾后的最初 8 到 11 个月内，我们发现更严重的火灾烧毁了更多的上层河岸植被，导致光照、DOM 浓度、大型无脊椎动物和鱼类密度增加，同时树冠覆盖率、LW 直径、大型无脊椎动物多样性和两栖动物密度降低附加文件 5 生物变量与火灾前林木年龄（y）的函数关系。变量包括：a) 无灰干质量（g m-2）；b) 采集器-滤网（%）；c) 碎纸机（%）；d) EPT（%）；e) 两栖动物密度（no. 生物变量与火灾前林龄（y）和火灾严重程度（RAVG）的函数关系。变量包括：a) 无灰干质量（克 m-2）；b) 采集器-滤器（%）；c) 碎纸机（%）；d) EPT（%）；e) 鱼类生物量密度（克 m-2）；f) 两栖动物生物量密度（克 m-2）Coble, A.A., Penaluna, B.E., Six, L.J. et al. 火灾严重程度影响俄勒冈州西部流域的大型木材和溪流生态系统响应。Fire Ecol 19, 34 (2023). https://doi.org/10.1186/s42408-023-00192-5.Download 参考文献作者及单位NCASI, 2438 NW Professional Drive, Corvallis, OR, 97330, USAAshley A. CobleU.S.D.A. Forest Service, Pacific Northwest Research Station, 3200 SW Jefferson Way, Corvallis, OR, 97331, USABrooke E.PenalunaWeyerhaeuser Company, 505 N Pearl St, Centralia, WA, 98531, USALaura J. SixNCASI, 1117 3Rd Street, Anacortes, WA, 98221, USAJake VerschuylAuthorsAshley A. CobleView author publications您也可以在PubMed Google Scholar中搜索该作者Brooke E. PenalunaView author publications您也可以在PubMed Google Scholar中搜索该作者Laura J. Six查看作者发表的文章Six查看作者发表的文章您也可以在PubMed Google Scholar中搜索该作者Jake Verschuyl查看作者发表的文章您也可以在PubMed Google Scholar中搜索该作者通信作者Ashley A. Coble.开放存取本文采用知识共享署名 4.0 国际许可协议进行许可，该协议允许以任何媒介或格式使用、共享、改编、分发和复制，只要您适当注明原作者和来源，提供知识共享许可协议的链接，并注明是否进行了修改。本文中的图片或其他第三方材料均包含在文章的知识共享许可协议中，除非在材料的署名栏中另有说明。如果材料未包含在文章的知识共享许可协议中，且您打算使用的材料不符合法律规定或超出许可使用范围，您需要直接从版权所有者处获得许可。要查看该许可的副本，请访问 http://creativecommons.org/licenses/by/4.0/.Reprints and permissionsCite this articleCoble, A.A., Penaluna, B.E., Six, L.J. et al. Correction：Fire Ecol 20, 5 (2024). https://doi.org/10.1186/s42408-023-00240-0Download citationPublished: 18 January 2024DOI: https://doi.org/10.1186/s42408-023-00240-0Share this articleAnyone you share the following link with will be able to read this content:Get shareable linkSorry, a shareable link is not currently available for this article.Copy to clipboard Provided by the Springer Nature SharedIt content-sharing initiative

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Fire Ecology ECOLOGY-FORESTRY

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6.20

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7.80%

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20 weeks

期刊介绍： Fire Ecology is the international scientific journal supported by the Association for Fire Ecology. Fire Ecology publishes peer-reviewed articles on all ecological and management aspects relating to wildland fire. We welcome submissions on topics that include a broad range of research on the ecological relationships of fire to its environment, including, but not limited to: Ecology (physical and biological fire effects, fire regimes, etc.) Social science (geography, sociology, anthropology, etc.) Fuel Fire science and modeling Planning and risk management Law and policy Fire management Inter- or cross-disciplinary fire-related topics Technology transfer products.

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