Bark attributes determine variation in fire resistance in resprouting tree species
Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Nolan, Rachael H. [verfasserIn] Rahmani, Simin [verfasserIn] Samson, Stephanie A. [verfasserIn] Simpson-Southward, Harriet M. [verfasserIn] Boer, Matthias M. [verfasserIn] Bradstock, Ross A. [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2020 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: Forest ecology and management - Amsterdam [u.a.] : Elsevier Science, 1976, 474 |
|---|---|
| Übergeordnetes Werk: |
volume:474 |
| DOI / URN: |
10.1016/j.foreco.2020.118385 |
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ELV004632273 |
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| 245 | 1 | 0 | |a Bark attributes determine variation in fire resistance in resprouting tree species |
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| 520 | |a Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. | ||
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10.1016/j.foreco.2020.118385 doi (DE-627)ELV004632273 (ELSEVIER)S0378-1127(20)31154-3 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Nolan, Rachael H. verfasserin aut Bark attributes determine variation in fire resistance in resprouting tree species 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. Forest Wildfire Eucalypt Banksia Bark Resprouting Rahmani, Simin verfasserin aut Samson, Stephanie A. verfasserin aut Simpson-Southward, Harriet M. verfasserin aut Boer, Matthias M. verfasserin aut Bradstock, Ross A. verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 474 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:474 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 48.00 Land- und Forstwirtschaft: Allgemeines AR 474 |
| spelling |
10.1016/j.foreco.2020.118385 doi (DE-627)ELV004632273 (ELSEVIER)S0378-1127(20)31154-3 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Nolan, Rachael H. verfasserin aut Bark attributes determine variation in fire resistance in resprouting tree species 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. Forest Wildfire Eucalypt Banksia Bark Resprouting Rahmani, Simin verfasserin aut Samson, Stephanie A. verfasserin aut Simpson-Southward, Harriet M. verfasserin aut Boer, Matthias M. verfasserin aut Bradstock, Ross A. verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 474 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:474 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 48.00 Land- und Forstwirtschaft: Allgemeines AR 474 |
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10.1016/j.foreco.2020.118385 doi (DE-627)ELV004632273 (ELSEVIER)S0378-1127(20)31154-3 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Nolan, Rachael H. verfasserin aut Bark attributes determine variation in fire resistance in resprouting tree species 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. Forest Wildfire Eucalypt Banksia Bark Resprouting Rahmani, Simin verfasserin aut Samson, Stephanie A. verfasserin aut Simpson-Southward, Harriet M. verfasserin aut Boer, Matthias M. verfasserin aut Bradstock, Ross A. verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 474 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:474 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 48.00 Land- und Forstwirtschaft: Allgemeines AR 474 |
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10.1016/j.foreco.2020.118385 doi (DE-627)ELV004632273 (ELSEVIER)S0378-1127(20)31154-3 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Nolan, Rachael H. verfasserin aut Bark attributes determine variation in fire resistance in resprouting tree species 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. Forest Wildfire Eucalypt Banksia Bark Resprouting Rahmani, Simin verfasserin aut Samson, Stephanie A. verfasserin aut Simpson-Southward, Harriet M. verfasserin aut Boer, Matthias M. verfasserin aut Bradstock, Ross A. verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 474 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:474 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 48.00 Land- und Forstwirtschaft: Allgemeines AR 474 |
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10.1016/j.foreco.2020.118385 doi (DE-627)ELV004632273 (ELSEVIER)S0378-1127(20)31154-3 DE-627 ger DE-627 rda eng 570 630 640 DE-600 23 12 ssgn 48.00 bkl Nolan, Rachael H. verfasserin aut Bark attributes determine variation in fire resistance in resprouting tree species 2020 nicht spezifiziert zzz rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. Forest Wildfire Eucalypt Banksia Bark Resprouting Rahmani, Simin verfasserin aut Samson, Stephanie A. verfasserin aut Simpson-Southward, Harriet M. verfasserin aut Boer, Matthias M. verfasserin aut Bradstock, Ross A. verfasserin aut Enthalten in Forest ecology and management Amsterdam [u.a.] : Elsevier Science, 1976 474 Online-Ressource (DE-627)320572463 (DE-600)2016648-5 (DE-576)090956303 0378-1127 nnns volume:474 GBV_USEFLAG_U SYSFLAG_U GBV_ELV SSG-OLC-PHA SSG-OPC-FOR GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_224 GBV_ILN_370 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2027 GBV_ILN_2034 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2056 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2336 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4313 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4338 GBV_ILN_4393 48.00 Land- und Forstwirtschaft: Allgemeines AR 474 |
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Nolan, Rachael H. @@aut@@ Rahmani, Simin @@aut@@ Samson, Stephanie A. @@aut@@ Simpson-Southward, Harriet M. @@aut@@ Boer, Matthias M. @@aut@@ Bradstock, Ross A. @@aut@@ |
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Nolan, Rachael H. |
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Nolan, Rachael H. ddc 570 ssgn 23 bkl 48.00 misc Forest misc Wildfire misc Eucalypt misc Banksia misc Bark misc Resprouting Bark attributes determine variation in fire resistance in resprouting tree species |
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Bark attributes determine variation in fire resistance in resprouting tree species |
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Bark attributes determine variation in fire resistance in resprouting tree species |
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Nolan, Rachael H. Rahmani, Simin Samson, Stephanie A. Simpson-Southward, Harriet M. Boer, Matthias M. Bradstock, Ross A. |
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bark attributes determine variation in fire resistance in resprouting tree species |
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Bark attributes determine variation in fire resistance in resprouting tree species |
| abstract |
Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. |
| abstractGer |
Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. |
| abstract_unstemmed |
Predicting the impact of wildfires on ecosystem services and habitat values requires quantifying rates of post-fire tree mortality and topkill. For those species that resprout epicormically (i.e. from above-ground buds), rates of post-fire topkill (death of aboveground biomass) can vary considerably. Laboratory studies indicate that bark attributes are key determinants of post-fire topkill in these resprouting species. Specifically, bark thickness and bark density influence the capacity of bark to insulate the cambium from the lethal temperatures generated during wildfires. Field studies are generally consistent with these laboratory studies and demonstrate that smaller trees, with thinner bark, are more vulnerable to post-fire topkill. However, comparatively few studies model topkill explicitly as a function of bark thickness, and fewer still model topkill as a function of bark density. In this study we measured post-fire mortality and topkill across eight tree species with varying bark types. We also estimated pre-fire bark thickness (from relationships between stem diameter and bark thickness derived from unburnt forest) and measured bark density. We undertook our study at two dry sclerophyll eucalypt forests located in eastern Australia. The two study areas were subject to wildfire 18 months prior to measurements, with one site characterised by a semi-arid climate, and the second site (located 400 km south-east) characterised by a humid climate. We found that species with thick bark and a low bark density were most resistant to topkill. We defined vulnerability to topkill as the stem diameter associated with a 50% probability of topkill, estimated from logistic regressions. Multiple linear regression indicated that bark thickness and density accounted for 65% of the variation in vulnerability to topkill among species. This regression excluded one species; Eucalyptus crebra, which was identified as an outlier. This species was the most vulnerable to topkill and was located at the semi-arid study site. This study site had been subject to a more severe pre-fire drought than the mesic site, suggesting that drought may also have influenced post-fire topkill. However, it is not possible to exclude other species-specific factors or site factors such as climate or fire intensity, which may also have impacted the probability of topkill. Our results demonstrate that bark thickness and density are critically important in developing predictive models of post-fire topkill in resprouting forests. |
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| score |
7.4021015 |