Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA
Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests co...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Moris, Jose V. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2022 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2022 |
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| Übergeordnetes Werk: |
Enthalten in: Landscape ecology - Springer Netherlands, 1987, 37(2022), 8 vom: 03. Juli, Seite 2149-2164 |
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| Übergeordnetes Werk: |
volume:37 ; year:2022 ; number:8 ; day:03 ; month:07 ; pages:2149-2164 |
| Links: |
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| DOI / URN: |
10.1007/s10980-022-01478-w |
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OLC2079252178 |
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| 245 | 1 | 0 | |a Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA |
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| 520 | |a Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. | ||
| 650 | 4 | |a Fire severity | |
| 650 | 4 | |a Fire regime | |
| 650 | 4 | |a Mixed-severity fire | |
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| 700 | 1 | |a Reilly, Matthew J. |4 aut | |
| 700 | 1 | |a Yang, Zhiqiang |4 aut | |
| 700 | 1 | |a Cohen, Warren B. |4 aut | |
| 700 | 1 | |a Motta, Renzo |4 aut | |
| 700 | 1 | |a Ascoli, Davide |4 aut | |
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10.1007/s10980-022-01478-w doi (DE-627)OLC2079252178 (DE-He213)s10980-022-01478-w-p DE-627 ger DE-627 rakwb eng 570 910 630 VZ 12 ssgn BIODIV DE-30 fid Moris, Jose V. verfasserin (orcid)0000-0003-0241-7910 aut Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. Fire severity Fire regime Mixed-severity fire Bark thickness Patch size Remote sensing Reilly, Matthew J. aut Yang, Zhiqiang aut Cohen, Warren B. aut Motta, Renzo aut Ascoli, Davide aut Enthalten in Landscape ecology Springer Netherlands, 1987 37(2022), 8 vom: 03. Juli, Seite 2149-2164 (DE-627)130857424 (DE-600)1027798-5 (DE-576)052841901 0921-2973 nnns volume:37 year:2022 number:8 day:03 month:07 pages:2149-2164 https://doi.org/10.1007/s10980-022-01478-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-ARC SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 AR 37 2022 8 03 07 2149-2164 |
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10.1007/s10980-022-01478-w doi (DE-627)OLC2079252178 (DE-He213)s10980-022-01478-w-p DE-627 ger DE-627 rakwb eng 570 910 630 VZ 12 ssgn BIODIV DE-30 fid Moris, Jose V. verfasserin (orcid)0000-0003-0241-7910 aut Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. Fire severity Fire regime Mixed-severity fire Bark thickness Patch size Remote sensing Reilly, Matthew J. aut Yang, Zhiqiang aut Cohen, Warren B. aut Motta, Renzo aut Ascoli, Davide aut Enthalten in Landscape ecology Springer Netherlands, 1987 37(2022), 8 vom: 03. Juli, Seite 2149-2164 (DE-627)130857424 (DE-600)1027798-5 (DE-576)052841901 0921-2973 nnns volume:37 year:2022 number:8 day:03 month:07 pages:2149-2164 https://doi.org/10.1007/s10980-022-01478-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-ARC SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 AR 37 2022 8 03 07 2149-2164 |
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10.1007/s10980-022-01478-w doi (DE-627)OLC2079252178 (DE-He213)s10980-022-01478-w-p DE-627 ger DE-627 rakwb eng 570 910 630 VZ 12 ssgn BIODIV DE-30 fid Moris, Jose V. verfasserin (orcid)0000-0003-0241-7910 aut Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. Fire severity Fire regime Mixed-severity fire Bark thickness Patch size Remote sensing Reilly, Matthew J. aut Yang, Zhiqiang aut Cohen, Warren B. aut Motta, Renzo aut Ascoli, Davide aut Enthalten in Landscape ecology Springer Netherlands, 1987 37(2022), 8 vom: 03. Juli, Seite 2149-2164 (DE-627)130857424 (DE-600)1027798-5 (DE-576)052841901 0921-2973 nnns volume:37 year:2022 number:8 day:03 month:07 pages:2149-2164 https://doi.org/10.1007/s10980-022-01478-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-ARC SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 AR 37 2022 8 03 07 2149-2164 |
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10.1007/s10980-022-01478-w doi (DE-627)OLC2079252178 (DE-He213)s10980-022-01478-w-p DE-627 ger DE-627 rakwb eng 570 910 630 VZ 12 ssgn BIODIV DE-30 fid Moris, Jose V. verfasserin (orcid)0000-0003-0241-7910 aut Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. Fire severity Fire regime Mixed-severity fire Bark thickness Patch size Remote sensing Reilly, Matthew J. aut Yang, Zhiqiang aut Cohen, Warren B. aut Motta, Renzo aut Ascoli, Davide aut Enthalten in Landscape ecology Springer Netherlands, 1987 37(2022), 8 vom: 03. Juli, Seite 2149-2164 (DE-627)130857424 (DE-600)1027798-5 (DE-576)052841901 0921-2973 nnns volume:37 year:2022 number:8 day:03 month:07 pages:2149-2164 https://doi.org/10.1007/s10980-022-01478-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-ARC SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 AR 37 2022 8 03 07 2149-2164 |
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10.1007/s10980-022-01478-w doi (DE-627)OLC2079252178 (DE-He213)s10980-022-01478-w-p DE-627 ger DE-627 rakwb eng 570 910 630 VZ 12 ssgn BIODIV DE-30 fid Moris, Jose V. verfasserin (orcid)0000-0003-0241-7910 aut Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA 2022 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © The Author(s) 2022 Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. Fire severity Fire regime Mixed-severity fire Bark thickness Patch size Remote sensing Reilly, Matthew J. aut Yang, Zhiqiang aut Cohen, Warren B. aut Motta, Renzo aut Ascoli, Davide aut Enthalten in Landscape ecology Springer Netherlands, 1987 37(2022), 8 vom: 03. Juli, Seite 2149-2164 (DE-627)130857424 (DE-600)1027798-5 (DE-576)052841901 0921-2973 nnns volume:37 year:2022 number:8 day:03 month:07 pages:2149-2164 https://doi.org/10.1007/s10980-022-01478-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-ARC SSG-OLC-FOR SSG-OLC-PHA SSG-OLC-DE-84 AR 37 2022 8 03 07 2149-2164 |
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Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. 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using a trait-based approach to asses fire resistance in forest landscapes of the inland northwest, usa |
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Using a trait-based approach to asses fire resistance in forest landscapes of the Inland Northwest, USA |
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Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. © The Author(s) 2022 |
| abstractGer |
Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. © The Author(s) 2022 |
| abstract_unstemmed |
Context Several plant traits are associated with resistance to fire, thus fire-resistant species may give rise to more fire-resistant landscapes. However, up-scaling from plant traits to landscape- and regional-scale fire effects remains a challenge. Objectives We test two hypotheses: (1) forests composed of fire-resistant species experience lower fire severity than forests composed of less fire-resistant species; and (2) wildfires affecting forests with greater fire resistance experience smaller patches of high-severity fire. Methods We used a predictive map of existing forest types (major tree species dominating forest composition) and a trait-based map of fire resistance. We examined large-scale spatial patterns of fire severity derived from Landsat imagery in 611 wildfires across the range of western larch in the Inland Northwest USA (1985–2014). We then applied structural equation modeling to study complex relationships between fire resistance and high-severity fire in each wildfire. Results Forest types dominated by fire-resister species (e.g., ponderosa pine) experienced lower fire severity than forest types dominated by non-resister species such as lodgepole pine (fire-embracer) and subalpine fir (fire-avoider). We found a strong negative correlation between the fire resistance index and average values of the relative differenced normalized burn ratio, as well as an indirect relationship between fire resistance and high-severity patch size. Conclusions The large-scale differences in fire severity among forest types generally reflect the degree of fire resistance that fire-related traits confer to individual trees species, providing evidence that incorporating plant traits has the potential to assist in assessing fire resistance at large spatial scales. © The Author(s) 2022 |
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