2023
DOI: 10.1016/j.foreco.2022.120729
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Future fire risk and the greenhouse gas mitigation potential of forest rehabilitation in British Columbia, Canada

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Cited by 6 publications
(4 citation statements)
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“…Changes in natural disturbance regimes could become a major issue beyond the period covered by our study (2018–2050) and result in additional future uncertainty. Therefore, additional research is needed to ensure that the combined impacts of natural disturbances and forest management on the carbon balance are captured, especially in the context of a changing climate that is expected to dramatically alter forest disturbance dynamics (Metsaranta et al, 2023; Seidl et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Changes in natural disturbance regimes could become a major issue beyond the period covered by our study (2018–2050) and result in additional future uncertainty. Therefore, additional research is needed to ensure that the combined impacts of natural disturbances and forest management on the carbon balance are captured, especially in the context of a changing climate that is expected to dramatically alter forest disturbance dynamics (Metsaranta et al, 2023; Seidl et al, 2017).…”
Section: Discussionmentioning
confidence: 99%
“…Accordingly, we obtained yearly gridded burned areas occurring after PPT with a 0.25° resolution in Canada and the US from 2002 to 2018. Note that though NBAC and MTBS datasets have been widely used in assessing fire dynamics and their attributions [51][52][53][54] , it should be cautious when using these national-scale fire perimeters data. Because they are generated through completely different approaches and from different data sources, and even within one product some discrepancies could create uncertainties in the estimated burned area boundaries 49,50 .…”
Section: Mtbs Developed By the Us Geological Survey Center For Earth ...mentioning
confidence: 99%
“…The GCBM was built on the open source platform of the spatially explicit Full Lands Integration Tool (FLINT) developed by Moja Global [25]. The GCBM uses the scientific algorithms of the CBM-CFS3 in a spatially explicit modeling environment [3,29,32]. The CBM-CFS3 model uses stand growth and yield curves, tree species, age class, disturbance events, and climate conditions to quantify the effects of past and future land use and land-use changes on forest carbon dynamics and to simulate the carbon stock changes in the aboveground and belowground biomass, dead organic matter (DOM), and soil carbon content at the stand and landscape levels [3,15,27].…”
Section: Generic Carbon Budget Modelmentioning
confidence: 99%
“…The generic carbon budget model (GCBM) is a spatially explicit model that can simulate the carbon dynamics of a region in a grid-based format and at a user-determined scale [25][26][27]. The model can be applied to various aspects of forest management, e.g., climate change mitigation, conservation, the distribution and management of mosses and peatlands, and fire severity; the model can be applied to support forest management efforts in various countries [28][29][30][31].…”
Section: Introductionmentioning
confidence: 99%