2017
DOI: 10.1016/j.jenvman.2017.02.019
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Carbon dynamics on agricultural land reverting to woody land in Ontario, Canada

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Cited by 22 publications
(16 citation statements)
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References 24 publications
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“…In the pilot study area in the OSR of Alberta, we integrated spatially-explicit annual time series of LandSat disturbance data with forest inventory and ecosystem C dynamics modelling by applying the GCBM to approximately 1.3 million ha of upland forest on a 30 m × 30 m (approximate) grid. However, the GCBM can be applied to smaller areas of interest to project proponents, or larger areas for regional analyses that would be of interest to managers or policy makers, using a grid appropriate to the goals of the user [34,35,36]. Using a spatially-explicit model allows us to generate maps of results that can be veri ed by independent third parties, using eld visits or other remote sensing data.…”
Section: Discussionmentioning
confidence: 99%
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“…In the pilot study area in the OSR of Alberta, we integrated spatially-explicit annual time series of LandSat disturbance data with forest inventory and ecosystem C dynamics modelling by applying the GCBM to approximately 1.3 million ha of upland forest on a 30 m × 30 m (approximate) grid. However, the GCBM can be applied to smaller areas of interest to project proponents, or larger areas for regional analyses that would be of interest to managers or policy makers, using a grid appropriate to the goals of the user [34,35,36]. Using a spatially-explicit model allows us to generate maps of results that can be veri ed by independent third parties, using eld visits or other remote sensing data.…”
Section: Discussionmentioning
confidence: 99%
“…The spatially-explicit framework of the GCBM allows for grid-based modelling at a scale determined by the user. A spatially-explicit modelling prototype leading to the development of the GCBM has been applied at the scale of photo plots to assess C dynamics on agricultural lands reverting to woody land in Ontario [34], the scale of a watershed to assess the effect of reservoir expansion in British Columbia [35] and the scale of a region to test the integration of spatially-explicit Landsat derived data layers into C accounting with the CBM-CFS3 [36]. The GCBM is suitable for modelling ne-scale oil and gas disturbances in conjunction with coarse-scale disturbance effects from forest harvesting and wild re over a large landscape area.…”
Section: Introductionmentioning
confidence: 99%
“…Parameters used in this study are those speci c to the Boreal Plains ecozone [51] and are speci ed in Kull et al [29]. In this study we assume that all C transferred to the forest product sector is instantly oxidized and released to the atmosphere, and thus overestimate the direct emissions from harvest by not estimating C retention in harvested wood products and land lls [30,31,34].…”
Section: Model Inputsmentioning
confidence: 99%
“…It is not valid for the revegetated sites, since they were not subject to this regime. Alternative procedures used in similar situations such as regeneration of forest on abandoned agricultural land derive these values from agricultural soil C databases [45] or use averages for nonforest soil types [41]. It would be reasonable to assume that the tailings were C-depleted at site establishment.…”
Section: Soil and Dom C Initializationmentioning
confidence: 99%