2014
DOI: 10.2737/nrs-gtr-127
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Past and prospective carbon stocks in forests of northern Wisconsin: a report from the Chequamegon-Nicolet National Forest Climate Change Response Framework

Abstract: This report assesses past and prospective carbon stocks for 4.5 million ha of forest land in northern Wisconsin, including a baseline assessment and analysis of the impacts of disturbance and management on carbon stocks. Carbon density (amount of carbon stock per unit area) averages 237 megagrams (Mg) per ha, with the National Forest lands having slightly higher carbon density than other ownership classes. Over the last decade, carbon stocks of northern Wisconsin forests have been increasing by about one terag… Show more

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Cited by 2 publications
(4 citation statements)
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References 70 publications
(101 reference statements)
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“…Two sites (NE4 and SW2) contain stands that fall within the old growth successional stage, characterized in the temperate Lake States (Minnesota, Wisconsin, and Michigan) by the presence of long‐lived tree species that are at or greater than 120 years of age and exist in an advanced stage of structural development (Frelich, 1995). Forest Inventory Analysis data show that the oldest forests sampled in the temperate Lake States region are between 200 and 210 years old (Birdsey et al., 2014).…”
Section: Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…Two sites (NE4 and SW2) contain stands that fall within the old growth successional stage, characterized in the temperate Lake States (Minnesota, Wisconsin, and Michigan) by the presence of long‐lived tree species that are at or greater than 120 years of age and exist in an advanced stage of structural development (Frelich, 1995). Forest Inventory Analysis data show that the oldest forests sampled in the temperate Lake States region are between 200 and 210 years old (Birdsey et al., 2014).…”
Section: Methodsmentioning
confidence: 99%
“…Heterogeneity is further accentuated by a long history of nonuniform forest management practices including thinning and clearcuts, resulting in increased variability in stand age and structure. Forests in Northern Wisconsin typically have an age distribution centered around “middle age,” or 40–90 years (Birdsey et al., 2014; Wisconsin Department of Natural Resources, 2019). This age pattern is reflective of the fact that the majority of the forested land was logged in the mid‐19th to early 20th century to clear land for agricultural purposes (Desai et al., 2008; Gough et al., 2007; Rhemtulla et al., 2009), which was followed by subsequent periods of agricultural land abandonment, reforestation, fire suppression, and intensive timber harvest (Birdsey et al., 2006).…”
Section: Methodsmentioning
confidence: 99%
“…Heterogeneity is further accentuated by a long history of non-uniform forest management practices including thinning and clear-cuts, resulting in increased variability in stand age and structure. Forests in Northern Wisconsin typically have an age distribution centered around 'middle age', or 40 -90 years (Birdsey et al, 2014, Wisconsin Department of Natural Resources, 2019. This age pattern is reflective of the fact that the majority of the forested land was logged in the midˉ19 th to early 20 th century to clear land for agricultural purposes (Desai et al, 2007, Gough et al, 2007, Rhemtulla et al, 2009, which was followed by subsequent periods of agricultural land abandonment, reforestation, fire suppression, and intensive timber harvest (Birdsey et al, 2006).…”
Section: Site Description Manuscript Submitted To Journal Of Geophysi...mentioning
confidence: 99%
“…Two sites (NE4 and SW2) contain stands that fall within the old growth successional stage, characterized in the temperate Lake States (Minnesota, Wisconsin, and Michigan) by the presence of long-lived tree species that are at or greater than 120 years of age and exist in an advanced stage of structural development (Frelich, 1995). Forest Inventory Analysis data shows that the oldest forests sampled in the temperate Lake States region are between 200 -210 years old (Birdsey et al, 2014).…”
Section: Drone-based Lidarmentioning
confidence: 99%