2010
DOI: 10.1007/s11769-010-0436-y
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Tree planting: How fast can it accelerate post-fire forest restoration? — A case study in Northern Da Hinggan Mountains, China

Abstract: In 1987, a catastrophic fire burned over 1 330 000 ha in the densely forested area of the Da Hinggan Mountains in the northeastern China. After the fire, intensive management including burned trunk harvesting and coniferous tree planting had been conducted to accelerate forest restoration. To study the long term effect of these activities on forest recovery, we used a simulation modeling approach to study long-term (300 years) forest dynamics under current planting and natural regeneration scenarios. Results i… Show more

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Cited by 3 publications
(3 citation statements)
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“…Mongolia and Korean Spruce (Picea koraiensis). Therefore, the severely burned area exhibited a better recovery trend than the lightly burned regions, similar to the results of Li et al (2010). By 1997, approximately 50% of the severely burned area had been reforested, mostly in high accessibility areas and locations with good site conditions.…”
Section: Spatial Pattern and Trend Analysis Of Post-fire Stands Regrosupporting
confidence: 77%
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“…Mongolia and Korean Spruce (Picea koraiensis). Therefore, the severely burned area exhibited a better recovery trend than the lightly burned regions, similar to the results of Li et al (2010). By 1997, approximately 50% of the severely burned area had been reforested, mostly in high accessibility areas and locations with good site conditions.…”
Section: Spatial Pattern and Trend Analysis Of Post-fire Stands Regrosupporting
confidence: 77%
“…However, there was a more robust annual increase between years 10 and 19 in the subsequent period. This change in the rate was due to intensive salvage harvesting of standing dead logs in the first two years following the fire and then coniferous trees were planted to restore the timber volume of coniferous species because lumbering was the main forest industry in this region [36]. Figure 9 presents a significance image and degree of significance for the post-fire stands regrowth index (SRI) trend from the study area using the simple non-parametric Mann-Kendall test (single pixel-based analysis).…”
Section: Spatial Pattern and Trend Analysis Of Post-fire Stands Regromentioning
confidence: 99%
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