从过去吸取的经验教训:意大利南部有效碳储存的林业举措

F. Iovino, A. Nicolaci, P. A. Marziliano, F. Pignataro, G. Sanesi
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引用次数: 0

摘要

从森林管理的角度来看,卡拉布里亚(意大利)是地中海盆地一个特别有趣的地区,因为旨在土壤保护的重新造林活动有所扩大。根据国际协议,这些重新造林活动还具有其他功能,包括碳储存。因此,卡拉布里亚被选为对不同类型的人工林进行研究的代表地区,以验证这些功能的影响。结果显示,与以前的土地使用(即耕地和牧场)相比,碳储量显著增加,以及每公顷的平均碳储量与地上和地下所考虑的物种之间的差异。针叶树(卡拉布里亚松、花旗松)的碳储量较高,阔叶树(土耳其橡树、欧洲栗树)的碳含量较低。研究分析表明,根据不同的疏伐强度,树木消除的碳是如何随着时间的推移而重新形成的,其数量大于砍伐消除的碳。后一个方面是相关的,因为森林管理允许部分清除产生的生物量,而不会对碳储量产生负面影响。因此,重新造林和可持续形式的森林管理是减轻气候变化影响的有力战略。
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Lessons learned from the past: forestry initiatives for effective carbon stocking in Southern Italy
Calabria (Italy) is a particularly interesting region of the Mediterranean basin from the perspective of forest management due to the extension of reforestation activities aimed at soil conservation. According to international agreements, these reforestation activities fulfill other functions as well, including carbon storage. Thus, Calabria was selected as a representative area for a study on the different typologies of forest plantations to verify the effects of these functions. Results showed a significant increment in carbon stock compared to the previous land use (i.e. arable land and pastures) and how the average carbon stock per hectare varies in relation to the species considered at the above- and below-ground levels. Carbon stock was higher in conifers (Calabrian pine, Douglas fir) and lower in broad-leaved trees (Turkey oak, European chestnut). The study analyses demonstrate how, based on different intensities of thinning, the carbon eliminated by trees is reconstituted over time in quantities larger than those eliminated by cutting. This latter aspect is relevant, as forest management allows the partial removal of biomass produced without negatively affecting carbon stock. Consequently, reforestation and sustainable forms of forest management are powerful strategies for mitigating the effects of climate change.
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来源期刊
Annals of Silvicultural Research
Annals of Silvicultural Research Agricultural and Biological Sciences-Forestry
CiteScore
2.70
自引率
0.00%
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0
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