Influenza dei cambiamenti d'uso del suolo e delle strategie di gestione del bosco sull'allocazione del carbonio nel suolo negli ecosistemi forestali
In: L'Italia Forestale e Montana, S. 5-51
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In: L'Italia Forestale e Montana, S. 5-51
In: Managing forest ecosystems volume 40
Chapter 1. An Introduction to Climate-Smart Forestry in mountain regions -- Chapter 2. Defining climate-smart forestry -- Chapter 3. Assessment of indicators for climate smart management in mountain forests -- Chapter 4. National Forest Inventory data to evaluate Climate-Smart Forestry -- Chapter 5. Efficacy of trans-geographic observational network design for revelation of growth pattern in mountain forests across Europe -- Chapter 6. Changes of tree and stand growth. Review and implications -- Chapter 7. Modelling future growth of mountain forests under changing environments -- Chapter 8. Climate-smart silviculture in mountain regions -- Chapter 9. Smart harvest operations and timber processing for improved forest management -- Chapter 10. Continuous monitoring of tree responses to climate change for smart forestry – a cybernetic web of trees -- Chapter 11. Remote sensing technologies for assessing climate-smart criteria in mountain forests -- Chapter 12. Economic and social perspective of Climate-smart Forestry: incentives for behavioral change to climate-smart practices in the long-term -- Chapter 13. Assessing the economic impacts of climate change on mountain forests: a literature review -- Chapter 14. Review of policy instruments for climate-smart mountain forestry -- Chapter 15. The role of forests in climate change mitigation: the EU context -- Chapter 16. Smartforests Canada – A network of monitoring plots for forest management under environmental change -- Chapter 17. Climate-Smart Forestry in Brazil.
In: Managing Forest Ecosystems
This open access book offers a cross-sectoral reference for both managers and scientists interested in climate-smart forestry, focusing on mountain regions. It provides a comprehensive analysis on forest issues, facilitating the implementation of climate objectives. This book includes structured summaries of each chapter. Funded by the EU's Horizon 2020 programme, CLIMO has brought together scientists and experts in continental and regional focus assessments through a cross-sectoral approach, facilitating the implementation of climate objectives. CLIMO has provided scientific analysis on issues including criteria and indicators, growth dynamics, management prescriptions, long-term perspectives, monitoring technologies, economic impacts, and governance tools.
In: L'Italia Forestale e Montana, S. 395-405
In: Environmental science and pollution research: ESPR, Band 22, Heft 3, S. 2064-2075
ISSN: 1614-7499
In: Environmental science and pollution research: ESPR, Band 21, Heft 3, S. 1796-1808
ISSN: 1614-7499
In: l'italia forestale e montana, S. 273-294
In: L'Italia Forestale e Montana, S. 737-749
In: Environmental science and pollution research: ESPR, Band 25, Heft 10, S. 10058-10068
ISSN: 1614-7499
In: l'italia forestale e montana, S. 237-256
In: L'Italia Forestale e Montana, S. 331-342
In: L'Italia Forestale e Montana, S. 481-504
Recent studies show that several tree species are spreading to higher latitudes and elevations due to climate change. European beech, presently dominating from the colline to the subalpine vegetation belt, is already present in upper montane subalpine forests and has a high potential to further advance to higher elevations in European mountain forests, where the temperature is predicted to further increase in the near future. Although essential for adaptive silviculture, it remains unknown whether the upward shift of beech could be assisted when it is mixed with Norway spruce or silver fir compared with mono-specific stands, as the species interactions under such conditions are hardly known. In this study, we posed the general hypotheses that the growth depending on age of European beech in mountain forests was similar in mono-specific and mixed-species stands and remained stable over time and space in the last two centuries. The scrutiny of these hypotheses was based on increment coring of 1240 dominant beech trees in 45 plots in mono-specific stands of beech and in 46 mixed mountain forests. We found that (i) on average, mean tree diameter increased linearly with age. The age trend was linear in both forest types, but the slope of the age–growth relationship was higher in mono-specific than in mixed mountain forests. (ii) Beech growth in mono-specific stands was stronger reduced with increasing elevation than that in mixed-species stands. (iii) Beech growth in mono-specific stands was on average higher than beech growth in mixed stands. However, at elevations > 1200 m, growth of beech in mixed stands was higher than that in mono-specific stands. Differences in the growth patterns among elevation zones are less pronounced now than in the past, in both mono-specific and mixed stands. As the higher and longer persisting growth rates extend the flexibility of suitable ages or size for tree harvest and removal, the longer-lasting growth may be of special relevance for multi-aged silviculture concepts. On top of their function for structure and habitat improvement, the remaining old trees may grow more in mass and value than assumed so far. ; The authors would like to acknowledge networking support by the COST (European Cooperation in Science and Technology) Action CLIMO (Climate-Smart Forestry in Mountain Regions—CA15226) financially supported by the EU Framework Programme for Research and Innovation HORIZON 2020. This publication is part of a project that has received funding from the European Union's HORIZON 2020 research and innovation programme under the Marie Skłodowska-Curie Grant Agreement No 778322. Thanks are also due to the European Union for funding the project 'Mixed species forest management. Lowering risk, increasing resilience (REFORM)' (# 2816ERA02S under the framework of Sumforest ERA-Net). Further, we would like to thank the Bayerische Staatsforsten (BaySF) for providing the observational plots and to the Bavarian State Ministry of Food, Agriculture, and Forestry for permanent support of the Project W 07 'Long-term experimental plots for forest growth and yield research' (#7831-26625-2017). We also thank the Forest Research Institute, ERTI Sárvár, Hungary, for assistance and for providing observational plots. Furthermore, our work was partially supported by the SRDA via Project No. APVV-16-0325 and APVV-15-0265, the Ministry of Science and Higher Education of the Republic of Poland, the Project "EVA4.0" No. CZ.02.1.01/0.0/0.0/16_019/0000803 funded by OP RDE and the Project J4-1765 funded by the Slovenian Research Agency and also by the Bulgarian National Science Fund (BNSF) and the Project No. DCOST 01/3/19.10.2018.
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