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Title:

Assessment of Fast-growing Tree Plantation Using the Analytic Hierarchy Process -AHP Methodology (Case Study Situation in Latvia)

Author(s):

Makovskis, K., Popluga, D., Colmorgen, F., Gerdes, H., Lazdina, D.

Document(s):

Paper Paper

Abstract:

In the new Biodiversity Strategy 2030, the European Commission recognized sustainable bioenergy as an important tool to combat climate change and identified it as a priority alongside wind and solar energy. The BE-Rural project, funded by the EU’s Horizon2020 program, supports the establishment of regional and local bio-based economies by involving relevant actors in the development of bioeconomy strategies and roadmaps. A case study in the Latvian OIP region investigates the bioenergy potential of fast-growing tree plantations in the overall framework of identifying and assessing their bioeconomy potential to formulate sustainable and targeted bioeconomy strategies and roadmaps. According to expert opinions, economic factors are the most important ones to consider when opting for a fast-growing tree plantation (0.52), followed by technological (0.18), environmental (0.15) and social (0.15) factors. For each of four factors 4 criteria were selected and described, in total 16 criteria were used to assess plantation types. The final results show that according to expert assessments, the best management scenario of fast tree plantations in Latvia includes intensively managed willow plantations (0.24), followed by hybrid aspen plantations managed as forest (0.21), hybrid aspen plantations managed as forest plantations (0.20), hybrid aspen in agroforestry systems (0.19) and widely managed willow plantations (0.16).

Keywords:

agroforestry, plantings of trees, plantings of willows, plantations of aspen hybrids, wood plants

Topic:

Sustainable Resources for Decarbonising the Economy

Subtopic:

Biomass Potentials and Biomass Production Models

Event:

29th European Biomass Conference and Exhibition

Session:

1CV.8.22

Pages:

288 - 290

ISBN:

978-88-89407-21-9

Paper DOI:

10.5071/29thEUBCE2021-1CV.8.22

Price:

FREE