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Apmācību seminārs Igaunijā: PPC modeļa pieeja klimata pārmaiņu samazināšānā

Datums: 08.04.2024.

Vieta: Tiešsaistē, TEAMS

Darba kārtība: ŠEIT.

Prezentācijas (angļu valodā):

  1. Par pētījumu projektu LIFE OrgBalt, Ieva Līcīte, LIFE OrgBalt vadītāja, Latvijas Valsts mežzinātnes institūts “Silava”
  2. Klimata pārmaiņu samazināšanas izmaksu un ieguvumu ekonomiskā analīze – PPC modeļa pieeja, Imants Krūze, Biedrība Baltijas Krasti
The project “Demonstration of climate change mitigation potential of nutrients rich organic soils in Baltic States and Finland” (LIFE OrgBalt, LIFE18 CCM/LV/001158) has received funding from the LIFE Programme of the European Union and the State Regional Development Agency of Latvia. www.orgbalt.eu. The information reflects only the LIFE OrgBalt project beneficiaries’ view and the European Climate, Infrastructure and Environment Executive Agency is not responsible for any use that may be made of the information contained therein.
LIFE OrgBalt compiled the first regional Baltic/Finnish GHG emission factors for managed nutrient-rich organic soils (current and former peatlands), which have been made available for the customary scientific review and further verification for national GHG inventories in the hemiboreal region in Finland and the Baltic countries. While the project analysed selected CCM measures for drained organic soils in agriculture and forestry and developed spatial models and tools, it also identified remaining knowledge gaps. To bridge the remaining limitations and fill the gaps, it is essential to continue GHG measurements and model development, as well as to broaden and complete the scope of the evaluated CCM measures in the after-LIFE-project period, notably by including rewetting and restoration of peatlands that are currently considered to be among the most recommended CCM measures on drained peatlands in the EU. In addition, the developed Simulation and PPC models still include limited macroeconomic considerations and lack an assessment of all environmental impacts. For all these reasons, these models should be used carefully in CCM strategy development for the identification of gaps in climate neutrality transition policy and funding frameworks and need further optimization for broader applicability as decision-making tools.
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