2020
DOI: 10.15544/rd.2019.065
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Verification of Applicability of Forest Growth Model Agm in Elaboration of Forestry Projections for National Forest Reference Level

Abstract: Latvia's forest reference level (FRL) should take in account the future impact of dynamic age-related forest characteristics in order to avoid unduly constraining the forest management intensity as a core element of sustainable forest management practice, with t he aim of maintaining or strengthening long-term carbon sinks. The basic for calculations of GHG (greenhouse gas) projections is AGM (Forest growth model) and EPIM (Emissions Projections and Inventory Model). The scope of the study is to verify applica… Show more

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Cited by 7 publications
(7 citation statements)
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“…Forest resources in Latvia in the study are evaluated according to activity data and assumptions used in development of forest reference level; particularly, management assumptions (harvest intensity by species, forest regeneration and thinning probabilities) and forest area according to the reference period (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009) and projections of forest growth and utilization rate in 2010-2020 according to assumptions on forest management intensities as set in the forest reference level calculations. Actual "business as usual" scenario is used to estimate forest growth between 2010 and 2018, as well as for the projections of forest growth in 2019-2020 (Lazdiņš et al, 2019;Šņepsts et al, 2018). Data from National GHG inventory are used in calculations of forest growth, harvests and production of HWP (Ministry of Environmental Protection and Regional Development, 2021a).…”
Section: Methodsmentioning
confidence: 99%
“…Forest resources in Latvia in the study are evaluated according to activity data and assumptions used in development of forest reference level; particularly, management assumptions (harvest intensity by species, forest regeneration and thinning probabilities) and forest area according to the reference period (2000)(2001)(2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009) and projections of forest growth and utilization rate in 2010-2020 according to assumptions on forest management intensities as set in the forest reference level calculations. Actual "business as usual" scenario is used to estimate forest growth between 2010 and 2018, as well as for the projections of forest growth in 2019-2020 (Lazdiņš et al, 2019;Šņepsts et al, 2018). Data from National GHG inventory are used in calculations of forest growth, harvests and production of HWP (Ministry of Environmental Protection and Regional Development, 2021a).…”
Section: Methodsmentioning
confidence: 99%
“…Assumptions on forest growth in the study are elaborated using the AGM model [9]. These assumptions are optimized for the highest economic value of forest in the given conditions.…”
Section: Methodsmentioning
confidence: 99%
“…The increase in forest area is expected to continue as a result of purposeful afforestation, as well as through the continued natural growth of forests on abandoned agricultural and non-agricultural lands. Additionally, forest biomass is increasing due to sustainable forest management in recent decades (Lazdiņš et al 2019). In 2015, for example, the gross annual increase in biomass was 16.9 million m 3 , while 10.6 million m 3 was harvested (see Appendix B for details).…”
Section: The Forest-based Bioeconomy In Latviamentioning
confidence: 99%
“…The ability of these forests to sequester carbon is lower than that of young and premature forests (Latvian State Forest Research Institute Silava, 2017), where young forests sequester less than premature forests. The afforestation implemented over previous decades is expected to sequester increasing CO 2 emissions after 2030 (Lazdiņš et al, 2019). Old-growth forests serve especially the EU Biodiversity strategy 2030 goals.…”
Section: The Forest-based Bioeconomy In Latviamentioning
confidence: 99%