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Brochure, flyer, fact-sheetStrategic Framework for Forests and Climate Change: A Proposal by the Collaborative Partnership on Forests for a coordinated forest-sector response to Climate Change. Summary 2009
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No results found.The CPF Strategic Framework for Forest and Climate Change document is intended as a resource for policymakers on climate change and forests. It puts forward a case for the strategic role of sustainable forest management (SFM) in achieving long-term climate change mitigation and as a robust and flexible framework for effective adaptation to climate change. It presents what is intended to be a living concept of cooperation that will be enriched over time. It should help pave the road to the pivota l 15th Conference of the Parties to the United Nations Framework Convention on Climate Change and to the 8th session of the United Nations Forum on Forests. -
DocumentForests and climate change - instruments related to the United Nations Framework Convention on Climate Change and their potential for sustainable forest management in Africa 2003
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No results found.Forests play major roles in climate change. They contribute carbon emissions when destroyed or degraded and they suffer from changing climate, drought and extreme weather. Managed sustainably, they can provide a unique environmental service by removing excess carbon from the atmosphere, storing it in biomass, soils and products. In addition, sustainably produced wood fuels offer an environmentally benign alternative to fossil fuels. During the 7th Session of the Conference of the Parties to the UN Framework Convention on Climate Change in Marrakech, Morocco, in 2001, governments agreed on the final framework for implementing the Kyoto Protocol, which obligates industrialized countries to reduce their net greenhouse gas contribution by country-specific, fixed amounts. -
ArticleThe change in forest productivity and stand-dynamics under climate change in East Asian temperate forests: A case study from South Korean forests
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The velocity and impact of climate change on forest appear to be site, environment, and tree species-specific.The primary objective of this research is to assess the changes in productivity of major temperate tree species in South Korea using terrestrial inventory and satellite remote sensing data. The area covered by each tree species was further categorized into either lowland forest (LLF) or high mountain forest (HMF) and investigated. We used the repeated Korean national forest inventory (NFI) data to calculate a stand-level annual increment (SAI). We then compared the SAI, a ground-based productivity measure, to MODIS net primary productivity (NPP) as a measure of productivity based on satellite imagery. In addition, the growth index of each increment core, which eliminated the effect of tree age on radial growth, was derived as an indicator of the variation of productivity by tree species over the past four decades. Based on these steps, we understand the species- and elevation-dependent dynamics. The secondary objective is to predict the forest dynamics under climate change using the Perfect Plasticity Approximation with Simple Biogeochemistry (PPA- SiBGC) model. The PPA-SiBGC is an analytically tractable model of forest dynamics, defined in terms of parameters for individual trees, including allometry, growth, and mortality. We estimated these parameters for the major species by using NFI and increment core data. We predicted forest dynamics using the following time-series metrics: Net ecosystem exchange, aboveground biomass, belowground biomass, C, soil respiration, and relative abundance. We then focus on comparing the impact of climate change on LLF and HMF. The results of our study can be used to develop climate-smart forest management strategies to ensure that both LLF and HMF continue to be resilient and continue to provide a wide range of ecosystem services in the Eastern Asian region. Keywords: mountain forests, lowland forests, increment core, national forest inventory, MODIS NPP ID: 3486900
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