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DocumentReview of methodology on climate change impact and vulnerability assessment for application to the forest sector in Republic of Korea: The first step for mainstreaming adaptation in forest sector
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.As the two laws, The Framework Act on Agriculture and Fisheries, Rural Community and Food Industry and The Creation and Management of Forest Resources Act, were revised in 2015 and 2019, respectively, the Korean government made it mandatory for Korea Forest Service to report the results of climate change impact and vulnerability assessment on forest sector. For implementing the above duty, the National Institute of Forest Science (NIFoS) has categorized the forest sector to eighteen detailed sectors and established monitoring framework to assess the climate change impacts since 2015.
This study aims to develop appropriate methodology and framework for assessment of climate change impact and vulnerability on forest sector in Korea by reviewing what the NIFoS has conducted in comparison with the previous cases in the USA, Canada and the UK. To achieve this, this study first clarifies the ultimate goals of assessment and categorizes assessment areas for each detailed sector. Then, by reviewing the major factors on vulnerability assessment used in the Adaptation Partners Frameworks (USA), the Climate Change Response Framework (USA), the Canadian Council of Forest Ministers Framework (Canada), and the Climate Change Risk Assessment (UK), this study draws the possible stepwise check list with the hope of producing appropriate results on climate change impact and vulnerability which can be utilized in the stage of mainstreaming adaptation in forest sector. The tentative framework drawn from this study contains the considerations about where we need to go and how to go for achieving adaptation.
This study is expected to contribute to establish the essential basis for supporting decision making for finding actual tools to conserve and enhance forest ecosystem services and sustain life of human being under climate change pressure. Keywords: Climate change, Adaptive and integrated management, Monitoring and data collection, Policies, Sustainable forest management ID: 3621974 -
ArticleTowards predicting the potential distribution areas of phacochoerus Africanus (gmelin 1788) and potamochoerus porcus (linnaeus 1758) in Benin using specific model algorithms
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.The mistake is to think that reducing losses in tropical ecosystems is enough to control generally irreversible global change. Suids are found in biodiversity hotspots in Benin, providing enormous ecosystem services that help mitigate the impacts of climate change-related disturbances. This work rightly contributes to the assessment of the effects of climate variability on the future distribution of the Red river hog and the Common warthog in Benin. Following the occurrences collected on the GBIF platform, previous work and those collected in the field, non-climatic and climatic environmental data likely to influence their presence were used while reducing sampling errors. ArcGis software was used through the SDM Tools extension to prepare the data. Modelling was carried out using R software. The AUC, TSS, COR and deviance metrics were considered for the selection of the best model through the present and future RCP 8.5 scenarios by using the GLM, Random Forest and Maxent algorithms. For all species, the AUC and TSS of the Random Forest algorithm gave the highest values. With a quasi-regression of these favourable areas in the north and centre, the Common warthog remains more subject to the effects of climatic variability in Benin than the Red river hog. It is important to better orientate awareness-raising approaches, to carry out educational training on the mitigation of the effects of climate change while ensuring the provision of income generating/benefit activities that respect the environment. The creation of a database on the degree of threat specific to these suids and the updating of data on the status of their preferred areas in Benin is necessary. Keywords: Biodiversity conservation, Climate change, Adaptive and integrated management, Sustainable forest management, Research. ID: 3622243 -
ArticleYield prediction model for falcata (paraserianthes falcataria (L.) Nielsen) in falcata-based agroforestry systems in Misamis Oriental, Philippines
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Sustainable adaption of Falcata-based agroforestry systems and improve tree component productivity in Misamis Oriental necessitates derivation of quantitative information on yield. The project was conducted to determine the yield of Falcata planted in agroforestry systems considering various stand characteristics, physiographic characteristics, cultural practice, and pest incidence. A total of 360 rectangular temporary sample plots (1000 m2 or 20 m x 50 m) across 3 cities and 15 municipalities were established. Diagnostic tests, correlation analysis, and multiple regression analysis were used to develop the Falcata yield, prediction model. The result showed that the yield of Falcata under woodlot, boundary planting, alley cropping, multistorey, intercropping, and taungya agroforestry systems can be explained by age, merchantable height, site index, and spacing. The final yield model for Falcata is sqrtVolume (m3) = 0.1841444 - 10.42376*1/SI + 0.0029367*SP + 0.0842593*A + 0.0473169*MH. The newly developed model will serve as a guide in decision-making as to the right time to harvest, appropriate density, a suitable site for the establishment, and the right merchantable height for greater productivity. Keywords: Falcata, agroforestry, yield, volume, model ID: 3623089
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