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Using tree clustering method for forestry arrangement planning

XV World Forestry Congress, 2-6 May 2022











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    Increasing land cover by promoting agroforestry-based tree planting to sustain community livelihood under various social forestry schemes in Indonesia
    XV World Forestry Congress, 2-6 May 2022
    2022
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    The high challenges and expectations in the management of Indonesian Tropical Forests to achieve the community welfare, forest sustainability and sustainable development goals, demands proper management in optimizing the use of forest resources to meet the high dependence of community needs on the forest. The pressure on forests is reflected in the deforestation that occurs as an indication of the various dependencies of the community on forests to meet their daily needs. In this regard, Agroforestry is a potential silvicultural recipe as a solution to restore degraded land and forest that can gain balance ecological, economic and social benefits. This paper aims to provide information on plant growth performance and survival rate in the establishment of agroforestry plot for a total 34 hectares in three schemes of Social Forestry in Indonesia, namely Paru Village Forest (VF)–West Sumatra, Cempaka Forestry Partnership (FP)–Lampung, Tuar Tana Community Forestry (CF)– East Nusa Tenggara, in collaboration between Forestry and Environment Research, Development and Innovation Agency with the Asian Forest Cooperation Organization (AFoCO). It was conducted by planting 26 plant sp Intensive Artificial Regeneration with planting distance of 8x8 m and 5x5 m depend on plant species. The collected data covered for survival rate and height measurement. Growth Percentage was observed at ages 1, 6, 12 and 18 months after plan participation which looks high in maintaining their crops while survival rate in Tuar Tana CF was low enough only 43,2% due to the drough in this semi-arid region which affect the plant growth, eventhough the farmers have high effort in maintaining their crops. Keywords: Mixed Tree planting, Reforestation, Community Forestry, Village Forest, Forestry Partnership ID: 3486429
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    Network and knowledge transmission for climate change on a non-timber forestry product in an era of depopulation, shiitake produced in sawtooth oak trees at Kunisaki GIAHS site
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Climate change is disturbing forests and other ecosystems at a global scale. It could affect how foresters, forest owners, and other related actors manage the forests and conduct their daily lives. This also applies to the producers and strategies of collectors of non-timber forestry products (NTFPs). This study examines, “How climate change affects NTFP producers and strategies of collectors? How resilient are their mitigation and adaption measures for forests and forest communities?” The shiitake, Lentinula edodes, produced in lower temperature are more valuable in market price but are facing challenges. We interviewed veteran producers of shiitake mushroom in Kunisaki City, Oita Prefecture, Japan for the period of June to September 2020. They produce shiitake in the forests of sawtooth oak trees, Quercus acutissima, in a site of Globally Important Agricultural Heritage Systems (GIAHS). In this GIAHS site, the forests retain water and provide water for the irrigation pond system. Shiitake producers underpin this GIAHS system through participating in forest management and food supply. They cut the trees of about 15 years old and utilize the logs for shiitake production inside the forests. The branches of the cut trees are put to cover and humidify the logs until the fungus of shiitake spreads inside the logs. As shiitake production sustains the livelihoods of the producers in the depopulated society, the production maintains the forests for the centuries. The producers are adapting to the heats and frequent typhoons by countermeasures; for example, with the temperature increased, a producer wonders how much they keep producing shiitake which sprouts at low temperature. They also sprinkle more water to cool the inoculated logs. This study explores how traditional knowledge is changing or adapting to climate change and how they are transmitted. Keywords: Adaptive and integrated management, Climate change, Economic Development, Food systems, Knowledge management ID: 3486707
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    Satellite remote sensing-based forest resources assessment methods for effective management and sustainable development of forests by generation of information on forests and trees outside forest cover
    XV World Forestry Congress, 2-6 May 2022
    2022
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    Satellite based remote sensing methods have proved to be an effective and scientifically proven method for managing and conserving forest data and resources at periodic time intervals. The forest resources monitoring methods provide useful data to forest managers for sustainable forest management at different scale and forest management units. Over the years the scientific management of forest have been a subject globally discussed incorporating the role of environmentalist, conservationist and communities associated with the forest. It has been an unhidden fact that forests have suffered tremendous pressure in developing countries on the pretext of development. It is through effective monitoring and communication of forest information and knowledge that the concerned provincial governments are forced to take remedial measures for protecting the forests. Apart from the government owned forests, termed as Recorded Forest Areas(RFA) in India, Trees outside forests(TOF) are well acknowledged as an important component of forest resources. The ToF, which basically exist as block, linear and scattered plantations on earth are captured using LISS-III sensor of Indian Remote Sensing Satellite. For the national level scale mapping, all patches of area 1hectare and above are considered for estimation. For mapping of ToF patches of size between 0.1-1hectare, high resolution data from LISSIV sensor(5.8metres resolution) is analyzed. It has been now a well-established fact that trees outside RFAs, although in small proportion, contribute significantly to forest conservation and meeting the demand of people towards minor forest produce, firewood etc. The exercise on forest change detection using a hybrid method, is effective in identification of significant forest change. The assessment of forests and ToFs using satellite data and advance image processing tools may be helpful in effective management and long term sustainability of forests in developing countries. Keywords: [Recorded Forest Area, Trees Outside Forest, National Forest Inventory, FSI, Neural Network, Machine Learning] ID: 3622277

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