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ArticleAssessment of tropical forest structure, ecological networks, and species extinction in Nigeria lowland forest and Cameroun coastal lowland forest
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.Tropical forest structure is a significant defining component of the forest, the complex interaction within the components supports a substantial population of flora and fauna besides storing more than half of the terrestrial aboveground biomass. Furthermore, the plants and animal species habiting the tropical forest make up one-third of the world`s biodiversity which also functions as a buffer in shielding humans from zoonotic diseases such as COVID-19. The research was carried out in the Cross River-Korup Taka Manda (CRIKOT) National Park and Omo-Sasha-Oluwa Forest Complex ecoregion which covers southern Nigeria, and southwestern Cameroon. The study estimated carbon stock estimates from 3 -meter quad polarized ALOS 2 PALSAR 2 data, validated the estimates with field measurements and biophysical metrics derived from the Global Ecosystem Dynamics Investigation (GEDI) L2B lidar waveform. This is in addition to the investigation of ecological networks with canopy height metrics, canopy cover metrics Plant Area Diversity (PAD), and Plant Area Index (PAI). The study discovered a mean carbon stock estimate of 136 tonnes /ha-1 from field measurements and a range of 1. 5 to 132 tonnes / ha-1 from SAR. The biophysical metrics from GEDI L2B lidar waveform (Canopy Cover, PAD, PAI, and Canopy Height) describe dense structures with a high level of biodiversity and productivity. These findings could aid in the monitoring of forest productivity and policy goals, as well as considerably improve the depiction of plant canopies in dynamic vegetation and land surface models, allowing us to better understand the carbon cycle and ecological systems. Keywords: Tropical Forest structure, Climate change, Biodiversity conservation, Deforestation and forest degradation, Zoonotic disease, Human health, and well-being. ID: 3476824 -
ArticleSatellite 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
2022Also available in:
No results found.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 -
ArticleVulnerability assessment of Ukrainian forests to climate change as the base of nature-based solutions for mitigation and adaptation
XV World Forestry Congress, 2-6 May 2022
2022Also available in:
No results found.A wide range of climatic conditions in Ukraine causes significant regional differences in the vulnerability of forests to climate change. The mitigation/adaptation strategy should be based on assessments of their vulnerability at the regional level. Phytoindication model by prof. Y.P. Didukh (1994) was used to assess forest vulnerability. The model gives a quantitative estimation of climate as one of major environmental factors affecting the distribution, condition and productivity of vegetation on the base of climate-related indicators – continentality, humidity and frost. For these indicators climate suitability scales were calculated. Modeling was carried out for main forest species: Pinus sylvestris L., Quercus robur L., Fagus sylvatica L., Picea abies (L.) H.Karst, Betula pendula Roth., Alnus glutinosa (L.) Gaertn. and Robinia pseudoacacia L. Climate projections based on the Euro CORDEX time series (up to 2100) and 2 scenarios of the Representative Concentration Pathways (RCP 4.5, RCP 8.5) were used. By means of Q-GIS the maps containing zones of suitability to climate for each of studied species were created for current climate conditions and future time series. The directions for strengthening the mitigation and adaptive capacity of forests are considered. The mainstream for nature-based solutions is adaptive sustainable forest management, which provides: 1)optimization of land use structure and increasing the forested area; 2) development and implementation of a national forestry program considering the priorities of climate change and low-carbon development; 3) using wood to substitute greenhouse gas intensive-materials and fossil fuels; 4) best forestry practices through the introduction of modern Climate Smart Forestry principles. Keywords: RCP 4.5, RCP 8.5, Euro CORDEX, climate trends, adaptive forest management ID: 3487120
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