Mapping Carbon Stock Using Geospatial Data In Tropical Forest Of Nepal
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Mapping Carbon Stock Using Geospatial Data in Tropical Forest of Nepal
Author: Mbaabu Purity
language: en
Publisher: LAP Lambert Academic Publishing
Release Date: 2015-01-26
Forests reduce impacts of climate change by sequestering CO2 from the atmosphere and storing carbon in their different parts which include above ground biomass, belowground biomass, forest understory and soil. This storage depends on forest ecosystem management, disturbances and climate variation among others. The impact of forest management activities on the ability of forests to sequester and store atmospheric carbon is of increasing scientific concern. A quantitative understanding of how forest management enhances carbon storage is lacking for most forest types because few studies have been conducted. Therefore, this study estimated and compared the above ground biomass (AGB)/carbon stock of two forest types under different forest management regimes. Very high resolution Geoeye satellite images and airborne LiDAR data were used for this study. Total AGB was estimated by allometric equation using DBH and tree height measured in the field. The average carbon stock was found to be 244 t C/ha and 140 t C/ha for community and government forest respectively. Based on the findings, the conclusion is that forest management significantly affects the carbon stock of a forest.
18th IMT-GT International Conference on Mathematics, Statistics and their Applications
The 18th ICMSA 2023 emphasized the critical role of statistical science in advancing the Sustainable Development Goals (SDGs). The conference highlighted how data science and statistical methods are essential for solving real-world problems and achieving sustainable development. The event aimed to enhance the research output of Universitas Syiah Kuala, foster a collaborative research environment, and facilitate scientific exchange with international scholars. By focusing on statistics, the conference sought to enhance the university's global reputation and contribute to government efforts to address health, environmental, and economic challenges through data-driven insights. ICMSA 2023 set a high standard for subsequent conferences, with a commitment to refining its structure and expanding its reach. The statistics-focused sessions attracted a large number of submissions, reflecting the dynamic nature of the statistics community. Following a thorough peer review process, 22 papers were selected for inclusion in the Book of Applied Statistics, ensuring that the conference's critical statistical research contributions were effectively captured and shared. Conference date, place 10 - 11 April 2023, Universitas Syiah Kuala, Banda Aceh, Aceh, Indonesia Conference Organizer ICMSA 2023, Statistics Department, Universitas Syiah Kuala Editor-in-Chief Latifah Rahayu Siregar, S.Si., M.Sc, Universitas Syiah Kuala, Indonesia Managing Editor Ridha Ferdhiana, S.Si., M.Sc, Universitas Syiah Kuala, Indonesia Editorial Advisory Board Prof. Dr. Ir. Marwan, Universitas Syiah Kuala, Indonesia Prof. Dr. Ir. Agussabti, M.Si., IPU., Universitas Syiah Kuala, Indonesia Dr. Ir. Taufiq S., M.Eng., IPU, Universitas Syiah Kuala, Indonesia Prof. Dr. Taufik Fuadi Abidin, S.Si., M.Tech, Universitas Syiah Kuala, Indonesia Prof. Dr. Hizir, Universitas Syiah Kuala, Indonesia Prof. Dr. Teuku Mohamad Iqbalsyah, S.Si., M.Sc, Universitas Syiah Kuala, Indonesia Yudhie Andriyana, M.Sc., PhD, FORSTAT, Indonesia Dr. Nizamuddin, M.Info.Sc, Universitas Syiah Kuala, Indonesia Dr. Nasrullah, S.Si., M.Si., M.Sc, Universitas Syiah Kuala, Indonesia Nazaruddin, S.Si., M.Eng.Sc, Universitas Syiah Kuala, Indonesia Dr. Zurnila Marli Kesuma, S.Si., M. Si, Universitas Syiah Kuala, Indonesia Prof. Dr. Herman Mawengkang, Universitas Sumatera Utara, Indonesia Editors Dr. Selvi Mardalena, S.Stat., Universitas Syiah Kuala, Indonesia Dr. Rumaisa Kruba, S.Si, Universitas Syiah Kuala, Indonesia Dr. Rahma Zuhra, Universitas Syiah Kuala, Indonesia Dr. Muhammad Subianto, M. Si, Universitas Syiah Kuala, Indonesia Dr. Saiful Mahdi, M. Sc, Universitas Syiah Kuala, Indonesia Rini Oktavia, S.Si., M.Si., Ph.D, Universitas Syiah Kuala, Indonesia Vera Halfiani, S. Si, M. Mat, Universitas Syiah Kuala, Indonesia Language Editors Fitriana AR, Universitas Syiah Kuala, Indonesia Technical Editors Novi Reandy Sasmita, S.Si., M.Sc, Universitas Syiah Kuala, Indonesia ABSTRACTING & INDEXING Baidu Scholar Bayerische Staatsbibliothek BDS BoD Bowker Book Data Ciando CNKI Scholar (China National Knowledge Infrastructure) Dimensions EBSCO ExLibris Google Books Google Scholar Naviga ReadCube Semantic Scholar TDOne (TDNet) WorldCat (OCLC) X-MOL
Handbook of Research on the Conservation and Restoration of Tropical Dry Forests
Tropical dry forests are the most exploited and endangered ecosystems in the world. A combination of climatic and human factors often reduce these forests to patches of dry scrubs or savannas. Because these ecosystems experience a more arduous and less anticipated environment, they are more prone to environmental stress as plant communities are developed. Therefore, urgent research is necessary to understand both the detrimental issues and problem-solving approaches to conserving these important forests. The Handbook of Research on the Conservation and Restoration of Tropical Dry Forests is a pivotal reference source that combines theory and practice on the current trends and issues in this important ecological subject and discusses future challenges towards conservation strategies of these tropical dry forests. While highlighting topics such as forest management, natural regeneration, and silviculture, this publication examines the anthropogenic impacts on tropical dry forests and the necessity to rebuild their ecosystems. This book is ideally designed for state forest agency professionals, resource managers, non-governmental organization agents, ecologists, botanists, environmentalists, students, and researchers seeking current research on the threats to these forests.