Spatial Modeling in Forest Resources Management

Spatial Modeling in Forest Resources Management

Author: Pravat Kumar Shit

Publisher: Springer Nature

Published: 2020-10-08

Total Pages: 675

ISBN-13: 3030565424

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This book demonstrates the measurement, monitoring, mapping, and modeling of forest resources. It explores state-of-the-art techniques based on open-source software & R statistical programming and modeling specifically, with a focus on the recent trends in data mining/machine learning techniques and robust modeling in forest resources. Discusses major topics such as forest health assessment, estimating forest biomass & carbon stock, land use forest cover (LUFC), dynamic vegetation modeling (DVM) approaches, forest-based rural livelihood, habitat suitability analysis, biodiversity and ecology, and biodiversity, the book presents novel advances and applications of RS-GIS and R in a precise and clear manner. By offering insights into various concepts and their importance for real-world applications, it equips researchers, professionals, and policy-makers with the knowledge and skills to tackle a wide range of issues related to geographic data, including those with scientific, societal, and environmental implications.


Spatial Modelling in Forest Ecology and Management

Spatial Modelling in Forest Ecology and Management

Author: Martin Jansen

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 248

ISBN-13: 3642561551

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At the end of the 1970s, when signs of destabilization of forests became visible in Eu rope on a large scale, it soon became obvious that the syndrome called "forest de cline" was caused by a network of interrelated factors of abiotic and biotic origin. All attempts to explain the wide-spread syndrome by a single cause, and there were many of them, failed or can only be regarded as a single mosaic stone in the network of caus es behind the phenomenon. Forest ecosystems are highly complex natural or quasi natural systems, which exhibit different structures and functions and as a conse quence different resilience to internal or external stresses. Moreover, forest ecosys tems have a long history, which means that former impacts may act as predisposing factors for other stresses. The complexity and the different history of forest ecosys tems are two reasons that make it difficult to assess the actual state and future devel opment of forests. But there are two other reasons: one is the large time scale in which forests react, the other is the idiosyncrasy of the reactions on different sites. Due to the slow reaction and the regional complexity of the abiotic environment of forest ecosys tems, a profound analysis of each site and region is necessary to identify the underly ing causes and driving forces when attempting to overcome the destruction of forest ecosystems.


Spatial Modeling in GIS and R for Earth and Environmental Sciences

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Author: Hamid Reza Pourghasemi

Publisher: Elsevier

Published: 2019-01-18

Total Pages: 798

ISBN-13: 0128156953

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Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example


Forest Management and Planning

Forest Management and Planning

Author: Pete Bettinger

Publisher: Academic Press

Published: 2016-12-29

Total Pages: 363

ISBN-13: 012809706X

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Forest Management and Planning, Second Edition, addresses contemporary forest management planning issues, providing a concise, focused resource for those in forest management. The book is intermixed with chapters that concentrate on quantitative subjects, such as economics and linear programming, and qualitative chapters that provide discussions of important aspects of natural resource management, such as sustainability. Expanded coverage includes a case study of a closed canopy, uneven-aged forest, new forest plans from South America and Oceania, and a new chapter on scenario planning and climate change adaptation. Helps students and early career forest managers understand the problems facing professionals in the field today Designed to support land managers as they make complex decisions on the ecological, economic, and social impacts of forest and natural resources Presents updated, real-life examples that are illustrated both mathematically and graphically Includes a new chapter on scenario planning and climate change adaptation Incorporates the newest research and forest certification standards Offers access to a companion website with updated solutions, geographic databases, and illustrations


Spatial Modeling of Forest Landscape Change

Spatial Modeling of Forest Landscape Change

Author: David J. Mladenoff

Publisher: Cambridge University Press

Published: 1999-08-26

Total Pages: 388

ISBN-13: 9780521631228

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Key researchers present newly emerging approaches to computer simulation models of large, forest landscapes.


Mapping, Monitoring, and Modeling Land and Water Resources

Mapping, Monitoring, and Modeling Land and Water Resources

Author: Pravat Kumar Shit

Publisher: CRC Press

Published: 2021-06-28

Total Pages: 348

ISBN-13: 1000401448

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The wide range of challenges in studying Earth system dynamics due to uncertainties in climate change and complex interference from human activities is creating difficulties in managing land and water resources and ensuring their sustainable use. Mapping, Monitoring, and Modeling Land and Water Resources brings together real-world case studies accurately surveyed and assessed through spatial modeling. The book focuses on the effectiveness of combining remote sensing, geographic information systems, and R. The use of open source software for different spatial modeling cases in various fields, along with the use of remote sensing and geographic information systems, will aid researchers, students, and practitioners to understand better the phenomena and the predictions by future analyses for problem-solving and decision-making.


Forecasting Forest Futures

Forecasting Forest Futures

Author: Kim Scoullar

Publisher: Taylor & Francis

Published: 2010-09-23

Total Pages: 295

ISBN-13: 1136532145

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Modelling is an important tool for understanding the complexity of forest ecosystems and the variety of interactions of ecosystem components, processes and values. This book describes the hybrid approach to modelling forest ecosystems and their possible response to natural and management-induced disturbance. The book describes the FORECAST family of ecosystem management models at three different spatial scales (tree, stand and landscape), and compares them with alternative models at these three spatial scales. The book will help forest managers to understand what to expect from ecosystem-based forest models; serve as a tool for use in teaching about sustainability, scenario analysis and value trade-offs in natural resources management; and assist policy makers, managers and researches working in assessment of sustainable forest management and ecosystem management. Several real-life examples of using the FORECAST family of models in forest management and other applications are presented from countries including Canada, China, Spain and the USA, to illustrate the concepts described in the text. The book also demonstrates how these models can be extended for scenario and value trade-off analysis through visualization and educational or management games.