Modeling in Natural Resource Management PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Modeling in Natural Resource Management PDF full book. Access full book title Modeling in Natural Resource Management by Tanya M. Shenk. Download full books in PDF and EPUB format.
Author: Tanya M. Shenk Publisher: Shearwater Books ISBN: Category : Business & Economics Languages : en Pages : 248
Book Description
This work covers topics in natural resource modelling to explain how they can be, have been, and should be used in making decisions about the management of natural resources. It aims to give managers and students the tools they need to assess and apply models effectively.
Author: Tanya M. Shenk Publisher: Shearwater Books ISBN: Category : Business & Economics Languages : en Pages : 248
Book Description
This work covers topics in natural resource modelling to explain how they can be, have been, and should be used in making decisions about the management of natural resources. It aims to give managers and students the tools they need to assess and apply models effectively.
Author: Kaveh Sheibani Publisher: ORLAB Analytics ISBN: Category : Business & Economics Languages : en Pages : 66
Book Description
The use of operations research (OR) in natural resources management (NRM) is an evolving research field with many application areas. Decision makers in NRM are often not aware of the possibilities that OR techniques offer them to solve their daily challenges. This special issue contributes to close this gap by showing how OR can be useful in different application areas of NRM.
Author: Daniel R. Lynch Publisher: Cambridge University Press ISBN: 0521899729 Category : Business & Economics Languages : en Pages : 249
Book Description
Natural resources support all human productivity. The sustainable management of natural resources is among the preeminent problems of the current century. Sustainability and the implied professional responsibility start here. This book uses applied mathematics familiar to undergraduate engineers and scientists to examine natural resource management and its role in framing sustainability. Renewable and nonrenewable resources are covered, along with living and sterile resources. Examples and applications are drawn from petroleum, fisheries, and water resources. Each chapter contains problems illustrating the material. Simple programs in commonly available packages (Excel, MATLAB) support the text. The material is a natural prelude to more advanced study in ecology, conservation, and population dynamics, as well as engineering and science. The mathematical description is kept within what an undergraduate student in the sciences or engineering would normally be expected to master for natural systems. The purpose is to allow students to confront natural resource problems early in their preparation.
Author: Virginia H. Dale Publisher: Springer Science & Business Media ISBN: 0387215638 Category : Science Languages : en Pages : 331
Book Description
This book will serve as a readable introduction to ecological modeling for people involved in resource management and will also review models for specific applications of interest to more experienced modelers. Successful uses of ecological models as well as discussions of important issues in modeling are addressed. The authors of this volume hope to close the gap between the state of the art in ecological modeling and the state of the practice in the use of models in management decision making.
Author: Philippe J Giabbanelli Publisher: Mdpi AG ISBN: 9783036528083 Category : Technology & Engineering Languages : en Pages : 164
Book Description
Computational models provide intelligent environmental decision support systems to understand how human decisions are shaped by, and contribute to changes in, the environment. These models provide essential tools to tackle the important issues raised by climate change, including migrations and conflicts due to resource scarcity (e.g., water resources), while accounting for the necessity of co-managing ecosystems across a population of stakeholders with diverse goals. Such socio-environmental systems are characterized by their complexity, which is reflected by an abundance of open questions. This book explores several of these open questions, based on the contributions from over 50 authors. The book starts with a review of quantitative methods to model human responses to changes in water resources availability. Water resources are then examined comprehensively from a data science lens, focusing on the creation of an ambitious interdisciplinary platform to facilitate data collection and analysis across hundreds of variables. The feasibility of using novel data sources to create detailed models of socio-environmental systems is further exemplified via a study integrating real-time sensor data into an agent-based model, thus illustrating the two growing research themes of Internet of Things (IoT) and smart cities. As the development of a smart city represents only one of several possible futures, we complement this study with a scenario focused on urban shrinkage, thus illustrating the flexibility of agent-based models at representing different dynamic phenomena in the context of socio-environmental systems. To stress the importance of engaging local stakeholders in managing these systems, we also show how human factors can be included in modeling studies via mixed methods, by transforming the mental models of individuals into rules for agent-based models. While several books account for methodological developments in modeling socio-environmental systems, our book is unique in combining case studies, methodological innovations, and a holistic approach to training the next generation of modelers. One chapter covers the ontological, epistemological, and ethical issues raised at the intersection of sustainability research and social simulation. In another chapter, we show that the benefits of simulations are not limited to managing complex eco-systems, as they can also serve an educational mission in teaching essential rules and thus improve systems thinking competencies in the broader population.
Author: Ulrich Frey Publisher: Oxford University Press ISBN: 0197502229 Category : Nature Languages : en Pages : 272
Book Description
What can be done to ensure natural resources aren't exploited? Is it possible to determine how to sustainably manage them? What makes some systems successful? In Sustainable Governance of Natural Resources, Ulrich Frey delves deep into unanswered questions like these about resource management. The book explains the current state of biological cooperation mechanisms, case studies in the field, findings from economic-behavioral experiments, common-pool resource dilemmas, and how these are all relevant to these questions surrounding the best way to sustainably manage natural resources. There are many case studies within the field of social-ecological systems, but there are few large-N studies conducted in a methodologically rigorous manner. Frey does just this and takes readers step-by-step through the preparation of datasets like the CPR, NIIS, and IFRI. He also grounds his research through the development of an indicator system which operationalizes 24 individually-synthesized success factors that influence the management of natural resources. The book reveals the practical and operational uses of measuring ecological success in this way, showcasing various statistical and machine learning methods to develop highly predictive, robust, and empirically-sound models. Three different methods, multivariate linear regressions, random forests, and artificial neural networks are compared to achieve robust results. The book sheds new light on factors that have previously been investigated, allowing readers to build off of Frey's system and use his methods to determine whether or not their way of managing natural resources will yield ecological success in practice.
Author: Robert E. Keane Publisher: CRC Press ISBN: 100073255X Category : Science Languages : en Pages : 212
Book Description
Managing today’s lands is becoming an increasingly difficult task. Complex ecological interactions across multiple spatiotemporal scales create diverse landscape responses to management actions that are often novel, counter-intuitive and unexpected. To make matters worse, exotic invasions, human land use, and global climate change complicate this complexity and make past observational ecological studies limited in application to the future. Natural resource professionals can no longer rely on empirical data to analyze alternative actions in a world that is rapidly changing with few historical analogs. New tools are needed to synthesize the high complexity in ecosystem dynamics into useful applications for land management. Some of the best new tools available for this task are ecological and landscape simulation models. However, many land management professionals and scientists have little expertise in simulation modeling, and the costs of training these people will probably be exorbitantly high because most ecosystem and landscape models are exceptionally complicated and difficult to understand and use for local applications. This book was written to provide natural resource professionals with the rudimentary knowledge needed to properly use ecological models and then to interpret their results. It is based on the lessons learned from a career spent modeling ecological systems. It is intended as a reference for novice modelers to learn how to correctly employ ecosystem landscape models in natural resource management applications and to understand subsequent modeling results.
Author: Michel De Lara Publisher: Springer Science & Business Media ISBN: 3540790748 Category : Science Languages : en Pages : 264
Book Description
Nowadays, environmental issues including air and water pollution, climate change, overexploitation of marine ecosystems, exhaustion of fossil resources, conservation of biodiversity are receiving major attention from the public, stakeholders and scholars from the local to the planetary scales. It is now clearly recognized that human activities yield major ecological and envir- mental stresses with irreversible loss of species, destruction of habitat or c- matecatastrophesasthemostdramaticexamplesoftheire?ects.Infact,these anthropogenic activities impact not only the states and dynamics of natural resources and ecosystems but also alter human health, well-being, welfare and economic wealth since these resources are support features for human life. The numerous outputs furnished by nature include direct goods such as food, drugs, energy along with indirect services such as the carbon cycle, the water cycle and pollination, to cite but a few. Hence, the various ecological changes our world is undergoing draw into question our ability to sustain economic production, wealth and the evolution of technology by taking natural systems into account. The concept of “sustainable development” covers such concerns, although no universal consensus exists about this notion. Sustainable development - phasizes the need to organize and control the dynamics and the complex - teractions between man, production activities, and natural resources in order to promote their coexistence and their common evolution. It points out the importance of studying the interfaces between society and nature, and es- ciallythecouplingbetweeneconomicsandecology.Itinducesinterdisciplinary scienti?c research for the assessment, the conservation and the management of natural resources.
Author: Tanya M. Shenk
Author: Tanya M. Shenk
Author: Suzanne Lenhart
Author: 
Author: Kaveh Sheibani
Author: Daniel R. Lynch
Author: Virginia H. Dale
Author: Philippe J Giabbanelli
Author: Ulrich Frey
Author: Robert E. Keane
Author: Michel De Lara