Last edited by Mazulrajas
Monday, May 11, 2020 | History

3 edition of Decision Support for Forest Management found in the catalog.

Decision Support for Forest Management

by Annika Kangas

  • 270 Want to read
  • 40 Currently reading

Published by Springer Science + Business Media B.V in Dordrecht .
Written in English

    Subjects:
  • Methodology,
  • Business planning,
  • Environmental management,
  • Forests and forestry,
  • Social sciences,
  • Operations research

  • Edition Notes

    Statementby Annika Kangas, Jyrki Kangas, Mikko Kurttila
    SeriesManaging Forest Ecosystems -- 16
    ContributionsKangas, Jyrki, Kurttila, Mikko, SpringerLink (Online service)
    The Physical Object
    Format[electronic resource] /
    ID Numbers
    Open LibraryOL25545803M
    ISBN 109781402067860, 9781402067877

    The Ecosystem Management Decision Support (EMDS) system is an application framework for knowledge-based decision support of ecological analysis and planning at any geographic scale.. EMDS integrates state-of-the-art geographic information system (GIS) as well as logic programming and decision modeling technologies on multiple platforms (Windows, Linux, Mac OS X) to provide decision . Reviews "Sustainable Forest Management provides a unique and up-to-date synthesis of the state of knowledge on sustainable forest management from a variety of environmental, economic, social, cultural, and governance perspectives. Highly recommended as an interdisciplinary teaching text for university courses in environmental sciences, particularly in forestry, ecology, geography.".

    classification models from an input data set. Examples include decision tree classifiers, rule-based classifiers, neural networks, support vector machines, and na¨ıve Bayes classifiers. Each technique employs a learning algorithm to identify a model that best fits the relationship between the attribute set and class label of the input data. The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).

    By the end of the decade, the value of decision support in for-est management was well established, and decision support system developers had become relatively adept at delivering effective expertise for these small, well-defined problems. By the late s, however, the scope of forest management began to expand dramatically.   Decision Support Systems in Agriculture, Food and the Environment: Trends, Applications and Advances presents the development of DSS for managing agricultural and environmental systems, focusing on the exposition of innovative methodologies, from web-mobile systems to artificial intelligence and knowledge-based DSS, as well as their.


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Decision Support for Forest Management by Annika Kangas Download PDF EPUB FB2

Decision Support for Forest Management (Managing Forest Ecosystems Book 30) - Kindle edition by Kangas, Annika, Kurttila, Mikko, Hujala, Teppo, Eyvindson, Kyle, Kangas, Jyrki. Download it once and read it on your Kindle device, PC, phones or tablets.

Use features like bookmarks, note taking and highlighting while reading Decision Support for Forest Management (Managing Forest Ecosystems Manufacturer: Springer. The substantial growth in the range of techniques, methods and approaches extensively shown through examples in the book Decision Support for Forest Management, should put forest managers and decision makers well equipped to face this challenge.” (Hans W.

Ittmann, IFORS News, Vol. 11 (1), March, ). The goal of Kangas, Kangas and Kurttila's Decision Support for Forest Management is to provide students and researchers with a toolbox of methods for approaching the different planning situations that may arise in practice.

It draws together a wide range of methods used in planning forest management regimes and presents a systematic overview of current methodological approaches.

Get this from a library. Decision support for forest management. [Annika Kangas; Jyrki Kangas; Mikko Kurttila] -- The goal of Kangas, Kangas and Kurttila's Decision Support for Forest Management is to provide students and researchers with a toolbox of methods for.

Numerous decision support systems have been developed for forest management over the past 20 years or more.

In this chapter, the authors briefly review some of the more important and recent. The substantial growth in the range of techniques, methods and approaches extensively shown through examples in the book Decision Support for Forest Management, should put forest managers and decision makers well equipped to face this challenge.” (Hans W.

Ittmann, IFORS News, Vol. 11 (1), March, )Format: Hardcover. In [16], the author implements a participatory decision making in forest planning. Also, authors in [17], propose a Decision Support for forest management. Authors in [18] treat the problem of. This book offers a thorough review and explanation of decision support methods and tools, and shows how these are best applied to a wide range of situations.

Decision Support for Forest Management. by Annika Kangas,Mikko Kurttila,Teppo Hujala,Kyle Eyvindson,Jyrki Kangas. Managing Forest Ecosystems (Book 30) Thanks for Sharing.

You submitted the following rating and review. We'll publish them on our site once we've reviewed : Springer International Publishing. Background and Objectives: Forests and forestry have been confirmed to be sensitive to climate.

On the other hand, human efforts to mitigate climate change influence forests and forest management. To facilitate the evaluation of future sustainability of forest management, decision support systems are.

Decision Support Systems (DSS) are essential tools for forest management practitioners to help take account of the many environmental, economic, administrative, legal and social aspects in forest management.

The most appropriate techniques to solve a particular instance usually depend on the characteristics of the decision by: According to the aims of the Forest Management Decision Support Systems (FORSYS) this synthesis is a comprehensive quality reference for forest management decision support systems.

The emphasis of the book is on identifying and assessing the support provided by computerized tools to enhance forest management planning in real-world contexts. 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. Decision Support Systems For Forest Management In Mexico: Their Characteristics and Context for Their Creation and Evolution: /ch In the last 25 years there have been several efforts to create Decision Support Systems (DSS) for management of the forests in Mexico.

Few references existsCited by: 5. A decision support system (DSS) is an information system that supports business or organizational decision-making activities. DSSs serve the management, operations and planning levels of an organization (usually mid and higher management) and help people make decisions about problems that may be rapidly changing and not easily specified in advance—i.e.

unstructured and semi-structured. The goal of Margin + Mission: A Prescription for Curing Healthcare’s Cost Crisis is to share ideas to help solve the cost crisis in healthcare. Now in its second printing Margin + Mission is helping to fuel conversation.

All stakeholders agree that in order for healthcare to be healthy, the time is now to find the prescription and without margin, there is no mission.

There are no more promising or important targets for forest management research than understanding how we can solve sustainable forest management problems effectively and learning how to continually improve our decision-making processes and our decision-support capabilities (Rauscher.).

Citation: Rauscher, H. Michael Decision Cited by: DSS are computer-based tools which provide support to solve ill-structured decision problems by integrating database management systems with analytical and operational research models, graphic display, tabular reporting capabilities, and the expert knowledge of scientists, managers, and decision makers to assist in specific decision making.

Forest Service Agency Administrator Certification. In a new Agency Administrator certification process was adopted for fire management. A combined taskbook was developed to integrate common tasks for wildfire and prescribed fire management, details for the certification process can be found within Chapter 5 of the Red new process includes the completion of a taskbook similar to.

item 2 Decision Support for Forest Management by Annika Kangas (English) Hardcover Book 2 - Decision Support for Forest Management by Annika Kangas (English) Hardcover Book.

$ Free shipping. item 3 Decision Support Systems for Management Accountants by Boer. Historically, it has been either impossible or extremely expensive to monitor a large forest in its entirety.

Rezatec addresses this problem with powerful decision support services designed specifically for the forestry sector, that utilise sophisticated satellite and other remotely sensed data to .Various kinds of decision support approaches (DSAs) are used in adaptive management of forests.

Existing DSAs are aimed at coping with uncertainties in ecosystems but not controllability of outcomes, which is important for regional management. We designed a DSA for forest zoning to simulate the changes in indicators of forest functions while reducing uncertainties in both controllability and Cited by: 2.Annika Kangas is the author of Decision Support for Forest Management ( avg rating, 0 ratings, 0 reviews, published ), Forest Inventory ( avg r.