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DDC 578.6/2
P 49


    Pest risk modelling and mapping for invasive alien species / / edited by Robert C. Venette (USDA Forest Service, USA). - 1780643946. - Wallingford, Oxfordshire, UK : : CABI,, ©2015. - 1 online resource (xii, 240 pages, 16 pages of plates) : : il, карты, м.карты, вкл.л ( час. мин.), 1780643946. - (CABI invasives series ; ; 7). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/106335D2-9F2C-43B3-A86A-3C9B3C26595E. - ISBN 1780643942. - ISBN 9781780643946. - ISBN 1780643950. - ISBN 9781789244304 (e-book). - ISBN 1789244307. - ISBN 9781780643953 (electronic bk.)
Title from PDF title page (viewed June 4, 2015).
Параллельные издания: Print version: : Pest risk modelling and mapping for invasive alien species. - Boston, MA : CABI, 2015. - ISBN 9781780643946
    Содержание:
The Challenge of Modelling and Mapping the Future Distribution and Impact of Invasive Alien Species / Robert C. Venette -- Mapping Endangered Areas for Pest Risk Analysis / Richard Baker, Dominic Eyre, Sarah Brunel, Maxime Dupin, Philippe Reynaud and Vojtĕch Jaros̆ík -- Following the Transportation Trail to Anticipate Human-mediated Invasions in Terrestrial Ecosystems / Manuel Colunga-Garcia and Robert A. Haack -- Simulation Modelling of Long-distance Windborne Dispersal for Invasion Ecology / Hazel R. Parry, Debbie Eagles and Darren J. Kriticos -- Using the MAXENT Program for Species Distribution Modelling to Assess Invasion Risk / Catherine S. Jarnevich and Nicholas Young -- The NCSU/APHIS Plant Pest Forecasting System (nappfast) / Roger D. Magarey, Daniel M. Borchert, Glenn A. Fowler and Steven C. Hong -- Detecting and Interpreting Patterns within Regional Pest Species Assemblages using Self-organizing Maps and Other Clustering Methods / Susan Worner, Rene Eschen, Marc Kenis, Dean Paini, Kari Saikkonen, Karl Suiter, Sunil Singh, Irene Vänninen and Mike Watts -- Modelling the Spread of Invasive Species to Support Pest Risk Assessment : Principles and Application of a Suite of Generic Models / Christelle Robinet, Hella Kehlenbeck and Wopke van der Werf -- Estimating Spread Rates of Non-native Species : The Gypsy Moth as a Case Study / Patrick C. Tobin, Andrew M. Liebhold, E. Anderson Roberts and Laura M. Blackburn -- Predicting the Economic Impacts of Invasive Species : The Eradication of the Giant Sensitive Plant from Western Australia / David C. Cook, Andy Sheppard, Shuang Liu and W. Mark Lonsdale -- Spatial Modelling Approaches for Understanding and Predicting the Impacts of Invasive Alien Species on Native Species and Ecosystems / Craig R. Allen, Daniel R. Uden, Alan R. Johnson and David G. Angeler -- Process-based Pest Risk Mapping using Bayesian Networks and GIS / Rieks D. van Klinken, Justine V. Murray and Carl Smith -- Identifying and Assessing Critical Uncertainty Thresholds in a Forest Pest Risk Model / Frank H. Koch and Denys Yemshanov -- Making Invasion Models Useful for Decision Makers : Incorporating Uncertainty, Knowledge Gaps and Decision-making Preferences / Denys Yemshanov, Frank H. Koch and Mark Ducey -- Assessing the Quality of Pest Risk Models / Steven J. Venette.

~РУБ DDC 578.6/2

Рубрики: Nonindigenous pests--Geographical distribution--Mathematical models.

   Ecological risk assessment--Mathematical models.


   Animaux et plantes nuisibles non indigènes--Distribution géographique--Modèles mathématiques.


   Decision making.


   Dispersal.


   Economic impact.


   Environmental impact.


   Insect pests.


   International trade.


   Introduced species.


   Invasions.


   Invasive alien species.


   Invasive species.


   Mapping.


   Mathematical models.


   Methodology.


   Plant pathogens.


   Plant pests.


   Risk analysis.


   Risk assessment.


   Spread.


   Techniques.


   Weeds.


Кл.слова (ненормированные):
invasieve exoten -- invasive alien species -- invasieve soorten -- invasive species -- plagen -- pests -- plantenplagen -- plant pests -- plantenziekten -- plant diseases -- dierziekten -- animal diseases -- onkruiden -- weeds -- risicoschatting -- risk assessment -- modelleren -- modeling -- invasies -- invasions -- Epidemiology of Plant Pests and Diseases -- Epidemiologie van plantenziekten en -plagen
Аннотация: The International Pest Risk Mapping Workgroup acknowledges that advanced training and a 'tool kit' of software packages are needed to produce pest risk maps that are fully fit for purpose. This book is an initial attempt to address those needs. Invited chapters emphasize specific steps and data requirements to guide users through the development of pest risk models and maps, or components thereof. Each chapter describes assumptions behind each model, briefly addresses pertinent theory and illustrates key concepts through worked examples. Chapters 1 and 2 offer introductory comments about general goals and challenges of producing pest risk models and maps for invasive alien species. Chapters 3 and 4 address the arrival of new invasive alien species, either through international trade or aerial dispersal. Chapters 5, 6 and 7 describe techniques to determine where invasive alien species might establish. Chapters 8 and 9 convey methods to characterize or measure the spread of invasive alien species. Chapters 10, 11 and 12 explain specific methods to assess the potential economic or environmental impacts of biological invasions and the benefits of management. Chapters 13 and 14 describe methods to measure a common form of uncertainty in pest risk models (i.e. parametric uncertainty) and how to formally incorporate uncertainty measures into products for decision makers. The text concludes with a general discussion of measures of model validity and reliability. The text emphasizes the application of models to terrestrial ecosystems, in particular to invasive alien species that might affect plants, such as pathogens, insect pests and weeds. Many of these approaches could be adapted to invasive alien species that affect livestock, wildlife or aquatic ecosystems.

Доп.точки доступа:
Venette, Robert C., \editor.\
C.A.B. International,

Pest risk modelling and mapping for invasive alien species / [Электронный ресурс] / edited by Robert C. Venette (USDA Forest Service, USA)., ©2015. - 1 online resource (xii, 240 pages, 16 pages of plates) : с. (Введено оглавление)

1.

Pest risk modelling and mapping for invasive alien species / [Электронный ресурс] / edited by Robert C. Venette (USDA Forest Service, USA)., ©2015. - 1 online resource (xii, 240 pages, 16 pages of plates) : с. (Введено оглавление)


DDC 578.6/2
P 49


    Pest risk modelling and mapping for invasive alien species / / edited by Robert C. Venette (USDA Forest Service, USA). - 1780643946. - Wallingford, Oxfordshire, UK : : CABI,, ©2015. - 1 online resource (xii, 240 pages, 16 pages of plates) : : il, карты, м.карты, вкл.л ( час. мин.), 1780643946. - (CABI invasives series ; ; 7). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/106335D2-9F2C-43B3-A86A-3C9B3C26595E. - ISBN 1780643942. - ISBN 9781780643946. - ISBN 1780643950. - ISBN 9781789244304 (e-book). - ISBN 1789244307. - ISBN 9781780643953 (electronic bk.)
Title from PDF title page (viewed June 4, 2015).
Параллельные издания: Print version: : Pest risk modelling and mapping for invasive alien species. - Boston, MA : CABI, 2015. - ISBN 9781780643946
    Содержание:
The Challenge of Modelling and Mapping the Future Distribution and Impact of Invasive Alien Species / Robert C. Venette -- Mapping Endangered Areas for Pest Risk Analysis / Richard Baker, Dominic Eyre, Sarah Brunel, Maxime Dupin, Philippe Reynaud and Vojtĕch Jaros̆ík -- Following the Transportation Trail to Anticipate Human-mediated Invasions in Terrestrial Ecosystems / Manuel Colunga-Garcia and Robert A. Haack -- Simulation Modelling of Long-distance Windborne Dispersal for Invasion Ecology / Hazel R. Parry, Debbie Eagles and Darren J. Kriticos -- Using the MAXENT Program for Species Distribution Modelling to Assess Invasion Risk / Catherine S. Jarnevich and Nicholas Young -- The NCSU/APHIS Plant Pest Forecasting System (nappfast) / Roger D. Magarey, Daniel M. Borchert, Glenn A. Fowler and Steven C. Hong -- Detecting and Interpreting Patterns within Regional Pest Species Assemblages using Self-organizing Maps and Other Clustering Methods / Susan Worner, Rene Eschen, Marc Kenis, Dean Paini, Kari Saikkonen, Karl Suiter, Sunil Singh, Irene Vänninen and Mike Watts -- Modelling the Spread of Invasive Species to Support Pest Risk Assessment : Principles and Application of a Suite of Generic Models / Christelle Robinet, Hella Kehlenbeck and Wopke van der Werf -- Estimating Spread Rates of Non-native Species : The Gypsy Moth as a Case Study / Patrick C. Tobin, Andrew M. Liebhold, E. Anderson Roberts and Laura M. Blackburn -- Predicting the Economic Impacts of Invasive Species : The Eradication of the Giant Sensitive Plant from Western Australia / David C. Cook, Andy Sheppard, Shuang Liu and W. Mark Lonsdale -- Spatial Modelling Approaches for Understanding and Predicting the Impacts of Invasive Alien Species on Native Species and Ecosystems / Craig R. Allen, Daniel R. Uden, Alan R. Johnson and David G. Angeler -- Process-based Pest Risk Mapping using Bayesian Networks and GIS / Rieks D. van Klinken, Justine V. Murray and Carl Smith -- Identifying and Assessing Critical Uncertainty Thresholds in a Forest Pest Risk Model / Frank H. Koch and Denys Yemshanov -- Making Invasion Models Useful for Decision Makers : Incorporating Uncertainty, Knowledge Gaps and Decision-making Preferences / Denys Yemshanov, Frank H. Koch and Mark Ducey -- Assessing the Quality of Pest Risk Models / Steven J. Venette.

~РУБ DDC 578.6/2

Рубрики: Nonindigenous pests--Geographical distribution--Mathematical models.

   Ecological risk assessment--Mathematical models.


   Animaux et plantes nuisibles non indigènes--Distribution géographique--Modèles mathématiques.


   Decision making.


   Dispersal.


   Economic impact.


   Environmental impact.


   Insect pests.


   International trade.


   Introduced species.


   Invasions.


   Invasive alien species.


   Invasive species.


   Mapping.


   Mathematical models.


   Methodology.


   Plant pathogens.


   Plant pests.


   Risk analysis.


   Risk assessment.


   Spread.


   Techniques.


   Weeds.


Кл.слова (ненормированные):
invasieve exoten -- invasive alien species -- invasieve soorten -- invasive species -- plagen -- pests -- plantenplagen -- plant pests -- plantenziekten -- plant diseases -- dierziekten -- animal diseases -- onkruiden -- weeds -- risicoschatting -- risk assessment -- modelleren -- modeling -- invasies -- invasions -- Epidemiology of Plant Pests and Diseases -- Epidemiologie van plantenziekten en -plagen
Аннотация: The International Pest Risk Mapping Workgroup acknowledges that advanced training and a 'tool kit' of software packages are needed to produce pest risk maps that are fully fit for purpose. This book is an initial attempt to address those needs. Invited chapters emphasize specific steps and data requirements to guide users through the development of pest risk models and maps, or components thereof. Each chapter describes assumptions behind each model, briefly addresses pertinent theory and illustrates key concepts through worked examples. Chapters 1 and 2 offer introductory comments about general goals and challenges of producing pest risk models and maps for invasive alien species. Chapters 3 and 4 address the arrival of new invasive alien species, either through international trade or aerial dispersal. Chapters 5, 6 and 7 describe techniques to determine where invasive alien species might establish. Chapters 8 and 9 convey methods to characterize or measure the spread of invasive alien species. Chapters 10, 11 and 12 explain specific methods to assess the potential economic or environmental impacts of biological invasions and the benefits of management. Chapters 13 and 14 describe methods to measure a common form of uncertainty in pest risk models (i.e. parametric uncertainty) and how to formally incorporate uncertainty measures into products for decision makers. The text concludes with a general discussion of measures of model validity and reliability. The text emphasizes the application of models to terrestrial ecosystems, in particular to invasive alien species that might affect plants, such as pathogens, insect pests and weeds. Many of these approaches could be adapted to invasive alien species that affect livestock, wildlife or aquatic ecosystems.

Доп.точки доступа:
Venette, Robert C., \editor.\
C.A.B. International,

DDC 511/.8
S 98


    System- and Data-Driven Methods and Algorithms / / edited by Peter Benner [and others]. - Berlin : : De Gruyter,, [2021]. - 1 online resource (viii, 378 pages) : : illustrations. - (Model order reduction ; ; volume 1). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A8C542BF-FC57-4E50-8FDE-CB52C779BDC4. - ISBN 9783110497717 (electronic bk.). - ISBN 3110497719 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed January 24, 2022).

~РУБ DDC 511/.8

Рубрики: Mathematical models.

Аннотация: "An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. "--

Доп.точки доступа:
Benner, Peter, \editor.\

System- and Data-Driven Methods and Algorithms / [Электронный ресурс] / edited by Peter Benner [and others]., [2021]. - 1 online resource (viii, 378 pages) : с.

2.

System- and Data-Driven Methods and Algorithms / [Электронный ресурс] / edited by Peter Benner [and others]., [2021]. - 1 online resource (viii, 378 pages) : с.


DDC 511/.8
S 98


    System- and Data-Driven Methods and Algorithms / / edited by Peter Benner [and others]. - Berlin : : De Gruyter,, [2021]. - 1 online resource (viii, 378 pages) : : illustrations. - (Model order reduction ; ; volume 1). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A8C542BF-FC57-4E50-8FDE-CB52C779BDC4. - ISBN 9783110497717 (electronic bk.). - ISBN 3110497719 (electronic bk.)
Online resource; title from PDF title page (EBSCO, viewed January 24, 2022).

~РУБ DDC 511/.8

Рубрики: Mathematical models.

Аннотация: "An increasing complexity of models used to predict real-world systems leads to the need for algorithms to replace complex models with far simpler ones, while preserving the accuracy of the predictions. This two-volume handbook covers methods as well as applications. This first volume focuses on real-time control theory, data assimilation, real-time visualization, high-dimensional state spaces and interaction of different reduction techniques. "--

Доп.точки доступа:
Benner, Peter, \editor.\

Page 1, Results: 2

 

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