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1. |
Record Nr. |
UNINA9910790299103321 |
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Titolo |
Citizen science : public participation in environmental research / / edited by Janis L. Dickinson and Rick Bonney ; foreword by Richard Louv ; afterword by John W. Fitzpatrick |
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Pubbl/distr/stampa |
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Ithaca : , : Comstock Publishing Associates, , [2012] |
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ISBN |
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0-8014-5674-6 |
0-8014-6442-0 |
0-8014-6395-5 |
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Descrizione fisica |
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1 online resource (304 pages) |
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Altri autori (Persone) |
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BonneyRick <1954-> |
DickinsonJanis L. <1955-> |
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Disciplina |
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Soggetti |
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Environmental sciences - Research - Citizen participation |
Environmental management |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Frontmatter -- Contents -- Foreword -- Notes on Contributors -- Acknowledgments -- Introduction: Why Citizen Science? / Dickinson, Janis L. / Bonney, Rick -- Part I. The Practice of Citizen Science -- 1. Overview of Citizen Science / Bonney, Rick / Dickinson, Janis L. -- 2. Projects and Possibilities: Lessons from Citizen Science Projects -- From Backyard Observations to Continent-Wide Trends: Lessons from the First Twenty-Two Years of Project Feederwatch / Bonter, David N. -- Monitoring Monarchs: Citizen Science and a Charismatic Insect / Oberhauser, Karen S. -- Neighborhood Nestwatch: Mentoring Citizens in the Urban Matrix / Marra, Peter P. / Reitsma, Robert -- Project BudBurst: Citizen Science for All Seasons / Henderson, Sandra / Ward, Dennis L. / Meymaris, Kirsten K. / Alaback, Paul / Havens, Kayri -- Using Bioinformatics in Citizen Science / Kelling, Steve -- 4. Growing the Base for Citizen Science: Recruiting and Engaging Participants / Chu, Miyoko / Leonard, Patricia / Stevenson, Flisa -- 5. What Is Our Impact?: Toward a Unified Framework for Evaluating Outcomes of Citizen Science Participation / Phillips, Tina / Bonney, Rick / Shirk, Jennifer L. -- Part II. Impacts of Citizen Science on Conservation |
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Research -- 6. The Opportunities and Challenges of Citizen Science as a Tool for Ecological Research / Cooper, Caren B. / Hochachka, Wesley M. / Dhondt, André A. -- 7. Widening the Circle of Investigation: The Interface between Citizen Science and Landscape Ecology / Zuckerberg, Benjamin / Mcgarigal, Kevin -- 8. Using Data Mining to Discover Biological Patterns in Citizen Science Observations / Fink, Daniel / Hochachka, Wesley M. -- 9. Developing a Conservation Research Program with Citizen Science / Hames, Ralph S. / Lowe, James D. / Rosenberg, Kenneth V. -- 10. Citizens, Science, and Environmental Policy: A British Perspective / Greenwood, Jeremy J.D. -- Part III. Educational, Social, and Behavioral Aspects of Citizen Science -- 11. Cognitive Considerations in the Development of Citizen Science Projects / Jordan, Rebecca C. / Ehrenfeld, Joan G. / Gray, Steven A. / Brooks, Wesley R. / Howe, David V. / Hmelo-Silver, Cindy E. -- 12. Who Poses the Question? Using Citizen Science to Help K-12 Teachers Meet the Mandate for Inquiry / Trautmann, Nancy M. / Shirk, Jennifer L. / Krasny, Marianne E. -- 13. A Gateway to Science for All: Celebrate Urban Birds / Purcell, Karen / Garibay, Cecilia / Dickinson, Janis L. -- 14. Children and Nature: Following the Trail to Environmental Attitudes and Behavior / Wells, Nancy M. / Lekies, Kristi S. -- 15. Internet-Based Social Networking and Collective Action Models of Citizen Science: Theory Meets Possibility / Triezenberg, Heather A. / Knuth, Barbara A. / Yuan, Y. Connie / Dickinson, Janis L. -- 16. A Role for Citizen Science in Disaster and Conflict Recovery and Resilience / Tidball, Keith G. / Krasny, Marianne E. -- Afterword / Fitzpatrick, John W. -- Literature Cited -- Index |
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Sommario/riassunto |
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Citizen science enlists members of the public to make and record useful observations, such as counting birds in their backyards, watching for the first budding leaf in spring, or measuring local snowfall. The large numbers of volunteers who participate in projects such as Project FeederWatch or Project BudBurst collect valuable research data, which, when pooled together, create an enormous body of scientific data on a vast geographic scale. In return, such projects aim to increase participants' connections to science, place, and nature, while supporting science literacy and environmental stewardship. In Citizen Science, experts from a variety of disciplines-including scientists and education specialists working at the Cornell Lab of Ornithology, where many large citizen science programs use birds as proxies for biodiversity-share their experiences of creating and implementing successful citizen science projects, primarily those that use massive data sets gathered by citizen scientists to better understand the impact of environmental change.This first and foundational book for this developing field of inquiry addresses basic aspects of how to conduct citizen science projects, including goal-setting, program design, and evaluation, as well as the nuances of creating a robust digital infrastructure and recruiting a large participant base through communications and marketing. An overview of the types of research approaches and techniques demonstrates how to make use of large data sets arising from citizen science projects. A final section focuses on citizen science's impacts and its broad connections to understanding the human dimensions and educational aspects of participation. Citizen Science teaches teams of program developers and researchers how to cross the bridge from success at public engagement to using citizen science data to understand patterns and trends or to test hypotheses about how ecological processes respond to change at large geographic scales. Intended as a resource for a broad audience of experts and practitioners in natural sciences, information science, and social sciences, this book can be used to better understand how to |
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improve existing programs, develop new ones, and make better use of the data resources that have accumulated from citizen science efforts. Its focus on harnessing the impact of "crowdsourcing" for scientific and educational endeavors is applicable to a wide range of fields, especially those that touch on the importance of massive collaboration aimed at understanding and conserving what we can of the natural world. |
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2. |
Record Nr. |
UNINA9910825344103321 |
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Titolo |
Forest growth and yield modeling / / Aaron R. Weiskittel ... [et al.] |
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Pubbl/distr/stampa |
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Hoboken, N.J., : Wiley, 2011 |
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ISBN |
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9786613694874 |
9781280784484 |
1280784482 |
9781119998518 |
1119998514 |
9781119971504 |
1119971500 |
9781119998525 |
1119998522 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (431 p.) |
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Classificazione |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Trees - Growth - Computer simulation |
Forest productivity - Computer simulation |
Trees - Growth - Mathematical models |
Forest productivity - Mathematical models |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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Forest Growth and Yield Modeling; Contents; Preface; Acknowledgements; 1 Introduction; 1.1 Model development and validation; 1.2 Important uses; 1.3 Overview of the book; 2 Indices of competition; 2.1 Introduction; 2.2 Two-sided competition; 2.2.1 |
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Distance-independent; 2.2.2 Distance-dependent; 2.3 One-sided competition; 2.3.1 Distance-independent; 2.3.2 Distance-dependent; 2.4 Limitations; 2.4.1 Low predictive power; 2.4.2 Distance-independent vs. distance-dependent; 2.4.3 Influence of sampling design; 2.5 Summary; 3 Forest site evaluation; 3.1 Introduction |
3.2 Phytocentric measures of site quality3.2.1 Site index; 3.2.2 Plant indicators; 3.2.3 Other phytocentric measures; 3.3 Geocentric measures of site productivity; 3.3.1 Physiographic measures; 3.3.2 Climatic measures; 3.3.3 Soil measures; 3.4 Summary; 4 Whole-stand and size-class models; 4.1 Introduction; 4.2 Whole-stand models; 4.2.1 Yield tables and equations; 4.2.2 Compatible growth and yield equations; 4.2.3 Systems of equations; 4.2.4 State-space models; 4.2.5 Transition matrix models; 4.3 Size-class models; 4.3.1 Stand table projection; 4.3.2 Matrix models; 4.3.3 Diameter-class models |
4.3.4 Cohort models4.4 Summary; 5 Tree-level models; 5.1 Introduction; 5.2 Single-tree distance-dependent models; 5.2.1 Example models; 5.3 Tree-list distance-independent models; 5.3.1 Example models; 5.4 Summary; 6 Components of tree-list models; 6.1 Introduction; 6.2 Diameter increment; 6.2.1 Potential diameter increment equations with multiplicative modifiers; 6.2.2 Realized diameter increment equations; 6.3 Height increment; 6.3.1 Potential height increment equations with multiplicative modifiers; 6.3.2 Realized height increment equations; 6.4 Crown recession |
6.4.1 Individual-tree crown recession models6.4.2 Branch-level crown recession models; 6.5 Summary; 7 Individual-tree static equations; 7.1 Introduction; 7.2 Total height; 7.3 Crown length; 7.4 Crown width and profile; 7.5 Stem volume and taper; 7.6 Biomass; 7.7 Use of static equations to predict missing values; 7.8 Summary; 8 Mortality; 8.1 Introduction; 8.2 Stand-level mortality; 8.3 Individual-tree-level mortality; 8.4 Mechanistic models of mortality; 8.5 Development and application of mortality equations; 8.6 Summary; 9 Seeding, regeneration, and recruitment; 9.1 Introduction; 9.2 Seeding |
9.2.1 Flowering and pollination9.2.2 Seed production; 9.2.3 Seed dispersal; 9.2.4 Seed germination; 9.3 Regeneration; 9.4 Recruitment; 9.4.1 Static; 9.4.2 Dynamic; 9.5 Summary; 10 Linking growth models of different resolutions; 10.1 Introduction; 10.2 Linked stand- and size-class models; 10.2.1 Parameter recovery; 10.2.2 Modified stand table projection; 10.3 Linked stand- and tree-level models; 10.3.1 Disaggregation; 10.3.2 Constrained; 10.3.3 Combined; 10.4 Summary; 11 Modeling silvicultural treatments; 11.1 Introduction; 11.2 Genetic improvements; 11.2.1 Stand-level; 11.2.2 Tree-level |
11.3 Early stand treatments |
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Sommario/riassunto |
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"Completely updated and expanded new edition of this widely cited book, Modelling Forest Growth and Yield, 2nd Edition synthesizes current scientific literature, provides insights in how models are constructed, gives suggestions for future developments, and outlines keys for successful implementation of models.The book describes current modeling approaches for predicting forest growth and yield and explores the components that comprise the various modeling approaches. It provides the reader with the tools for evaluating and calibrating growth and yield models and outlines the steps necessary for developing a forest growth and yield model"-- |
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