1.

Record Nr.

UNINA9910253954603321

Titolo

Mapping Forest Landscape Patterns / / edited by Tarmo K. Remmel, Ajith H. Perera

Pubbl/distr/stampa

New York, NY : , : Springer New York : , : Imprint : Springer, , 2017

ISBN

1-4939-7331-2

Edizione

[1st ed. 2017.]

Descrizione fisica

1 online resource (XIV, 326 p. 125 illus., 94 illus. in color.)

Disciplina

577

Soggetti

Landscape ecology

Forestry

Applied ecology

Environmental management

Landscape Ecology

Applied Ecology

Environmental Management

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Includes index.

Nota di contenuto

Preface -- Chapter 1: Mapping forest landscapes: overview and a primer -- Chapter 2: Fuzzy classification of vegetation for ecosystem mapping -- Chapter 3: Portraying wildfires in forest landscapes as discrete complex objects -- Chapter 4: Airborne LiDAR applications in forest landscapes -- Chapter 5: Regression Tree modeling of spatial pattern and process interactions -- Chapter 6: Mapping the abstractions of forest landscape patterns -- Chapter 7: Towards automated forest mapping -- Epilogue: Toward more efficient and effective applications of forest landscape maps.

Sommario/riassunto

This book explores the concepts, premises, advancements, and challenges in quantifying natural forest landscape patterns through mapping techniques. After several decades of development and use, these tools can now be examined for their foundations, intentions, scope, advancements, and limitations. When applied to natural forest landscapes, mapping techniques must address concepts such as stochasticity, heterogeneity, scale dependence, non-Euclidean geometry, continuity, non-linearity, and parsimony, as well as be



explicit about the intended degree of abstraction and assumptions. These studies focus on quantifying natural (i.e., non-human engineered) forest landscape patterns, because those patterns are not planned, are relatively complex, and pose the greatest challenges in cartography, and landscape representation for further interpretation and analysis. .