Learning Landscape Ecology e-bog
583,01 DKK
(inkl. moms 728,76 DKK)
Landscape ecology continues to grow as an exciting, dynamic ecological d- cipline. With its broadscale emphasis and multidisciplinary approach, la- scape ecology lends itself both to basic research and to applications in land management, land-use planning, wildlife management, ecosystem mana- ment, and conservation biology. Landscape ecology makes a unique cont- bution to the scientific communi...
E-bog
583,01 DKK
Forlag
Springer
Udgivet
18 april 2006
Genrer
Ecological science, the Biosphere
Sprog
English
Format
pdf
Beskyttelse
LCP
ISBN
9780387216133
Landscape ecology continues to grow as an exciting, dynamic ecological d- cipline. With its broadscale emphasis and multidisciplinary approach, la- scape ecology lends itself both to basic research and to applications in land management, land-use planning, wildlife management, ecosystem mana- ment, and conservation biology. Landscape ecology makes a unique cont- bution to the scientific community in its attention to ecological dynamics across a broad range of spatial and temporal scales, and as a result it has - come increasingly important for students in the natural sciences to gain a - sic understanding of the subject. Colleges and universities across the United States are incorporating courses in landscape ecology into their curricula. However, nearly every book on landscape ecology is a book to be read, la- ing a hands-on approach. This text is intended to fill that void by providing a comprehensive collection of landscape ecology laboratory exercises. These teaching exercises stress the fundamental concepts of landscape ec- ogy, rather than highly specialized, technical methods. While students will gain experience using a variety of tools commonly used in landscape ecology, we stress the conceptual understanding necessary to use these techniques app- priately. This book attempts to convey the myriad approaches used by la- scape ecologists (as well as a multitude of approaches to teaching) and include group discussion, thought problems, fieldwork, data analysis, spatial data c- lection, exposure to Geographic Information Systems (GIS), simulation m- eling, analysis of landscape metrics, spatial statistics, and written exercises.