1# Library to Find Best eBook for Read
Author : David J. Mladenoff
Release : 1999-08-26
Genre : Nature
Kind : eBook
Book Rating : 228/5 ( reviews)
Book Synopsis Spatial Modeling of Forest Landscape Change by : David J. Mladenoff
Download or read book Spatial Modeling of Forest Landscape Change written by David J. Mladenoff. This book was released on 1999-08-26. Available in PDF, EPUB and Kindle. Book excerpt: Key researchers present newly emerging approaches to computer simulation models of large, forest landscapes.
Author :
Release : 2009
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Understanding Forest Landscape Response to Global Climatic Change: An Uncertainty Evaluation Based on Spatial Modeling by :
Download or read book Understanding Forest Landscape Response to Global Climatic Change: An Uncertainty Evaluation Based on Spatial Modeling written by . This book was released on 2009. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert Michael Scheller
Release : 2004
Genre :
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Forest Landscape Simulation Models by : Robert Michael Scheller
Download or read book Forest Landscape Simulation Models written by Robert Michael Scheller. This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt:
Author :
Release : 2004
Genre : Forest landscape management
Kind : eBook
Book Rating : /5 ( reviews)
Book Synopsis Methods for Integrated Modeling of Landscape Change by :
Download or read book Methods for Integrated Modeling of Landscape Change written by . This book was released on 2004. Available in PDF, EPUB and Kindle. Book excerpt: The Interior Northwest Landscape Analysis System (INLAS) links a number of resource, disturbance, and landscape simulations models to examine the interactions of vegetative succession, management, and disturbance with policy goals. The effects of natural disturbance like wildfire, herbivory, forest insects and diseases, as well as specific management actions are included. The outputs from simulations illustrate potential changes in aquatic conditions and terrestrial habitat, potential for wood utilization, and socioeconomic opportunities. The 14 chapters of this document outline the current state of knowledge in each of the areas covered by the INLAS project and describe the objectives and organization of the project. The project explores ways to integrate the effects of natural disturbances and management into planning and policy analyses; illustrate potential conflicts among current policies, natural distrubances, and management activities; and explore the policy, economics, and ecological constraints associated with the application of effective fuel treatments on midscale landscapes in the interior Northwest.
Author : C. Ashton Drew
Release : 2010-11-25
Genre : Science
Kind : eBook
Book Rating : 907/5 ( reviews)
Book Synopsis Predictive Species and Habitat Modeling in Landscape Ecology by : C. Ashton Drew
Download or read book Predictive Species and Habitat Modeling in Landscape Ecology written by C. Ashton Drew. This book was released on 2010-11-25. Available in PDF, EPUB and Kindle. Book excerpt: Most projects in Landscape Ecology, at some point, define a species-habitat association. These models are inherently spatial, dealing with landscapes and their configurations. Whether coding behavioral rules for dispersal of simulated organisms through simulated landscapes, or designing the sampling extent of field surveys and experiments in real landscapes, landscape ecologists must make assumptions about how organisms experience and utilize the landscape. These convenient working postulates allow modelers to project the model in time and space, yet rarely are they explicitly considered. The early years of landscape ecology necessarily focused on the evolution of effective data sources, metrics, and statistical approaches that could truly capture the spatial and temporal patterns and processes of interest. Now that these tools are well established, we reflect on the ecological theories that underpin the assumptions commonly made during species distribution modeling and mapping. This is crucial for applying models to questions of global sustainability. Due to the inherent use of GIS for much of this kind of research, and as several authors’ research involves the production of multicolored map figures, there would be an 8-page color insert. Additional color figures could be made available through a digital archive, or by cost contributions of the chapter authors. Where applicable, would be relevant chapters’ GIS data and model code available through a digital archive. The practice of data and code sharing is becoming standard in GIS studies, is an inherent method of this book, and will serve to add additional research value to the book for both academic and practitioner audiences.
