Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and collections Appli

Product Name: Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and collections Appli
Brand：Drew, C. Ashton Edition：2011 Publication Date：13-10-2014 Country of Origin：USA, United States Net Quantit/Number of Units：1 Dimensions LxWxH - Cms：5.98X0.77X9.02 ISBN-10：1489981357 ISBN-13：9781489981356 SKU：DADAX1489981357 Book Title：Predictive Species and Habitat Modeling in Landscape Ecology: Con No of Pages：327 Release Title：Predictive Species and Habitat Modeling in Landscape Ecology: Con ISBN：9781489981356
Product Description : Predictive Species and Habitat Modeling in Landscape Ecology: Concepts and Applications ,Most projects in Landscape Ecology, at some point, define a specieshabitat 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 collections 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 8page 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..