Ecosystem Modeling : Theory and Practice

Rosemary Charles

ISBN 10: 1682864251 / ISBN 13: 9781682864258

Edité par Syrawood Publishing House, 2017

A propos de cet article

nach der Bestellung gedruckt Neuware - Printed after ordering - Ecosystem modeling is a method whereby entire ecosystems are studied through mathematical models. Newer concepts are generated on the basis of ecosystem modeling as it facilitates a better understanding of the ecosystem. This book on ecosystem modeling presents interdisciplinary viewpoints on the potential benefits and processes of ecosystem modeling. Different approaches, evaluations, methodologies and advanced studies have been included in this text. It covers in details some existence theories and innovative concepts revolving around ecosystem modeling. This book would prove useful for professionals and students in the fields of ecosystem engineering, restoration ecology and computational biology. It aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.

N° de réf. du vendeur 9781682864258

Détails bibliographiques

• Titre: Ecosystem Modeling : Theory and Practice
• Éditeur: Syrawood Publishing House
• Date de parution: 2017
• Langue: anglais
• ISBN à 10 chiffres: 1682864251
• ISBN à 13 chiffres: 9781682864258
• Reliure: Buch
• État de l'article: Neu

A propos de ce titre

Synopsis

Ecosystem modeling is a method whereby entire ecosystems are studied through mathematical models. Newer concepts are generated on the basis of ecosystem modeling as it facilitates a better understanding of the ecosystem. This book on ecosystem modeling presents interdisciplinary viewpoints on the potential benefits and processes of ecosystem modeling. Different approaches, evaluations, methodologies and advanced studies have been included in this text. It covers in details some existence theories and innovative concepts revolving around ecosystem modeling. This book would prove useful for professionals and students in the fields of ecosystem engineering, restoration ecology and computational biology. It aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.