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Mathematical Modelling and Methods in Ecology and Geography

Call for Papers

Issues in constructing mathematical model and related analyses play a crucial role in the researches of natural science. In the last decade, due to the rapid development of computer calculation capacity, there has been more emphasis on the studies of efficient and effective mathematical models in the fields of the natural, physical, engineering, earth, and environment sciences. Meanwhile, issues of ecology protection and sustainable development, such as protection of resources (land, energy, biology, water, etc.), are still on the practical significance of academic and policy debates.

The aim of this thematic issue is to provide a forum for researchers that explores the new mathematical theories, methods, models, and experimental science, which covers a wide range of scientific interests of mathematical modelling and methods in classical fields (such as solids and fluid mechanics) and practical applications in ecology and geography. Besides mathematicians, potential audiences include scholars working in the fields of ecology and geography, as well as those policy makers working in related sectors.

We invite authors to submit overview and original papers describing current and expected challenges along with potential solutions for ecology and geography. Both experimental and theoretical papers are welcome.

Potential topics include, but are not limited to:

  • Numerical simulation of wind-blown-sand movement
  • Uncertainty analysis and data assimilation of models in soil physics and hydrologic process
  • Bayesian networks (BNs) in landscape-socioeconomic relationships
  • Population dynamics and biological phenomena
  • Models for air pollution and underground pollution
  • Optimization and evolutionary algorithms models and methods in environmental management and assessment
Manuscript DueFriday, 21 November 2014
First Round of ReviewsFriday, 13 February 2015
Publication DateFriday, 10 April 2015

Lead Guest Editor

Guest Editors

  • Dongwei Gui, Xinjiang Institute of Ecology and Geography, Urumqi, China
  • Lin Mu, Michigan State University, East Lansing, USA
  • Yinnian He, Xi'an Jiaotong University, Xi'an, China
  • Henry Sun, Desert Research Institute, Las Vegas, USA