Next Article in Journal
A Spatio-Temporal VGI Model Considering Trust-Related Information
Next Article in Special Issue
Towards an Automatic Ice Navigation Support System in the Arctic Sea
Previous Article in Journal
Integrated WiFi/PDR/Smartphone Using an Adaptive System Noise Extended Kalman Filter Algorithm for Indoor Localization
Previous Article in Special Issue
Spatial Sampling Strategies for the Effect of Interpolation Accuracy
Article Menu

Export Article

Open AccessArticle
ISPRS Int. J. Geo-Inf. 2016, 5(2), 9; doi:10.3390/ijgi5020009

A Geosimulation Approach for Data Scarce Environments: Modeling Dynamics of Forest Insect Infestation across Different Landscapes

Spatial and Modeling Laboratory, Department of Geography, Simon Fraser University, 8888 University Drive, Burnaby, BC V5A 1S6, Canada
These authors contributed equally to this work.
*
Author to whom correspondence should be addressed.
Academic Editors: Songnian Li and Wolfgang Kainz
Received: 30 November 2015 / Revised: 20 January 2016 / Accepted: 22 January 2016 / Published: 2 February 2016
(This article belongs to the Special Issue Bridging the Gap between Geospatial Theory and Technology)
View Full-Text   |   Download PDF [3999 KB, uploaded 2 February 2016]   |  

Abstract

Insect infestation behaves as a complex system, characterized by non-linear spatial dynamics and emergent patterns that evolve from smaller to larger spatial scales. The emerald ash borer (EAB) is an invasive species that has infested and killed millions of ash trees across North America. Existing EAB models use traditional statistical approaches that often cannot address the spatiotemporal complexity emerging from EAB infestation processes. Moreover, these studies of insect infestation are limited by a lack of sufficient time series data. The objective of this study is to develop a geosimulation approach to overcome the challenge of data scarcity and represent EAB infestation at a regional scale. Geographic information systems (GIS), multi-criteria evaluation (MCE), and cellular automata (CA) are used to model EAB spread across different hypothetical landscape types. Simulation results represent EAB propagation and indicate different dynamics of spread for each landscape. Urban environments are identified as being at the greatest risk to the infestation. The proposed approach offers a theoretical framework and a modeling tool to represent the propagation of EAB infestation that can be applied with real geospatial datasets and potentially used in forest management strategies. View Full-Text
Keywords: cellular automata; geosimulation; geographic information systems; insect infestation; emerald ash borer; ecological modeling; data scarcity cellular automata; geosimulation; geographic information systems; insect infestation; emerald ash borer; ecological modeling; data scarcity
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).

Scifeed alert for new publications

Never miss any articles matching your research from any publisher
  • Get alerts for new papers matching your research
  • Find out the new papers from selected authors
  • Updated daily for 49'000+ journals and 6000+ publishers
  • Define your Scifeed now

SciFeed Share & Cite This Article

MDPI and ACS Style

Anderson, T.; Dragicevic, S. A Geosimulation Approach for Data Scarce Environments: Modeling Dynamics of Forest Insect Infestation across Different Landscapes. ISPRS Int. J. Geo-Inf. 2016, 5, 9.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
ISPRS Int. J. Geo-Inf. EISSN 2220-9964 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top