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Remote Sensing Time Series for Modeling Invasive Species Distribution: A Case Study of Tamarix spp. in the US and Mexico

Cord, Anna and Klein, Doris and Dech, Stefan (2010) Remote Sensing Time Series for Modeling Invasive Species Distribution: A Case Study of Tamarix spp. in the US and Mexico. In: Proceedings of the International Congress on Environmental Modelling and Software (iEMSs), pp. 1-8. 2010 International Congress on Environmental Modelling and Software Modelling for Environment’s Sake, Fifth Biennial Meeting , 05. - 08. Jul. 2010, Ottawa, Canada.

Full text not available from this repository.

Official URL: http://www.iemss.org/iemss2010/index.php?n=Main.Proceedings

Abstract

Detecting invasive species and predicting their potential distribution are crucial to coordinate management responses. Remote sensing data are now available in several spatial and temporal resolutions and can supply environmental models with additional information. This study uses the Maximum Entropy algorithm to model the current distribution of the saltcedar (Tamarix spp.) in the US and Mexico and to identify suitable habitats, both already inhabited and not yet occupied. Tamarisk is restricted to specific habitats such as riparian zones, wetlands and agricultural or disturbed areas, which are typically not only characterized by climate. To describe vegetation phenology and thermal seasonality in these habitats, the study uses annual metrics of remotely sensed time series from 2001 to 2008 (Terra-MODIS Enhanced Vegetation Index and Land Surface Temperature) together with WorldClim bioclimatic data. By using occurrence records primarily from the US we were able to model predictive maps of tamarisk distribution correlating very well to the known distribution in the US. For Mexico, where only very few occurrence records exist, we identified potential tamarisk habitats for substantial areas in Baja California, in the states of Sonora and Sinaloa and in the Central Mexican Plateau. These predictive model results can be used to support the early detection and prevention of Tamarix spp. invasion.

Document Type:Conference or Workshop Item (Paper)
Title:Remote Sensing Time Series for Modeling Invasive Species Distribution: A Case Study of Tamarix spp. in the US and Mexico
Authors:
AuthorsInstitution or Email of Authors
Cord, Annaanna.cord@dlr.de
Klein, Dorisdoris.klein@uni-wuerzburg.de
Dech, Stefanstefan.dech@dlr.de
Date:July 2010
Journal or Publication Title:Proceedings of the International Congress on Environmental Modelling and Software (iEMSs)
Refereed publication:Yes
In ISI Web of Science:No
Page Range:pp. 1-8
Editors:
EditorsEmail
Swayne, David A. UNSPECIFIED
Yang, Wanhong UNSPECIFIED
Voinov , A. A. UNSPECIFIED
Rizzoli, A. UNSPECIFIED
Filatova, T. UNSPECIFIED
Status:Published
Keywords:Maximum Entropy; MODIS Time Series; Enhanced Vegetation Index; Land Surface Temperature; Tamarisk
Event Title:2010 International Congress on Environmental Modelling and Software Modelling for Environment’s Sake, Fifth Biennial Meeting
Event Location:Ottawa, Canada
Event Type:international Conference
Event Dates:05. - 08. Jul. 2010
Organizer:International Environmental Modelling & Software Society
HGF - Research field:Aeronautics, Space and Transport (old)
HGF - Program:Space (old)
HGF - Program Themes:W EO - Erdbeobachtung
DLR - Research area:Space
DLR - Program:W EO - Erdbeobachtung
DLR - Research theme (Project):W - Vorhaben Geowissenschaftl. Fernerkundungs- und GIS-Verfahren (old)
Location: Oberpfaffenhofen
Institutes and Institutions:German Remote Sensing Data Center
Deposited By: Anna Cord
Deposited On:09 Feb 2011 19:25
Last Modified:09 Feb 2011 19:25

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