1998
DOI: 10.21236/ada338052
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Training Use Distribution Modeling

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Cited by 7 publications
(9 citation statements)
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“…This assumption of uniformity does not reflect the effects of topographic, vegetation, and other environmental influences on the distribution of land use (Dubois 1994, Krzysik 1994. The ATTACC methodology uses a variety of procedures based on slope, vegetation, and similar factors to represent the distribution of training-related impacts as training events occur (Guertin, Rewerts, and DuBois 1998). To incorporate the effects of maneuver impacts as ecological stressors into the EDYS model, ERDC/CERL researchers developed the distribution pattern ideas used within ATTACC and incorporated them into a geographic information system (GIS) environment to allow for long-term distribution and intensity estimations.…”
Section: Report Date (Dd-mentioning
confidence: 99%
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“…This assumption of uniformity does not reflect the effects of topographic, vegetation, and other environmental influences on the distribution of land use (Dubois 1994, Krzysik 1994. The ATTACC methodology uses a variety of procedures based on slope, vegetation, and similar factors to represent the distribution of training-related impacts as training events occur (Guertin, Rewerts, and DuBois 1998). To incorporate the effects of maneuver impacts as ecological stressors into the EDYS model, ERDC/CERL researchers developed the distribution pattern ideas used within ATTACC and incorporated them into a geographic information system (GIS) environment to allow for long-term distribution and intensity estimations.…”
Section: Report Date (Dd-mentioning
confidence: 99%
“…The second criterion is that all the variables appear to have relevance in influencing the presence of disturbance, having p-values of approximately 0.05 in the model analysis (model R 2 was approximated at 0.4). These criteria are important because the focus of the MIDM modeling effort was to allow for easy transfer of modeling applications to a wide range of Army installations using data currently available at the installation (Guertin, Rewerts, and Dubois 1998).…”
Section: Dependent and Independent Variablesmentioning
confidence: 99%
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“…The second line provides the name of the training intensity distribution map. This map contains a floating-point, normalized training intensity value in each pixel and is generated for installations by using methodology established through the Land Based Carrying Capacity Program (Guertin, Rewerts, and Dubois 1997). The third line item in the input file is the initial landcover map, followed on the fourth line by the name of the desired output map.…”
Section: Input Filementioning
confidence: 99%
“…The disturbance from military training could be directly expressed by using disturbance intensity or indirectly expressed using the factors, such as the C Factor used in the RUSLE, because the ultimate concern of the disturbance is soil erosion. For prediction of direct disturbance, Guertin et al (1998) developed a spatial-explicit logistic model to predict the disturbance from military training using natural attributes and those from human activities. Fang et al (2002) enhanced this model by including training load to make the model temporally explicit.…”
Section: Introductionmentioning
confidence: 99%