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sensing, data utilization through geographic information systems (GIS), and data sharing through the Internet have provided … simulation models, GIS, and decision support systems will be deployed through the Internet. In addition to challenges in making …, Internet access, and security, are introduced when GIS, simulation models, and decision support systems are integrated in an …
Persistent link: https://www.econbiz.de/10009429557
Rangelands and pastures are found in every state and cover 55% of the land surface of the United States. Taken as a … whole, from Western deserts and grasslands to meadows and woodlands, rangelands comprise some 364 million ha or 80% of the … land in the 17 Western states. The vast expanses and remoteness of rangelands make assessing economic and ecological …
Persistent link: https://www.econbiz.de/10009429520
In many regions of the U.S., low dissolved oxygen (DO) is a common freshwater impairment. States, territories, and tribes of the U.S. are required by federal law to develop Total Maximum Daily Loads (TMDLs) for waters not meeting established DO standards. Regulators and other professionals are...
Persistent link: https://www.econbiz.de/10009429562
Although the U.S. Congress established the Total Maximum Daily Load (TMDL) program in the original Clean Water Act of 1972, Section 303(d), it did not receive attention until the 1990s. Currently, two methods are available for tracking pollution in the environment and assessing the effectiveness...
Persistent link: https://www.econbiz.de/10009429563
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Traditionally, water quality modelling has focused on modelling individual water bodies. However, water quality management problems must be analyzed at the basin scale. European Water Framework Directive (WFD) requires introducing physical, chemical and biological aspects into the management of...
Persistent link: https://www.econbiz.de/10010997666
Natural resources models serve as important tools to support decision making by predicting environmental indicators. All model predictions have uncertainty associated with them. Model predictive uncertainty, often expressed as the confidence interval around a model prediction value, may serve as...
Persistent link: https://www.econbiz.de/10009429462
Researchers are increasingly able to capture spatially referenced data on both a response and a covariate more frequently and in more detail. A combination of geostatisical models and analysis of covariance methods may be used to analyze such data. However, very basic questions regarding the...
Persistent link: https://www.econbiz.de/10009429428
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