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In this paper, we tested the performance of methods for preselecting sets of three landscape metrics for use in modelling species richness of six groups of organisms (woody plants, orchids, orthopterans, amphibians, reptiles, and small terrestrial birds) and overall species richness in a Mediterranean forest landscape.
For each pollutant we created three different daily metrics for use in the time-series analysis.
Although most of these studies have been ecologic in design, some have used GIS in estimating environmental levels of a contaminant at the individual level and to design exposure metrics for use in epidemiologic studies.
We present a standard set of outcome metrics for use in clinical practice for assessing the management of degenerative low back conditions based on the existing literature and on international expert opinion.
A number of studies have used GIS to design exposure metrics for use in epidemiologic studies (Bellander et al. 2001; Brody et al. 2002; Cicero-Fernandez et al. 2001; Gunier et al. 2001; Inserra et al. 2002; Kohli et al. 1997; Rull and Ritz 2003; Swartz et al. 2003; Ward et al. 2000).
While at present the Return to Play or Return to Work protocols are fairly well-established, there remains a lack of robust metrics for use by clinicians to thoroughly assess function following a mild brain injury prior to safe resumption of pre-injury activities [ 1].
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More research will be required to further existing evidence of the utility of these resilience metrics or to develop new resilience metrics specifically for use in older populations.
Metrics for land use refer to two aspects: area extent of certain land-use types and the intensity of land use within a certain land-use type.
The new version, which is open to comment until 10 March, adds metrics for water use and quality, soil quality, biodiversity, waste management and feed management to the on-farm practices section.
Examples of metrics for habitat use value added from spatial context included similarity or complementarity of neighboring habitat patches and presence of habitat corridors.
Several approaches have been used for meta-analysis of microarray data to enable comparative analyses across multiple datasets, to minimize noise and to generate multivariate metrics for clinical use.
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