Sentence examples for biophysical metrics from inspiring English sources

Spatially explicit modeling tools like ARIES, Environmental Systems Modelling Platform (Ensym), InVEST, Land Utilisation and Capability Indicator (LUCI), and Multiscale Integrated Models of Ecosystem Services (MIMES) can quantify biophysical metrics for ecosystem services using varying modeling paradigms, complexity, and underlying assumptions.

Thus, future studies of hPDCs and other primary stem cell populations with clinical potential should consider varying biophysical metrics for more thorough optimization of stem cell differentiation.

Given tree recipients' demand for smaller flowering or fruiting trees, as well as lack of resources for tree survival monitoring on private lands, program leaders appeared to have turned to social measures of success − spreading a positive message about trees and urban greening − as opposed to biophysical performance metrics.

We mapped freshwater recreational fishing capacity at the 12-digit hydrologic unit-scale in North Carolina and Virginia using a multi-indicator service framework incorporating biophysical and social landscape metrics and mapped demand based on fishing license data.

For this question, the user selects whether desired outputs are monetary, biophysical, recreational, or cultural metrics, and whether spatial and/or temporal outputs are needed.

Overlapping social ES hotspots based on the social landscape metrics with ES hotspots based on more traditional biophysical modelling (biophysical hotspots) and ecological inventories (ecological hotspots) results in social ecological or social biophysical hotspots, coldspots and warmspots relevant for nature and landscape planning, management and governance.

Generalized linear mixed models (GLMMs) were generated for 155 and 157 fincas in 1990 and 1999, respectively, using pattern metrics at the landscape level as dependent variables, and biophysical, geographical, and socio-economic/demographic variables as independent variables.

LCLU changes have been quantified with remote sensing techniques, driving forces have been analysed with multiple logistic regressions combining biophysical and human variables, whereas landscape dynamics have been quantified using different metrics.

These metrics were scaled with population and city area using single and piecewise power-law models and related to biophysical factors (precipitation, topography) and land cover.

The relationship between image texture metrics and measurements of forest attributes can be used to help characterize complex forests, and enhance fine vegetation biophysical properties, a difficult challenge when using spectral vegetation indices especially in closed canopies.

The most successful campaigns in optimizing fragment hits usually employ numerous biophysical approaches (X-ray crystallography, NMR, SPR, and ITC) to predict how a fragment's ligand efficiency (as well as other metrics, such as LogP) will be maintained or improved, while potency (i.e., molecular weight) is increased.