The aim of this research is to characterize the spatial patterns of land degradation as a function of grazing intensity, in terms of soil quality, with respect to (1) the distance from CPs; (2) grazing density; and (3) additional environmental variables, in typical Mediterranean grassland, in the eastern Galilee region of Israel.
Modeling land-cover as a function of land-use aids in understanding pertinent land-cover dynamics.
We investigated the influence of riparian and whole watershed land use as a function of stream size on surface water chemistry and assessed regional variation in these relationships.
The aim of this research was, therefore, to explain the soil distribution as a function of lithology, land use and landform, and to develop a methodology for up-scaling to similar environments.
The variations were also location-specific due to differences in soil type as a function of elevation, parent materials, and land use.
We test the null hypotheses that there are no differences in environmental concerns and future land-use preferences as a function of DOE site, sex, age and education.
In this work, we present a multi-temporal uncertainty-based method that incorporates regression models to establish the risk (probability) of land cover change (RLCC), as a function of a set of environmental and socioeconomic driving factors.
We examine the hypothesis that there are differences in environmental concerns and attitudes toward future land use at INEEL as a function of tribal affiliation (ethnicity), educational level, gender, and age.
Kriging is a group of geostatistical techniques to interpolate the value of a random filed (e.g. concentrations of chemical constituent, groundwater level, land elevation, etc. as a function of the geographic locations) at an unobserved location from observation of neighbouring values.
Here, we analyzed how statistical relationships of land-use composition parameters changed as a function of extent in 20 real agricultural landscapes.
