<p>Multiple linear regression models quantifying relationships between change in visits to conserved land (as indicated by a change in photo user days [PUD] between two time periods [2007–2010 and 2011–2014] and landscape attributes (including static and dynamic attributes).</p
<p>Multiple regression models calculated from sets of correlation coefficients from the 63 sites in ...
<p>Multiple linear regression showing standardized coefficients from model averaging for final bioma...
<p><i>df</i> represents the degrees of freedom for the sources of variation. Bold numbers indicate s...
Multiple linear regression models of solute concentration by land use and Season.</p
<p>The variables AREA and PROX represent the logarithm of patch area and degree of proximity calcula...
<p>Only significant relationships are presented here (α = 0.05, with the exception of agriculture, w...
<p>Regression models of biodiversity knowledge and conservation support as a function of both green-...
<p>Linear regression models of outdoor exposure time, UV-exposure received in SED and the protection...
Generalized linear model results for changes in vegetation factors across treatments and over time.<...
<p>Landscape was set as fixed and LUS as random factor nested in landscape.</p><p>General linear mix...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
Spatially explicit land-use change prediction is often based on environmental characteristics of lan...
<p>Multiple regression models of conservation support as a function of biodiversity knowledge.</p
<p>Relationship between the NMDS scores (derived on only one axis) and the percentage of pioneer ste...
<p>Summary results of a GLM - multiple regression analysis, testing the relationship between indepen...
<p>Multiple regression models calculated from sets of correlation coefficients from the 63 sites in ...
<p>Multiple linear regression showing standardized coefficients from model averaging for final bioma...
<p><i>df</i> represents the degrees of freedom for the sources of variation. Bold numbers indicate s...
Multiple linear regression models of solute concentration by land use and Season.</p
<p>The variables AREA and PROX represent the logarithm of patch area and degree of proximity calcula...
<p>Only significant relationships are presented here (α = 0.05, with the exception of agriculture, w...
<p>Regression models of biodiversity knowledge and conservation support as a function of both green-...
<p>Linear regression models of outdoor exposure time, UV-exposure received in SED and the protection...
Generalized linear model results for changes in vegetation factors across treatments and over time.<...
<p>Landscape was set as fixed and LUS as random factor nested in landscape.</p><p>General linear mix...
<p>Multiple regression model summaries and regression coefficients of the significant climate variab...
Spatially explicit land-use change prediction is often based on environmental characteristics of lan...
<p>Multiple regression models of conservation support as a function of biodiversity knowledge.</p
<p>Relationship between the NMDS scores (derived on only one axis) and the percentage of pioneer ste...
<p>Summary results of a GLM - multiple regression analysis, testing the relationship between indepen...
<p>Multiple regression models calculated from sets of correlation coefficients from the 63 sites in ...
<p>Multiple linear regression showing standardized coefficients from model averaging for final bioma...
<p><i>df</i> represents the degrees of freedom for the sources of variation. Bold numbers indicate s...