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Table 3 Factorial ANOVA for the five largest individuals within each coverage-distance class Sum of squares Degrees of freedom Mean squares F p value Vegetation type 573.4 2 286.7 56.89 8E−10 Distance to propagule source 213.3 1 213.3 42.34 1E−06 Interaction 443.6 2 221.8 44.01 9E−09 The group has five individuals with the highest diameters at breast height.
Table 2 Frequency comparison of vegetation types and distance classes Variable Relation p value Vegetation type Tall forest/low forest 0.08 Tall forest/shrubland 9.3E−08 Low forest/shrubland 7.2E−17 Distance classes (m) 0 300/300 600 3.3E−05 Result of a chi-squared frequency comparison test (χ2) with the diameter categories between vegetation types and distance classes.
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The natural resources department would meanwhile use a ramped-up monitoring program delivering fortnightly satellite images to "help identify unexplained changes", with priority given to "high-value vegetation and larger areas", a spokesman said.
Multispectral inputs included reflectance values, vegetation indices, and spectral mixture modeling fractions from Système Pour l'Observacion de la Terre (SPOT) 4 satellite images acquired in December, 2006 and February, 2007.
Thus, the plot database was composed of basal area (m2 ha−1), volume (m3 ha−1), spectral band values, and vegetation index values.
The Slats figures showed clearing in reef catchments had risen 46% since 2011-12, while clearing of highest conservation value remnant vegetation had more than doubled to 114,000 hectares, making up 38% of clearing in 2014-15.
A positive highly significant relationship was found between education and value of vegetation.
The table also reflects that as income increases, the value of vegetation (it attracts more business and it improves quality of life) also increases.
It means that as education increases, the value of vegetation, such as trees decrease noise, provide shade, and protect from adverse environmental effects, increases.
We analyzed the landscape patterns of variation of HIreal and HIsust across gradients of ANPP, pastoral value of vegetation (PV), and degradation.
A spatial analysis was also performed to identify the urban pixels within MARJ where UHI is more intense by subtracting the LST of these pixels from the LST mean value of "vegetation" land-use class.
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