Sentence examples for desertification index from inspiring English sources

Topography variables presented correlation indexes between 0.24 and 0.51, and aspect also influenced desertification index with 0.75.

Finally, the landscape variables were NPP, desertification index (DES), total forest cover (TF), and edge density (ED).

Some climate variables were greatly influenced by the topography (e.g., temperature was influenced by the aspect with a correlation index of 0.80) or landscape variables (e.g., temperature influence over desertification index with 0.91).

After calculating desertification hazard index, regression trees and random forest technique was applied for identifying preference of main criteria affecting desertification.

After providing the quality layer for each criterion involving nine quality layers, desertification hazard index was calculated by geometric mean of quality layers as shown eq. 2. DH={left {CQI}^{ast }{SQI}^{ast }{GQI}^{ast }{AQI}^{ast }{VQI}^{ast }S-{EQI}^{ast }{EQI}^{ast }{TQI}^{ast } GWQIright)}^{1/9} (2).

The classification categories of the indices and desertification hazard in the form of the map are shown in Fig. 4. It should be noted that all of layers and maps were classified into four classes based on Table 3.

The most important indices participating in desertification risk were identified by regression tree and random forest techniques.

Desertification landscape patch quantities and fragmentation indexes have increased gradually.

The results indicated a significant correlation between the desertification hazard value with variables of wind erosion, precipitation, aridity index, technology development, slope index, vegetation state and land use changes.

By the quantitative model statistically analyzed the related indices of two periods rocky desertification landscape.It is indicated that the whole landscape pattern becomes more complex.But different degrees of rocky desertification landscape pattern have improvements.Higher rocky desertification imporved to the low one.

Application of regression trees and random forest techniques identified the most important criteria affecting desertification and recognized that indicators such as wind erosion, technology development, aridity index, slope index, precipitation, vegetation state and land use change are major indicators affecting the quality of criteria and desertification in the Taybad-Bakharz.