Management Qulity Index#
Data Preprocessing in Qgis#
Open the downloaded country population density data on Qgis as shown in the figure so as to merge them
Opening Land cover and population data on Qgis#
On the Qgis Menu-bar, navigate to Raster>Miscelleneous>Merge as shown below:
Merging Population Dataset#
On the dialog that pops-up, click on the Input Layer selection option and choose Select All
Merge layers dialog#
Selecting population datasets to merge#
Save the merged layer to your desired location.
With the output from step 3 above loaded onto Qgis, Load the landcover data for the same year as the population data
Load the Landcover data on Qgis#
Once the layers are loaded on to Qgis, open the processing toolbox and search for ‘Management Quality Index’ in the search bar. The management quality index model shoul show up under your the Models section as shown. Click on the Model to open it.
Accessing the MQI model from the processing toolbox#
Select the Landcover and Population dataset as your model inputs on the dialog that pops up as shown below:
Selecting Imput parameters for the MQI model#
Note
According to the major land use types for assessing the management quality degree of human induced stress, the land use intensity is obtained by defining the type of land use in a certain piece of land using the land cover. The population density was used as a proxy of human pressure on the environment: Ferrara, A*., Kosmas, C., Salvati, L., Padula, A., Mancino, G., & Nolè, A. (2020). Updating the MEDALUS‐ESA Framework for Worldwide Land Degradation and Desertification Assessment. Land Degradation & Development, 31(12), 1593-1607.
The simplified methodology is as represnted in the workflow below:
Once the model is executed successfully the outputs will be loaded as temporary layers. You can save the layers with the desired name and set the horizontal and vertical resolution option to 0.0027778
Management Quality Index model outputs#
Saving the Outputs of the MQI model#