I'm looking for a standard model to quantify the land change drivers (e.g., forest to agriculture or vs). Actually, it depends on the data that I have and the specific location, but I would like to have a good review of what has been done on this topic.
Thank you.
hi my dear
characterization and construction of the standard model
The description stage is one of the most important stages for the preparation of the standard model in which the relationships between
The independent (explanatory) and dependent variable (dependent) variables according to the pronouncement of economic theory,
The independent variables are
The time lag for investment expenditures: The slowing time for investment expenditures affects o
Investment expenditures, as there is a direct relationship between them and that any change occurs in the slowed time
For investment expenditures, this leads to a similar change in investment expenditures.
Oil revenues: Oil revenues are one of the main variables that affect expenditures o
Investment in general and investment expenditures for the manufacturing sector in particular
Because of the heavy reliance of the general budget on oil revenues to finance its expenditures
There is a direct relationship that an increase in oil revenues will be offset by an increase in expenditures.
Investment.
Time-lagging and added value: Value added represents the value of production minus o
Production requirements, and that the relationship between investment expenditures and value added is a direct one,
In other words, every increase in the added value is offset by an increase in investment expenditures.
The proportion of government allocations to the investment budget and the time lag: represents the percentage of o
Appropriations The part deducted from the investment budget for the purpose of developing and developing industries
Transformational and the relationship between them is a direct relationship.
Please refer to our various articles on quantitative land cover/use change and drivers in three continents . Keywords under my contributions:
Rwanda, Bolivia, Majella
Maybe this will provide some ideas for your endeavor.
Considerable land changes have been recorded periodically world over. Dynamics and spatial determinants of land change could be achieved through integration of decadal (10 year gap) cover maps. Landsat images covering spatiotemporal socioeconomic database need be reinforced with collective evidence (ground truth). They are covered under Land Use and Land Cover Change (LULCC)
Land change is a result of cropland (fallow) conversion and forest area changes excluding commercial plantations. Crop land to fallow conversions occur due to many reasons – lack of irrigation facilities, capital investment, labour shortage or even fragmentation of land holdings.
Similarly, substantial gross forest loss happens due to mainly developmental activities and to some extent conversion to crop land although there are some efforts on forest cover regeneration and supplement of degraded forests.
Comparative figures for Human land use (world-55%; India-83%); Climate change (world-20-24%; India 25-30%) and Land degradation (world-8-41%; India -57%) are some examples. However, the land classification includes many more classes as well.
What is important however is to strategies and reduce Loss:gain ratio with the data compiled over a period with judicious planning.
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