A prospective approach, such as the CLUE-S model, demonstrates high applicability as baseline method in providing environmental effectiveness.
The CLUE-S model [28] explores quantitative, spatially explicit, multi-scale pathways of land-use changes through the determination and quantification of the most important driving forces.
Prompted by the clues from model organisms, the architecture of the functional ATG7-mediated regulatory network has been explored in the settings of human biology and disease, such as cancer, infectious disease, and neurodegenerative diseases (Fig. 1).
Then, we adopted a CLUE-S model to spatially analyze changes in the landscape pattern and ecosystem services by simulating the following three scenarios: a historical trend, non-selective management of tea plantations, and selective management of tea plantations.
The results of this study indicated that GA and the CLUE-S model can be used to optimize the land use patterns in the future and that SWAT can be used to evaluate the effect of land use optimization on non-point source pollution control.
Then two future land use scenarios for the year 2050 are forecasted using the CLUE-s model based on the land use of 2002: (1) scenario A with an increase in urban area from 9.2%to17%7% of the entire watershed and (2) scenario B with an increase from 9.2%to14%4%.
It can aid in providing clues to model loops for which homologue of similar length is unavailable.
DoSA can thus aid in providing clues to model loop regions, for which a homologue of similar length is unavailable (17).
The CLUE-S model [ 28] explores quantitative, spatially explicit, multi-scale pathways of land-use changes through the determination and quantification of the most important driving forces.
