Model |
Estimation of the desertification situation (RUSLE, MEDALUS) |
catchment, regional, global scale |
i) Models are developed for specific
purpose and area. Application of models should after the improvement for
the study area; ii) Lack of input parameter data is an obstacle of using
models to estimate the desertification |
(Wijitkosum et al., 2013,
Aiello et al., 2015, Karamesouti et al., 2018) |
|
Prediction of the factors (e.g. rainfall, air temperature) impacting
desertification (CAM3, CCSM3.0, IPCC) |
Regional and global scale |
Intensive data requirement may limit their application |
(Jin et al.,
2012, Doutreloup et al., 2011) |
Indirect detection |
Identifying desertification via an assessment of
desertification indicators, and remote sensing technique are useful for
derivation of the indicators |
Regional and global scale |
The
application is restricted due to lacking of data, and the accuracy is
constrained by the quality of remote sensing datasets |
(Kust et al.,
2011, Li et al., 2013, Albalawi and Kumar, 2013, Jiang et al., 2019a,
Wei et al., 2020) |
Field investigation |
Assessing desertification state based on direct
field observations |
Field scale |
Inefficient way to collect data,
although beneficial for research on the mechanism of desertification |
(Zhang and Huisingh, 2018, Li et al., 2000, Su et al., 2010,
) |