4.3. Limitations of this study
This study was carried out in
quite a detail including, literature review, geospatial data collection,
calculation of RUSLE factors, implementation of RUSLE at the national
scale, and spatial analysis conducted to the best of the authors’
knowledge and experience. There may be some flaws, errors, or
uncertainty in data that may affect results and methodology, so there
are some limitations of this study.
For the estimation and monitoring of annual soil erosion over Pakistan,
all the globally produced spatial datasets and comprehensive literature
reviewed estimated values were utilized. Unfortunately, Pakistan is
data-scarce, indeed medium spatial resolution (10 - 30 m) geospatial
datasets are freely available to produce basic products (e.g. LCLU maps,
soil characteristic maps) but unavailable at the national scale due to
several reasons e.g. lack of willingness, technological lacks, and
financial constraints. Although across Pakistan nearly 50 meteorological
stations are installed most of the time rainfall data is unavailable,
those are available are in hardcopy and confidential for the public and
researchers.
Although in this study we tried to validate our soil erosion estimates
with the previously conducted local/ small scale studies, we noticed
that all the five studies were conducted in one big region (i.e. Potohar
plateau).
Despite these limitations, spatially explicit and temporal soil erosion
provided in this study is essential for various purposes, including the
soil conservation and management practices, environmental impact
assessment studies, among others.
5. Conclusions
This study presents a spatial quantitative evaluation of decadal (2005 -
2015) annual soil erosion change on the national and subnational levels
of Pakistan using freely available remotely sensed data and
easy-to-perform RUSLE. It provides baseline information about soil
erosion intensities on seven administrative units of Pakistan. There was
a lack of a scientific study in Pakistan on soil erosion dynamics and a
current approach is a viable option as compared to field-based
assessments and evaluations.
The results of this study would be utilized to identify the soil erosion
prone areas and conversion of LCLU at the national scale that would help
in planning the watershed management activities. International and
national reporting on soil and LCLU change dynamics in Pakistan can be
drawn from these results. Reported soil erosion and soil change dynamics
on highly prone latitude windows would help planners, policy and
decision-makers to devise mechanisms to control/ reduce soil erosion and
to set conservation priorities. A bivariate analysis between soil
erosion change and LCLUC (2005 - 2015) was assessed in this study which
is an indication of the need for soil erosion control measures on a
national scale.
References
Abuzar MK. 2012. Risk assessment of soil erosion in Ghabbir watershed,
Potohar plateau through GIS modeling. PIASA
Abuzar MK, Shakir U, Ashraf MA. 2018. GIS based risk modeling of soil
erosion under different scenarios of land use change in Simly watershed
of Pakistan. Journal of Himalayan Earth Sciences 51 :
132–143
Ahmad S, Islam M, Mirza SN. 2012. Rangeland degradation and management
approaches in Balochistan, Pakistan. Pakistan Journal of Botany
Alewell C, Borrelli P, Meusburger K, Panagos P. 2019. Using the USLE:
Chances, challenges and limitations of soil erosion modelling.International Soil and Water Conservation Research 7 :
203–225. DOI: 10.1016/j.iswcr.2019.05.004
Anjum SA, Wang LC, Xue LL, Saleem MF, Wang GX, Zou CM. 2010.
Desertification in Pakistan: Causes, impacts and management.