63
© The Author(s), under exclusive license to Springer Nature Switzerland
AG 2021
E. Duulatov et al., Current and Future Trends of Rainfall Erosivity and Soil
Erosion in Central Asia, SpringerBriefs in Environmental Science,
https://doi.org/10.1007/978-3-030-63509-1_6
Chapter 6
Conclusions and Recommendations
Abstract This chapter concludes the preceding chapters and offers recommendations for carrying out future studies. Higher amounts of rainfall were the main factor
for the spatiotemporal variability in rainfall erosivity. Public policies aimed at preserving soil and water resources should be encouraged and applied at the national
land survey level. Further study is required to consider other essential influences
that intensify the erosivity and erosion, particularly the future land cover changes.
Keywords Central Asia · Rainfall erosivity · Soil erosion · Erosivity density ·
Climate change · RUSLE · Recommendations · Spatiotemporal variability
It has been shown that Central Asia is a zone sensitive to climate change. A quantitative assessment of the impact of climate change and its impact on soil erosion over
Central Asia is important to assist policymakers and land managers in adopting the
strategies for their protection and conservation. However, the reported quantitative
observations of soil erosion in Central Asia are limited. The goal of the study was to
use globally available data to estimate the spatial and temporal variations and prediction of climate-induced rainfall erosivity and soil erosion in regions with limited
data, such as Central Asia. The study was conducted in Central Asia. The sections
below discuss the obtained results.
In this research, we estimated the potential influence of climate change on rainfall erosivity and erosivity density in Central Asia using baseline data (1960–1990)
and projected precipitation data (2020–2049 and 2060–2089). The projected precipitation was obtained from the downscaled data of four GCMs, BCCCSM1.1,
IPSLCM5ALR, MIROC5, and MPIESMLR, based on two scenarios, RCP2.6 and
RCP8.5. The mean erosion of rainfall in Central Asia was calculated and compared
with the climate scenario predictions. The mean rainfall erosivity within the baseline period was 497.8 MJ mm ha
−1
h
−1
year
−1
.
© The Author(s), under exclusive license to Springer Nature Switzerland
AG 2021
E. Duulatov et al., Current and Future Trends of Rainfall Erosivity and Soil
Erosion in Central Asia, SpringerBriefs in Environmental Science,
https://doi.org/10.1007/978-3-030-63509-1_6
Chapter 6
Conclusions and Recommendations
Abstract This chapter concludes the preceding chapters and offers recommendations for carrying out future studies. Higher amounts of rainfall were the main factor
for the spatiotemporal variability in rainfall erosivity. Public policies aimed at preserving soil and water resources should be encouraged and applied at the national
land survey level. Further study is required to consider other essential influences
that intensify the erosivity and erosion, particularly the future land cover changes.
Keywords Central Asia · Rainfall erosivity · Soil erosion · Erosivity density ·
Climate change · RUSLE · Recommendations · Spatiotemporal variability
It has been shown that Central Asia is a zone sensitive to climate change. A quantitative assessment of the impact of climate change and its impact on soil erosion over
Central Asia is important to assist policymakers and land managers in adopting the
strategies for their protection and conservation. However, the reported quantitative
observations of soil erosion in Central Asia are limited. The goal of the study was to
use globally available data to estimate the spatial and temporal variations and prediction of climate-induced rainfall erosivity and soil erosion in regions with limited
data, such as Central Asia. The study was conducted in Central Asia. The sections
below discuss the obtained results.
In this research, we estimated the potential influence of climate change on rainfall erosivity and erosivity density in Central Asia using baseline data (1960–1990)
and projected precipitation data (2020–2049 and 2060–2089). The projected precipitation was obtained from the downscaled data of four GCMs, BCCCSM1.1,
IPSLCM5ALR, MIROC5, and MPIESMLR, based on two scenarios, RCP2.6 and
RCP8.5. The mean erosion of rainfall in Central Asia was calculated and compared
with the climate scenario predictions. The mean rainfall erosivity within the baseline period was 497.8 MJ mm ha
−1
h
−1
year
−1
.