Central Asia including Kyrgyzstan is a disaster prone area,suffering from snow avalanches,landslides and flooding.Within the Tyan- Shan region,a mountainous region in Southern Kyrgyzstan,there is an increasing number ...Central Asia including Kyrgyzstan is a disaster prone area,suffering from snow avalanches,landslides and flooding.Within the Tyan- Shan region,a mountainous region in Southern Kyrgyzstan,there is an increasing number of natural hazards over the last years.One of the possible causes of the increase in natural disasters in the region is the deterioration of the Juniper forests in the region.Juniper forests have a large economical and ecological importance for Kyrgyzstan.However,the conditions worsened for these juniper forests.Since 1980 approximately 20% of the juniper forests were lost due to intensive deforestation,forest fires and excessive cattle grazing and possibly also climate changes are affecting the juniper trees and their soil properties.The aim of this study is to investigate the impact of the juniper forest on the local hydrology and to characterize the water protective properties.展开更多
The article considers the issues of methodology and development of optimal model adapted for the ＂forest-water＂ system, for forecasting the rate of stream flow and for preventing mudflows, flood flows and soil flows...The article considers the issues of methodology and development of optimal model adapted for the ＂forest-water＂ system, for forecasting the rate of stream flow and for preventing mudflows, flood flows and soil flows in juniper forests of Kyrgyzstan, and also shows the dynamics of ecosystems＇ progress.展开更多
Groundwater dependent ecosystems(GDEs)are vulnerable to groundwater regime changes.However,their protection is often hampered by challenges in their identification.Within is presented a remote sensing-based GDE potent...Groundwater dependent ecosystems(GDEs)are vulnerable to groundwater regime changes.However,their protection is often hampered by challenges in their identification.Within is presented a remote sensing-based GDE potential mapping approach based on the persistency of relevant vegetation parameters during prolonged dry periods as an indicator of potential‘consistency’of water supply(e.g.groundwater).The study uses a novel approach to characterising persistency for selected vegetation parameters based on a normalised difference measure and an adaptation of the coefficient of variation statistic.Aggregation of parameters was facilitated through the analytic hierarchy process providing a structured weighting approach to minimise parameter bias.The approach is demonstrated in the semi-arid Flinders Ranges of South Australia where new groundwater resources are being sought to support local domestic and industry needs.Variations in GDE potential were mapped to better target areas where exploration of groundwater should be avoided.Mapping results indicated a high-level of agreement of 77%with an independent springs dataset,along with an 87%agreement with areas coinciding with known phreatophyte species and depths to groundwater.The index-based mapping approach has potential applicability across landscapes,as it normalises for variations in vegetation cover,minimises technical overheads,and employs continental-wide remote sensing data-products.展开更多
基金Supported by the the International Cooperation Department of the Ministry of Science & Technology of China(2010DFB90240)
文摘Central Asia including Kyrgyzstan is a disaster prone area,suffering from snow avalanches,landslides and flooding.Within the Tyan- Shan region,a mountainous region in Southern Kyrgyzstan,there is an increasing number of natural hazards over the last years.One of the possible causes of the increase in natural disasters in the region is the deterioration of the Juniper forests in the region.Juniper forests have a large economical and ecological importance for Kyrgyzstan.However,the conditions worsened for these juniper forests.Since 1980 approximately 20% of the juniper forests were lost due to intensive deforestation,forest fires and excessive cattle grazing and possibly also climate changes are affecting the juniper trees and their soil properties.The aim of this study is to investigate the impact of the juniper forest on the local hydrology and to characterize the water protective properties.
基金Supported by the International Cooperation Department of the Ministry of Science&Technology of the People's Republic of China(2010DFB90240)
文摘The article considers the issues of methodology and development of optimal model adapted for the ＂forest-water＂ system, for forecasting the rate of stream flow and for preventing mudflows, flood flows and soil flows in juniper forests of Kyrgyzstan, and also shows the dynamics of ecosystems＇ progress.
文摘Groundwater dependent ecosystems(GDEs)are vulnerable to groundwater regime changes.However,their protection is often hampered by challenges in their identification.Within is presented a remote sensing-based GDE potential mapping approach based on the persistency of relevant vegetation parameters during prolonged dry periods as an indicator of potential‘consistency’of water supply(e.g.groundwater).The study uses a novel approach to characterising persistency for selected vegetation parameters based on a normalised difference measure and an adaptation of the coefficient of variation statistic.Aggregation of parameters was facilitated through the analytic hierarchy process providing a structured weighting approach to minimise parameter bias.The approach is demonstrated in the semi-arid Flinders Ranges of South Australia where new groundwater resources are being sought to support local domestic and industry needs.Variations in GDE potential were mapped to better target areas where exploration of groundwater should be avoided.Mapping results indicated a high-level of agreement of 77%with an independent springs dataset,along with an 87%agreement with areas coinciding with known phreatophyte species and depths to groundwater.The index-based mapping approach has potential applicability across landscapes,as it normalises for variations in vegetation cover,minimises technical overheads,and employs continental-wide remote sensing data-products.
