Spatial and temporal analysis of lake sedimentation under reforestation

Abstract

Spatial and temporal land cover changes can reduce or accelerate lake sedimentation. This study was conducted to examine morphometry and bathymetry, and the long-term changes (over 75 years) in sedimentation in the Lake Issaqueena reservoir, South Carolina. The watershed and catchment areas were delineated using Light Detection and Ranging (LiDAR) based data. Trends in lake surface area and riparian buffer condition (vegetated or unvegetated) were determined from historical aerial photography. From 1938 to 2009, the lake experienced a decrease in surface area of approximately 11.33 ha while catchment area increased by 6.99 ha, and lake volume decreased by 320,800.00 m 3 . Lake surface area decreased in years corresponding to equal coverage or largely unvegetated riparian buffers. Surface area and average annual precipitation were not correlated; therefore other factors such as soil type, riparian buffer condition and changes in land use likely contributed to sedimentation. Shift from agricultural land to forestland in this watershed resulted in a decrease in sedimentation rates by 88.28%.

Chironomid-based paleotemperature reconstruction of the North Slave Region, Northwest Territories during the Late Holocene

“…Similar fast sedimentation rates were also measured in shallow lakes within the Mackenzie Delta (Deison et al 2012). The upper-mid portions of both cores experienced very different trends in sedimentation, which suggests that unique lake catchment characteristics and processes, such as precipitation, riparian buffer condition, trophic state and within-lake disturbances, played an important role governing the input and deposition of sediment within each lake environment (Sivarajah et al, 2020;Fiskal et al, 2019;Pilgrim et al, 2015). The deposition times of CL-1 (14.5 yr cm -1 ) and HL-1 (15.3 yr cm -1 ) are in line with deposition times estimated across temperate lacustrine sites within southern Canada and northeastern USA (21 yr cm -1 ) (Goring et al, 2012).…”

Methodology for the assessment of poor-data water resources

“…Hydrographic basins respond to climatic, geographic, and anthropogenic changes as a result of the spatial and temporal variation of climate and environmental conditions. Lack of long-term data, differences between databases, and data collection complicate the spatial and time series analysis needed for modeling ( Pilgrim et al, 2015 ).…”