SWOT measurements for understanding hydrology and biogeochemistry of tropical lakes, reservoirs and wetlands John Melack University of California, Santa.

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Presentation transcript:

SWOT measurements for understanding hydrology and biogeochemistry of tropical lakes, reservoirs and wetlands John Melack University of California, Santa Barbara

Tropical lakes and wetlands include: Large, deep lakes Volcanic crater lakes High elevation lakes and peatlands Extensive floodplains Flooded grasslands and forests Coastal mangroves

African rift valley: Large freshwater lakes (e.g.,Tanganyika, Malawi, Victoria) Shallow freshwater and saline lakes Extensive papyrus swamps

Volcanic crater lakes, western Uganda

As lakes levels fall and salinity increases biodiversity tends to decrease (Williams, Boulton & Taaffe 1990 Hydrobiologia 197: )

Key SWOT values (1): Lake levels variations throughout a region in lakes of a wide range of sizes as an indication of climatic changes with consequences for biological diversity and productivity In large lakes evidence for internal wave activity and eddy structures as indications of mixing with consequences for productivity

Pandemic damming challenges monitoring of the hydrologic cycle and alters solute fluxes

Balbina Reservoir Topex/POSEIDON Radar Altimetry 21 +/- 10+ cm JERS-1 SAR Interferometry 12 +/- 2.4 cm (Alsdorf et al.2001.GRL 28: )

Key SWOT values (2): Water level variations in reservoirs as a measure of water resources and hydroelectric power potential

Key aspects of floodplain systems Amplitude frequency predictability gradients of flooding

Okavango swamp, southern Africa

Tonle Sap and lower Mekong ( number of JERS-1 scenes)

Amazon Basin < 500m: wetlands and lakes ca. 20%

Water Balance on a Floodplain

Exchanges driven by gradients in slope River to/from Floodplain Local stream to Floodplain Groundwater to/from Floodplain Among habitats within Floodplain

Lake Calado – Inputs N(%)P(%) Direct rainfall86 Surface runoff4211 Groundwater819 Adjacent lakes813 Amazon River2451

Key SWOT values (3): Water level variations in time and space as a driver of hydrologic exchanges and movements of sediments, solutes, pollutants and organisms with consequences for primary and secondary productivity