Dataset Information

High-resolution bathymetries and shorelines for the Great Lakes of the White Nile basin.

ABSTRACT: HRBS-GLWNB 2020 presents the first open-source and high-resolution bathymetry, shoreline, and water level data for Lakes Victoria, Albert, Edward, and George in East Africa. For each Lake, these data have three primary products collected for this project. The bathymetric datasets were created from approximately 18 million acoustic soundings. Over 8,200 km of shorelines are delineated across the three lakes from high-resolution satellite systems and uncrewed aerial vehicles. Finally, these data are tied together by creating lake surface elevation models collected from GPS and altimeter measures. The data repository includes additional derived products, including surface areas, water volumes, shoreline lengths, lake elevation levels, and geodetic information. These data can be used to make allocation decisions regarding the freshwater resources within Africa, manage food resources on which many tens of millions of people rely, and help preserve the region's endemic biodiversity. Finally, as these data are tied to globally consistent geodetic models, they can be used in future global and regional climate change models.

SUBMITTER: Hamilton SE

PROVIDER: S-EPMC9588083 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

High-resolution bathymetries and shorelines for the Great Lakes of the White Nile basin.

Hamilton Stuart E SE McGehee David D DD Nyamweya Chrispine C Ongore Collins C Makori Amina A Mangeni-Sande Richard R Kagoya Esther E Kashindye Benedicto B BB Elison Mboni M Shaban Sophia S SS Mlaponi Enock E Mwainge Venny M VM Ocaya Henry H Krach Noah N Ogari Zachary Z Mugeni Bairon B Taabu-Munyaho Anthony A Kayanda Robert R Muhumuza Elias E Natugonza Vianny V

Scientific data 20221022 1

HRBS-GLWNB 2020 presents the first open-source and high-resolution bathymetry, shoreline, and water level data for Lakes Victoria, Albert, Edward, and George in East Africa. For each Lake, these data have three primary products collected for this project. The bathymetric datasets were created from approximately 18 million acoustic soundings. Over 8,200 km of shorelines are delineated across the three lakes from high-resolution satellite systems and uncrewed aerial vehicles. Finally, these data a ...[more]

PMID: 36273012

Similar Datasets

Project description:White-nose syndrome is a fungal disease that is threatening bat populations across North America. The disease primarily affects cave-hibernating bats by depleting fat reserves during hibernation and causing a range of other physiological consequences when immune responses are suppressed. Since it was first detected in 2006, the disease has killed millions of bats and is responsible for extensive local extinctions. To better understand the effects of white-nose syndrome on various bat species, we analyzed summer acoustic survey data collected from 2016 to 2020 at nine US National Parks within the Great Lakes region. We examined the effect that white-nose syndrome, time of the year relative to pup volancy, habitat type, and regional variation (i.e., park) have on the acoustic abundance (i.e., mean call abundance) of six bat species. As expected, little brown bat (Myotis lucifugus) and northern long-eared bat (Myotis septentrionalis), both hibernating species, experienced a significant decline in acoustic abundance following white-nose syndrome detection. We observed a significant increase in acoustic abundance as white-nose syndrome progressed for hoary bats (Lasiurus cinereus) and silver-haired bats (Lasionycteris noctivagans), both migratory species that are not impacted by the disease. Contrary to our predictions, we observed an increase in big brown bat (Eptesicus fuscus; hibernating) acoustic abundance and a decrease in eastern red bat (Lasiurus borealis; migratory) acoustic abundance following the detection of white-nose syndrome. We did not observe any significant changes after the onset of white-nose syndrome in the seasonal patterns of acoustic activity related to pup volancy, suggesting that production or recruitment of young may not be affected by the disease. Our results suggest that white-nose syndrome is affecting the acoustic abundance of certain species; however, these changes may not be a result of reduced reproductive success caused by the disease. In addition, species population dynamics may be indirectly affected by white-nose syndrome as a result of reduced competition or a foraging niche release. We also found that for parks located at higher latitudes, little brown bat and northern long-eared bat were more likely to experience greater declines in acoustic abundance as a result of white-nose syndrome. Our work provides insight into species-specific responses to white-nose syndrome at a regional scale and examines factors that may facilitate resistance or resiliency to the disease.

Dataset Information

High-resolution bathymetries and shorelines for the Great Lakes of the White Nile basin.

Publications

High-resolution bathymetries and shorelines for the Great Lakes of the White Nile basin.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets