arcgis

Designing hard interventions for Lagun bay catchment to reduce sediment inflow

BSc International Land and Water Management Wageningen University

Supervisors:
WU Supervisor: Klaas Metselaar
Host supervisor: Sabine Engel

Abstract
Mangrove forest systems and coral reefs are vital ecosystems with ecological, economic, and societal importance. However, they face threats such as excessive sediment inflow from human activities, endangering their health and resilience. This report explores sediment-related issues in the Lagun Bay catchment area on Bonaire and proposes dams as sediment control measures. Potential soil erosion was assessed and dams were designed to reduce sediment transport effectively. However, maintenance is essential for dam functionality. Though not definitive, these dam designs offer potential solutions. Sustainable land and coastal management, coupled with improved data and regular maintenance, can protect these valuable ecosystems and preserve biodiversity. Further research is needed to enhance data quality and expand the study area.

Date
2023
Data type
Research report
Theme
Research and monitoring
Report number
BSc Thesis Wageningen University
Geographic location
Bonaire

St. Kitts, Nevis, St. Eustatius, Grenada, and Barbados land cover and forest formations (1999-2003) Data publication contains GIS data

https://www.fs.usda.gov/rds/archive/catalog/RDS-2022-0047

Abstract:
This data publication contains six raster datasets detailing the land cover and forest structure of several Caribbean islands. These include the islands of St. Kitts, Nevis, St. Eustatius, Grenada and Barbados. Each dataset represents land-cover and woody vegetation formations and is provided as an ERDAS IMAGINE georeferenced raster file and as a GeoTIFF raster file. Spatial land cover datasets for Barbados were created using Landsat ETM+ imagery from 2001 and 2002. Grenada datasets were created using Landsat ETM+ imagery from 2000 and 2001 and Landsat 5 TM imagery from 1986. Lastly, spatial land cover datasets for St. Kitts, Nevis, and St. Eustatius were created using Landsat ETM+ imagery dated between 1999 and 2003.

 

Keywords:
land cover; land use; forest formation; forest type; forest conservation; biota; environment; imageryBaseMapsEarthCover; planningCadastre; Ecology, Ecosystems, & Environment; Landscape ecology; Forest Products; Bioenergy and biomass; Inventory, Monitoring, & Analysis; Resource inventory; Natural Resource Management & Use; Landscape management; Timber; Wilderness; St. Kitts; Nevis; St. Eustatius; Grenada; Ronde Island; Barbados; Caribbean; Lesser Antilles; Netherland Antilles
Date
2023
Data type
Maps and Charts
Theme
Research and monitoring
Geographic location
St. Eustatius

Methods for Assessing Acropora spp. Populations in the Caribbean

Abstract
Since the severe decline of the Acropora populations in Bonaire in the 1980s, no assessment has characterized the distribution of remnant colonies. Because of their patchy distribution, a large sampling effort is necessary to adequately describe their occurrence. However, the spatial scale at which this assessment needs to be carried out makes this prohibitive with approaches such as transects using SCUBA gear and photogrammetry. This internship project aimed to optimize and apply a simple methodology trialed by relevant stakeholders on the island to obtain coarse but spatially explicit data with relatively low time-investment. Snorkelers utilizing a waterproof GPS and a slate to record coarse categorical data outlined patches of Acropora cervicornis and Acropora palmata in-situ. These were processed with an ArcGIS workflow to create shapefiles of coral patches as polygons joined to their corresponding data. The resulting polygons were used to describe the distribution of Acropora spp. along the leeward coast of Bonaire. Furthermore, these were used as ground-truthing data to test whether remote sensing imagery can be used to detect A. cervicornis remotely. 466 polygons along 14.5km of the coast were created, showing a patchy distribution of both species, more frequent occurrence of A. palmata in the northern leeward coast compared to the southern, and vice-versa for A. cervicornis. A multinomial logistic regression, maximum likelihood classification, and forest-based classification all showed a high accuracy in labelling A. cervicornis correctly in remote sensing data, but all showed frequent misclassification of other reef structures as A. cervicornis. The mapping approach presented in this internship could be applied to investigate fragmentation effects in Acropora populations and to gather in-situ ground-truthing data for other benthic habitats.

For full report or more information,  please contact erik.meesters@wur.nl or gulsah.dogruer@wur.nl

Date
2023
Data type
Research report
Theme
Research and monitoring
Report number
Internship Report
Geographic location
Bonaire