Mozambique

Thirteen species of seagrass have been documented in Mozambique, including Thalassodendron leptocaulis, which is exclusive to rocky habitats in Mozambique and South Africa.

Seagrass meadows in Mozambique encompass an area of 439 km², and are primarily located in the intertidal zone. Key sites for the conservation of this vital ecosystem and its associated species include the Quirimbas Archipelago, Bay Fernão Veloso, the Bazaruto Archipelago, as well as the islands of Inhaca and Ponta do Ouro.

While seagrass meadows are abundant in the Bazaruto Archipelago region, this ecosystem faces significant risks from anthropogenic pressures, such as boating, netting, and trampling, as well as from extreme climate events like cyclones.

Seagrass-Watch in Mozambique

To provide an early warning of change, long-term monitoring has been established in Mozambique as part of the Seagrass-Watch, Global Seagrass Observing Network (www.seagrasswatch.org), in collaboration with Marine Mega Fauna Foundation. Establishing a network of monitoring sites in Mozambique provides valuable information on temporal trends in the health status of seagrass meadows in the region and provides a tool for decision-makers in adopting protective measures. It encourages local communities to become involved in seagrass management and protection. Working with both scientists and local stakeholders, this approach is designed to draw attention to the many local anthropogenic impacts on seagrass meadows which degrade coastal ecosystems and decrease their yield of natural resources.

Location

Inhassoro District Monitoring

Monitoring: ongoing
Principal watchers: Marine Megafauna Foundation
Location: Coastal intertidal sand banks, protected by an extensive fringing reef
Site code:
IN1: Tsondzo Bay
IN2: Mangarelane Bay
IN3: Mangarelane Bay South

Comments: All sites are in the low intertidal zone outside the boundaries of the Bazaruto Archipelago National Park (BANP), and are situated in remote, high-threat zones characterised by intense and unregulated netting activity.

Current Status
  • Sites appear to be showing a typical season pattern of seagrass abundance (higher in late spring-summer than winter). Sites are similar in species composition and abundance.
  • CW2 has generally higher abundance and greater canopy height than CW1
  • CW1 showed a dramatic increase in abundance in mid 2003, which may have been a consequence of extraction activities on the reef flat which possibly released nutrients into the water column.
  • When monitoring began, the abundance of epiphytes was significantly higher at CW2 than CW1, however, now both sites have relatively low epiphyte cover (<10%).

Seagrass cover, species composition and canopy height

Cover

Composition

Height

Macroalgae and Epiphyte cover

Algae

Epiphyte

Location

Inhassoro District Mapping

Data collection: Marine Megafauna Foundation
Mapping methodology: Seagrass-Watch
Map planning Data Analysis and Map creation: Seagrass-Watch
Location: Inhassoro District

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In Map Viewer, on the Contents (dark) toolbar (found on the left), select Layers (Layers)  to display all the different map Layers.

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On the Contents (dark) toolbar, click  (Legend).  The legend displays information about each layer that is visible at the current map scale. Not all layers contain legend information.

You do not need to show all map layers in the legend. For example, if the map focuses on seagrass distribution and extent for a region/country, you may want the legend to show only spotcheck symbols and not seagrass species and other reference data included in the map.

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How the data was collected

Field validation points were spatially balanced and randomised within the Area of Interest (AOI). All data collected within the AOI was used to ensure mapping of all seagrass meadows present.

At each field validation point, teams conducted a spot-check using either Drop-Cam, in situ observation, or grab (to confirm species ID where seagrass or algae were present.)

Photoquadrats were captured during each spot-check. Photoquadrats were either geotagged or geolocated. Data collected from the photoquadrats (e.g. % cover and species) at each point were used to train and validate models for classification of satellite imagery.