4.2 Article

Long-term data reveal greater intertidal oyster biomass in predicted suitable habitat

Journal

MARINE ECOLOGY PROGRESS SERIES
Volume 683, Issue -, Pages 221-226

Publisher

INTER-RESEARCH
DOI: 10.3354/meps13949

Keywords

Eastern oyster; Crassostrea virginica; Elevation; LiDAR; Habitat suitability model; Oyster restoration; Remote sensing

Funding

  1. National Science Foundation [OCE-1151314, 1832221]
  2. University of Virginia
  3. The Nature Conservancy
  4. Virginia Sea Grant Graduate Research Fellowship

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Habitat suitability models have been used to predict landscape capacity to support populations of species, with high-resolution remote sensing data increasingly included in these models. Validating model predictions with long-term quantitative data is important, as shown in a study of oyster reefs in coastal Virginia. The study found that using habitat suitability models could enhance oyster biomass, particularly when considering elevation as a key driver of success.
Habitat suitability models have been used for decades to develop spatially explicit predictions of landscape capacity to support populations of target species. As high-resolution remote sensing data are increasingly included in habitat suitability models that inform spatial conservation and restoration decisions, it is essential to validate model predictions with independent, quantitative data collected over sustained time frames. Here, we used data collected from 12 reefs over a 14 yr sampling period to validate a recently developed physical habitat suitability model for intertidal oyster reefs in coastal Virginia, USA. The model used intertidal elevation, water residence time, and fetch to predict the likelihood of suitable conditions for eastern oysters Crassostrea virginica across a coastal landscape, and remotely sensed elevation was the most restrictive parameter in the model. Model validation revealed that adult oyster biomass was on average 1.5 times greater on oyster reefs located in predicted 'suitable' habitat relative to reefs located in predicted 'less suitable' habitat over the 14 yr sampling period. By validating this model with long-term population data, we highlight the importance of elevation as a driver of sustained intertidal oyster success. These findings extend the validation of habitat suitability models by quantitatively supporting the inclusion of remotely sensed data in habitat suitability models for intertidal species. Our results suggest that future oyster restoration and aquaculture projects could enhance oyster biomass by using habitat suitability models to select optimal site locations.

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