This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. As an alternative to the SLR scenarios in other data layers that we provide, our project also provides the ability to select specific amounts of SLR in increments of one foot, independent of any particular scenario.

This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. As an alternative to the SLR scenarios in other data layers that we provide, our project also provides the ability to select specific amounts of SLR in increments of one foot, independent of any particular scenario.

This extreme high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. As an alternative to the SLR scenarios in other data layers that we provide, our project also provides the ability to select specific amounts of SLR in increments of one foot, independent of any particular scenario.

Vegetation of American Samoa, compiled from individual files for Ofu and Olosega, Rose Atoll, Swains Island, Ta'u, and Tutuila

A 10-meter resolution land surface digital elevation model (DEM) grayscale hillshade for the Manua Islands of Ofu and Olosega in American Samoa derived from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For the related dataset containing numeric elevation values for this image layer, see http://pacioos.org/metadata/usgs_dem_10m_ofuolosega.html

A 10-meter resolution land surface digital elevation model (DEM) grayscale hillshade for the Manua Island of Tau in American Samoa derived from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For the related dataset containing numeric elevation values for this image layer, see http://pacioos.org/metadata/usgs_dem_10m_tau.html

A 10-meter resolution land surface digital elevation model (DEM) grayscale hillshade for the island of Tutuila in American Samoa derived from United States Geological Survey (USGS) 1/3 arc-second DEM quadrangles. For the related dataset containing numeric elevation values for this image layer, see http://pacioos.org/metadata/usgs_dem_10m_tutuila.html

The overall condition of the environment is a combination of managed and non-managed factors. While it is difficult for managers to prevent coral bleaching events, reefs experiencing fewer stressors may recover more quickly than reefs that were highly stressed at the time of bleaching. The scores for managed (see layer "as_usgs_tutma_coralscore_mgt") and non-managed conditions (see layer "as_usgs_tutma_coralscore_nonmgt") were averaged to produce an overall environmental favorability score.

Managers have some ability to support healthy environmental conditions through strategic action at a local and regional scale, such as water quality. This layer synthesized spatial information for several managed conditions to create a relative score for how favorable a given location is for coral growth and survival.

Many aspects of the environment are outside the control of local or regional resource managers. These conditions may require concerted global action to affect change (e.g., water temperatures) or cannot be controlled at all (e.g., wave power). This layer synthesized spatial information for several non-managed conditions to create a relative score for how favorable a given location is for coral growth and survival.