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. Present-day environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (Degree Heating Weeks), and wave power (per meter of wave front). Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

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 "gu_usgs_all_coralscore_mgt") and non-managed conditions (see layer "gu_usgs_all_coralscore_nonmgt") were averaged to produce an overall environmental favorability score. This layer represents a relative score for how favorable overall conditions are for coral growth and survival from a scale of 0 (worst) to 1 (best) in the present climate scenario. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

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. Environmental conditions contributing to this layer included: chlorophyll-a concentration, fish and herbivore biomass, turbidity (Kd490), and macroalgal cover. Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce a coral favorability score for managed conditions. These data are provided as a raster with a resolution of 500 m for American Samoa, including Tutuila and the Manua Islands (Ofu, Olosega, and Tau).

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. Present-day environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (Degree Heating Weeks), and wave power (per meter of wave front). Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided as a raster with a resolution of 500 m for American Samoa, including Tutuila and the Manua Islands (Ofu, Olosega, and Tau).

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. This layer represents a relative score for how favorable overall conditions are for coral growth and survival from a scale of 0 (worst) to 1 (best) in the present climate scenario. These data are provided as a raster with a resolution of 500 m for American Samoa, including Tutuila and the Manua Islands (Ofu, Olosega, and Tau).

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. Environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (annual severe bleaching threshold), wave power (per meter of wave front), and proximity to soils eroded by sea level rise. Projections exist for how some of these conditions may change over the next century based on the trajectory of global greenhouse gas emissions. This project explored how the relative favorability of non-managed conditions could change between the present climate scenario and the rest of the 21st century. This layer represents the future climate scenario for an intermediate emissions scenario (Representative Concentration Pathway 4.5), in which global greenhouse gas emissions peak mid-century and then begin to fall. Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

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 "gu_usgs_all_coralscore_mgt") and non-managed conditions (see layer "gu_usgs_all_coralscore_nonmgt_rcp45") were averaged to produce an overall environmental favorability score. This layer represents a relative score for how favorable overall conditions are for coral growth and survival from a scale of 0 (worst) to 1 (best) in the future climate scenario for an intermediate emissions scenario (Representative Concentration Pathway 4.5), in which global greenhouse gas emissions peak mid-century and then begin to fall. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

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. Environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (annual severe bleaching threshold), wave power (per meter of wave front), and proximity to soils eroded by sea level rise. Projections exist for how some of these conditions may change over the next century based on the trajectory of global greenhouse gas emissions. This project explored how the relative favorability of non-managed conditions could change between the present climate scenario and the rest of the 21st century. This layer represents the future climate scenario for a worst case emissions scenario (Representative Concentration Pathway 8.5), in which no action is taken to reduce global greenhouse gas emissions. Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided for the island of Guam as a raster with a resolution of 1500 m.

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. Environmental conditions contributing to this layer included: marine calcite concentration (a proxy for ocean acidification), irradiance (photosynthetically available radiation, or PAR), thermal stress (annual severe bleaching threshold), wave power (per meter of wave front), and proximity to soils eroded by sea level rise. Projections exist for how some of these conditions may change over the next century based on the trajectory of global greenhouse gas emissions. This project explored how the relative favorability of non-managed conditions could change between the present climate scenario and the rest of the 21st century. This layer represents the future climate scenario for an intermediate emissions scenario (Representative Concentration Pathway 4.5), in which global greenhouse gas emissions peak mid-century and then begin to fall. Covariation in these conditions was accounted for using principal component analysis (PCA) to form composite variables of conditions that have strong relationships with one another. The resulting principal components were averaged and scaled from 0 (worst) to 1 (best) to produce the coral favorability score for non-managed conditions. These data are provided as a raster with a resolution of 500 m for American Samoa, including Tutuila and the Manua Islands (Ofu, Olosega, and Tau).

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 "gu_usgs_all_coralscore_mgt") and non-managed conditions (see layer "gu_usgs_all_coralscore_nonmgt_rcp85") were averaged to produce an overall environmental favorability score. This layer represents a relative score for how favorable overall conditions are for coral growth and survival from a scale of 0 (worst) to 1 (best) in the future climate scenario for a worst case emissions scenario (Representative Concentration Pathway 8.5), in which no action is taken to reduce global greenhouse gas emissions. These data are provided for the island of Guam as a raster with a resolution of 1500 m.