Data from: Predictive modeling of coral distribution and abundance in the Hawaiian Islands

Franklin EC, Jokiel PL, Donahue MJ

Date Published: September 26, 2014

DOI: http://dx.doi.org/10.5061/dryad.9vd0q

 

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Title Predicted benthic cover of Montipora capitata in the Hawaiian Islands
Description The data files are output from a model to predict the benthic cover of Montipora capitata in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict M. capitata cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. The "mhi_mcap.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Montipora capitata as a proportion (0-1.0) (“mhi_mcap.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_cap.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
Download mhi_mcap.zip (2.125 Mb)
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Title Predicted benthic cover of Monitipora flabellata in the Hawaiian Islands
Description The data files are output from a model to predict the benthic cover of Montipora flabellata in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict M. flabellata cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. The "mhi_mfla.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Montipora flabellata as a proportion (0-1.0) (“mhi_mfla.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_fla.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
Download mhi_mfla.zip (3.060 Mb)
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Title Predicted benthic cover of Montipora patula in the Hawaiian Islands
Description The data files are output from a model to predict the benthic cover of Montipora patula in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict M. patula cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. The "mhi_mpat.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Montipora patula as a proportion (0-1.0) (“mhi_mpat.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_mpat.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
Download mhi_mpat.zip (2.965 Mb)
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Title Predicted benthic cover of Porites compressa in the Hawaiian Islands
Description The data files are output from a model to predict the benthic cover of Porites compressa in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict P. compressa cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. The "mhi_pcom.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Porites compressa as a proportion (0-1.0) (“mhi_ pcom.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_ pcom.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
Download mhi_pcom.zip (3.003 Mb)
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Title Predicted benthic cover of Porites lobata in the Hawaiian Islands
Description The data files are output from a model to predict the benthic cover of Porites lobata in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict P. lobata cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. The "mhi_plob.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Porites lobata as a proportion (0-1.0) (“mhi_ plob.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_ plob.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
Download mhi_plob.zip (2.914 Mb)
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Title Predicted benthic cover of Pocillopora meandrina in the Hawaiian Islands
Description The data files are output from a model to predict the benthic cover of Pocillopora meandrina in the Hawaiian Islands. Coral cover was modeled with boosted regression trees (BRT) in R software using data from coral cover surveys and environmental covariates derived from models and/or observations including wave height, benthic geomorphology, and downwelled irradiance. The best performing BRT model was used to predict P. meandrina cover for the entire geographic study domain. Data and model output represent conditions for shallow coral reefs in the Hawaiian Islands from 0 m to -30 m depth over the time period 2000-2009. The "mhi_pmea.zip" file contains two files: an ascii raster grid file of predicted benthic cover of the coral species Pocillopora meandrina as a proportion (0-1.0) (“mhi_ pmea.asc”) and a projection file that describes the geographic projection and datum of the ascii file (“mhi_ pmea.prj”). The ascii file includes a six line header section with data in 10,940 columns (“ncols”) and 6,841 rows (“nrows”) georegistered to 18.88N, 160.27W at the lower left corner of the grid (“xllcorner”, “yllcorner”). Grid cell size is 0.0005 (which approximates a 50 m grid cell in the study area) and no data values are -9999. Further details on methodology and results are contained in Franklin et al. (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. MEPS 481:121-131.
Download mhi_pmea.zip (2.918 Mb)
Details View File Details

When using this data, please cite the original publication:

Franklin EC, Jokiel PL, Donahue MJ (2013) Predictive modeling of coral distribution and abundance in the Hawaiian Islands. Marine Ecology Progress Series 481: 121-132. http://dx.doi.org/10.3354/meps10252

Additionally, please cite the Dryad data package:

Franklin EC, Jokiel PL, Donahue MJ (2013) Data from: Predictive modeling of coral distribution and abundance in the Hawaiian Islands. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.9vd0q
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