Reference period and projected environmental suitability scores
Dates
Publication Date
2018
Start Date
1900-01-01
End Date
2099-12-31
Citation
Stroh, E.D., and Struckhoff, M.A., 2018, Fire and climate suitability for woody vegetation communities in south central United States-Data: U.S. Geological Survey data release, https://doi.org/10.5066/F70P0XWB
Summary
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance. We used a 10-fold cross-validation [...]
Summary
These data were generated with MAXENT 3.3.3k freeware (Phillips et al. 2011) using climate data and fire probability data for for three time periods: reference (1900-1929), mid-century (2040-2069) and late century (2070-2099), and community occurrence point data extracted from LANDFIRE Environmental Site Potential (ESP). Future time period data are from three global climate models (GCMs): CGCM, GFDL, and HadCM3. In MAXENT, we used the logistic output format (generating presence probabilities between 0 and 1), a random test percentage of 30 (using 70 % of the occurrence points to generate the suitability model and 30 % of the occurrence points to validate it), and a jackknife test to measure variable importance. We used a 10-fold cross-validation routine with repeated subsampling of occurrence points into random training and testing subsets. This generated 10 separate models plus an averaged model. The models trained on the reference period variables were then used to project future presence probabilities for each woody community type for each GCM and future time period. Values in the data sets are the jack-knifed average values and range from zero to one, with one representing highest environmental suitability for a given ESP type. Data coverage is for conterminous US. The 21 data sets include: ESS_Oak_Baseline.tif = 1900-1929 MAXENT environmental suitability scores for oak community type; ESS_Mesquite_Baseline.tif = 1900-1929 MAXENT environmental suitability scores for mesquite community type; ESS_Pinyon-JuniperBaseline.tif = 1900-1929 MAXENT environmental suitability scores for pinyon-juniper community type; ESS_Oaks_CGMid_avg.asc = 2040-2069 CGCM MAXENT environmental suitability scores oak community type; ESS_Oaks_CGLate_avg.asc = 2070-2099 CGCM MAXENT environmental suitability scores oak community type; ESS_Oaks_GFDLMid_avg.asc = 2040-2069 GFDL MAXENT environmental suitability scores for oak community type; ESS_Oaks_GFDLLate_avg.asc = 2070-2099 GFDL MAXENT environmental suitability scores for oak community type; ESS_Oaks_HadMid_avg.asc = 2040-2069 HadCM3 MAXENT environmental suitability scores for oak community type; ESS_Oaks_GFDLLate_avg.asc = 2070-2099 HadCM3 MAXENT environmental suitability scores for oak community type; ESS_Mesquite_CGMid_avg.asc = 2040-2069 CGCM MAXENT environmental suitability scores for mesquite community type; ESS_Mesquite_CGLate_avg.asc = 2070-2099 CGCM MAXENT environmental suitability scores for mesquite community type; ESS_Mesquite_GFDLMid_avg.asc = 2040-2069 GFDL MAXENT environmental suitability scores for mesquite community type; ESS_Mesquite_GFDLLate_avg.asc = 2070-2099 GFDL MAXENT environmental suitability scores for mesquite community type; ESS_Mesquite_HadMid_avg.asc = 2040-2069 HadCM3 MAXENT environmental suitability scores for mesquite community type; ESS_Mesquite_GFDLLate_avg.asc = 2070-2099 HadCM3 MAXENT environmental suitability scores for mesquite community type; ESS_Pinyon-Juniper_CGMid_avg.asc = 2040-2069 CGCM MAXENT environmental suitability scores for pinyon-juniper community type; ESS_Pinyon-Juniper_CGLate_avg.asc = 2070-2099 CGCM MAXENT environmental suitability scores for pinyon-juniper community type; ESS_Pinyon-Juniper_GFDLMid_avg.asc = 2040-2069 GFDL MAXENT environmental suitability scores for pinyon-juniper community type; ESS_Pinyon-Juniper_GFDLLate_avg.asc = 2070-2099 GFDL MAXENT environmental suitability scores pinyon-juniper community type; ESS_Pinyon-Juniper_HadMid_avg.asc = 2040-2069 HadCM3 MAXENT environmental suitability scores for pinyon-juniper community type; ESS_Pinyon-Juniper_GFDLLate_avg.asc = 2070-2099 HadCM3 MAXENT environmental suitability scores for pinyon-juniper community type; Citation: Phillips, S.J., M. Dudik, and R.E. Schapire. 2011. MAXENT software for modeling species niches and distributions, Version 3.3.3k. American Museum of Natural History, New York, New York, USA.
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Purpose
The data were generated in order to develop reference period (1900-1929) and projected future (2040-2069) and (2070-2099) environmental suitability models, generating potential future locations of fire-climate conditions suitable for each community type.
