Data from: Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland

Wilson CH, Caughlin TT, Rifai SW, Boughton EH, Mack MC, Flory SL

Date Published: April 3, 2017

DOI: http://dx.doi.org/10.5061/dryad.266m0

 

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Title EVI Matrices and Julian Days, Buck Island Ranch
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Description This RData file contains a list called 'EVImatlist' which contains 4 components. The first two are matrices with LEDAPS filtered surface reflectance calculated EVI from Landsat 5 platform for 57 soil sampling points across pastures at Buck Island Ranch (Lake Placid, FL, USA). Matrix one contains a column for every day in the date range accessed (n = 426), whereas matrix two summarizes the EVI per year. NA's represent cells where the LEDAPS algorithm filtered out cloud and/or shadow contamination. Associated with the daily matrix, there is a vector called 'jd' that contains the julian day for that acquisition, and associated with the yearly matrix, there is a vector called 'yr' that represents the year summarized.
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Title Soil carbon stock (0-15cm)
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Description This data file contains a data frame called 'soil_fert1a' which contains soil carbon, various fertility parameters, LiDAR derived elevation, and mean vegetation greenness (from EVI across 28 years) for each of 57 soil samples collected from across Buck Island Ranch (Lake Placid, FL). The bulk-density corrected estimate of soil carbon stock is in the column called 'c_stock'. These values are based on a single sample from a hammer core taken to 15cm depth. Samples were oven-dried, weighed to assess bulk density, and analyzed for SOC/SON via EA at the University of Florida. Fertility parameters were assessed at the University of Florida extension soil testing laboratory using the Mehlich III extraction. The first appearance of each parameter represents raw data on original scale, while the second appearance, denoted by _std label, represents value after standardization onto a N(0,0.5) scale.
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Title Soil carbon concentration (0-5cm)
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Description This data file contains a data frame called 'soil_fert2a' which contains soil carbon concentration in the 0-5cm depth fraction, various fertility parameters, LiDAR derived elevation, and mean vegetation greenness (from EVI across 28 years) for each of 57 soil samples collected from across Buck Island Ranch (Lake Placid, FL). The soil carbon concentration is in column called ‘C_05’. These values are based on a composite sample from 12 subsamples representing the top 5 cm fraction at each sampled point. Samples were oven-dried and analyzed for SOC/SON via EA at the University of Florida. Fertility parameters were assessed at the University of Florida extension soil testing laboratory using the Mehlich III extraction. The first appearance of each parameter represents raw data on original scale, while the second appearance, denoted by _std label, represents value after standardization onto a N(0,0.5) scale.
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Title Soil carbon concentration (5-15cm)
Downloaded 1 time
Description This data file contains a data frame called 'soil_fert3a' which contains soil carbon concentration in the 5-15cm depth fraction, various fertility parameters, LiDAR derived elevation, and mean vegetation greenness (from EVI across 28 years) for each of 57 soil samples collected from across Buck Island Ranch (Lake Placid, FL). The soil carbon concentration is in column called ‘C_515’. These values are based on a composite sample from 12 subsamples representing the 5-15 cm fraction at each sampled point. Samples were oven-dried and analyzed for SOC/SON via EA at the University of Florida. Fertility parameters were assessed at the University of Florida extension soil testing laboratory using the Mehlich III extraction. The first appearance of each parameter represents raw data on original scale, while the second appearance, denoted by _std label, represents value after standardization onto a N(0,0.5) scale.
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When using this data, please cite the original publication:

Wilson CH, Caughlin TT, Rifai SW, Boughton EH, Mack MC, Flory SL (2017) Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland. Ecological Applications 27(5): 1646-1656. http://dx.doi.org/10.1002/eap.1557

Additionally, please cite the Dryad data package:

Wilson CH, Caughlin TT, Rifai SW, Boughton EH, Mack MC, Flory SL (2017) Data from: Multi-decadal time series of remotely sensed vegetation improves prediction of soil carbon in a subtropical grassland. Dryad Digital Repository. http://dx.doi.org/10.5061/dryad.266m0
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