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Envirometrix · Mar 13, 2019 · 4f82bf7 · 4f82bf7
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diff --git a/07-Soil_organic_carbon.Rmd b/07-Soil_organic_carbon.Rmd
@@ -208,7 +208,7 @@ knitr::include_graphics("figures/Fig_standard_soil_profiles_SOC_calc.png")
 
 ## Estimation of Bulk Density using a globally-calibrated PTF
 
-Where values for bulk density are missing, and no local PTF exists, WoSIS points (global compilation of soil profiles) can be used to fit a PTF that can fill-in gaps in bulk density measurements globally. A regression matrix extracted on 15th of May 2017 (and which contains harmonized values for BD, organic carbon content, pH, sand and clay content, depth of horizon and USDA soil type at some 20,000 soil profiles world-wide), can be fitted using a random forest model (see also @ramcharan2017soil):
+Where values for bulk density are missing, and no local PTF exists, WoSIS points (global compilation of soil profiles) can be used to fit a PTF that can fill-in gaps in bulk density measurements globally. A regression matrix extracted on 15th of May 2017 (and which contains harmonized values for BD, organic carbon content, pH, sand and clay content, depth of horizon and USDA soil type at some 20,000 soil profiles world-wide), can be fitted using a random forest model (see also @Ramcharan2017):
 
 ```{r}
 dfs_tbl = readRDS("extdata/wosis_tbl.rds")

diff --git a/refs.bib b/refs.bib
@@ -5510,24 +5510,13 @@ @Article{doi:10.1093/bioinformatics/btw765
 }
 
 @Article{Ramcharan2017,
-  Title                    = {A Soil Bulk Density Pedotransfer Function Based on Machine Learning: A Case Study with the NCSS Soil Characterization Database},
+  Title                    = {{A Soil Bulk Density Pedotransfer Function Based on Machine Learning: A Case Study with the NCSS Soil Characterization Database}},
   Author                   = {Ramcharan, Amanda and Hengl, Tomislav and Beaudette, Dylan and Wills, Skye},
   Journal                  = {Soil Science Society of America Journal},
   Year                     = {2017},
   Number                   = {6},
   Pages                    = {1279--1287},
-  Volume                   = {81},
-  Publisher                = {The Soil Science Society of America, Inc.}
-}
-
-@Article{ramcharan2017soil,
-  Title                    = {Soil Property and Class Maps of the Conterminous US at 100 meter Spatial Resolution based on a Compilation of National Soil Point Observations and Machine Learning},
-  Author                   = {Ramcharan, Amanda and Hengl, Tomislav and Nauman, Travis and Brungard, Colby and Waltman, Sharon and Wills, Skye and Thompson, James},
-  Journal                  = {Soil Science Society of America Journal},
-  Year                     = {2018},
-  Pages                    = {186-201},
-  Volume                   = {82},
-  Doi                      = {10.2136/sssaj2017.04.0122}
+  Volume                   = {81}
 }
 
 @Article{ramcharan2018soil,
@@ -5537,7 +5526,8 @@ @Article{ramcharan2018soil
   Year                     = {2018},
   Pages                    = {186-201},
   Volume                   = {82},
-  Publisher                = {The Soil Science Society of America, Inc.}
+  Publisher                = {The Soil Science Society of America, Inc.},
+  Doi                      = {10.2136/sssaj2017.04.0122}
 }
 
 @Article{raup2007glims,