diff --git a/NAMESPACE b/NAMESPACE
index 6f2797d8..d3cc5060 100644
--- a/NAMESPACE
+++ b/NAMESPACE
@@ -36,7 +36,6 @@ importFrom(dplyr,case_when)
 importFrom(dplyr,count)
 importFrom(dplyr,desc)
 importFrom(dplyr,distinct)
-importFrom(dplyr,distinct_)
 importFrom(dplyr,do)
 importFrom(dplyr,enquo)
 importFrom(dplyr,filter)
@@ -47,7 +46,6 @@ importFrom(dplyr,if_else)
 importFrom(dplyr,inner_join)
 importFrom(dplyr,left_join)
 importFrom(dplyr,mutate)
-importFrom(dplyr,mutate_all)
 importFrom(dplyr,mutate_if)
 importFrom(dplyr,n)
 importFrom(dplyr,n_distinct)
@@ -103,9 +101,7 @@ importFrom(mgcv,nb)
 importFrom(mgcv,summary.gam)
 importFrom(plotly,ggplotly)
 importFrom(plotly,layout)
-importFrom(purrr,cross_df)
 importFrom(purrr,list_along)
-importFrom(purrr,map)
 importFrom(purrr,map2)
 importFrom(purrr,map2_chr)
 importFrom(purrr,map_chr)
diff --git a/R/gbif_has_distribution.R b/R/gbif_has_distribution.R
index 16198cdf..9b504d9f 100644
--- a/R/gbif_has_distribution.R
+++ b/R/gbif_has_distribution.R
@@ -11,10 +11,7 @@
 #' occurrenceStatus) and establishmentMeans.
 #' @return a logical, TRUE or FALSE.
 #' @export
-#' @importFrom assertthat assert_that
-#' @importFrom rgbif name_usage
-#' @importFrom dplyr select %>% distinct_ mutate_all
-#' @importFrom purrr map cross_df
+#' @importFrom dplyr %>%
 #' @examples
 #' # numeric taxonKey, atomic parameters
 #' gbif_has_distribution(145953242,
@@ -115,13 +112,13 @@ gbif_has_distribution <- function(taxon_key, ...) {
         return(FALSE)
       } else {
         # Avoid mismatch due to any upper/lowercase difference
-        user_properties <- map(user_properties, ~ toupper(.))
-        # Check whether at least
+        user_properties <- purrr::map(user_properties, ~ toupper(.))
+        # Check whether at least one property defined by user is present
         has_distr <- dplyr::intersect(
           user_properties %>%
-            cross_df(),
+            purrr::cross_df(),
           distr_properties %>%
-            select(names(user_properties)) %>%
+            dplyr::select(names(user_properties)) %>%
             dplyr::distinct() %>%
             dplyr::mutate(dplyr::across(.cols = everything(), toupper))
         ) %>%