diff --git a/src/OctreeDistributedDiscreteModels.jl b/src/OctreeDistributedDiscreteModels.jl
index 8e6be90..193ffbd 100644
--- a/src/OctreeDistributedDiscreteModels.jl
+++ b/src/OctreeDistributedDiscreteModels.jl
@@ -1432,12 +1432,16 @@ function _refine_coarsen_balance!(model::OctreeDistributedDiscreteModel{Dc,Dp},
 end 
 
 function Gridap.Adaptivity.adapt(model::OctreeDistributedDiscreteModel{Dc,Dp}, 
-		                 refinement_and_coarsening_flags::MPIArray{<:Vector{Cint}};
+		                             refinement_and_coarsening_flags::MPIArray{<:Vector{<:Integer}};
                                  parts=nothing) where {Dc,Dp}
 
   Gridap.Helpers.@notimplementedif parts!=nothing
+
+  _refinement_and_coarsening_flags = map(refinement_and_coarsening_flags) do flags
+    convert(Vector{Cint},flags)
+   end 
   
-  ptr_new_pXest = _refine_coarsen_balance!(model, refinement_and_coarsening_flags)
+  ptr_new_pXest = _refine_coarsen_balance!(model, _refinement_and_coarsening_flags)
 
   # Extract ghost and lnodes
   ptr_pXest_ghost  = setup_pXest_ghost(Val{Dc}, ptr_new_pXest)
@@ -1457,7 +1461,7 @@ function Gridap.Adaptivity.adapt(model::OctreeDistributedDiscreteModel{Dc,Dp},
   adaptivity_glue = _compute_fine_to_coarse_model_glue(model.parts,
                                                         model.dmodel,
                                                         fmodel,
-                                                        refinement_and_coarsening_flags)
+                                                        _refinement_and_coarsening_flags)
   adaptive_models = map(local_views(model),
                         local_views(fmodel),
                         adaptivity_glue) do model, fmodel, glue 
diff --git a/test/PoissonNonConformingOctreeModelsTests.jl b/test/PoissonNonConformingOctreeModelsTests.jl
index 4b32b05..4cb62bd 100644
--- a/test/PoissonNonConformingOctreeModelsTests.jl
+++ b/test/PoissonNonConformingOctreeModelsTests.jl
@@ -39,7 +39,7 @@ module PoissonNonConformingOctreeModelsTests
     reffe=ReferenceFE(lagrangian,T,order)
     VH=FESpace(dmodel,reffe;dirichlet_tags="boundary")
     UH=TrialFESpace(VH,u)
-     ref_coarse_flags=map(ranks,partition(get_cell_gids(dmodel.dmodel))) do rank,indices
+    ref_coarse_flags=map(ranks,partition(get_cell_gids(dmodel.dmodel))) do rank,indices
         flags=zeros(Cint,length(indices))
         flags.=nothing_flag
         
@@ -176,7 +176,7 @@ module PoissonNonConformingOctreeModelsTests
 
     degree = 2*order+1
     ref_coarse_flags=map(ranks,partition(get_cell_gids(dmodel.dmodel))) do rank,indices
-        flags=zeros(Cint,length(indices))
+        flags=zeros(Int,length(indices))
         flags.=nothing_flag        
         if (rank==1)
            flags[1:2^Dc].=coarsen_flag