Scientific　decision　is　normally　based　on　the　scientific　data　or　valid　information.　The　forest　carbon　sinks　information　of　Fujian　Province,　China　was　simulated　by　the　boreal　ecosystem　productivity　simulator　(BEPS)　and　validated　by　the　field　measurement　sample　from　other　researchers.　Then　the　forest　net　ecosystem　productivity　(NEP)　information　was　used　to　analyze　the　low　carbon　development　situation　of　Fujian,　with　the　gross　domestic　products　(GDP)　and　energy　consumption　data.　Finally,　the　valuable　information　was　concluded:　that　the　environment　Kuznets　curve　(EKC)　was　not　supported　by　energy　consumption　(or　carbon　balance　amount)　-　GDP　correlation　analysis,　while　the　U　curve　between　GDP　-　carbon　balance　amount　was　discovered,　and　approximately　45%　counties　or　cities　in　Fujian　were　proved　＇low　carbon　cities＇.　This　information　may　provide　important　incentive　to　local　government　for　scientific　decision　making　in　regional　low　carbon　development　in　Fujian　under　global　warming　background,　for　example　promoting　forest　carbon　activities　and　＇low　carbon　city＇.　©　2010　IEEE.