Land　use　change　is　one　of　the　crucial　factors　affecting　carbon　emissions.　The　continuously　increasing　CO2　and　global　warming　have　raised　concerns　about　carbon　emission　reduction　in　the　process　of　urbanization.　In　this　research,　the　Markov　and　multi-objective　optimization　models　were　conducted　to　predict　the　demands　for　land　use　in　Nanjing　in　2030　and　2060　under　the　natural　growth　(NG)　and　minimum　carbon　emission　(MCE)　scenarios　to　coordinate　the　needs　of　economic　development,　ecological　protection　and　food　security　as　well　as　the　target　of　carbon　emissions　reduction　in　the　future.　The　spatial　distribution　of　land　use　simulated　by　the　FLUS　(Future　Land　Use　Simulation)　model　was　used　to　evaluate　the　effects　of　future　land　use　on　carbon　emissions.　The　results　showed　that　1)　The　demands　for　each　type　of　land　use　in　the　NG　scenario　were　significantly　different　from　those　in　the　MCE　scenario.　Considering　the　goals　of　food　security　and　ecological　protection　in　the　future,　the　total　amount　of　cultivated　land　would　not　decrease　in　the　MCE　scenario,　and　the　area　of　construction　land　was　significantly　smaller　than　that　in　the　NG　scenario.　2)　The　carbon　emissions　of　Nanjing　under　the　MCE　scenario　would　decrease　by　3.94　and　11.80　million　tons　in　2030　and　2060,　respectively,　accounting　for　9.97%　and　27.17%　of　the　total　carbon　emissions.　The　optimization　of　land　use　patterns　can　effectively　reduce　carbon　emissions　in　the　process　of　urbanization.