Carbon　metabolism　research　has　attracted　worldwide　attention　as　an　important　way　to　cope　with　climate　change,　promote　carbon　emission　reduction,　increase　carbon　sequestration,　and　support　low-carbon　city　construction.　Ecological　network　analysis　(ENA)　plays　an　important　role　in　network　analysis　and　simulation　of　carbon　metabolism.　However,　current　studies　largely　focus　on　single　elements　or　local　processes　while　rarely　analyzing　the　spatial　coupling　between　land　use　and　carbon　metabolism.　Therefore,　taking　Tongzhou　District　as　an　example,　based　on　the　data　of　land　use　change　and　energy　consumption,　this　study　constructed　an　analysis　framework　based　on　ENA　to　explore　the　comprehensive　impact　of　land　use　changes　on　carbon　metabolism.　The　results　show　the　following:　(1)　From　2014　to　2020,　the　total　carbon　emissions　increased　year　by　year.　Carbon　emissions　of　other　construction　land　(OCL)　were　dominant,　while　the　carbon　sequestration　capacity　of　forest　land　(FL)　increased　by　236%.　The　positive　carbon　metabolic　density　remained　relatively　stable,　while　the　negative　carbon　metabolic　density　decreased　year　by　year.　(2)　The　negative　carbon　flow　was　concentrated　in　the　transfer　of　other　land　to　OCL,　accounting　for　40.2%　of　the　total　negative　＂carbon　flow.＂　The　positive　carbon　flow　was　primarily　from　the　transfer　of　other　land　to　FL.　(3)　From　2014　to　2016,　the　spatial　ecological　relationships　of　carbon　flow　were　dominated　by　exploitation　and　control.　From　2016　to　2018,　competition　relationships　intensified　due　to　the　expansion　of　the　field;　from　2016　to　2018,　exploitation　and　control　relationships,　competition　relationships,　and　mutualism　relationships　increased　significantly　and　were　evenly　distributed.　This　study　provides　decision-making　guidance　for　the　subsequent　formulation　of　government　carbon　emission　reduction　policies.