The　Yellow　River　Delta　Nature　Reserve　(YRDNR)　is　a　national　nature　reserve　designed　to　protect　the　newly　built　wetland　ecosystem　and　the　rare　and　endangered　birds.　It　is　one　of　the　fastest　growing　coastal　wetland　ecosystems　around　the　world　and　an　important　site　for　red-crowned　cranes　during　migration　and　wintering　periods.　It　is　an　urgent　task　to　effectively　manage　and　control　resource　utilization　activities　and　protect　the　wetland　habitat　of　red-crowned　cranes　in　the　YRDNR.　Spatial　optimization　model　can　be　applied　to　a　variety　of　spatial　planning　problems　to　identify　trade-offs　between　conflicting　objectives　and　solve　the　optimum　allocation　problem　(such　as　allocation　of　reserve　sites　or　management　actions).　In　this　paper,　we　firstly　had　a　secondary　development　with　C++　language　to　construct　a　land　use　pattern　spatial　optimization　model　based　on　LUPO　(land　use　pattern　optimization)　model　developed　by　Annelie　Holzkamper　et　al.　The　LUPO　model　can　be　applied　to　identify　trade-offs　between　habitat　conservation　of　red-crowned　cranes　and　sustainable　development　of　community　economy　in　the　nature　reserve,　and　to　optimize　allocation　of　land　use　in　YRDNR.　Secondly,　we　designed　3　target-driven　scenarios　according　to　management　requirement　in　YRDNR　to　balance　ecological　protection　and　economic　development.　Finally,　we　simulated　the　spatial　optimization　of　land　use　pattern　in　YNRDR　under　the　3　scenarios　by　integrating　the　scenarios　into　the　LUPO　model.　The　results　showed　as　follows:　1)　Under　Scenario　A,　it　obviously　achieved　the　ecological　conservation　target　with　a　30%　increase　of　suitable　habitat　area　of　red-crowned　crane　by　converting　the　areas　of　reed　ponds　and　mudflats　to　seepweed　tidal　flats　and　Chinese　tamarisk-seepweed　tidal　flats,　which　are　the　birds　preferred　habitats.　However,　the　regional　economic　benefit　had　a　small　increase　of　only　11%;　2)　Under　Scenario　B,　it　achieved　54%　regional　economic　growth　by　converting　the　area　of　farmlands,　reed　ponds　and　mudflats　to　shrimp　ponds,　which　owned　a　highly　economic　value.　In　the　meanwhile,　the　habitat　area　change　of　red-crowned　crane　was　not　obvious,　and　became　more　fragmented　in　Scenario　B;　3)　Under　Scenario　C,　it　achieved　the　target　of　24%　suitable　habitat　area　expansion　of　red-crowned　crane　along　with　41.3%　regional　economic　growth.　It　may　mainly　respectively　result　from　significant　expansion　of　seepweed　tidal　flats　and　shrimp　ponds　converted　from　mudflats　and　farmlands.　In　conclusion,　it　is　more　reasonable　and　practical　under　Scenario　C　than　Scenarios　A　and　B　in　YNRDR　due　to　the　fact　the　trade-off　between　wetland　habitat　conservation　and　sustainable　development　is　comprehensively　considered.　We　consider　that　our　LUPO　model　can　offer　a　good　technique　support　for　habitat　protection　of　red-crowned　crane　and　wetland　landscape　management　in　YRDNR.　However,　we　also　recommend　a　further　secondary　development　of　LUPO　model　to　improve　the　accuracy,　feasibility　and　operability　of　the　model　in　the　future.　©　2017,　Editorial　Department　of　the　Transactions　of　the　Chinese　Society　of　Agricultural　Engineering.　All　right　reserved.