Improving　urban　resilience　(UR)　and　natural　capital　utilization　are　critical　for　supporting　regional　sustainable　development.　However,　most　of　the　previous　studies　have　separately　assessed　them,　and　their　coupling　mechanism　is　still　unclear.　This　study　develops　a　cloud　model　-based　urban　resilience　(UR)　assessment　framework　to　explore　the　dynamic　evolution　of　UR　in　the　three　typical　urban　agglomerations　of　the　Yangtze　River　Economic　Belt　(YREB).　Natural　capital　utilization　is　analyzed　by　an　improved　ecological　footprint　(EF　3D　)　model.　Coupling　Coordination　Degree　(CCD)　and　Environmental　Kuznets　Theory　(EKC)　are　integrated　for　revealing　the　relationship　between　UR　and　natural　capital　utilization.　Results　show　that　UR　in　the　YREB　shows　an　increasing　trend　with　an　average　annual　rate　of　1.33%,　and　there　is　a　significant　difference　in　the　sub　-dimensions　of　UR.　Water　system　resilience　generally　has　a　positive　impact　on　UR　in　the　early　periods,　but　its　impact　later　becomes　negative,　with　over　45%　of　all　cities＇　UR　being　negatively　affected　by　water　system　resilience.　The　spatial　distribution　of　EF　3D　shows　a　decentralized　trend　in　the　YREB.　The　consumption　of　resource　stocks　represented　by　ecological　footprint　depth　increases　during　the　period　from　2000　to　2015,　with　increase　rates　of　1.09%,　4.73%,　and　3.42%　for　the　upstream,　midstream,　and　downstream　urban　agglomerations,　respectively.　The　CCD　between　UR　and　natural　capital　utilization　increases　from　an　intermediate　coordination　stage　to　a　well　-coordinated　stage.　The　EKC　analysis　discloses　that　UR　and　natural　capital　utilization　present　inverted　U-shaped　curves　in　three　urban　agglomerations　with　spatial　differences.　The　inflection　point　of　UR　in　the　upstream　is　earlier　(in　2008)　than　that　in　the　midstream　(in　2014)　and　downstream　(in　2015)　urban　agglomerations.　Findings　can　help　quantify　the　development　space　for　each　city　to　enter　into　coordinated　development　in　the　future.