Effective　planning　of　resources　management　is　important　for　facilitating　socio-economic　development　and　eco-environmental　sustainability.　Such　a　planning　effort　is　complicated　with　a　variety　of　uncertain,　dynamic　and　nonlinear　factors　as　well　as　their　interactions.　In　this　study,　an　inexact-stochastic　quadratic　programming　with　recourse　(ISQP-R)　method　is　developed　for　reflecting　dynamics　of　system　uncertainties　based　on　a　complete　set　of　scenarios　as　well　as　tackling　nonlinearities　in　the　objective　function　to　reflect　the　effects　of　marginal　utility　on　system　benefits　and　costs.　Moreover,　since　penalties　are　exercised　with　recourse　against　any　infeasibility,　the　ISQP-R　can　support　the　analysis　of　various　policy　scenarios　that　are　associated　with　different　levels　of　economic　consequences　when　the　promised　targets　are　violated.　The　developed　method　is　applied　to　a　case　study　of　planning　resources　management　and　developing　regional　ecological　sustainability.　The　results　have　been　generated　and　are　helpful　for　decision　makers　in　not　only　identifying　desired　resources-allocation　strategies　but　also　gaining　insight　into　the　tradeoff　between　economic　objective　and　eco-environment　violation　risk.　(C)　2009　Elsevier　B.V.　All　rights　reserved.