Taking　Dali　Bai　Autonomous　Prefecture　as　an　example,　the　study　assesses　ecological　risk　of　landslide　geological　disasters　in　terms　of　risk　stressors,　risk　receptors,　exposure　and　response　process,　and　ecological　end　points.　To　be　specific,　firstly,　the　information　method　is　used　to　evaluate　the　hazard　of　landslide　disasters.　Secondly,　ecological　vulnerability　is　evaluated　based　on　landscape　pattern　metrics.　Thirdly,　the　potential　ecological　damage　of　the　study　area　is　identified　according　to　the　ecosystem　service　assessment.　Finally,　the　ecological　risk　of　landslide　disasters　is　comprehensively　evaluated,　and　the　partitions　of　risk　precaution　and　governance　are　distinguished.　The　results　show　that,　(1)　10　aspects　including　geography,　geology　and　human　activity　factors,　such　as　elevation　less　than　1800　m,　slope　within　15°-25°,　NDVI　less　than　0.31,　are　the　best　information　combination　for　inducing　landslide　geographical　disasters　in　Dali　Prefecture.　As　to　the　hazard　of　landslide　geological　disasters,　the　whole　Dali　prefecture　is　generally　at　medium　and　high　risk　levels　of　landslide　and　debris　flow　disasters.　And　the　risk　of　northwest　is　lower　than　that　of　southeast;　(2)　the　areas　with　high　ecological　vulnerability　are　mainly　concentrated　in　the　south　of　the　Red　River　watershed,　southeast　of　the　Jinsha　River　watershed　and　the　central　part　of　the　Lancang　River　watershed.　Watersheds　with　low　ecological　damage　have　relatively　poor　water　conservation　service　and　food　supply　service.　Watersheds　with　medium　ecological　damage　have　obvious　advantage　in　providing　net　primary　production　and　soil　conservation　service.　Watersheds　with　high　ecological　damage　would　have　relatively　strong　food　supply　and　water　conservation　service;　(3)　the　ecological　risk　of　landslide　disasters　in　Dali　Prefecture　presented　3　levels　and　8　types　of　risk　structures.　Then　367　small　watersheds　were　divided　into　4　partitions　of　risk　prevention　and　governance　strategies,　i.e.,　risk　avoidance　and　warning　areas,　ecological　protection　and　restoration　areas,　risk　avoidance　as　well　as　ecological　protection　areas,　and　natural　adaption　areas.　©　2016,　Science　Press.　All　right　reserved.