A　detailed　knowledge　on　the　spatial　distribution　of　pests　is　crucial　for　predicting　population　outbreaks　or　developing　control　strategies　and　sustainable　management　plans.　The　diamondback　moth,　Plutella　xylostella,　is　one　of　the　most　destructive　pests　of　cruciferous　crops　worldwide.　Despite　the　abundant　research　on　the　species＇s　ecology,　little　is　known　about　the　spatio-temporal　pattern　of　P.　xylostella　in　an　agricultural　landscape.　Therefore,　in　this　study,　the　spatial　distribution　of　P.　xylostella　was　characterized　to　assess　the　effect　of　landscape　elements　in　a　fine-scale　agricultural　landscape　by　geostatistical　analysis.　The　P.　xylostella　adults　captured　by　pheromone-baited　traps　showed　a　seasonal　pattern　of　population　fluctuation　from　October　2015　to　September　2017,　with　a　marked　peak　in　spring,　suggesting　that　mild　temperatures,　15-25　degrees　C,　are　favorable　for　P.　xylostella.　Geostatistics　(GS)　correlograms　fitted　with　spherical　and　Gaussian　models　showed　an　aggregated　distribution　in　21　of　the　47　cases　interpolation　contour　maps.　This　result　highlighted　that　spatial　distribution　of　P.　xylostella　was　not　limited　to　the　Brassica　vegetable　field,　but　presence　was　the　highest　there.　Nevertheless,　population　aggregations　also　showed　a　seasonal　variation　associated　with　the　growing　stage　of　host　plants.　GS　model　analysis　showed　higher　abundances　in　cruciferous　fields　than　in　any　other　patches　of　the　landscape,　indicating　a　strong　host　plant　dependency.　We　demonstrate　that　Brassica　vegetables　distribution　and　growth　stage,　have　dominant　impacts　on　the　spatial　distribution　of　P.　xylostella　in　a　fine-scale　landscape.　This　work　clarified　the　spatio-temporal　dynamic　and　distribution　patterns　of　P.　xylostella　in　an　agricultural　landscape,　and　the　distribution　model　developed　by　geostatistical　analysis　can　provide　a　scientific　basis　for　precise　targeting　and　localized　control　of　P.　xylostella.