Nitrogen　is　an　important　indicator　of　vegetation　health,　but　the　relationship　between　changes　in　the　leaf　nitrogen　content　of　Moso　bamboo　leaves　under　Pantana　phyllostachysae　Chao　(PPC)　stress　and　leaf　spectra　remains　unclear.　We　analyzed　the　relationship　between　the　leaf　nitrogen　content　and　leaf　spectra　of　Moso　bamboo　leaves　under　PPC　stress　to　investigate　whether　the　relationship　could　be　used　to　detect　pests　and　prevent　their　spread.　We　measured　the　nitrogen　content　and　leaf　spectra　of　Moso　bamboo　leaves　under　different　damage　levels,　identified　spectral　indicators　that　were　correlated　with　leaf　nitrogen　content　(by　removing　the　envelope　and　first-order　differentiation　of　the　raw　spectra),　and　estimated　leaf　nitrogen　content　from　the　spectral　data　using　regression　models.　Leaf　nitrogen　content　decreased　with　increasing　pest　damage,　and　the　leaf　spectral　curves　changed,　with　the　＂green　peak＂　and　＂red　valley＂　in　the　visible　range　disappearing　and　the　slope　of　the　spectral　curve　decreasing.　The　wavelength　region　with　the　strongest　correlation　between　the　nitrogen　content　and　spectral　characteristics　changed　significantly　with　increasing　pest　damage,　and　the　correlation　in　the　red-edge　region　gradually　decreased.　The　fits　of　nitrogen-content　estimation　models　tended　to　decrease　and　then　increase　with　increasing　pest　damage　and　were　worst　among　leaves　in　the　moderate　damage　state　(Mo).　A　disordered　relationship　between　nitrogen　content　and　spectral　characteristics　indicated　possible　PPC　damage.　The　degree　of　disorder　was　greatest　in　the　Mo　state.　This　study　provides　theoretical　support　for　remote　sensing　monitoring　of　PPC　hazards.