To　address　gaps　in　understanding　how　external　stresses　influence　remote-sensing　inversion　of　vegetation　biochemical　components,　a　P-PROSAIL　model　incorporating　stress　factors　was　developed,　with　Shunchang　County　and　Yanping　District　in　Fujian　Province　as　the　study　areas.　The　models＇　effectiveness　was　assessed,　yielding　R2　values　of　0.7133,　0.7066,　0.6441,　0.6392,　0.6057,　0.7038,　0.5323,　and　0.5149　for　leaf　area　index　(LAI),　canopy　dry　matter　content　(CDMC),　canopy　cellulose　content　(CCC),　canopy　lignin　content　(CLC),　canopy　protein　content　(CPC),　canopy　nitrogen　content　(CNC),　canopy　tannin　content　(CTC),　and　canopy　flavonoid　content　(CFC),　respectively.　While　CDMC　and　most　other　components　showed　stable　inversions,　CTC　and　CFC　exhibited　uncertainties　due　to　pest　stress.　This　study　clarified　the　internal　and　external　change　characteristics　and　mechanisms　of　Moso　bamboo　forests　under　Pantana　phyllostachysae　stress,　providing　empirical　support　for　the　ecological　health　of　bamboo　forests.