林业科学2024，Vol.60Issue(7)：28-39,12.DOI:10.11707/j.1001-7488.LYKX20230296
辽西地区樟子松人工林生产力和水分利用效率对气候变化的响应及预测
Response and Prediction of Productivity and Water Use Efficiency of Pinus sylvestris var.mongolica Plantations in Western Liaoning Province to Climate Change
摘要
Abstract
[Objective]This study aims to predict the changes in gross primary productivity(GPP)and inherent water use efficiency(iWUE)of Pinus sylvestris var.mongolica plantations in Heishui forest station in western Liaoning Province under future different climatic conditions.[Method]A sensitivity analysis was conducted on the parameters affecting GPP and evapotranspiration(ET)in the BIOME-BGC model.Parameter estimation(PEST)combined with eddy covariance data of GPP was used to adjust the model parameters,to obtain the simulated gross primary productivity(GPPm)and simulated inherent water use efficiency(iWUEm).The result of stable isotope measurement was compared with remote sensing data.The responses of GPPm and iWUEm of P.sylvestris var.mongolica in the Heishui forest station to climate change and increasing CO2 concentration by the end of this century were also predicted.[Result]The carbon allocation ratio between fine roots and leaves was a highly sensitive parameter affecting both GPP and ET in the BIOME-BGC model,while the turnover rates of leaves and fine roots were moderately sensitive parameters.After calibration of the sensitive parameters,the simulated values of GPP were closer to the observed values.The simulated iWUEm was significantly correlated with the inherent water use efficiency(iWUEy)obtained by remote sensing and the individual inherent water use efficiency(iWUEd)with isotopic measurement(P<0.05).Under warming,GPPm increased,but under reduced precipitation and increased CO2,GPPm did not change significantly.The iWUEm showed similar trends in different scenarios,but with larger variations.Under the RCP2.6,RCP4.5,and RCP8.5 scenarios,GPPm of P.sylvestris var.mongolica significantly increased compared to the baseline,with significant differences among scenarios.However,iWUEm did not differ significantly from the baseline under RCP2.6 and RCP4.5,but increased significantly under RCP8.5(P<0.01).[Conclusion]The BIOME-BGC model,after calibration,can accurately simulate GPPm and iWUEm of P.sylvestris var.mongolica in the Heishui forest station.The differences in the future trends of GPPm and iWUEm suggest that the response mechanism of iWUE to climate change is more complex than that of GPP,and iWUE is not only influenced by climate change,but also by local site conditions.关键词
BIOME-BGC模型/总初级生产力/内禀水分利用效率/气候响应/情景模式Key words
BIOME-BGC model/gross primary productivity(GPP)/inherent water use efficiency(iWUE)/climate response/scene mode分类
农业科技引用本文复制引用
管崇帆,高翔,李志鹏,胡晓创,胡美均,张劲松,孟平,蔡金峰,孙守家..辽西地区樟子松人工林生产力和水分利用效率对气候变化的响应及预测[J].林业科学,2024,60(7):28-39,12.基金项目
国家重点研发计划项目(2020YFA0608101) （2020YFA0608101）
中央级公益性科研院所基本科研业务费专项资金(CAFYBB2022ZA00102). （CAFYBB2022ZA00102）
