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Development of the daycent-photo model and integration of variable photosynthetic capacity

Frontiers of Earth Science 2018年第4期12卷 765-778页

作者： Jonathan R.STRAUBE Maosi CHEN William J.PARTON Shinichi ASSO Yan-An LIU Dennis S.OJIMA Wei GAO USDA UV-B Monitoring and Research Program Natural Resource Ecology LaboratoryColorado State UniversityFort CollinsCO 80521USA Natural Resource Ecology Laboratory.Colorado State University Fort CollinsCO 80523USA Key Laboratory of Geographic Information Science (Ministry of Education) East China Normal UniversityShanghai 200241China School of Geographic Sciences East China Normal UniversityShanghai 200241China ECNU-CSU Joint Research Institute for New Energy and the Environment Shanghai 200062China Department of Ecosystem Science and Sustainability Colorado State UniversityFort CollinsCO 80523USA

We integrated a photosynthetic sub-model into the daily Century model (daycent) to improve the estimations of seasonal changes in carbon fluxes at the Niwot Ridge LTER site and the Harvard forest LTER site (daycent-photo). The photosynthetic sub-model, adapted from the SIPNET/PnET family of models, includes solar radiation and vapor pressure deficit controls on production, as well as temperature and water stress terms. A key feature we added to the base photosynthetic equations is the addition of a variable maximum net photosynthetic rate (Amax). We optimized the parameters controlling photosynthesis using a variation of the Metropolis-Hastings algorithm along with data-assimilation techniques. The model was optimized and validated against observed net ecosystem exchange (NEE) and estimated gross primary production (GPP) and ecosystem respiration (RESP) values for AmeriFlux sites at Niwot Ridge and Harvard forest. The inclusion of a variable Amax rate greatly improved model performance (NEE RMSE = 0.63 gC·m–2, AIC = 2099) versus a version with a single Amax parameter (NEE RMSE = 0.74 gC·m–2, AIC = 3724). daycent-photo was able to capture the inter-annual and seasonal flux patterns for NEE, GPP, ecosystem respiration (RESP), and daily actual evapotranspiration (AET), but tended to overestimate yearly NEE uptake. The daycent-photo model has been successfully set up to simulate daily NEE, GPP, RESP, and AET for deciduous forest, conifer forests, and grassland systems in the US using AmeriFlux data sets and has recently been improved to include the impact of UV radiation surface litter decay (daycent-UV). The simulated influence of a variable Amax rate suggests a need for further studies on the process controls affecting the seasonal photosynthetic rates. The results for all of the forest and grassland sites show that maximum Amax values occurs early during the growing period and taper off toward the end of the growing season.

关键词： daycent-photo model seasonal maximum net photosynthetic rate net ecosystem exchange gross primary production UV radiation

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