Lignocellulosic bioenergy crops are a potential option for climate mitigation and for meeting the targets of the Paris Agreement in Europe. The PopFor process-based model has been developed based on the earlier MiscanFor model and parameterised for poplar using data from a literature review in combination with experimental data on high performing clones Max 1, 3, 4 for extensively and intensively managed sites in Germany. PopFor needs comparatively few input data to provide accurate estimates of biomass yield. The parameters found allowed a good match to measured values. The best fit for bud emergence is 81 °days (base 5), with leaf emergence at 463 °days (base 5) and the temperature at which photosynthesis slows is 28 °C. Maximum radiation use efficiency was set to 2.9 gMJ⁻¹. The air temperature threshold that kills crop was set at −37 °C with the number of days below this threshold that kills the crop set at 90 days. 30 days below wiltpoint was set as a threshold that kills the crop from drought. It was found that plant available water was the key explanatory variable in predicting yield and access to groundwater explained 97% of the yield variation between the sites. The results show that the model estimates the yield of poplar after the establishment phase with a mean difference of 0.27 DM t ha⁻¹ y⁻¹ (r² 0.99, n29, F = 4.18, p < 0.05 with RMSE = 19.68%). PopFor was shown to be an effective model for predicting yields under different soil conditions.

木质纤维素生物能源作物是缓解气候变化和实现欧洲《巴黎协定》目标的潜在选择。基于PopFor过程的模型是在较早的MiscanFor模型的基础上开发的，并使用文献综述中的数据与德国广泛和集约化管理站点的高性能克隆Max 1、3、4的实验数据相结合，针对杨树进行了参数化。PopFor需要相对较少的输入数据来提供生物质产量的准确估算。找到的参数可以与测量值很好地匹配。最适合芽出芽的时间是81°d（以5为基数），叶片出芽是463°d（以5为基数），光合作用减慢的温度为28°C。最大辐射使用效率设置为2.9 gMJ ^-1。杀死农作物的空气温度阈值设置为-37°C，低于杀死农作物的阈值的天数设置为90天。设定了低于枯点30天的阈值，该阈值使农作物因干旱而死亡。发现植物可用水是预测产量的关键解释变量，而地下水的获取解释了两地之间产量变化的97％。结果表明，该模型估算了建立阶段后的杨树产量，平均差异为0.27 DM t ha ^-1 y ^-1（r ² 0.99，n29，F = 4.18，p <0.05，RMSE = 19.68％）。事实证明，PopFor是预测不同土壤条件下产量的有效模型。