Liang Si Qi, Peng Shou Zhang, Chen Yun Ming
Institute of Soil and Water Conservation, Northwest A&F University, Yangling 712100, Shaanxi, China.
Stake Key Laboratory of Soil Erosion and Dryland Farming on Loess Plateau, Northwest A&F University, Yangling 712100, Shaanxi, China.
Ying Yong Sheng Tai Xue Bao. 2019 Sep;30(9):2892-2902. doi: 10.13287/j.1001-9332.201909.022.
We analyzed the changes of net primary productivity (NPP) and net ecosystem productivity (NEP) of Quercus spp. forest and Robinia pseudoacacia plantation under different future climate scenarios in Shaanxi Province during 2015-2100, using the process-based dynamic vegetation model-LPJ-GUESS. The results showed that compared with the benchmark period (1961-1990), NPP of Quercus spp. forest and R. pseudoacacia plantation in northern Shaanxi would decrease by 4.9%-29.5% and 22.5%-56.2% respectively, while that in Guanzhong and southern Shaanxi would increase by 13.0%-49.0% and 21.3%-62.9% respectively in the future. The NPP of Quercus spp. forest and R. pseudoacacia plantation under the RCP scenario was the highest, followed by that under the RCP and RCP scenarios. Those two types of forest would be carbon sink in three subregions in the future. Quercus spp. forest would have stronger carbon sink function in nor-thern Shaanxi and Guanzhong, while R. pseudoacacia plantation would have stronger carbon sink function in Southern Shaanxi. Under different RCP scenarios, the NEP variation range of R. pseu-doacacia plantation was greater than that of Quercus spp. forest in three subregions.
我们利用基于过程的动态植被模型LPJ-GUESS,分析了2015-2100年陕西省不同未来气候情景下栎属森林和刺槐人工林的净初级生产力(NPP)和净生态系统生产力(NEP)变化。结果表明,与基准期(1961-1990年)相比,陕北栎属森林和刺槐人工林的NPP将分别下降4.9%-29.5%和22.5%-56.2%,而关中地区和陕南地区的NPP未来将分别增加13.0%-49.0%和21.3%-62.9%。RCP情景下栎属森林和刺槐人工林的NPP最高,其次是RCP和RCP情景下的。未来这两种森林类型在三个子区域将成为碳汇。陕北和关中地区栎属森林的碳汇功能更强,而陕南地区刺槐人工林的碳汇功能更强。在不同的RCP情景下,三个子区域刺槐人工林的NEP变化范围大于栎属森林。