Quantitative analysis of impact factors on net primary productivity of Tahe forest based on InTEC model

doi:10.13287/j.1001-9332.201903.009

Abstract

Abstract: Net primary productivity (NPP) is an important character reflecting forest carbon source/sink capability, with the spatial-temporal change of which being affected by meteorological change (air temperature, precipitation, etc.), changes in atmospheric composition (CO₂ concentration, nitrogen deposition) and various disturbances. However, the key factor driving the changes of forest NPP is still unclear. In order to explore this issue, the relationship between NPP and forest age under different site class index (SCI) was re-simulated and embedded the forest fire data in 1987-2015 to simulate the change characteristics of average NPP of Tahe forest from 1901 to 2015 by comprehensively considering the disturbance and non-disturbance factors of InTEC model, nine scenarios were considered to quantitatively analyze the contribution of different influence factors to the changes of NPP in Tahe forest from 1961 to 2015, and to explore the main influencing factors of the interannual and chronological changes of the Tahe forest NPP to provide a guiding strategy for forest management. The results showed that NPP in Tahe forest was relatively stable from 1901 to 1960, but had a significant trend with the disturbance factors after 1960. The embedding of forest fire and SCI data had different effects on the distribution characteristics of NPP at different times. After 1960, the main reason for the significant change of NPP in Tahe forest was stand age and fire disturbance, with an average annual contribution rate of -49%, followed by precipitation and CO₂, which were -28% and 17% respectively. The average contribution rates of temperature and nitrogen deposition were only 5% and 1%, respectively.

Key words: CO₂, forest age, nitrogen deposition, forest fire, InTEC model, net primary productivity, climate change

SUN Jing, FAN Wen-yi, YU Ying, WANG Bin, CHEN Chen. Quantitative analysis of impact factors on net primary productivity of Tahe forest based on InTEC model[J]. Chinese Journal of Applied Ecology, 2019, 30(3): 793-804.

References

[1] Houghton RA. Balancing the global carbon budget. Annual Review of Earth and Planetary Sciences, 2007, 35: 313-347
[2] Ruimy A, Saugier B, Dedieu G. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research Atmospheres, 1994, 99: 5263-5283
[3] Petritsch R, Hasenauer H, Pietsch SA. Incorporating forest growth response to thinning within biome-BGC. Forest Ecology and Management, 2007, 242: 324-336
[4] Liang W, Yang Y, Fan D, et al. Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010. Agricultural and Forest Meteorology, 2015, 204: 22-36
[5] Chen JM, Liu J, Cihlar J, et al. Daily canopy photosynthesis model through temporal and spatial scaling for remote sensing applications. Ecological Modelling, 1999, 124: 99-119
[6] Feng X-F (冯险峰), Liu G-H (刘高焕), Chen S-P (陈述彭), et al. Study on process model of net primary productivity of terrestrial ecosystems. Journal of Natural Resources (自然资源学报), 2004, 19(3): 369-378 (in Chinese)
[7] Dufresne J-L, Friedlingstein P, Berthelot M, et al. On the magnitude of positive feedback between future climate change and the carbon cycle. Geophysical Research Letters, 2002, 29: 1-4
[8] Canadell JG, Raupach MR. Managing forests for climate change mitigation. Science, 2008, 320: 1456-1457
[9] Pan Y, Birdsey R, Hom J, et al. Separating effects of changes in atmospheric composition, climate and landuse on carbon sequestration of US Mid-Atlantic tempe-rate forests. Forest Ecology and Management, 2009, 259: 151-164
[10] Lindner M, Maroschek M, Netherer S, et al. Climate change impacts, adaptive capacity, and vulnerability of European forest ecosystems. Forest Ecology and Management, 2010, 259: 698-709
[11] Masek J, Collatz GJ. Estimating forest carbon fluxes in a disturbed southeastern landscape: Integration of remote sensing, forest inventory, and biogeochemical modeling. Journal of Geophysical Research, 2006, 111: 670-674
[12] Coursolle C, Margolis HA, Giasson MA, et al. Influen-ce of stand age on the magnitude and seasonality of carbon fluxes in Canadian forests. Agricultural & Forest Meteorology, 2012, 165: 136-148
[13] Chen W, Chen J, Liu J, et al. Approaches for reducing uncertainties in regional forest carbon balance. Global Biogeochemical Cycles, 2000, 14: 827-838
[14] Zhang F, Chen JM, Pan Y, et al. Attributing carbon changes in conterminous U.S. forests to disturbance and non-disturbance factors from 1901 to 2010. Journal of Geophysical Research Biogeosciences, 2015, 117: 109-119G
[15] Yu Y (于颖). Based on InTEC Model to Research the Time and Space Distribution of Carbon Source/Sink of Northeastern Forest. PhD Thesis. Harbin: Northeast Forestry University, 2013 (in Chinese)
[16] Li M-Z (李明泽), Wang B (王斌), Fan W-Y (范文义), et al. Simulation of forest net primary production and the effects of fire disturbance in Northeast China. Chinese Journal of Plant Ecology (植物生态学报), 2015, 39(4): 322-332 (in Chinese)
[17] Li D-Q (李登秋), Zhang C-H (张春华), Ju W-M (居为民). Forest net primary productivity dynamics and driving forces in Jiangxi Province, China. Chinese Journal of Plant Ecology (植物生态学报), 2016, 40(7): 643-657 (in Chinese)
[18] Caldwell IM, Maclaren VW, Chen JM, et al. An integrated assessment model of carbon sequestration benefits: A case study of Liping county, China. Journal of Environmental Management, 2007, 85: 757-773
[19] Ju WM, Chen JM, Harvey D, et al. Future carbon balance of China’s forests under climate change and increasing CO₂. Journal of Environmental Management, 2007, 85: 538-562
[20] Parton WJ, Stewart JWB, Cole CV. Dynamics of C, N, P and S in grassland soils: A model. Biogeochemistry, 1988, 5: 109-131
[21] Hu H-Q (胡海清), Sun L (孙龙), Guo Q-X (国庆喜), et al. Carbon emissions from forest fires on main arbor species in Daxing’an Mountains in Heilongjiang Province. Scientla Silvae Sinicae (林业科学), 2007, 43(11): 82-88 (in Chinese)
[22] Sun L (孙龙), Zhang Y (张瑶), Guo Q-X (国庆喜), et al. Carbon emission and dynamic of NPP post forest fires in 1987 in Daxing’an Mountains. Scientla Silvae Sinicae (林业科学), 2009, 45(12): 100-104 (in Chinese)
[23] Di X-Y (邸雪颖), Sun X-G (孙希国), Sun J (孙健), et al. Study on the space-time development of forest fires occurring in Tahe forestry bureau of Daxing’anling. Forest Fire Prevention (森林防火), 2008, 9(3): 33-35 (in Chinese)
[24] Guo F-T (郭福涛). Spatiotemporal distribution patterns and influence factors of forest fire in Tahe area. Journal of Natural Disasters (自然灾害学报), 2009, 18(1): 204-208 (in Chinese)
[25] Wang B, Li MZ, Fan WY, et al. Relationship between net primary productivity and forest stand age under different site conditions and its implications for regional carbon cycle study. Forests, 2018, 9: 5-8
[26] Yang J-M (杨金明), Fan W-Y (范文义), Zhao Y-H (赵颖慧). Comparison of three daily global solar radiation models. Chinese Journal of Applied Ecology (应用生态学报), 2014, 25(8): 2304-2310 (in Chinese)
[27] Deng F, Chen JM, Plummer S, et al. Algorithm for global leaf area index retrieval using satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44: 2219-2229
[28] Li M-Z (李明泽), Kang X-R (康祥瑞), Fan W-Y (范文义). Burned area extaction in Huzhong forests based on remote sensing and the spatial analysis of the burned severity. Scientla Silvae Sinicae (林业科学), 2017, 53(3): 163-174 (in Chinese)
[29] Liu YB, Ju WM, Chen JM, et al. Spatial and temporal variations of forest LAI in China during 2000-2010. Chinese Science Bulletin, 2012, 57: 2846-2856
[30] Mao X-G (毛学刚). Study on the Model of Northeast Forest Carbon Cycle at Daily Step and the Integrated Application of Remote Sensing. PhD Thesis. Harbin: Northeast Forestry University, 2011 (in Chinese)
[31] Campioli M, Gielen B, Göckede M, et al. Temporal variability of the NPP-GPP ratio at seasonal and interannual time scales in a temperate beech forest. Biogeosciences, 2011, 8: 2481-2492
[32] Yang H-X (杨洪晓), Wu B (吴波). Progress of research into carbon fixation and storage of forest ecosystems. Journal of Beijing Normal University(Natural Sciences) (北京师范大学学报:自然科学版), 2005, 41(2): 172-177 (in Chinese)
[33] Li J (李洁), Zhang Y-D (张远东), Gu X-F (顾雪峰), et al. Temporospatial variations in net ecosystem productivity in Northeast China since 1961. Acta Ecologica Sinica (生态学报), 2014, 34(6): 1490-1502 (in Chinese)