Sensitivity of net primary production to climate change in the Hyrcanian region

Document Type : Scientific article

Authors

1 Ph.D. Student, Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Iran

2 Prof., Department of Forestry and Forest Economics, Faculty of Natural Resources, University of Tehran, Karaj, Iran

3 Associate Prof., Department of Reclamation of Arid and Mountainous Regions, Faculty of Natural Resources, University of Tehran, Karaj, Iran

4 Associate Prof., Department of Irrigation and Reclamation Engineering, Faculty of Agricultural Engineering and Technology, University of Tehran, Karaj, Iran

5 Associate Prof., Department of Geology and Geography, Georgia Southern University, USA

Abstract

 Net primary production (NPP) is an important indicator of ecosystem production potential, which is heavily affected by climate change. The purpose of this study was to investigate the effect of climate change on-trend and sensitivity of NPP in the Hyrcanian region of northern Iran using long-term (31 years, 1987-2017) meteorological data recorded in Gorgan, Ghaemshahr, Babolsar, Nowshahr, Ramsar, Bandar Anzali, and Astara synoptic stations. The synthetic climate-based model was used to estimate NPP and Mann-Kendal test was employed to test the trends of NPP and other meteorological parameters. We observed that the trends of annual temperature were statistically significant in all stations, whereas the annual precipitation trends were not statistically significant. The average annual NPP in the Hyrcanian region was found to be 10.6 t. ha-1 per year on average (SD: ±1.91), in which the maximum and minimum NPPs were corresponded to Bandar Anzali (13.42 t. ha-1 per year; SD: ±1.38) and Gorgan (7.6 t. ha-1 per year: SD: ±1) stations, respectively. The amount of NPP showed an increasing trend from the eastern to the western Hyrcanian region up to Bandar Anzali. Furthermore, the sensitivity of the NPP coefficient was estimated at 0.5 throughout the Hyrcanian region in response to changing temperature. This indicated that a 0.6 °C increase in temperature could approximately increase annual NPP by 0.2 t. ha-1 per year. Conclusively, understanding the temporal change of NPP in response to changing climate is necessary for the utilization of ecosystem services and benefits.

Keywords

References

- Anderson, R.G. and Goulden, M.L., 2011. Relationships between climate, vegetation, and energy exchange across a montane gradient. Journal of Geophysical Research: Biogeosciences, 116(G1): 16p.
- Attarod, P., Kheirkhah, F., Khalighi Sigaroodi, S., Sadeghi, S.M.M., Dolatshahi, A. and Bayramzadeh, V., 2017. Trend analysis of meteorological parameters and reference evapotranspiration in the Caspian region. Iranian Journal of Forest, 9(2): 171-185 (In Persian).
- Bonan, G.B., Levis, S., Sitch, S., Vertenstein, M. and Oleson, K.W., 2003. A dynamic global vegetation model for use with climate models: concepts and description of simulated vegetation dynamics. Global Change Biology, 9(11): 1543-1566.
- Davie, J.C.S., Falloon, P.D., Kahana, R., Dankers, R., Betts, R., Portmann, F.T., … and Arnell, N., 2013. Comparing projections of future changes in runoff from hydrological and biome models in ISI-MIP. Earth System Dynamics, 4(2): 359-374.
- Euskirchen, E.S., McGuire, A.D., Chapin III, F.S., Yi, S. and Thompson, C.C., 2009. Changes in vegetation in northern Alaska under scenarios of climate change, 2003–2100: implications for climate feedbacks. Ecological Applications, 19(4): 1022-1043.
- Field, C.B., Behrenfeld, M.J., Randerson, J.T. and Falkowski, P., 1998. Primary production of the biosphere: integrating terrestrial and oceanic components. Science, 281(5374): 237-240.
- Gang, C., Zhou, W., Li, J., Chen, Y., Mu, S., Ren, J., Chen, J. and Groisman, P.Y., 2013. Assessing the spatiotemporal variation in distribution, extent and NPP of terrestrial ecosystems in response to climate change from 1911 to 2000. PloS One, 8(11): e80394.
- Hadiani, M.O., 2015. Uncertainty of climate change and synoptic Parameters and modeling the trends. Environmental Resources Research, 3(2): 179-190 (In Persian).
- He, Y.H., Tian, Y.L., Ye, D.M., Qin, J.Q. and Guo, L.S., 2005. Model of aboveground biomass of Nitraria tangutorum and relationship between biomass and leaf area. Journal of Desert Research, 25(4): 541-546.
- Jackson, R.B., Jobbágy, E.G., Avissar, R., Roy, S.B., Barrett, D.J., Cook, C.W., Farley, K.A., le Maitre, D.C., McCarl, B.A. and Murray, B.C., 2005. Trading water for carbon with biological carbon sequestration. Science, 310(5756): 1944-1947.
- Jahanbakhsh, S., Hadiani, M.O., Rezaie Banafsheh, M. and Dinpajouh, Y., 2010. Modeling the climate change's parameters in Mazandaran province. 4th International Congress of the Islamic Worlds Geographers. Zahedan, Iran, 14-16 Apr. 2010: 13p (In Persian).
 - Jiang, H., Apps, M.J., Zhang, Y., Peng, C. and Woodard, P.M., 1999. Modelling the spatial pattern of net primary productivity in Chinese forests. Ecological Modelling, 122(3): 275-288.
- Kang, S., Lee, D., Lee, J. and Running, S.W., 2006. Topographic and climatic controls on soil environments and net primary production in a rugged temperate hardwood forest in Korea. Ecological Research, 21(1): 64-74.
- Kendall, M.G., 1975. Rank Correlation Methods. 4th Edition, Griffin, London, 202p
- Mamassis, N., Panagoulia, D. and Novkovic, A., 2014. Sensitivity analysis of Penman evaporation method. Global NEST Journal, 16(4): 628-639.
- Mann, H.B., 1945. Nonparametric tests against trend. Econometrica: Journal of the Econometric Society, 13(3): 245-259.
- Melillo, J.M., Prentice, I.C., Farquhar, G.D., Schulze, E.D. and Sala, O.E., 1996. Terrestrial biotic responses to environmental change and feedbacks to climate: 445-482. In: Houghton, J.T., Meira Filho, L.G., Callander, B.A., Harris, N., Kattenberg, A. and Maskell, K. (Eds.). Climate Change 1995: The Science of Climate Change. Cambridge University Press, Cambridge, 557p.
- Nemani, R.R., Keeling, C.D., Hashimoto, H., Jolly, W.M., Piper, S.C., Tucker, C.J., Myneni, R.B. and Running, S.W., 2003. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 300(5625): 1560-1563.
- Peters, G.P., Andrew, R.M., Boden, T., Canadell, J.G., Ciais, P., Le Quéré, C., Marland, G., Raupach, M.R. and Wilson, C., 2013. The challenge to keep global warming below 2 °C. Nature Climate Change, 3(1): 4-6.
- Phillips, O.L., Aragão, L.E., Lewis, S.L., Fisher, J.B., Lloyd, J., López-González, G., … and Torres-Lezama, A., 2009. Drought sensitivity of the Amazon rainforest. Science, 323(5919): 1344-1347.
- Piao, S., Nan, H., Huntingford, C., Ciais, P., Friedlingstein, P., Sitch, S. and Chen, A., 2014. Evidence for a weakening relationship between interannual temperature variability and northern vegetation activity. Nature Communications, 5: 5018.
- Ren, Z.C., Zhu, H.Z., Li, R. and Liu, X., 2010. Variation in vegetation net primary productivity and its response to climate in Buryatiya Republic, Russia. Resources Science, 32(10): 2018-2027.
- Seino, H. and Uchijima, Z., 1992. Global distribution of net primary productivity of terrestrial vegetation. Journal of Agricultural Meteorology, 48(1): 39-48.
- Sun, G., Riekerk, H. and Kornhak, L.V., 2000. Ground-water-table rise after forest harvesting on cypress-pine flatwoods in Florida. Wetlands, 20(1): 101-112.
- Wang, X., Li, F., Gao, R., Luo, Y. and Liu, T., 2014. Predicted NPP spatiotemporal variations in a semiarid steppe watershed for historical and trending climates. Journal of Arid Environments, 104: 67-79.
- Zhang, G., Kang, Y., Han, G. and Sakurai, K., 2011. Effect of climate change over the past half century on the distribution, extent and NPP of ecosystems of Inner Mongolia. Global Change Biology, 17(1): 377-389.
- Zhou, G., Wang, Y., Jiang, Y. and Yang, Z., 2002. Estimating biomass and net primary production from forest inventory data: a case study of China’s Larix forests. Forest Ecology and Management, 169(1-2): 149-157.

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