Abstract
As an important component of the terrestrial carbon (C) cycle, variability in net primary productivity (NPP) plays a crucial role in the C input and accumulation in grasslands system. In this study, the spatial and temporal variability of grassland NPP in China during 2001–2010 and its relation to climate factors were analyzed by using a modified model of Carnegie–Ames–Stanford Approach based on the Comprehensive and Sequential Classification System. The results show that monthly grassland NPP increases from January to July. While the seasonal variability of NPP indicates peak productivity in summer. Annual mean grassland NPP follows a significant increasing trend with fluctuation from 2001 to 2010. The spatial pattern of grassland NPP shows increasing gradients from the west to the east and from the north to the south of China. Annual NPP differs significantly among different grassland types, with the highest NPP in the grassland distributed in sub-tropical perhumid evergreen broad leaved forest and tropical-perhumid rain forest. Time-lag correlation analysis at the monthly scale shows that grassland NPP responded more rapidly to changes in temperature than to precipitation. Among the climate factors, grassland NPP shows the strongest correlation at 1-month lag with moisture index K. There is a significant positive correlation between seasonal NPP and K. The seasonal NPP is significantly correlated with >0 °C annual cumulative temperature. The highest and the lowest NPP sensitivity to precipitation, K, and temperature were observed in the grassland distributed in tropical forest and semi-desert. The results indicate a complex mechanism of climate factors that control grassland C sequestration in terrestrial ecosystems.
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References
Akiyama T, Kawamura K (2007) Grassland degradation in China: methods of monitoring, management and restoration. Grassl Sci 53:1–17
Chen BX, Zhang XZ, Tao J, Wu JS, Wang JS, Shi PL, Zhang YJ, Yu CQ (2014) The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau. Agric For Meteorol 189:11–18
Durbin J, Watson GS (1971) Testing for serial correlation in least squares regression III. Biometrica 58:1–19
Eisfelder C, Klein I, Niklaus M, Kuenzer C (2014) Net primary productivity in Kazakhstan, its spatio-temporal patterns and relation to meteorological variables. J Arid Environ 103:17–30
Feng X, Liu G, Chen JM, Chen M, Liu J, Ju WM, Sun R, Zhou W (2007) Net primary productivity of China’s terrestrial ecosystems from a process model driven by remote sensing. J Environ Manage 85:563–573
Field CB, Randerson JT, Malmstrom CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51:74–88
Fik TJ, Mulligan GF (1998) Functional form and spatial interaction models. Environ Plan A 30:1497–1507
Fleig AJ, Heath DF, Klenk KF, Oslik N, Lee KD, Park H, Bhartia PK, Gordon D (1983) User’s guide for the Solar Backscattered Ultraviolet (SBUV) and the Total Ozone Main Spectrometer (TOMS) RUT-S and RUT-T data sets: October 31, 1978 to November 1, 1980. NASA Reference Publication 1112
Gang CC, Zhou W, Li JL, Chen YZ, Mu SJ, Ren JZ, Chen JM, Groisman PY (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:e80394
Gao ZQ, Liu JY (2008) Simulation study of China’s net primary production. Chin Sci Bull 53:434–443
Gao ZQ, Liu JY, Cao MK, Li K, Tao B (2004) Impacts of land use and climate change on regional net primary productivity. J Geogr Sci 14:349–358
Gao Z, Cao X, Gao W (2013a) The spatio-temporal responses of the carbon cycle to climate and land use/land cover changes between 1981–2000 in China. Front Earth Sci 7:92–102
Gao T, Xu B, Yang XC, Jin YX, Ma HL, Li JY, Yu HD (2013b) Using MODIS time series data to estimate aboveground biomass and its spatio-temporal variation in Inner Mongolia’s grassland between 2001 and 2011. Int J Remote Sens 34:7796–7810
Gao Y, Zhou X, Wang Q, Wang C, Zhan Z, Chen L, Yan J, Qu R (2013c) Vegetation net primary productivity and its response to climate change during 2001–2008 in the Tibetan Plateau. Sci Total Environ 444:356–362
Gao T, Yang XC, Jin YX, Ma HL, Li JY, Yu HD, Yu QY, Zheng X, Xu B (2013d) Spatio-temporal variation in vegetation biomass and its relationships with climate factors in the Xilingol grasslands, northern China. PLoS ONE 8:e83824
Gessner U, Naeimi V, Klein I, Kuenzer C, Klein D, Dech S (2013) The relationship between precipitation anomalies and satellite-derived vegetation activity in Central Asia. Glob Planet Change 110:74–87
Gordon HR, Brown JW, Evans RH (1988) Exact Rayleigh scattering calculation for use with the Nimbus-7 coastal zone color scanner. Appl Opt 27:862–871
Guido A, Varela RD, Baldassini P, Paruelo J (2014) Spatial and temporal variability in aboveground net primary production of Uruguayan grasslands. Rangel Ecol Manag 67:30–38
Guo Q, Hu ZM, Li SG, Li XR, Sun XM, Yu GR (2012) Spatial variations in aboveground net primary productivity along a climate gradient in Eurasian temperate grassland: effects of mean annual precipitation and its seasonal distribution. Glob Change Biol 18:3624–3631
Haverd V, Raupach MR, Briggs PR, Canadell JG, Isaac P, Pickett-Heaps C, Roxburgh SH, van Gorsel E, Viscarra Rossel RA, Wang Z (2013) Multiple observation types reduce uncertainty in Australia’s terrestrial carbon and water cycles. Biogeosciences 10:2011–2040
Herrmann SM, Anayamba A, Tucker CJ (2005) Recent trends in vegetation dynamics in the African Sahel and their relationship to climate. Glob Environ Change 15:394–404
Hicke JA, Asner GP, Randerson JT, Tucker CJ, Los S, Birdsey R, Jenkins JC, Field C (2002) Trends in North American net primary productivity derived from satellite observations, 1982–1998. Glob Biogeochem Cycles 16:1018
Hu ZM, Fan JW, Zhong HP, Yu GR (2007) Spatiotemporal dynamics of aboveground primary productivity along a precipitation gradient in Chinese temperate grassland. Sci China Ser. D 50:754–764
Huang CY, Asner GP, Barger NN (2012) Modeling regional variation in net primary production of pinyon–juniper ecosystems. Ecol Model 227:82–92
Jin Y, Yang X, Qiu J, Li J, Gao T, Wu Q, Zhao F, Ma H, Xu B (2014) Remote sensing-based biomass estimation and its spatio-temporal variations in temperate grassland, Northern China. Remote Sens 6:1496–1513
Liang T, Feng Q, Yu H, Huang X, Lin H, An S, Ren J (2012a) Dynamics of natural vegetation on the Tibetan Plateau from past to future using a comprehensive and sequential classification system and remote sensing data. Grassl Sci 58:208–220
Liang T, Feng Q, Cao J, Xie H, Lin H, Zhao J, Ren J (2012b) Changes in global potential vegetation distributions from 1911 to 2000 as simulated by the Comprehensive Sequential Classification System approach. Chin Sci Bull 57:1298–1310
Liang W, Yang Y, Fan D, Guan H, Zhang T, Long D, Zhou Y, Bai D (2015) Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010. Agric For Meteorol 204:22–36
Lieth H (1975) Primary productivity of the major vegetation units of the world. In: Lieth H, Whittaker RK (eds) Primary productivity of the biosphere. Springer, Berlin, pp 203–215
Lin HL (2009) A new model of grassland net primary productivity (NPP) based on the integrated orderly classification system of grassland. In: The sixth international conference on fuzzy systems and knowledge discovery, vol 1, pp 52–56
Lin HL, Zhang Y (2013) Evaluation of six methods to predict grassland net primary productivity along an altitudinal gradient in the Alxa Rangeland, Western Inner Mongolia, China. Grassl Sci 59:100–110
Lin HL, Feng Q, Liang T, Ren J (2013) Modelling global-scale potential grassland changes in spatio-temporal patterns to global climate change. Int J Sust Dev World 20:83–96
Lobo A, Rebollar JL (2010) Model-based discriminant analysis of Iberian potential vegetation and bio-climatic indices. Phys Chem Earth 35:52–56
Ma WH, Fang JY, Yang YH, Mohammat A (2010) Biomass carbon stocks and their changes in northern China’s grasslands during 1982–2006. Sci China Ser C 53:841–850
Mendez-Barroso LA, Vivoni ER, Watts CJ, Rodriguez JC (2009) Seasonal and interannual relation between precipitation, surface soil moisture and vegetation dynamics in the North American Monsoon region. J Hydrol 377:59–70
Nemani RR, Keeling CD, Hashimoto H, Jolly WM, Piper SC, Tucker CJ, Myneni RB, Running SW (2003) Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science 300:1560–1563
Nezlin NP, Kostianoy AG, Li BL (2005) Inter-annual variability and interaction of remote-sensed vegetation index and atmospheric precipitation in the Aral Sea region. J Arid Environ 62:677–700
Nicholson SE, Davenport ML, Malo AR (1990) A comparison of the vegetation response to rainfall in the Sahel and East Africa using Normalized Difference Vegetation Index from NOAA AVHRR. Clim Change 17:209–241
Peng DL, Huang JF, Cai CX, Deng R, Xu JF (2008) Assessing the response of seasonal variation of net primary productivity to climate using remote sensing data and geographic information system techniques in Xinjiang. J Integr Plant Biol 50:1580–1588
Peng DL, Huang JF, Huete AR, Yang TM, Gao P, Chen YC, Chen H, Li J, Liu ZY (2010) Spatial and seasonal characterization of net primary productivity and climate variables in southeastern China using MODIS data. J Zhejiang Univ Sci B 11:275–285
Piao SL, Fang JY, Zhou LM, Zhu B, Tan K, Tao S (2005) Changes in vegetation net primary productivity from 1982 to 1999 in China. Glob Biogeochem Cycles 19:GB2027
Piao SL, Fang JY, He JS (2006) Variations in vegetation net primary production in the Qinghai-Xizang Plateau, China, from 1982 to 1999. Clim Change 74:253–267
Piao SL, Fang JY, Zhou LM, Tan K, Tao S (2007) Changes in biomass carbon stocks in China’s grasslands between 1982 and 1999. Glob Biogeochem Cycles 21:B2002–B2010
Piao S, Tan K, Nan H, Ciais P, Fang J, Wang T, Vuichard N, Zhu B (2012) Impacts of climate and CO2 changes on the vegetation growth and carbon balance of Qinghai-Tibetan grasslands over the past five decades. Glob Planet Change 98:73–80
Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA, Klooster SA (1993) Terrestrial ecosystem production: a process model based on global satellite and surface data. Glob Biogeochem Cycles 7:811–841
Potter C, Klooster S, Hiatt C, Genovese V, Castilla-Rubio JC (2011) Changes in the carbon cycle of Amazon ecosystems during the 2010 drought. Environ Res Lett 6:034024
Potter C, Klooster S, Genovese V (2012) Net primary production of terrestrial ecosystems from 2000 to 2009. Clim Change 115:365–378
Rao CR, Chen J (1995) Inter-satellite calibration linkages for the visible and near-infrared channels of the Advanced Very High Resolution Radiometer on the NOAA-7, -9 and 11 spacecraft. Int J Remote Sens 16:1931–1942
Ren J, Hu ZZ, Zhao J, Zhang DG, Hou FJ, Lin HL, Mu XD (2008) A grassland classification system and its application in China. Rangel J 30:199–209
Richard Y, Poccard I (1998) A statistical study of NDVI sensitivity to seasonal and interannual rainfall variations in Southern Africa. Int J Remote Sens 19:2907–2920
Scurlock JMO, Johnson K, Olson RJ (2002) Estimating net primary productivity from grassland biomass dynamics measurements. Glob Change Biol 8(8):736–753
Singh RP, Rovshan S, Goroshi SK, Panigrahy S, Parihar JS (2011) Spatial and temporal variability of net primary productivity (NPP) over terrestrial biosphere of India using NOAA-AVHRR based GloPEM model. J Indian Soc Remote Sens 39:345–353
Slayback D, Pinzon J, Los S, Tucker CJ (2003) Northern Hemisphere photosynthetic trends 1982–1999. Glob Change Biol 9:1–15
Sun Z, Sun C, Zhou W, Ju W, Li J (2013) Evaluating the net primary productivity in the grasslands of southern China from 2001 to 2010 using a new land portfolio assessment model. Plant Ecol 214:1223–1232
Sun Z, Sun C, Zhou W, Ju W, Li J (2014) Classification and net primary productivity of the southern China’s grasslands ecosystem based on improved Comprehensive and Sequential Classification System (CSCS) Approach. J Integr Agric 13:893–903
Wang L, Gong W, Ma Y, Zhang M (2013) Modeling regional vegetation NPP variations and their relationships with climatic parameters in Wuhan, China. Earth Interact 17:1–20
Yang L, Wylie B, Tieszen L, Reed B (1998) An analysis of relationships among climate forcing and time-integrated NDVI of grasslands over the U.S. northern and central Great Plains. Remote Sens Environ 65:25–37
Zhang M, Chen Q, Jiang W, Liu X (2011) An improved CASA model based on Comprehensive and Sequential Classification System of grasslands. Chin J Grassl 33:5–11
Zhang Y, Song C, Zhang K, Cheng X, Zhang Q (2013) Spatial–temporal variability of terrestrial vegetation productivity in the Yangtze River Basin during 2000–9. J Plant Ecol. doi:10.1093/jpe/rtt025
Zhang Y, Qi W, Zhou C (2014) Spatial and temporal variability in the net primary production of alpine grassland on the Tibetan Plateau since 1982. J Geogr Sci 24:269–287
Acknowledgements
This study was supported by the National Natural Science Foundation of China (Nos. 31160398 and 31560563), the Natural Science Foundation of Gansu Province, China (Nos. 1606RJZA077, 1606RJZA073, and 1308RJZA262), and the Research Fund of Higher Education of Gansu, China (No. 2015A-074).
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Communicated by William E. Rogers.
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Zhang, M., Lal, R., Zhao, Y. et al. Spatial and temporal variability in the net primary production of grassland in China and its relation to climate factors. Plant Ecol 218, 1117–1133 (2017). https://doi.org/10.1007/s11258-017-0756-4
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DOI: https://doi.org/10.1007/s11258-017-0756-4