Abstract
Grasslands in China are mainly located in ecologically fragile regions, which are sensitive to climate change. During recent decades, grasslands have experienced prominent warming and drying. Therefore, investigating the response of grasslands to climatic variations is necessary for a better understanding of the cumulative consequences of climate change. Grassland net primary productivity (NPP) is an important indicator for evaluating grassland ecosystem conditions. We used multisource remote sensing data and meteorological data to estimate the grassland NPP from 1982 to 2010, based on the Carnegie–Ames–Stanford approach (CASA) model. The spatial pattern and change trends of grassland NPP were evaluated. The response of grassland NPP changes to climatic variations was also analyzed. The results revealed that the spatial distribution of grassland NPP showed an increasing trend from the northwest to southeast across China. During the period from 1982 to 2010, the grassland mean NPP was 282 gC/m2/year, and NPP exhibited apparent spatial heterogeneity, being highest (710 gC/m2/year) in the dry heat savanna shrub and grass and lowest (58 gC/m2/year) in the alpine desert. The total annual NPP was 988.3 Tg C. Grassland NPP has increased slightly in the past 30 years, at a rate of 0.6 gC/m2/year. Regions showing increasing NPP accounted for 67.2% of the total grassland areas, within which areas with extremely significant (P < 0.01) and significant (P < 0.05) increases accounted for 35.8% and 8.0% of the total grassland area, respectively. Regions showing extremely significant and significant decreases encompassed only 5.8% and 4.8% of total grassland area, respectively. Clear increases in grassland NPP were observed in the west of the Qinghai–Tibet Plateau, the Alxa Plateau, and western area of Xinjiang. Areas with a decrease in grassland NPP were mainly distributed in the western regions of Inner Mongolia. Furthermore, the increasing rate of NPP showed temporal variation and differed among different grassland types. The correlation coefficient between NPP and precipitation was larger than that between NPP and temperature. Moreover, the response of grassland NPP to temperature and precipitation differed for different grassland types. There were significant positive correlations between annual precipitation and NPP in temperate desert steppe, temperate steppe, and temperate meadow steppe.
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References
CCICCD (1996). China national committee for the implementation of the UN convention to combat desertification. China country paper to combat desertification. China Forestry Publishing House, Beijing
Christensen L, Coughenour MB, Ellis JE, Chen ZZ (2004) Vulnerability of the Asian typical steppe to grazing and climate change. Clim Change 63(3):351–368
Fang JY, Piao SL, Tang Z, Peng C, Ji W (2001) Interannual variability in net primary production and precipitation. Science 293(5536):1723
Field CB, Randerson JT, Malmström CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51(1):74–88
Keeling CD, Chin J, Whorf TP (1996) Increased activity of northern vegetation inferred from atmospheric CO2 measurements. Nature 382(6587):146–149
Ma MG, Frank V (2006) Interannual variability of vegetation cover in the Chinese Heihe River Basin and its relation to meteorological parameters. Int J Remote Sens 27(16):3473–3486
Myneni RB, Keeling CD, Tucker CJ, Asrar G, Nemani RR (1997) Increased plant growth in the northern high latitudes from 1981 to 1991. Nature 386(6626):698–702
Ni J (2004) Estimating net primary productivity of grasslands from field biomass measurements in temperate northern China. Plant Ecol 174(2):217–234
Paruelo JM, Epstein HE, Lauenroth WK, Burke IC (1997) ANPP estimates from NDVI for the central grassland region of the United States. Ecology 78(3):953–958
Piao SL, Fang JY, Guo QH (2001) Application of CASA model to the estimation of Chinese terrestrial net primary productivity. Acta Phytoecologica Sinica 25(5):603–608
Piao SL, Fang JY, Ji W, Guo QH, Ke JH, Tao S (2004) Variation in a satellite-based vegetation index in relation to climate in China. J Veg Sci 15(2):219–226
Piao SL, Mohammat A, Fang JY, Cai Q, Feng JM (2006) NDVI-based increase in growth of temperate grasslands and its responses to climate changes in China. Glob Environ Change 16(4):340–348
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(2):1–10
Potter CS, Randerson JT, Field CB, Matson PA, Vitousek PM, Mooney HA (1993) Terrestrial ecosystem production: a process model based on global satellite and surface data. Glob Biogeochem Cycles 7(4):811–841
Running SW, Nemani RR, Heinsch FA, Zhao M, Reeves M, Hashimoto H (2004) A continuous satellite-derived measure of global terrestrial primary production. Bioscience 54(6):547–560
Scurlock J, Hall DO (1998) The global carbon sink: a grassland perspective. Glob Change Biol 4(2):229–233
Shen WS, Li HD, Sun M, Jiang J (2012) Dynamics of aeolian sandy land in the Yarlung Zangbo River basin of Tibet, China from 1975 to 2008. Glob Planet Change 86:37–44
Shi YF, Shen YP, Kang E, Li DL, Ding YJ, Zhang G (2007) Recent and future climate change in northwest China. Clim Change 80(3–4):379–393
Walker B, Steffen W (1997) IGBP science no. 1: a synthesis of GCTE and related research. IGBP, Stockholm, pp 1–24
Weltzin JF, Loik ME, Schwinning S, Williams DG, Fay PA, Haddad BM (2003) Assessing the response of terrestrial ecosystems to potential changes in precipitation. Bioscience 53(10):941–952
Yang YH, Fang JY, Ma WH, Wang W (2008) Relationship between variability in aboveground net primary production and precipitation in global grasslands. Geophys Res Lett 35(23):L23710
Yu DY, Shi PJ, Han GY, Zhu WQ, Du SQ, Xun B (2011) Forest ecosystem restoration due to a national conservation plan in China. Ecol Eng 37(9):1387–1397
Zhai PM, Zhang XB, Wan H, Pan XH (2005) Trends in total precipitation and frequency of daily precipitation extremes over China. J Clim 18(7):1096–1108
Zhang F, Zhou GS, Wang YH (2008) Dynamics simulaiton of net primary productivity by a satellite data-driven CASA model in innner Mongolia typical steppe, China. J Plant Ecol 32(4):786–797
Zhu WQ, Pan YZ, He H, Yu DY, Hu HB (2006) Simulation of maximum light use efficiency for some typical vegetation types in China. Chin Sci Bull 51(4):457–463
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Zhou, W., Li, J., Yue, T. (2020). Spatial–Temporal Dynamics of Grassland Net Primary Productivity in China and Its Response to Climate Factors. In: Remote Sensing Monitoring and Evaluation of Degraded Grassland in China. Springer Geography. Springer, Singapore. https://doi.org/10.1007/978-981-32-9382-3_3
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DOI: https://doi.org/10.1007/978-981-32-9382-3_3
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