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The effects of climate factors and human activities on net primary productivity in Xinjiang

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Abstract

Net primary productivity (NPP) is an index of the increase in plant biomass. Plant biomass is an important component of the global carbon cycle that indicates the health of an ecosystem. Environmental restoration has recently received much attention in Xinjiang, and it is thus important to quantify the dynamic effects of the drivers of NPP in the region. NPP was calculated for the annual growing season from 1982 to 2013 using the Carnegie-Ames-Stanford Approach (CASA) model. The effects of climate factors on NPP were analyzed, and the relationships between NPP and climate factors as well as human activity were quantified. Additionally, an innovative method based on partial derivatives and residual error was proposed to calculate the contributions of climate factors and human activities. The results show that average annual NPP in Xinjiang was 57.45 g C m−2 from 1982 to 2013 and that the average increase in annual NPP was 0.23 g C m−2 year−1. The average increases in annual NPP due to temperature, precipitation, and solar radiation were 0.0095, 0.2679, and 0.2541 g C m−2 year−1; the average decreases were respectively − 0.0133, − 0.0521, and − 0.0725 g C m−2 year−1. Precipitation and solar radiation influence NPP more than temperature. Precipitation had the greatest effect on NPP in the first 19 years, but solar radiation became more influential after 2000. Climate conditions were favorable for increase in NPP before 2000. The environmental restoration also occurred in Xinjiang during that period, and human activity slightly decreased NPP. Human activity increased and had a greater effect on NPP after 2000.

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References

  • Ahlström A, Miller PA, Smith B (2012) Too early to infer a global NPP decline since 2000. Geophys Res Lett 39

  • Alexandersson H (1986) A homogeneity test applied to precipitation data. J Climatol 6:661–675

    Google Scholar 

  • Bartier PM, Keller CP (1996) Multivariate interpolation to incorporate thematic surface data using inverse distance weighting (IDW). Comput Geosci 22:795–799

    CAS  Google Scholar 

  • Bondeau A, Kicklighter DW, Kaduk J, Intercomparison TPOFTPNM (1999) Comparing global models of terrestrial net primary productivity (NPP): importance of vegetation structure on seasonal NPP estimates. Glob Chang Biol 5:35–45

    Google Scholar 

  • Buyantuyev A, Wu J (2009) Urbanization alters spatiotemporal patterns of ecosystem primary production: a case study of the Phoenix metropolitan region, USA. J Arid Environ 73:512–520

    Google Scholar 

  • Chen C, Park T, Wang X et al (2019) China and India lead in greening of the world through land-use management. Nat Sustain 2:122

    Google Scholar 

  • Cramer W, Kicklighter DW, Bondeau A et al (1999) Comparing global models of terrestrial net primary productivity (NPP): overview and key results. Glob Chang Biol 5:1–15

    Google Scholar 

  • Dan L, Ji JJ, Ma ZG (2007) The variation of net primary production and leaf area index over Xinjiang Autonomous Region and its response to climate change. Acta Ecol Sin 27:3582–3592

    Google Scholar 

  • Dlamini P, Chivenge P, Chaplot V (2016) Overgrazing decreases soil organic carbon stocks the most under dry climates and low soil pH: a meta-analysis shows. Agric Ecosyst Environ 221:258–269

    CAS  Google Scholar 

  • Fang S, Pei H, Liu Z et al (2010) Water resources assessment and regional virtual water potential in the Turpan Basin, China. Water Resour Manag 24:3321–3332

    Google Scholar 

  • Fang S, Yan J, Che M et al (2013) Climate change and the ecological responses in Xinjiang, China: model simulations and data analyses. Quat Int 311:108–116

    Google Scholar 

  • Field CB, Randerson JT, Malmström CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51:74–88

    Google Scholar 

  • Gao Q, Li Y, Wan Y et al (2009) Dynamics of alpine grassland NPP and its response to climate change in northern Tibet. Clim Chang 97:515

    CAS  Google Scholar 

  • Han Q, Luo G, Li C, Xu W (2014) Modeling the grazing effect on dry grassland carbon cycling with Biome-BGC model. Ecol Complex 17:149–157

    Google Scholar 

  • Hutyra LR, Yoon B, Alberti M (2011) Terrestrial carbon stocks across a gradient of urbanization: a study of the Seattle, WA region. Glob Chang Biol 17:783–797

    Google Scholar 

  • Jiang Y, Wang R, Peng Q, Wu X, Ning H, Li C (2018) The relationship between drought activity and vegetation cover in Northwest China from 1982 to 2013. Nat Hazards 92:145–163. https://doi.org/10.1007/s11069-018-3282-3

    Article  Google Scholar 

  • Kendall MG (1975) Rank correlation measures, vol 202. Charles Griffin, London, p 15

    Google Scholar 

  • Liu J, Diamond J (2005) China’s environment in a globalizing world. Nature 435:1179

    CAS  Google Scholar 

  • Liu Q, Yang Z, Han F et al (2016) NDVI-based vegetation dynamics and their response to recent climate change: a case study in the Tianshan Mountains, China. Environ Earth Sci 75:1189

    Google Scholar 

  • Michaletz ST, Cheng D, Kerkhoff AJ, Enquist BJ (2014) Convergence of terrestrial plant production across global climate gradients. Nature 512:39

    CAS  Google Scholar 

  • Milesi C, Elvidge CD, Nemani RR, Running SW (2003) Assessing the impact of urban land development on net primary productivity in the southeastern United States. Remote Sens Environ 86:401–410

    Google Scholar 

  • Mohamed MAA, Babiker IS, Chen ZM, Ikeda K, Ohta K, Kato K (2004) The role of climate variability in the inter-annual variation of terrestrial net primary production (NPP). Sci Total Environ 332:123–137

    CAS  Google Scholar 

  • Monteith JL (1972) Solar radiation and productivity in tropical ecosystems. J Appl Ecol 9:747–766

    Google Scholar 

  • Nasri M, Modarres R (2009) Dry spell trend analysis of Isfahan Province, Iran. Int J Climatol A J R Meteorol Soc 29:1430–1438

    Google Scholar 

  • Nemani RR, Keeling CD, Hashimoto H et al (2003) Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science (80- ) 300:1560–1563

    CAS  Google Scholar 

  • Peng D, Huang J, Cai C, 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

    Google Scholar 

  • Piao S, Fang J, Zhou L et al (2005) Changes in vegetation net primary productivity from 1982 to 1999 in China. Glob Biogeochem Cycles 19

  • Potter CS, Randerson JT, Field CB et al (1993) Terrestrial ecosystem production: a process model based on global satellite and surface data. Glob Biogeochem Cycles 7:811–841

    Google Scholar 

  • Rana G, Katerji N (1998) A measurement based sensitivity analysis of the Penman-Monteith actual evapotranspiration model for crops of different height and in contrasting water status. Theor Appl Climatol 60:141–149

    Google Scholar 

  • Ruimy A, Saugier B, Dedieu G (1994) Methodology for the estimation of terrestrial net primary production from remotely sensed data. J Geophys Res Atmos 99:5263–5283

    Google Scholar 

  • Sang W, Su H (2009) Interannual NPP variation and trend of Picea schrenkiana forests under changing climate conditions in the Tianshan Mountains, Xinjiang, China. Ecol Res 24:441–452

    Google Scholar 

  • Schloss AL, Kicklighter DW, Kaduk J et al (1999) Comparing global models of terrestrial net primary productivity (NPP): comparison of NPP to climate and the normalized difference vegetation index (NDVI). Glob Chang Biol 5:25–34

    Google Scholar 

  • Sheffield J, Wood EF, Roderick ML (2012) Little change in global drought over the past 60 years. Nature 491:435

    CAS  Google Scholar 

  • Shi YF (2003) Discussion on the present climate change from warm-dry to warm-wet in Northwest China. Quat Sci 23:152r164

    Google Scholar 

  • Shi YF, Shen YP, Hu RJ (2002) Preliminary study on signal, impact and foreground of climatic shift from warm-dry to warm-humid in Northwest China. J Glaciol Geocryol 24:219–226

    Google Scholar 

  • Sun J, Qin X (2016) Precipitation and temperature regulate the seasonal changes of NDVI across the Tibetan Plateau. Environ Earth Sci 75:291

    Google Scholar 

  • Verbesselt J, Hyndman R, Newnham G, Culvenor D (2010) Detecting trend and seasonal changes in satellite image time series. Remote Sens Environ 114:106–115

    Google Scholar 

  • Wang Y, Zhao S-D (2000) Productivity pattern of Picea schrenkiana var. tianshanica forest. Acta Phytoecol Sin 24:186–190

    Google Scholar 

  • Wang Y, Zhou G, Jia B (2008) Modeling SOC and NPP responses of meadow steppe to different grazing intensities in Northeast China. Ecol Model 217:72–78

    Google Scholar 

  • Wang T, Lin X, Liu Y et al (2016) Causes of uncertainty in China’s net primary production over the 21st century projected by the CMIP5 earth system models. Int J Climatol 36:2323–2334

    Google Scholar 

  • Wang J, Dong J, Yi Y et al (2017) Decreasing net primary production due to drought and slight decreases in solar radiation in China from 2000 to 2012. J Geophys Res Biogeosci 122:261–278

    Google Scholar 

  • Wu S, Zhou S, Chen D, Wei Z, Dai L, Li X (2014) Determining the contributions of urbanisation and climate change to NPP variations over the last decade in the Yangtze River Delta, China. Sci Total Environ 472:397–406

    CAS  Google Scholar 

  • Xu W, Gu S, Zhao X et al (2011) High positive correlation between soil temperature and NDVI from 1982 to 2006 in alpine meadow of the Three-River Source Region on the Qinghai-Tibetan Plateau. Int J Appl Earth Obs Geoinf 13:528–535

    Google Scholar 

  • Yang H, Yang D (2012) Climatic factors influencing changing pan evaporation across China from 1961 to 2001. J Hydrol 414:184–193

    Google Scholar 

  • Yang H, Mu S, Li J (2014) Effects of ecological restoration projects on land use and land cover change and its influences on territorial NPP in Xinjiang, China. Catena 115:85–95

    Google Scholar 

  • Yang H, Yao L, Wang Y, Li J (2017) Relative contribution of climate change and human activities to vegetation degradation and restoration in North Xinjiang, China. Rangel J 39:289–302

    Google Scholar 

  • Zhang H (2001) Responses of NPP of salinized meadow in hyper-arid area to global change. J Nat Resour 16:216–220

    Google Scholar 

  • Zhang R, Liu P, Zhang K (2012) Spatio-temporal characteristics of potential climate productivity of grassland and its responses to climate change in Xinjiang, China. J Desert Res 32:181–187

    Google Scholar 

  • Zhang Y, Zhang C, Wang Z et al (2016) Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source Region, China from 1982 to 2012. Sci Total Environ 563:210–220

    Google Scholar 

  • Zhang R, Liang T, Guo J et al (2018) Grassland dynamics in response to climate change and human activities in Xinjiang from 2000 to 2014. Sci Rep 8:2888

    Google Scholar 

  • Zhao M, Running SW (2010) Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science (80- ) 329:940–943

    CAS  Google Scholar 

  • Zhou C, Zhao CX, Yang ZP (2017) Strategies for environmentally friendly development in the northern Tianshan Mountain Economic Zone based on scenario analysis. J Clean Prod 156:74–82

    CAS  Google Scholar 

  • Zhu W, Pan Y, He H et al (2006) Simulation of maximum light use efficiency for some typical vegetation types in China. Chin Sci Bull 51:457–463

    CAS  Google Scholar 

  • Zhu W, Tian H, Xu X et al (2012) Extension of the growing season due to delayed autumn over mid and high latitudes in North America during 1982–2006. Glob Ecol Biogeogr 21:260–271

    Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Civil and Environmental Engineering, University of Connecticut, Storrs, CT, USA

    Yelin Jiang

  2. School of Applied Meteorology, Nanjing University of Information Science & Technology, Nanjing, China

    Yelin Jiang, Qing Peng, Yanlong Guan & Yang Zhang

  3. Xinjiang Academy Forest, Urumqi, China

    Jing Guo

  4. Institute of Arid Ecology and Environment, Key Laboratory of Oasis Ecology, Xinjiang University, Urumqi, China

    Renping Zhang

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  1. Yelin Jiang
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  2. Jing Guo
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  3. Qing Peng
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  4. Yanlong Guan
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  5. Yang Zhang
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  6. Renping Zhang
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Correspondence to Yelin Jiang or Jing Guo.

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Jiang, Y., Guo, J., Peng, Q. et al. The effects of climate factors and human activities on net primary productivity in Xinjiang. Int J Biometeorol 64, 765–777 (2020). https://doi.org/10.1007/s00484-020-01866-4

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  • DOI: https://doi.org/10.1007/s00484-020-01866-4

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