Abstract
Urban expansion and land cover change driven primarily by human activities have significant influences on the urban eco-environment, and together with climate change jointly alter net primary productivity (NPP). However, at the spatiotemporal scale, there has been limited quantitative analysis of the impacts of human activities independent of climate change on NPP. We chose Guangzhou city as a study area to analyze the impacts of human activities on NPP, as well as the spatiotemporal variations of those impacts within three segments, using a relative impact index (RII) based on potential NPP (NPPp), actual NPP (NPPact), and NPP appropriation due to land use/land cover change (NPPlulc). The spatial patterns and dynamics of NPPact and NPPlulc were evaluated and the impacts of human activities on NPP during the process of urban sprawl were quantitatively analyzed and assessed using the RII. The results showed that NPPact and NPPlulc in the study area had clear spatial heterogeneity, between 2001 and 2013 there was a declining trend in NPPact while an increasing trend occurred in NPPlulc, and those trends were especially significant in the 10–40-km segment. The results also revealed that more than 91.0% of pixels in whole study region had positive RII values, while the lowest average RII values were found in the > 40-km segment (39.03%), indicating that human activities were not the main cause for the change in NPP there; meanwhile, the average RII was greater than 65.0% in the other two, suggesting that they were subjected to severe anthropogenic disturbances. The RII values in all three segments of the study area increased, indicating an increasing human interference. The 10–40-km buffer zone had the largest slope value (0.5665), suggesting that this segment was closely associated with growing human disturbances. Particularly noteworthy is the fact that the > 40-km segment had a large slope value (0.3323) and required more conservation efforts. Based on the above results, we suggest that continuous efforts may be necessary to improve the intensity of protection and management in the urban environment of Guangzhou.
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References
Bradford JB, Lauenroth WK, Burke IC (2005) The impact of cropping on primary production in the U.S. Great Plains. Ecology 86(7):1863–1872. https://doi.org/10.1890/04-0493
Chen BX, Zhang XZ, Tao J, Wu J, Wang J, Shi P, Zhang Y, Yu C (2014) The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai–Tibet plateau. Agric For Meteorol 189–190:11–18. https://doi.org/10.1016/j.agrformet.2014.01.002
Chen T, Huang QH, Liu M, Li M, Qu L’, Deng S, Chen D (2017) Decreasing net primary productivity in response to urbanization in Liaoning Province, China. Sustainability 9(2):162. https://doi.org/10.3390/su9020162
Chen XF, Chen JM, An SQ, Ju WM (2007) Effects of topography on simulated net primary productivity at landscape scale. J Environ Manag 85(3):585–596. https://doi.org/10.1016/j.jenvman.2006.04.026
Denman KL, Brasseur G, Chidthaisong A, et al (2007) Couplings between changes in the climate system and biogeochemistry. Climate change 2007: the physical science basis 21:499–587. Doi: cited by (since 1996) 525\rExport date 12 august 2012
Dewan AM, Yamaguchi Y (2009a) Land use and land cover change in greater Dhaka, Bangladesh: using remote sensing to promote sustainable urbanization. Appl Geogr 29(3):390–401. https://doi.org/10.1016/j.apgeog.2008.12.005
Dewan AM, Yamaguchi Y (2009b) Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka metropolitan of Bangladesh during 1960–2005. Environ Monit Assess 150(1-4):237–249. https://doi.org/10.1007/s10661-008-0226-5
Feng YF, Wu JS, Zhang J, Zhang X, Song C (2017) Identifying the relative contributions of climate and grazing to both direction and magnitude of alpine grassland productivity dynamics from 1993 to 2011 on the northern Tibetan plateau. Remote Sens 9(2):136. https://doi.org/10.3390/rs9020136
Field CB, Randerson JT, Malmström CM (1995) Global net primary production: combining ecology and remote sensing. Remote Sens Environ 51(1):74–88. https://doi.org/10.1016/0034-4257(94)00066-V
Fu G, Shen ZX, Zhang XL, Shi P, Zhang Y, Wu J (2011) Estimating air temperature of an alpine meadow on the northern Tibetan plateau using MODIS land surface temperature. Acta Ecol Sin 31(1):8–13. https://doi.org/10.1016/j.chnaes.2010.11.002
Fu YC, Lu XY, Zhao YL, Zeng X, Xia L (2013) Assessment impacts of weather and land use/land cover (LULC) change on urban vegetation net primary productivity (NPP): a case study in Guangzhou, China. Remote Sens 5(12):4125–4144. https://doi.org/10.3390/rs5084125
Gao QZ, Wan YF, Li Y, Guo Y, Ganjurjav, Qin X, Jiangcun W, Wang B (2013) Effects of topography and human activity on the net primary productivity (NPP) of alpine grassland in northern Tibet from 1981 to 2004. Int J Remote Sens 34(6):2057–2069. https://doi.org/10.1080/01431161.2012.734933
Gao ZQ, Liu JY (2008) A comparative study of Chinese vegetation net productivity. Chin Sci Bull 53:317–326
Garbulsky MF, Peñuelas J, Papale D, Ardö J, Goulden ML, Kiely G, Richardson AD, Rotenberg E, Veenendaal EM, Filella I (2010) Patterns and controls of the variability of radiation use efficiency and primary productivity across terrestrial ecosystems. Glob Ecol Biogeogr 19(2):253–267. https://doi.org/10.1111/j.1466-8238.2009.00504.x
Gong W, Wang LC, Lin AW, Zhang M (2012) Evaluating the monthly and interannual variation of net primary production in response to climate in Wuhan during 2001 to 2010. Geosci J 16(3):347–355. https://doi.org/10.1007/s12303-012-0025-4
Haberl H, Erb KH, Krausmann F, Gaube V, Bondeau A, Plutzar C, Gingrich S, Lucht W, Fischer-Kowalski M (2007) Quantifying and mapping the human appropriation of net primary production in earth’s terrestrial ecosystems. Proc Natl Acad Sci 104(31):12942–12947. https://doi.org/10.1073/pnas.0704243104
Hou GL, Li JY, Zhang YG (1993) China agricultural climate resources. China Renmin University Press, Beijing (in Chinese)
Hou GL, You SC (1990) Estimated plant productivity using the model of building climate. Nat Resour (in Chinese) 5:60–65
Houghton RA (2010) Changes in the storage of terrestrial carbon since 1850. Soils and global change. CRC Press, Boca Raton
Hua XB (2009) Quantifying the human appropriation of net primary production and analysis of its multi-year changes in Guangdong. Master thesis. Sun Yat-sen University (in Chinese)
Huete A, Didan K, Miura T, Rodriguez EP, Gao X, Ferreira LG (2002) Overview of the radiometric and biophysical performance of the MODIS vegetation indices. Remote Sens Environ 83(1-2):195–213. https://doi.org/10.1016/S0034-4257(02)00096-2
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(2):783–797. https://doi.org/10.1111/j.1365-2486.2010.02238.x
Imhoff ML, Bounoua L, DeFries R, Lawrence WT, Stutzer D, Tucker CJ, Ricketts T (2004) The consequences of urban land transformation on net primary productivity in the United States. Remote Sens Environ 89(4):434–443. https://doi.org/10.1016/j.rse.2003.10.015
Jiang C, Wu ZF (2015) Impacts of urbanization on net primary productivity in the Pearl River Delta, China. Int J Plant Product 9:581–598
Kendall MG (1975) Rank correlation methods. Griffin, London
Li J, Zhou ZX (2016) Natural and human impacts on ecosystem services in Guanzhong–Tianshui economic region of China. Environ Sci Pollut Res 23(7):6803–6815. https://doi.org/10.1007/s11356-015-5867-7
Li YY, Zhang H, Kainz W (2012) Monitoring patterns of urban heat islands of the fast-growing Shanghai metropolis, China: using time-series of Landsat TM/ETM+ data. Int J Appl Earth Obs Geoinf 19:127–138. https://doi.org/10.1016/j.jag.2012.05.001
Liang W, Yang YT, Fan DM, 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. https://doi.org/10.1016/j.agrformet.2015.01.015
Lu DS, Xu XF, Tian HQ, Moran E, Zhao M, Running S (2010) The effects of urbanization on net primary productivity in southeastern China. Environ Manag 46(3):404–410. https://doi.org/10.1007/s00267-010-9542-y
Lu QS, Gao ZQ, Ning JC, Bi X, Wang Q (2015) Impact of progressive urbanization and changing cropping systems on soil erosion and net primary production. Ecol Eng 75:187–194. https://doi.org/10.1016/j.ecoleng.2014.11.048
Mann HB (1945) Nonparametric tests against trend. Econometrica 13(3):245. https://doi.org/10.2307/1907187
Manning WJ (2011) Urban environment: defining its nature and problems and developing strategies to overcome obstacles to sustainability and quality of life. Environ Pollut 159(8-9):1963–1964. https://doi.org/10.1016/j.envpol.2011.04.002
Mao DH, Wang ZM, Li L, Song K, Jia M (2014) Quantitative assessment of human-induced impacts on marshes in Northeast China from 2000 to 2011. Ecol Eng 68:97–104. https://doi.org/10.1016/j.ecoleng.2014.03.010
Neeti N, Eastman JR (2011) A contextual Mann-Kendall approach for the assessment of trend significance in image time series. Trans GIS 15(5):599–611. https://doi.org/10.1111/j.1467-9671.2011.01280.x
Ni J (2003) Net primary productivity in forests of China: scaling-up of national inventory data and comparison with model predictions. For Ecol Manag 176(1-3):485–495. https://doi.org/10.1016/S0378-1127(02)00312-2
Nizeyimana E, Petersen GW, Imhoff ML et al (2001) Assessing the impact of land conversion to urban use on soils with different productivity levels in the USA. Soil Sci Soc Am J 65(2):391–402. https://doi.org/10.2136/sssaj2001.652391x
O’Neill DW, Abson DJ (2009) To settle or protect? A global analysis of net primary production in parks and urban areas. Ecol Econ 69(2):319–327. https://doi.org/10.1016/j.ecolecon.2009.08.028
O’Neill DW, Tyedmers PH, Beazley KF (2007) Human appropriation of net primary production (HANPP) in Nova Scotia, Canada. Reg Environ Chang 7(1):1–14. https://doi.org/10.1007/s10113-006-0021-1
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(4):275–285. https://doi.org/10.1631/jzus.B0910501
Piao SL, Fang JY, Zhou LM et al (2005) Changes in vegetation net primary productivity from 1982 to 1999 in China. Glob Biogeochem Cycles 19(2):1605–1622. https://doi.org/10.1029/2004GB002274
Piao SL, Sitch S, Ciais P, Friedlingstein P, Peylin P, Wang X, Ahlström A, Anav A, Canadell JG, Cong N, Huntingford C, Jung M, Levis S, Levy PE, Li J, Lin X, Lomas MR, Lu M, Luo Y, Ma Y, Myneni RB, Poulter B, Sun ZZ, Wang T, Viovy N, Zaehle S, Zeng N (2013) Evaluation of terrestrial carbon cycle models for their response to climate variability and to CO2 trends. Glob Chang Biol 19(7):2117–2132. https://doi.org/10.1111/gcb.12187
Pickett STA, Cadenasso ML, Grove JM, Nilon CH, Pouyat RV, Zipperer WC, Costanza R (2001) Urban ecological systems: linking terrestrial ecological, physical, and socioeconomic components of metropolitan areas. Annu Rev Ecol Syst 32(1):127–157. https://doi.org/10.1146/annurev.ecolsys.32.081501.114012
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(4):811–841. https://doi.org/10.1029/93GB02725
Prince SD (1991) A model of regional primary production for use with coarse resolution satellite data. Int J Remote Sens 12(6):1313–1330. https://doi.org/10.1080/01431169108929728
Rollinson CR, Liu Y, Raiho A, Moore DJP, McLachlan J, Bishop DA, Dye A, Matthes JH, Hessl A, Hickler T, Pederson N, Poulter B, Quaife T, Schaefer K, Steinkamp J, Dietze MC (2017) Emergent climate and CO2 sensitivities of net primary productivity in ecosystem models do not agree with empirical data in temperate forests of eastern North America. Glob Chang Biol 23(7):2755–2767. https://doi.org/10.1111/gcb.13626
Seto KC, Sánchez-Rodríguez R, Fragkias M (2010) The new geography of contemporary urbanization and the environment. Annu Rev Environ Resour 35(1):167–194. https://doi.org/10.1146/annurev-environ-100809-125336
Svirejeva-Hopkins A, Schellnhuber HJ, Pomaz VL (2004) Urbanised territories as a specific component of the global carbon cycle. Ecol Model 173(2-3):295–312. https://doi.org/10.1016/j.ecolmodel.2003.09.022
Tian GJ, Qiao Z (2014) Assessing the impact of the urbanization process on net primary productivity in China in 1989–2000. Environ Pollut 184:320–326. https://doi.org/10.1016/j.envpol.2013.09.012
Uchijima Z, Seino H (1985) Agroclimatic evaluation of net primary productivity of natural vegetations. J Agric Meteorol 40(4):343–352. https://doi.org/10.2480/agrmet.40.343
Verburg PH, Soepboer W, Veldkamp A et al (2002) Modeling the spatial dynamics of regional land use: the CLUE-S model. Environ Manag 30(3):391–405. https://doi.org/10.1007/s00267-002-2630-x
Wang J, Price KP, Rich PM (2001) Spatial patterns of NDVI in response to precipitation and temperature in the central Great Plains. Int J Remote Sens 22(18):3827–3844. https://doi.org/10.1080/01431160010007033
Wang J, Wang KL, Zhang MY, Zhang CH (2015) Impacts of climate change and human activities on vegetation cover in hilly southern China. Ecol Eng 81:451–461. https://doi.org/10.1016/j.ecoleng.2015.04.022
Wang LC, Gong W, Ma YY, Zhang M (2013) Modeling regional vegetation NPP variations and their relationships with climatic parameters in Wuhan, China. Earth Interact 17(4):1–20. https://doi.org/10.1175/2012EI000478.1
Wang SQ, Zhou L, Chen JM, Ju W, Feng X, Wu W (2011) Relationships between net primary productivity and stand age for several forest types and their influence on China’s carbon balance. J Environ Manag 92(6):1651–1662. https://doi.org/10.1016/j.jenvman.2011.01.024
Wang ZM, Wu JG, Madden M, Mao DH (2012) China’s wetlands: conservation plans and policy impacts. Ambio 41(7):782–786. https://doi.org/10.1007/s13280-012-0280-7
Wu SH, Zhou SL, Chen DX, 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. https://doi.org/10.1016/j.scitotenv.2013.10.128
Wu WJ, Zhao SQ, Zhu C, Jiang JL (2015) A comparative study of urban expansion in Beijing, Tianjin and Shijiazhuang over the past three decades. Landsc Urban Plan 134:93–106. https://doi.org/10.1016/j.landurbplan.2014.10.010
Wu YY, Li SY, Yu SX (2016) Monitoring urban expansion and its effects on land use and land cover changes in Guangzhou city, China. Environ Monit Assess 188(1):54. https://doi.org/10.1007/s10661-015-5069-2
Xiao R (2014) Spatiotemporal changes of soil and vegetation in response of anthropogenic activities. Zhejiang University. Zhejiang University
Xiong YZ, Huang SP, Chen F, Ye H, Wang C, Zhu C (2012) The impacts of rapid urbanization on the thermal environment: a remote sensing study of Guangzhou, South China. Remote Sens 4(12):2033–2056. https://doi.org/10.3390/rs4072033
Xu C, Liu M, An S, Chen JM, Yan P (2007) Assessing the impact of urbanization on regional net primary productivity in Jiangyin County, China. J Environ Manag 85(3):597–606. https://doi.org/10.1016/j.jenvman.2006.08.015
Yan H, Zhan J, Wu F, Yang H (2016) Effects of climate change and LUCC on terrestrial biomass in the lower Heihe River basin during 2001–2010. Energies 9(4):9–14. https://doi.org/10.3390/en9040260
Yao R, Wang L, Gui X, Zheng Y, Zhang H, Huang X (2017) Urbanization effects on vegetation and surface urban heat islands in China’s Yangtze River basin. Remote Sens 9(6):540. https://doi.org/10.3390/rs9060540
Yu DY, Shao HB, Shi PJ et al (2009) How does the conversion of land cover to urban use affect net primary productivity? A case study in Shenzhen city, China. Agric For Meteorol 149(11):2054–2060. https://doi.org/10.1016/j.agrformet.2009.07.012
Zhang J, Hu Y, Xiao X, Chen P, Han S, Song G, Yu G (2009) Satellite-based estimation of evapotranspiration of an old-growth temperate mixed forest. Agric For Meteorol 149(6-7):976–984. https://doi.org/10.1016/j.agrformet.2008.12.002
Zhao MS, Heinsch FA, Nemani RR, Running SW (2005) Improvements of the MODIS terrestrial gross and net primary production global data set. Remote Sens Environ 95(2):164–176. https://doi.org/10.1016/j.rse.2004.12.011
Zhao TT, Brown DG, Bergen KM (2007) Increasing gross primary production (GPP) in the urbanizing landscapes of southeastern Michigan. Photogramm Eng Remote Sens 73(10):1159–1167. https://doi.org/10.14358/PERS.73.10.1159
Zhao TT, Brown DG, Fang HL, Theobald DM, Liu T, Zhang T (2012) Vegetation productivity consequences of human settlement growth in the eastern United States. Landsc Ecol 27(8):1149–1165. https://doi.org/10.1007/s10980-012-9766-8
Zhou DC, Zhao SQ, Zhu C (2012) The grain for green project induced land cover change in the loess plateau: a case study with Ansai County, Shanxi Province, China. Ecol Indic 23:88–94. https://doi.org/10.1016/j.ecolind.2012.03.021
Zhou G, Zhang S (1995) A natural vegetation NPP model. Acta Phytoecol Sin 19:193–200
Zhu WQ, Pan YZ, He H, Yu D, Hu H (2006) Simulation of maximum light use efficiency for some typical vegetation types in China. Chin Sci Bull 51(4):457–463. https://doi.org/10.1007/s11434-006-0457-1
Zhu WQ, Pan YZ, Zhang JS (2007) Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing. Chin J Plant Ecol 31(3):413–424. https://doi.org/10.17521/cjpe.2007.0050
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This work was supported by the National Natural Science Foundation of China (41671430) and the Guangdong Province Science and Technology Plan Project (2016A050502065).
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Wu, Y., Wu, Z. Quantitative assessment of human-induced impacts based on net primary productivity in Guangzhou, China. Environ Sci Pollut Res 25, 11384–11399 (2018). https://doi.org/10.1007/s11356-018-1431-6
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DOI: https://doi.org/10.1007/s11356-018-1431-6