Please wait a minute...
Journal of Arid Land
Journal of Arid Land  2018, Vol. 10 Issue (5): 781-793    DOI: 10.1007/s40333-018-0022-1
Orginal Article     
Estimation of net primary productivity and its driving factors in the Ili River Valley, China
Wei JIAO1,2, Yaning CHEN1,*(), Weihong LI1, Chenggang ZHU1, Zhi LI1
1 State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China
2 School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China
Download: HTML     PDF(551KB)
Export: BibTeX | EndNote (RIS)      

Abstract  

Net primary productivity (NPP), as an important variable and ecological indicator in grassland ecosystems, can reflect environmental change and the carbon budget level. The Ili River Valley is a wetland nestled in the hinterland of the Eurasian continent, which responds sensitively to the global climate change. Understanding carbon budget and their responses to climate change in the ecosystem of Ili River Valley has a significant effect on the adaptability of future climate change and sustainable development. In this study, we calculated the NPP and analyzed its spatio-temporal pattern of the Ili River Valley during the period 2000-2014 using the normalized difference vegetation index (NDVI) and an improved Carnegie-Ames-Stanford (CASA) model. Results indicate that validation showed a good performance of CASA over the study region, with an overall coefficient of determination (R2) of 0.65 and root mean square error (RMSE) of 20.86 g C/(m2?a). Temporally, annual NPP of the Ili River Valley was 599.19 g C/(m2?a) and showed a decreasing trend from 2000 to 2014, with an annual decrease rate of -3.51 g C/(m2?a). However, the spatial variation was not consistent, in which 55.69% of the areas showed a decreasing tendency, 12.60% of the areas remained relatively stable and 31.71% appeared an increasing tendency. In addition, the decreasing trends in NPP were not continuous throughout the 15-year period, which was likely being caused by a shift in climate conditions. Precipitation was found to be the dominant climatic factor that controlled the inter-annual variability in NPP. Furthermore, the correlations between NPP and climate factors differed along the vertical zonal. In the medium-high altitudes of the Ili River Valley, the NPP was positively correlated to precipitation and negatively correlated to temperature and net radiation. In the low-altitude valley and high-altitude mountain areas, the NPP showed a negative correlation with precipitation and a weakly positive correlation with temperature and net radiation. The results suggested that the vegetation of the Ili River Valley degraded in recent years, and there was a more complex mechanism of local hydrothermal redistribution that controlled the growth of vegetation in this valley ecosystem.

Key words： net primary productivity      Carnegie-Ames-Stanford model      spatio-temporal pattern      climatic impacts      precipitation      normalized difference vegetation index     
Received: 31 May 2017      Published: 10 October 2018
Corresponding Authors: Yaning CHEN     E-mail: chenyn@ms.xjb.ac.cn
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Wei JIAO
Yaning CHEN
Weihong LI
Chenggang ZHU
Zhi LI
Cite this article:

Wei JIAO, Yaning CHEN, Weihong LI, Chenggang ZHU, Zhi LI. Estimation of net primary productivity and its driving factors in the Ili River Valley, China. Journal of Arid Land, 2018, 10(5): 781-793.

URL:

http://jal.xjegi.com/10.1007/s40333-018-0022-1     OR     http://jal.xjegi.com/Y2018/V10/I5/781

[1] Chen A J, Xiao J D, Cao M L.2016. Research on change of vegetation index and response to climate in Ili River valley based on MODIS data. Prataculture Science, 33(8): 1502-1508. (in Chinese)
[2] Chen Y N, Yang Q, Luo Y, et al.2012. Ponder on the issues of water resources in the arid region of northwest China. Arid Land Geography, 35(1): 1-9. (in Chinese)
[3] Chen Y N, Li Z, Fan Y T, et al.2014. Research progress on the impact of climate change on water resources in the arid region of Northwest China. Acta Geographica Sinica, 69(9): 1295-1304. (in Chinese)
[4] Chen Z S, Chen Y N, Li W H, et al.2010. Evaluating effect of land use change on environment in Ili valley based on ecosystem service value analysis. Journal of Desert Research, 30(4): 870-877. (in Chinese)
[5] Chen Z S, Chen Y N, Chen Y P, et al.2012. Response of ecological water requirement to land use change in the newly reclaimed area of Ili River basin in Xinjiang. Journal of Desert Research, 32(2): 551-557. (in Chinese)
[6] Cui L L, Shi J, Xiao F J.2018. Impacts of climatic factors and El Ni?o/La Ni?a events on the changes of terrestrial ecosystem NPP in China. Acta Geographic Sinica, 73(1): 54-66. (in Chinese)
[7] Du M J, Zheng J h, Ren X, et al.2018. Effects of topography on the distribution pattern of net primary productivity of grassland in Changji Prefecture, Xinjiang. Acta Ecological Sinica, 38(13): 1-11. (in Chinese)
[8] Fan Y J, Hou X Y, Shi H X, et al.2012. Effect of carbon cycling in grassland ecosystems on climate warming. Axta Prataculture Sinica, 21(3): 294-302. (in Chinese)
[9] Feng Y M, Yao A D, Jiang L.2014. Improving the CASA model and applying it to estimate the net primary productivity of arid region ecology system. Journal of Arid Land Resources and Environment, 28(8): 39-43. (in Chinese)
[10] Field C B, Randerson J T, Malmstrom C M.1995. Global net primary production: Combining ecology and remote sensing. Remote Sensing of Environment, 51(1): 74-88.
[11] Gang C C, Wang Z Q, Zhou W, et al.2015. Projecting the dynamics of terrestrial net primary productivity in response to future climate change under the RCP2.6 scenario. Environmental Earth Sciences, 74(7): 5949-5959.
[12] Gao Q Z, Wan Y F, Li Y.2007. Grassland net primary productivity and its spatiotemporal distribution in Northern Tibet: A study with CASA model. Chinese Journal of Applied Ecology, 18(11): 2526-2532. (in Chinese)
[13] Hatfield J L, Asrar G, Kanemasu E T.1984. Intercepted photosynthetically active radiation estimated by spectral reflectance. Remote Sensing of Environment, 14: 65-75.
[14] He C Y, Liu Z F, Xu M, et al.2017. Urban expansion brought stress to food security in China: evidence from decreased cropland net primary productivity. Science of the Total Environment, 576: 660-670.
[15] Jobbagy E G, Sala O E, Paruelo J M.2002. Patterns and controls of primary production in the Patagonian steppe: a remote sensing approach. Ecology, 83(2): 307-319.
[16] Lei H M, Huang M Y, Leung L R, et al.2014. Sensitivity of global terrestrial gross primary production to hydrologic states simulated by the Community Land Model using two runoff parameterizations. Journal of Advances in Modeling Earth Systems, 6(3): 658-679.
[17] Li D L, Yang J, Li W H, et al.2016. Evaluating the sensitivity of soil erosion in the Yili River valley based on GIS and USLE. Chinese Journal of Ecology, 35(4): 942-951. (in Chinese)
[18] Li P F, Sun X M, Zhao X Y.2012. Analysis of precipitation and potential evapotranspiration in arid and semi-arid area of China in recent 50 years. Journal of Arid Land Resources and Environment, 26(7): 57-63. (in Chinese)
[19] Li X, Zhu Z, Zeng H, et al.2016. Estimation of gross primary production in China (1982-2010) with multiple ecosystem models. Ecological Modelling, 324: 33-44.
[20] Li Y L, Pan X Z, Wang C K, et al.2014. Changes of vegetation net primary productivity and its driving factors from 2000 to 2011 in Guangxi, China. Acta Ecologica Sinica, 34(18): 5220-5228. (in Chinese)
[21] Li Z, Chen Y N, Wang Y, et al.2016. Dynamic changes in terrestrial net primary production and their effects on evapotranspiration. Hydrology and Earth System Sciences, 20(6): 2169-2178.
[22] Li Z S, Liu G H, Fu B J, et al.2011. The potential influence of seasonal climate variables on the net primary production of forests in eastern China. Environment Management, 48(6): 1173-1181.
[23] Liang W, Yang Y, Fan D, et al.2015. Analysis of spatial and temporal patterns of net primary production and their climate controls in China from 1982 to 2010. Agricultural and Forest Meteorology, 204: 22-36.
[24] Mu S J, Li J L, Yang H F.2013. Spatio-temporal variation analysis of grassland net primary productivity and its relationship with climate over the past 10 years in Inner Mongolia. Acta Prataculture Sinica, 22(3): 6-15. (in Chinese)
[25] Nemani R R, Keeling C D, Hashimoto H.2003. Climate-driven increases in global terrestrial net primary production from 1982 to 1999. Science, 300(5625): 1560-1563.
[26] Pan S F, Tian H Q, Dangal S R S, et al.2015. Impacts of climate variability and extremes on global net primary production in the first decade of the 21st century. Journal of Geographical Sciences, 25(9): 1027-1044.
[27] Piao S L, Ciais P, Lomas M, et al.2011. Contribution of climate change and rising CO2 to terrestrial carbon balance in East Asia: A multi-model analysis. Global and Planetary Change, 75(3-4): 133-142.
[28] Potter C S, Randerson J T, Field C B, et al.1993. Terrestrial ecosystem production: A process model based on global satellite and surface data. Global Biogeochemical Cycles, 7(4): 811-841.
[29] Ruimy A, Saugier B, Dedieu G.1994. Methodology for the estimation of terrestrial net primary production from remotely sensed data. Journal of Geophysical Research, 97(D3): 5263-5283.
[30] Statistic Bureau of Xinjiang Uygur Autonomous Region. 2010-2014. Xinjiang Statistical Yearbook. [2017-05-21]. . (in Chinese)
[31] Sun G J, Li W H, Zhu C G, et al.2016. Spatial variation analysis of topsoil bulk density in the Yili Valley, Xinjiang. Resources Science, 38(7): 1222-1228. (in Chinese)
[32] Sun H L, Li W H, Chen Y P, et al.2010. Response of ecological services value to land use change in the Ili River basin Xinjiang, China. Acta Ecologica Sinica, 30(4): 887-894. (in Chinese)
[33] Tang C J, Fu X Y, Jiang D, et al.2014. Simulating spatiotemporal dynamics of Sichuan grassland net primary productivity using the CASA model and in situ observations. The Scientific World Journal, 14(10): 1-12.
[34] Turner D P, Ritts W D, Cohen W B, et al.2005. Site-level evaluation of satellite-based global terrestrial gross primary production and net primary production monitoring. Global Change Biology, 11(4): 666-684.
[35] Wang D L, Liu W P, Huang X Y.2013. Trend analysis in vegetation cover in Beijing based on Sen+Mann-Kendall method. Computer Engineering and Applications, 49(5): 13-17. (in Chinese)
[36] Wang X S, Hu Z W, Zhao W J.2011. An integrated classification of grassland in large-scale based on MODIS EVI and multi-source data. Prataculture Science, 28(1):10-17. (in Chinese)
[37] Yan J J, Qiao M, Zhou H F.2013. Vegetation dynamics in Ili River valley of Xinjiang based on MODIS/NDVI. Arid Land Geography, 36(3): 512-519. (in Chinese)
[38] Yang Y H, Chen Y N, Li W H, et al.2010. Distribution of soil organic carbon under different vegetation zones in the Ili River Valley, Xinjiang. Journal of Geographical Sciences, 20(5): 729-740.
[39] Yang Y T, Long D, Guan H D, et al.2014. GRACE satellite observed hydrological controls on interannual and seasonal variability in surface greenness over mainland Australia. Journal of Geophysical Research: Biogeosciences, 119(12): 2245-2260.
[40] Yu D Y, Shao H B, Shi P J, et al.2009. How does the conversion of land cover to urban use affect net primary productivity? A case study in Shenzhen city, China. Agricultural and Forest Meteorology, 149(11): 2054-2060.
[41] Zhang F, Zhou G S, Wang Y H.2008. Dynamics simulation of net primary productivity by a satellite data-driven CASA model in inner Mongolian typical steppe, China. Journal of Plant Ecology, 32(4): 786-797. (in Chinese)
[42] Zhang W, Wang X H, Shen J X, et al.2012. Spatial-temporal differentiation rule and sustainable development of oasis agricultural eco-economic system: a case study of Yili prefecture, China. Economic Geography, 32(4): 136-142. (in Chinese)
[43] Zhang Y L, Wei Q, Zhou C P, et al.2013. Spatial and temporal variability in the net primary production (NPP) of alpine grassland on Tibetan Plateau from 1982 to 2009. Acta Geographica Sinica, 68(9): 1197-1211. (in Chinese)
[44] Zhao M, Running S W.2010. Drought-induced reduction in global terrestrial net primary production from 2000 through 2009. Science, 329(5994): 940-943.
[45] Zhou L L, Zhu H Z, Zhong H P, et al.2016. Spatial analysis of soil bulk density in Yili, Xinjiang Uygur Autonomous Region, China. Acta Prataculture Sinica, 25(1): 64-75. (in Chinese)
[46] Zhou W, Gang C C, Li J L, et al.2014. Spatial-temporal dynamics of grassland coverage and its response to climate change in China during 1982-2010. Acta Geographica Sinica, 69(1): 15-30. (in Chinese)
[47] Zhu W Q, Pan Y H, Long Z H, et al.2005. Estimating net primary productivity of terrestrial vegetation based on GIS and RS: A case study in Inner Mongolia, China. Journal of Remote Sensing, 9(3): 300-307. (in Chinese)
[48] Zhu W Q, Pan Y H, Hao H, et al.2006. Simulation of maximum light use efficiency for some typical vegetation types in China. Chinese Science Bulletin, 51(4): 457-463.
[49] Zhu W Q, Pan Y Z, Zhang J S.2007. Estimation of net primary productivity of Chinese terrestrial vegetation based on remote sensing. Journal of Plant Ecology, 31(3): 413-424. (in Chinese)
[1] WANG Junjie, SHI Bing, ZHAO Enjin, CHEN Xuguang, YANG Shaopeng. Synergistic effects of multiple driving factors on the runoff variations in the Yellow River Basin, China[J]. Journal of Arid Land, 2021, 13(8): 835-857.
[2] Brian COLLINS, Hadi RAMEZANI ETEDALI, Ameneh TAVAKOL, Abbas KAVIANI. Spatiotemporal variations of evapotranspiration and reference crop water requirement over 1957-2016 in Iran based on CRU TS gridded dataset[J]. Journal of Arid Land, 2021, 13(8): 858-878.
[3] Nirmal M DAHAL, XIONG Donghong, Nilhari NEUPANE, Belayneh YIGEZ, ZHANG Baojun, YUAN Yong, Saroj KOIRALA, LIU Lin, FANG Yiping. Spatiotemporal analysis of drought variability based on the standardized precipitation evapotranspiration index in the Koshi River Basin, Nepal[J]. Journal of Arid Land, 2021, 13(5): 433-454.
[4] Türkan BAYER ALTIN, Bekir N ALTIN. Response of hydrological drought to meteorological drought in the eastern Mediterranean Basin of Turkey[J]. Journal of Arid Land, 2021, 13(5): 470-486.
[5] JIAO Linlin, WANG Xunming, CAI Diwen, HUA Ting. Potential responses of vegetation to atmospheric aerosols in arid and semi-arid regions of Asia[J]. Journal of Arid Land, 2021, 13(5): 516-533.
[6] ZHOU Siyuan, DUAN Yufeng, ZHANG Yuxiu, GUO Jinjin. Vegetation dynamics of coal mining city in an arid desert region of Northwest China from 2000 to 2019[J]. Journal of Arid Land, 2021, 13(5): 534-547.
[7] Ayad M F AL-QURAISHI, Heman A GAZNAYEE, Mattia CRESPI. Drought trend analysis in a semi-arid area of Iraq based on Normalized Difference Vegetation Index, Normalized Difference Water Index and Standardized Precipitation Index[J]. Journal of Arid Land, 2021, 13(4): 413-430.
[8] XIANG Longwei, WANG Hansheng, JIANG Liming, SHEN Qiang, Holger STEFFEN, LI Zhen. Glacier mass balance in High Mountain Asia inferred from a GRACE release-6 gravity solution for the period 2002-2016[J]. Journal of Arid Land, 2021, 13(3): 224-238.
[9] TENG Zeyu, XIAO Shengchun, CHEN Xiaohong, HAN Chao. Soil bacterial characteristics between surface and subsurface soils along a precipitation gradient in the Alxa Desert, China[J]. Journal of Arid Land, 2021, 13(3): 257-273.
[10] HUANG Xiaotao, LUO Geping, CHEN Chunbo, PENG Jian, ZHANG Chujie, ZHOU Huakun, YAO Buqing, MA Zhen, XI Xiaoyan. How precipitation and grazing influence the ecological functions of drought-prone grasslands on the northern slopes of the Tianshan Mountains, China?[J]. Journal of Arid Land, 2021, 13(1): 88-97.
[11] Esmail HEYDARI ALAMDARLOO, Hassan KHOSRAVI, Sahar NASABPOUR, Ahmad GHOLAMI. Assessment of drought hazard, vulnerability and risk in Iran using GIS techniques[J]. Journal of Arid Land, 2020, 12(6): 984-1000.
[12] YANG Meilin, YU Yang, ZHANG Haiyan, WANG Qian, GAN Miao, YU Ruide. Tree ring based drought variability in Northwest Tajikistan since 1895 AD[J]. Journal of Arid Land, 2020, 12(3): 413-422.
[13] XU Lili, YU Guangming, ZHANG Wenjie, TU Zhenfa, TAN Wenxia. Change features of time-series climate variables from 1962 to 2016 in Inner Mongolia, China[J]. Journal of Arid Land, 2020, 12(1): 58-72.
[14] YANG Yuling, LI Minfei, MA Jingjing, CHENG Junhui, LIU Yunhua, JIA Hongtao, LI Ning, WU Hongqi, SUN Zongjiu, FAN Yanmin, SHENG Jiandong, JIANG Ping'an. Changes in the relationship between species richness and belowground biomass among grassland types and along environmental gradients in Xinjiang, Northwest China[J]. Journal of Arid Land, 2019, 11(6): 855-865.
[15] Qinli XIONG, Yang XIAO, Waseem A HALMY Marwa, A DAKHIL Mohammed, Pinghan LIANG, Chenggang LIU, Lin ZHANG, PANDEY Bikram, Kaiwen PAN, B EL KAFRAWAY Sameh, Jun CHEN. Monitoring the impact of climate change andhuman activities on grassland vegetation dynamics in the northeastern Qinghai-Tibet Plateauof China during 2000-2015[J]. Journal of Arid Land, 2019, 11(5): 637-651.