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Spatiotemporal Variation of Single-Season Rice Phenology in the Three Gorges Reservoir Area, China, During 1991–2010


Affiliations
1 Key Laboratory of Poyang Lake Wetland and Watershed Research (Ministry of Education), School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
2 Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 401122, China
 

Studying the spatiotemporal changes in crop phenology across the Three Gorges Reservoir Area, China, is important to understand how crops adapt to climate changes. Here, the single-season rice crop phenology at 27 national agro-meteorological experimental stations during 1991–2010 was examined. The sowing, emerging, tillering and maturity dates were delayed in 11, 13, 13 and 23 stations respectively, from the set of 27 studied stations. Additionally, the length of growth duration (GD) and the period from tillering to maturity (TTM) were elongated in 18 and 16 stations respectively. The tendency of TTM is similar with that of the GD. In-depth comparative analyses of the impact of climate changes were conducted between stations in the south of the reservoir. Correlation between the GD days and precipitation was occasionally found in Lichuan (R2 = 0.43) and Yuqing (R2 = 0.57). The results are of great significance to formulate national and regional socio-economic development plans and agricultural product import and export plans, and to guide and regulate macro-planting structures.

Keywords

Climate Change, Growth Duration, Phenology, Spatiotemporal Variation, Three Gorges Reservoir Area.
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  • Fu, Y. et al., Declining global warming effects on the phenology of spring leaf unfolding. Nature, 2015, 526(7571), 104–107.
  • Gross, E. M., Lahkar, B. P., Subedi, N., Nyirenda, V. R., Lichtenfeld, L. L. and Jakoby, O., Seasonality, crop type and crop phenology influence crop damage by wildlife herbivores in Africa and Asia. Biodivers. Conserv., 2018, 27(8), 2029-–2050.
  • Keenan, T. F. et al., Net carbon uptake has increased through warming-induced changes in temperate forest phenology. Nat. Clim. Change, 2014, 4(7), 598–604.
  • Wagner, M. R., Lundberg, D. S., Colemanderr, D., Tringe, S. G., Dangl, J. L. and Mitchellolds, T., Natural soil microbes alter flowering phenology and the intensity of selection on flowering time in a wild arabidopsis relative. Ecol. Lett., 2014, 17(6), 717–726.
  • Rezaei, E. E., Siebert, S. and Ewert, F., Climate and management interaction cause diverse crop phenology trends. Agr. Forest Meteorol., 2017, 233, 55–70.
  • Atzberger, C., Eilers and Paul, H. C., A time series for monitoring vegetation activity and phenology at 10-daily time steps covering large parts of South America. Int. J. Digit. Earth, 2011, 4, 365– 386.
  • Tang, J. M., Dynamic linkages between vegetation phenology and seasonal changes in water quality in the Choptank watershed, USA. Int. J. Remote Sens., 2015, 36, 3041–3057.
  • Koster, R. D. and Walker, G., Interactive vegetation phenology, soil moisture, and monthly temperature forecasts. J. Hydrometeorol., 2015, 16, 1456–1465.
  • Kamruzzaman, M., Osawa, A., Mouctar, K. and Sharma, S., Comparative reproductive phenology of subtropical mangrove communities at Manko wetland, Okinawa island, Japan. J. For. Res.JPN, 2017, 22(2), 118–125.
  • Hasegawa, K., Izumi, T., Matsuyama, H., Kajiwara, K. and Honda, Y., Seasonal change of bidirectional reflectance distribution function in mature Japanese larch forests and their phenology at the foot of Mt. Yatsugatake, Central Japan. Remote Sens. Environ., 2018, 209, 524–539.
  • Liu, Y., Chen, Q., Ge, Q. and Dai, J., Spatiotemporal differentiation of changes in wheat phenology in china under climate change from 1981 to 2010. Sci. China Earth Sci., 2018, 61(8), 1088–1097.
  • Chen, H., Zhang, Y., Peng, Y. and Corlett, R. T., Latitudinal effects on phenology near the northern limit of figs in china. Sci. Rep.-UK, 2018, 8(1), 4320.
  • Zhao, J. J., Zhang, H. Y. and Zhang, Z. X., Spatial and temporal changes in vegetation phenology at middle and high latitudes of the northern hemisphere over the past three decades. Remote Sens.-BASEL, 2015, 7(8), 10973–10995.
  • Wang, L. and Fensholt, R., Temporal changes in coupled vegetation phenology and productivity are biome-specific in the northern hemisphere. Remote Sens.-BASEL, 2017, 9(12), 1277.
  • König, P., Tautenhahn, S., Cornelissen, J., Kattge, J., Bönisch, G. and Römermann, C., Advances in flowering phenology across the northern hemisphere are explained by functional traits. Global Ecol. Biogeogr., 2018, 27(3), 310–321.
  • Parmesan, C. and Yohe, G., A globally coherent fingerprint of climate change impacts across natural systems. Nature, 2003, 421, 37–42.
  • Wang, S., Yang, B., Yang, Q., Lu, L., Wang, X. and Peng, Y., Temporal trends and spatial variability of vegetation phenology over the northern hemisphere during 1982–2012. PLoS ONE, 2016, 11(6), e0157134.
  • Chen, X., Liang, S. and Cao, Y., Satellite observed changes in the northern hemisphere snow cover phenology and the associated radiative forcing and feedback between 1982 and 2013. Environ. Res. Lett., 2016, 11(8), 084002.
  • Zelikova, T. J., Williams, D. G., Hoenigman, R., Blumenthal, D. M., Morgan, J. A. and Pendall, E., Seasonality of soil moisture mediates responses of ecosystem phenology to elevated CO2 and warming in a semi-arid grassland. J. Ecol., 2015, 103(5), 1119– 1130.
  • Xue, B. L., Guo, Q., Gong, Y., Hu, T., Liu, J. and Ohta, T., The influence of meteorology and phenology on net ecosystem exchange in an eastern Siberian boreal larch forest. J. Plant Ecol.UK, 2016, 318(1), 393–404.
  • Muhuddin, R. A. et al., Climate change impacts on phenology and yields of five broadacre crops at four climatologically distinct locations in Australia. Agr. Syst., 2015, 132, 133–144.
  • Liang, H. et al., Impacts of recent climate warming, cultivar changes, and crop management on winter wheat phenology across the Loess Plateau of China. Agr. Forest Meteorol., 2015, 200, 135–143.
  • Schmitz, C., Meijl, H. V., Kyle, P., Nelson, G. C., Fujimori, S. and Gurgel, A., Land-use change trajectories up to 2050: insights from a global agro-economic model comparison. Agr. Econ.Blackwell, 2014, 45(1), 69–84.
  • Meiyappan, P., Dalton, M., Neill, B. C. and Jain, A. K., Spatial modeling of agricultural land use change at global scale. Ecol. Model., 2014, 291, 152–174.
  • Ma, X., Huete, A., Moran, S., Ponce, C. G. and Eamus, D., Abrupt shifts in phenology and vegetation productivity under climate extremes. J. Geophys. Res.-Biogeo., 2015, 120(10), 2036–2052.
  • Guo, E., Zhang, J., Wang, Y., Si, A., Wang, R. and Li, D., Assessing non-linear variation of temperature and precipitation for different growth periods of maize and their impacts on phenology in the Midwest of Jilin province, china. Theor. Appl. Climatol., 2017, 132(3–4), 1–15.
  • Liu, Y., Qin, Y., Ge, Q., Dai, J. and Chen, Q., Reponses and sensitivities of maize phenology to climate change from 1981 to 2009 in Henan province, China. J. Geogr. Sci., 2017, 27(9), 1072–1084.
  • Augustine, K. E. and Kingsolver, J. G., Biogeography and phenology of oviposition preference and larval performance of pieris virginiensis, butterflies on native and invasive host plants. Biol. Invasions, 2018, 2(20), 413–422.
  • Sharifi, H., Hijmans, R. J., Hill, J. E. and Linquist, B. A., Water and air temperature impacts on rice (Oryza sativa) phenology. Paddy Water Environ., 2018, 16(3), 1–10.
  • Xu, X. B., Yan, T. and Yang, G., Environmental impact assessments of the Three Gorges Project in China: issues and interventions. Earth-Sci. Rev., 2013, 124, 115–125.
  • Fu, B. et al., Three Gorges Project: efforts and challenges for the environment. Prog. Phys. Geog., 2010, 34(6), 741–754.
  • Chen, J. et al., Assessing the transferability of support vector machine model for estimation of global solar radiation from air temperature. Energ. Convers. Manage., 2015, 89, 318–329.
  • Zhang, J. et al., Carbon storage by ecological service forests in Zhejiang Province, subtropical China. Forest Ecol. Manage., 2007, 245(1–3), 64–75.
  • Shen, X. et al., Asymmetric effects of daytime and nighttime warming on spring phenology in the temperate grasslands of China. Agr. Forest Meteorol., 2018, 259, 240–249.
  • Huang, J. and Hao, H., Detecting mismatches in the phenology of cotton bollworm larvae and cotton flowering in response to climate change. Int. J. Biometeorol., 2018, 3, 1–14.
  • Bargiel, D., A new method for crop classification combining time series of radar images and crop phenology information. Remote Sens. Environ., 2017, 198, 369–383.
  • Tariq, M. et al., The impact of climate warming and crop management on phenology of sunflower-based cropping systems in Punjab, Pakistan. Agr. Forest Meteorol., 2018, 256–257, 270–282.
  • Rezaei, E., Siebert, S., Hüging, H. and Ewert, F., Climate change effect on wheat phenology depends on cultivar change. Sci. Rep.UK, 2018, 8(1), 4891.
  • Luo, Q., OLeary, G., Cleverly, J. and Eamus, D., Effectiveness of time of sowing and cultivar choice for managing climate change: wheat crop phenology and water use efficiency. Int. J. Biometeorol., 2018, 62(6), 1049–1061.
  • Shuai, Z., Fulu, T. and Zhao, Z., Rice reproductive growth duration increased despite of negative impacts of climate warming across China during 1981–2009. Eur. J. Agron., 2014, 54, 70–83.
  • Liu, Q., Fu, Y., Zeng, Z., Huang, M., Li, X. and Piao, S., Temperature, precipitation, and insolation effects on autumn vegetation phenology in temperate china. Global Change Biol., 2016, 22(2), 644–655.
  • Tao, F., Zhang, S., Zhang, Z. and Rotter, R., Temporal and spatial changes of maize yield potentials and yield gaps in the past three decades in China. Agr. Ecosyst. Environ., 2015, 208, 12–20.
  • Liu, L., Wang, E., Zhi, Y. and Tang, L., Contrasting effects of warming and autonomous breeding on single-rice productivity in China. Agr.. Ecosyst. Environ., 2012, 149, 20–29.
  • Wang, J., Wang, E., Feng, L., Yin, H. and Yu, W., Phenological trends of winter wheat in response to varietal and temperature changes in the North China Plain. Field Crop. Res., 2013, 144, 135–144.
  • Zheng, Z. and Zhu, W., Uncertainty of remote sensing data in monitoring vegetation phenology: a comparison of modis c5 and c6 vegetation index products on the Tibetan plateau. Remote Sens.-BASEL, 2017, 9(12), 1288.
  • Liu, L. et al., Uncertainty in wheat phenology simulation induced by cultivar parameterization under climate warming. Eur. J. Agron., 2018, 50(3), 46–53.

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  • Spatiotemporal Variation of Single-Season Rice Phenology in the Three Gorges Reservoir Area, China, During 1991–2010

Abstract Views: 450  |  PDF Views: 122

Authors

Lei He
Key Laboratory of Poyang Lake Wetland and Watershed Research (Ministry of Education), School of Geography and Environment, Jiangxi Normal University, Nanchang 330022, China
Ji-Long Chen
Chongqing Institute of Green and Intelligent Technology, Chinese Academy of Sciences, Chongqing 401122, China

Abstract


Studying the spatiotemporal changes in crop phenology across the Three Gorges Reservoir Area, China, is important to understand how crops adapt to climate changes. Here, the single-season rice crop phenology at 27 national agro-meteorological experimental stations during 1991–2010 was examined. The sowing, emerging, tillering and maturity dates were delayed in 11, 13, 13 and 23 stations respectively, from the set of 27 studied stations. Additionally, the length of growth duration (GD) and the period from tillering to maturity (TTM) were elongated in 18 and 16 stations respectively. The tendency of TTM is similar with that of the GD. In-depth comparative analyses of the impact of climate changes were conducted between stations in the south of the reservoir. Correlation between the GD days and precipitation was occasionally found in Lichuan (R2 = 0.43) and Yuqing (R2 = 0.57). The results are of great significance to formulate national and regional socio-economic development plans and agricultural product import and export plans, and to guide and regulate macro-planting structures.

Keywords


Climate Change, Growth Duration, Phenology, Spatiotemporal Variation, Three Gorges Reservoir Area.

References





DOI: https://doi.org/10.18520/cs%2Fv117%2Fi8%2F1318-1323