城市化背景下植被物候动态变化及驱动因素

doi:10.13287/j.1001-9332.202309.019

摘要/Abstract

摘要： 快速城市化会对植被物候带来显著影响,但当前影响城市植被物候时空变化的因素仍不清楚。本研究以京津冀城市群为研究区,采用5种拟合方法构建归一化植被指数曲线,通过阈值法获取京津冀城市群2001—2019年的城市植被物候特征,比较城市建成区与山区的春季和秋季物候,在此基础上分析降水、气温以及城市地表温度对植被物候的影响。结果表明: 2001—2019年,京津冀城市群城市建成区植被生长季开始日期(SOS)平均比山区早16.88 d,城市建成区植被生长季结束日期(EOS)比山区晚12.22 d。研究期间,京津冀城市建成区植被SOS逐步延迟,而山区SOS逐步提前,并且城市建成区物候的变化率比山区快,因此,二者SOS的差值随时间变化而显著减小(-0.58 d·a^-1);秋季物候方面,城市建成区和山区EOS都表现为延迟趋势,但二者差值随时间变化并不显著(-0.10 d·a^-1)。城市建成区地表温度对SOS的贡献与气温较为接近;而山区地表温度对SOS的贡献仅为气温的1/2,说明城市内部的热岛效应和气温共同影响城市植被物候的变化,并且二者贡献几乎相等。本研究结果有助于理解城市化对植被物候动态变化的作用,可为进一步评估城市植被碳汇潜力提供参考。

关键词: 物候, 城市化, 气温, 地表温度, 降水

Abstract: Rapid urbanization would have significant impacts on vegetation phenology. However, the factors influencing the spatiotemporal changes in urban vegetation phenology are still unclear. We used five fitting methods to construct normalized difference vegetation index (NDVI) curves in the Beijing-Tianjin-Hebei urban agglomeration, and obtained the phenology characteristics of urban vegetation in this area from 2001 to 2019 by the threshold method. We compared the spring and autumn phenology in urban built-up areas and hilly areas, and analyzed the effects of precipitation, air temperature, and land surface temperature (LST) on vegetation phenology. The results showed that from 2001 to 2019, the start of the growing season (SOS) in urban built-up areas in the Beijing-Tianjin-Hebei agglomeration was on average 16.88 days earlier than that in hilly areas, and that the end of the growing season (EOS) in urban built-up areas was 12.22 days later than that in hilly areas. During the study period, the SOS of vegetation in urban built-up areas of the Beijing-Tianjin-Hebei region had been gradually delayed, while that in hilly areas was gradually advanced, and the rate of change of phenology in the urban built-up areas was faster than that in the hilly areas. The difference between the SOS of the two areas decreased significantly over time (-0.58 d·a^-1). As for the EOS, the urban built-up areas and hilly areas both showed a trend of delayed, but the differences between them was not significant with time (-0.10 d·a^-1). The contribution of LST in the urban built-up areas to SOS was close to that of air temperature, while the contribution of LST in hilly areas to SOS was only 1/2 of that of air temperature, indicating that the heat island effect and air temperature within the city jointly influenced urban vegetation phenology, and their contributions were almost equal. The results could help understand the role of urbanization in the variations of vegetation phenology and provide a reference for further assessment of carbon sink potential of urban vegetation.

Key words: phenology, urbanization, air temperature, land surface temperature, precipitation

洪辛茜, 孙涛, 陈利顶. 城市化背景下植被物候动态变化及驱动因素[J]. 应用生态学报, 2023, 34(9): 2436-2444.

HONG Xinqian, SUN Tao, CHEN Liding. Dynamic changes and driving factors of land surface phenology under the background of urbanization[J]. Chinese Journal of Applied Ecology, 2023, 34(9): 2436-2444.

参考文献

[1] Sapkota A, Dong Y, Li L, et al. Association between changes in timing of spring onset and asthma hospitalization in Maryland. Journal of the American Medical Association Network Open, 2020, 3: e207551
[2] Zhao JC, Zhao X, Liang SL, et al. Assessing the thermal contributions of urban land cover types. Landscape and Urban Planning, 2020, 204: 103927
[3] Yang Y, Tao B, Liang L, et al. Detecting recent crop phenology dynamics in corn and soybean cropping systems of Kentucky. Remote Sensing, 2021, 13: 1615
[4] Jia WX, Zhao SQ, Zhang XY, et al. Urbanization imprint on land surface phenology: The urban-rural gradient analysis for Chinese cities. Global Change Biology, 2021, 27: 2895-2904
[5] Dhami I, Arano KG, Warner TA, et al. Phenology of trees and urbanization: A comparative study between New York City and Ithaca, New York. Geocarto International, 2011, 26: 507-526
[6] Ruan Y, Zhang X, Xin Q, et al. Enhanced vegetation growth in the urban environment across 32 cities in the northern hemisphere. Journal of Geophysical Research: Biogeosciences, 2019, 124: 3831-3846
[7] 胡召玲, 戴慧, 侯飞, 等. 中国东北城乡植被物候时空变化及其对地表温度的响应. 生态学报, 2020, 40(12): 4137-4145
[8] Wang SH, Ju WM, Penuelas J, et al. Urban-rural gradients reveal joint control of elevated CO₂ and temperature on extended photosynthetic seasons. Nature Ecology & Evolution, 2019, 3: 1076-1085
[9] Yang J, Luo X, Jin C, et al. Spatiotemporal patterns of vegetation phenology along the urban-rural gradient in Coastal Dalian, China. Urban Forestry & Urban Greening, 2020, 54: 126784
[10] Cong N, Wang T, Nan HJ, et al. Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: A multimethod analysis. Global Change Biology, 2013, 19: 881-891
[11] Zhang X, Zhu W, Zhang J, et al. Phenology of forest vegetation and its response to climate change in the Funiu mountains. Acta Geographica Sinica, 2018, 73: 41-53
[12] Fu YY, He HS, Zhao JJ, et al. Climate and spring phenology effects on autumn phenology in the Greater Khingan Mountains, Northeastern China. Remote Sensing, 2018, 10: 449
[13] Zhou ZX, Li YS, Jian R, et al. Growth controls over flowering phenology response to climate change in three temperate steppes along a precipitation gradient. Agricultural and Forest Meteorology, 2019, 274: 51-60
[14] Prieto P, Peñuelas J, Ogaya R, et al. Precipitation-dependent flowering of Globularia alypum and Erica multiflora in Mediterranean shrubland under experimental drought and warming, and its inter-annual variability. Annals of Botany, 2008, 102: 275-285
[15] Bao F, Xin ZM, Li JZ, et al. Effects of the simulated enhancement of precipitation on the phenology of Nitraria tangutorum under extremely dry and wet years. Plants, 2021, 10: 1474
[16] An S, Chen XQ, Zhang XY, et al. Precipitation and minimum temperature are primary climatic controls of alpine grassland autumn phenology on the Qinghai-Tibet Plateau. Remote Sensing, 2020, 12: 431
[17] Bradley AV, Gerard FF, Barbier N, et al. Relationships between phenology, radiation and precipitation in the Amazon region. Global Change Biology, 2011,17: 2245-2260
[18] Clinton N, Yu L, Fu H, et al. Global-scale associations of vegetation phenology with rainfall and temperature at a high spatio-temporal resolution. Remote Sensing. 2014, 6: 7320-7338
[19] 王贝贝, 周淑琴, 荆耀栋, 等. 山西省植被物候时空变化以及地形对物候的影响. 生态学杂志, 2021, 40(6): 1839-1848
[20] Brooks BGJ, Lee DC, Pomara LY, et al. Monitoring broadscale vegetational diversity and change across North American landscapes using land surface phenology. Forests, 2020, 11: 606
[21] Nuria V, Víctor M. Climatic risk in the Mexico city metropolitan area due to urbanization. Urban Climate, 2020, 33: 100644
[22] Oh SG, Son SW, Min SK. Possible impact of urbanization on extreme precipitation-temperature relationship in East Asian megacities. Weather and Climate Extremes, 2021, 34: 100401
[23] Zhang XY, Friedl MA, Schaaf CB, et al. The footprint of urban climates on vegetation phenology, Geophysical Research Letters, 2004, 31: L12209
[24] Walker JJ, de Beurs KM, Henebry GM. Land surface phenology along urban to rural gradients in the U.S. Great Plains. Remote Sensing of Environment, 2015, 165: 42-52
[25] Honour SL, Bell JNB, Ashenden TW, et al. Power Responses of herbaceous plants to urban air pollution: Effects on growth, phenology and leaf surface characteristics. Environmental Pollution ,2009, 157: 1279-1286
[26] Jochner S, Markevych I, Beck I, et al. The effects of short- and long-term air pollutants on plant phenology and leaf characteristics. Environmental Pollution, 2015, 206: 382-389
[27] Kim SY, Bang M, Wee JH, et al. Short- and long-term exposure to air pollution and lack of sunlight are associated with an increased risk of depression: A nested case-control study using meteorological data and national sample cohort data. Science of the Total Environment, 2021, 757: 143960
[28] Skvareninova J, Tuharska M, Skvarenina J, et al. Effects of light pollution on tree phenology in the urban environment. Moravian Geographical Reports, 2017, 25: 282-290
[29] Zheng Q, Teo HC, Koh LP. Artificial light at night advances spring phenology in the United States. Remote Sensing, 2021, 13: 399
[30] 徐宏超, 李春林, 王昊, 等. 土地利用变化对京津冀热环境时空演变的影响. 中国环境科学, 2023, 43(3): 1340-1348
[31] Liu RG, Liu Y. Generation of new cloud masks from MODIS land surface reflectance products. Remote Sen-sing of Environment, 2013, 133: 21-37
[32] Chen JM, Deng F, Chen M. Locally adjusted cubic-spline capping for reconstructing seasonal trajectories of a satellite-derived surface parameter. IEEE Transactions on Geoscience and Remote Sensing, 2006, 44: 2230-2238
[33] Shang R, Liu RG, Xu MZ, et al. The relationship between threshold-based and inflexion-based approaches for extraction of land surface phenology. Remote Sensing of Environment, 2017, 199: 167-170
[34] Li XC, Zhou YY, Asrar GR, et al. Characterizing spatiotemporal dynamics in phenology of urban ecosystems based on Landsat data. Science of the Total Environment, 2017, 605: 721-734
[35] Ding H, Xu L, Elmore AJ, et al. Vegetation phenology influenced by rapid urbanization of the Yangtze Delta Region. Remote Sensing, 2020, 12: 1783
[36] Cong N, Wang T, Nan HJ, et al. Changes in satellite-derived spring vegetation green-up date and its linkage to climate in China from 1982 to 2010: A multimethod analysis. Global Change Biology, 2013, 19: 881-891
[37] Piao SL, Tan JG, Chen AP, et al. Leaf onset in the northern hemisphere triggered by daytime temperature. Nature Communications, 2015, 6: 6911
[38] Qiu T, Song CH, Zhang YL, et al. Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities. Remote Sensing of Environment, 2020, 236: 111477
[39] Jia WX, Zhao SQ, Zhang XY, et al. Urbanization imprint on land surface phenology: The urban-rural gradient analysis for Chinese cities. Global Change Biology, 2021, 27: 2895-2904
[40] 李丹, 吴秀芹, 张靖宙, 等. 西南喀斯特断陷盆地植被物候动态变化及其与气候因子的响应. 水土保持研究, 2020, 27(6): 168-173
[41] Liang L, Henebry GM, Liu L, et al. Trends in land surface phenology across the conterminous United States (1982-2016) analyzed by NEON domains. Ecological Applications, 2021, 31: e02323
[42] Wang X, Du PJ, Chen DM, et al. Characterizing urbanization-induced land surface phenology change from time-series remotely sensed images at fine spatio-temporal scale: A case study in Nanjing, China (2001-2018). Journal of Cleaner Production, 2020, 274: 122487
[43] Fu YS, Zhou XC, Li XX, et al. Decreasing control of precipitation on grassland spring phenology in temperate China. Global Ecology and Biogeography, 2021, 30: 490-499
[44] Wohlfahrt G, Tomelleri E, Hammerle A. The urban imprint on plant phenology. Nature Ecology & Evolution, 2019, 3: 1668-1674
[45] Rice KE, Montgomery RA, Stefanski A, et al. Species-specific flowering phenology responses to experimental warming and drought alter herbaceous plant species overlap in a temperate-boreal forest community. Annals of Botany, 2021, 127: 203-211
[46] Piao SL, Liu Q, Chen AP, et al. Plant phenology and global climate change: Current progresses and challenges. Global Change Biology, 2019, 25: 1922-1940
[47] Zhou YY. Understanding urban plant phenology for sustainable cities and planet. Nature Climate Change, 2022, 12: 302-304
[48] Meng L, Mao J, Zhou Y, et al. Urban warming advances spring phenology but reduces the response of phenology to temperature in the conterminous United States. Proceedings of the National Academy of Sciences of the United States, 2020, 117: 4228-4233
[49] Su HD, Cao X, Wang DC, et al. Estimation of urbanization impacts on local weather: A case study in northern China (Jing-Jin-Ji District). Water, 2019, 11: 797
[50] Ji SP, Ren SL, Li YR, et al. Diverse responses of spring phenology to preseason drought and warming under different biomes in the North China Plain. Science of the Total Environment, 2021, 766: 144437
[51] 徐玲玲. 内蒙古中西部优势植物春季返青对降水的非线性响应. 生态学报, 2020, 40(24): 9120-9128
[52] Han G, Xu J. Land surface phenology and land surface temperature changes along an urban-rural gradient in Yangtze River Delta, China. Environmental Management, 2013, 52: 234-249
[53] Li X, Fan WY, Wang LC, et al. Effect of urban expansion on atmospheric humidity in Beijing-Tianjin-Hebei urban agglomeration. Science of the Total Environment, 2021, 759: 144305
[54] 孟丹, 刘芯蕊, 张聪聪. 北京市植物物候对热岛效应的响应. 生态学杂志, 2021, 40(3): 844-854
[55] Jin ML, Dickinson RE, Vogelmann AM. A comparison of CCM2-BATS skin temperature and surface-air temperature with satellite and surface observations. Journal of Climate, 1997, 10: 1505-1524