Chinese Journal of Applied Ecology ›› 2023, Vol. 34 ›› Issue (9): 2436-2444.doi: 10.13287/j.1001-9332.202309.019
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HONG Xinqian1,2, SUN Tao3, CHEN Liding1,3,4*
Received:
2023-02-28
Revised:
2023-06-27
Online:
2023-09-15
Published:
2024-03-16
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.
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URL: https://www.cjae.net/EN/10.13287/j.1001-9332.202309.019
[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 |
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