克氏针茅草原植被物候变化及其对气温的响应

王进; 周广胜; 何奇瑾; 周莉; 买买提艾力·买买提依明; 孙帅; 王豫

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中国环境科学 ›› 2025, Vol. 45 ›› Issue (12) : 6832-6840.

环境生态

克氏针茅草原植被物候变化及其对气温的响应

王进¹, 周广胜², 何奇瑾^3,4, 周莉^2,5, 买买提艾力·买买提依明¹, 孙帅¹, 王豫¹

作者信息 +

Phenological dynamics of Stipa krylovii steppe and their responses to air temperature

WANG Jin¹, ZHOU Guang-sheng², HE Qi-jin^3,4, ZHOU Li^2,5, Ali Mamtimin¹, SUN Shuai¹, WANG Yu¹

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文章历史 +

摘要

基于2000~2024年MODIS NDVI遥感数据与地面物候观测资料,以内蒙古克氏针茅草原为研究对象,采用HANTS方法重建NDVI时间序列,并结合动态阈值法提取植被物候始期(SOS)与末期(EOS),评估并确定最优阈值,同时探讨其与平均最高和最低气温因子的关系.结果表明:(1)在50%和65%阈值下提取SOS和EOS的提取误差最小,RMSE分别为8和11d;(2)2000~2024年间,SOS以0.32d/10a的速率提前,EOS以0.12d/10a的速率推迟,表明草地生长季呈延长趋势;(3)EOS对气温变化的敏感性高于SOS,其中日间平均最高气温对EOS的提前作用明显强于夜间平均最低气温.该研究探索了遥感监测克氏针茅草原植被物候的最优阈值,揭示了气温主导下草地物候的变化规律,为气候变化背景下草地植被生产指导提供了依据.

Abstract

This study focuses on the phenological changes of Stipa krylovii steppe in Inner Mongolia and their responses to the maximum and the minimum air temperature, based on MODIS NDVI data and corresponding ground-based phenological observations from 2000 to 2024. The HANTS method was employed to reconstruct NDVI time series, and the start of season (SOS) and the end of season (EOS) were obtained using a dynamic threshold method. The results showed that: (1) the thresholds of 50% for SOS and 65% for EOS resulted in the lowest extraction errors, with RMSE values of 8d and 11d, respectively; (2) from 2000to 2024, the SOS advanced at a rate of 0.32d/10a, while the EOS was delayed at a rate of 0.12d/10a, indicating a prolonged growing season; (3) the EOS was more sensitive to air temperature than the SOS, the daytime mean maximum temperature had a significantly stronger advancing effect on EOS than the nighttime mean minimum temperature. This study determined the remote sensing-based optimal thresholds of Stipa krylovii steppe phenology, revealed the effect of air temperature on phenological change, and provided a scientific basis for steppe management under climate change.

导出引用

王进, 周广胜, 何奇瑾, 周莉, 买买提艾力·买买提依明, 孙帅, 王豫. 克氏针茅草原植被物候变化及其对气温的响应[J]. 中国环境科学. 2025, 45(12): 6832-6840

WANG Jin, ZHOU Guang-sheng, HE Qi-jin, ZHOU Li, Ali Mamtimin, SUN Shuai, WANG Yu. Phenological dynamics of Stipa krylovii steppe and their responses to air temperature[J]. China Environmental Science. 2025, 45(12): 6832-6840

中图分类号： X87

参考文献

[1] IPCC, 2013: Climate change 2013: The physical science basis. Contribution of working group l to the fifth assessment report of the lntergovernmental panel on climate change [R]. Cambridge: Cambridge University Press, 2013.
[2] Piao S L, Ciais P, Friedlingstein P, et al. Net carbon dioxide losses of northern ecosystems in response to autumn warming [J]. Nature, 2008,451(7174):49-52.
[3] Bosch A, Schmidt K, He J S, et al. Potential CO₂ emissions from defrosting permafrost soils of the Qinghai-Tibet Plateau under different scenarios of climate change in 2050 and 2070 [J]. Catena, 2017,149:221-231.
[4] Zhang M R, Zhang F, Guo L Y, et al. Contributions of climate change and human activities to grassland degradation and improvement from 2001 to 2020 in Zhaosu County, China [J]. Journal of Environmental Management, 2023,348:119465.
[5] O’Mara F P. The role of grasslands in food security and climate change [J]. Annals of Botany, 2012,110(6):1263-1270.
[6] 袁沫汐,文佐时,何利杰,等.中国温带草地物候对气候变化的响应及其对总初级生产力的贡献 [J]. 生态学报, 2024,44(1):354-376. Yuan M X, Wen Z S, He L J, et al. Response of temperate grassland phenology to climate change and its contribution to gross primary productivity in China [J]. Acta Ecologica Sinica, 2024,44(1):354-376.
[7] 丁明军,张镱锂,刘林山,等.青藏高原植物返青期变化及其对气候变化的响应 [J]. 气候变化研究进展, 2011,7(5):317. Ding M J, Zhang Y L, Liu L S, et al. Spatiotemporal changes of commencement of vegetation regreening andits response to climate change on Tibetan Plateau [J]. Climate Change Research, 2011,7(5): 317.
[8] Piao S L, Liu Q, Chen A P, et al. Plant phenology and global climate change: Current progresses and challenges [J]. Global Change Biology, 2019,25(6):1922-1940.
[9] Cleland E E, Chuine I, Menzel A, et al. Shifting plant phenology in response to global change [J]. Trends in Ecology & Evolution, 2007, 22(7):357-365.
[10] 程建刚,王学锋,龙红,等.气候变化对云南主要行业的影响 [J]. 云南师范大学学报(哲学社会科学版), 2010,42(3):1-20. Cheng J G, Wang X F, Long J, et al. The influence of weather changes on the key industries in yunnan [J]. Journal of Yunnan Normal University (Philosophy and Social Sciences), 2010,42(3):1-20.
[11] 王风兰.蒙古国杭爱山植被返青期变化及其影响因素分析 [D]. 呼和浩特:内蒙古师范大学, 2023. Wang F L. Analysis on the changes and influencing factors of start of growing season for vegetation in khangai mountain of mongolia [D]. Hohhot:Inner Mongolia Agricultural University, 2023.
[12] Richardson A D, Keenan T F, Migliavacca M, et al. Climate change, phenology, and phenological control of vegetation feedbacks to the climate system [J]. Agricultural and Forest Meteorology, 2013,169: 156-173.
[13] 协子昂,张超,冯绍元,等.植被物候遥感监测研究进展 [J]. 遥感技术与应用, 2023,38(1):1-14. Xie Z A, Zhang C, Feng S Y, et al. Reviews of methods for vegetation phenology monitoring from remote sensing data [J]. Remote Sensing Technology and Application, 2023,38(1):1-14.
[14] 谢志英,朱文泉,付永硕.植被物候遥感监测关键问题 [J]. 遥感学报, 2024,28(9):2131-2143. Xie Z Y, Zhu W Q, Fu Y S, et al. Key issues of remote sensing-based vegetation phenology monitoring [J]. Journal of Remote Sensing, 2024,28(9):2131-2143.
[15] 袁沫汐,赵林,李鑫鑫,等.1982~2015年中国温带不同草地植被枯黄期对极端气候事件的响应 [J]. 生态学报, 2023,43(14):6015-6032. Yuan M X, Zhao L, Li X X, et al. Diverse responses of end of growing season to extreme climate eventsin different grasslands in temperate China during 1982~2015 [J]. Acta Ecologica Sinica, 2023,43(14): 6015-6032.
[16] 花艺玮,孟丹,胡非凡,等.城市化背景下京津冀地区遥感植被物候的变化特征 [J]. 应用生态学报, 2025,36(3):693-702. Hua Y W, Meng D, Hu F F, et al. Changes of remote sensing vegetation phenology in Beijing-Tianjin Hebei region under the backgroundof urbanization [J]. Chinese Journal of Applied Ecology, 2025,36(3):693-702.
[17] 张晓春,况梦柯,史良胜,等.基于多源遥感NDVI时序曲线特征的田区尺度冬小麦物候期提取 [J]. 农业工程学报, 2025,41(1):181-191. Zhang X C, Kuang M K, Shi L S, et al. Extracting the phenological periods of winter wheat at field scale based onthe characteristics of NDVI time series curves from multisource remotesensing images [J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions ofthe CSAE), 2025,41(1):181-191.
[18] 王晴晴,高燕,王嵘.全球变化对食物网结构影响机制的研究进展 [J]. 植物生态学报, 2021,45(10):1064-1074. Wang Q Q, Gao Y, Wang R, et al. Review on impacts of global change on food web structure [J]. Chinese Journal of Plant Ecology, 2021, 45(10):1064-1074.
[19] Renner S S, Zohner C M. Climate change and phenological mismatch in trophic interactions among plants, insects, and vertebrates [J]. Annual Review of Ecology, Evolution, and Systematics, 2018,49(1): 165-182.
[20] 邓晨晖,白红英,高山,等.1964~2015年气候因子对秦岭地区植物物候的综合影响效应 [J]. 地理学报, 2018,73(5):917-931. Deng C H, Bai H Y, Gao S, et al. Comprehensive effect of climatic factors on plant phenology in Qingling Mountains regon during 1964~2015 (in chinese). Acta Geogr sin, 2018,73:917-931.
[21] Shi C G, Sun G, Zhang H X, et al. Effects of warming on Chlorophyll degradation and carbohydrate accumulation of alpine herbaceous species during plant senescence on the Tibetan Plateau [J]. Plos One, 2014,9(9):e107874.
[22] Walker M D, Ingersoll R C, Webber P J. Effects of interannual climate variation on phenology and growth of two alpine forbs [J]. Ecology, 1995,76(4):1067-1083.
[23] Gill A L, Gallinat A S, Sanders-DeMott R, et al. Changes in autumn senescence in northern hemisphere deciduous trees: a meta-analysis of autumn phenology studies [J]. Annals of Botany, 2015,116(6):875-888.
[24] Jeong S J, Ho C H, Gim H J, et al. Phenology shifts at start vs. end of growing season in temperate vegetation over the Northern Hemisphere for the period 1982~2008: Phenology shifts at start vs. end of growing season [J]. Global Change Biology, 2011,17 (7):2385-2399.
[25] Menzel A, Sparks T H, Estrella N, et al. European phenological response to climate change matches the warming pattern [J]. Global Change Biology, 2006,12(10):1969-1976.
[26] Piao S L, Fang J Y, Zhou L M, et al. Variations in satellite‐derived phenology in China’s temperate vegetation [J]. Global Change Biology, 2006,12(4):672-685.
[27] 梁艳,干珠扎布,张伟娜,等.气候变化对中国草原生态系统影响研究综述 [J]. 中国农业科技导报, 2014,16(2):1-8. Liang Y, Ganjurjav, Zhang W N, et al. A review on effect of climate change on grassland ecosystem in china [J]. Journal of Agricultural Science and Technology, 2014,16(2):1-8.
[28] 曹晓云,周秉荣,周华坤,等.气候变化对青藏高原植被生态系统的影响研究进展 [J]. 干旱气象, 2022,40(6):1068-1080. Cao X Y, Zhou B R, Zhou H K, et al. Research progress on the impact of climate change on vegetation ecosystem in the Tibetan Plateau [J]. journal of Arid Meteorology, 2022,40(6):1068-1080.
[29] 刘建文,周玉科.站点尺度的青藏高原时序NDVI重构方法比较与应用 [J]. 地理科学进展, 2018,37(3):427-437. Liu J W, Zhou Y K. Comparison and application of NDVltime-series reconstruction methods at site scale on the Tibetan Plateau [J]. Progress in Geography, 2018,37(3):427-437.
[30] 张峰,周广胜,王玉辉.内蒙古克氏针茅草原植物物候及其与气候因子关系 [J]. 植物生态学报, 2008,(6):1312-1322. Zhang F, Zhou G S, Wang Y H. Phenilogical calendar of stipa krylovil steppe ininner Mongolia, China and its correlation with climatic variables [J]. Chinese Journal of Plant Ecology, 2008,(6):1312-1322.
[31] Ren S L, Yi S H, Peichl M, et al. Diverse responses of vegetation phenology to climate change in different grasslands in Inner Mongolia during 2000~2016 [J]. Remote Sensing, 2018,10(1):17.
[32] Ge Q S, Wang H J, Rutishauser T, et al. Phenological response to climate change in China: A meta-analysis [J]. Global Change Biology, 2015,21(1):265-274.
[33] Hovenden M J, Wills K E, Vander Schoor J K, et al. Flowering phenology in a species-rich temperate grassland is sensitive to warming but not elevated CO₂ [J]. New Phytologist, 2008,178(4): 815-822.
[34] Cleland E E, Chiariello R N, Loarie S R, et al. Diverse responses of phenology to global changes in a grassland ecosystem [J]. Proceedings of the National Academy of Sciences, 2006,103(37): 13740-13744.
[35] 宛敏谓,刘秀珍.中国物候观测方法 [M]. 北京:科学出版社, 1979. Wan M W, Llu X Z. Chinese phenological observation method [M]. Beijing: Science Press, 1979.
[36] Zhu W Q, Mou M J, Wang L L, et al. Evaluation of phenology extracting methods from vegetation index time series [C]//2012IEEE International Geoscience and Remote Sensing Symposium. Munich, Germany: IEEE, 2012:1158-1161.
[37] 郭剑,陈实,徐斌,等.基于SPOT-VGT数据的锡林郭勒盟草原返青期遥感监测 [J]. 地理研究, 2017,36(1):37-48. Guo J, Chen S, Xu B, et al. Remote sensing monitoring of grassland vegetation greenup based on SPOT-VGT in Xilingol League [J]. Geographical Research, 2017,36(1):37-48.
[38] 范瑛,李小雁,李广泳.基于遥感数据的内蒙古草原灌丛物候变化研究 [J]. 干旱气象, 2014,32(6):902-908. Fan Y, Li X Y, Li G Y. Variation characteristics of shrub phenologyd in grassland of Inner Mongolia based on MODlS [J]. Journal of Arid Meteorology, 2014,32(6):902-908.
[39] 孙秀云,刘海新,赵玉玲,等.锡林郭勒盟草地物候期的时空演变及其对气候的响应 [J]. 河北工程大学学报(自然科学版), 2019,36(2): 79-82. Sun X Y, Liu H X, Zhao Y l, et al. Spatio-temporal evolution of grassland phenology and its response to meteorological factors in Xilin Gol league [J]. Journal of Hebei University of Engineering (Natural science Edition), 2019,36(2):79-82.
[40] 袁艳峰,胡永红,王鹤松,等.高温热浪对北欧极地植被生产力的影响 [J]. 生态环境学报, 2025,34(6):831-844. Yuan Y F, Hu Y H, Wang H S, et al. Impact of heat waves on vegetation productivity in northern europe [J]. Ecology and Environmental Sciences, 2025,34(6):831-844.
[41] 乌日汗,红雨,包刚.2001~2016年内蒙古植被物候变化及其对生产力的影响 [J]. 草地学报, 2019,27(6):1685-1693. Wu R H, Hong Y, Bao G. The change of vegetation phenology and its impacts on vegetation productivity in lnner Mongolia during 2001~ 2016 [J]. Acta Agrestia Sinica, 2019,27(6):1685-1693.
[42] 邵亚婷,王卷乐.内蒙古植被物候数据集(2001~2020年) [J]. 中国科学数据, 2023,8(1):44-52. Shao Y T, Wang J L. A dataset of vegetation phenology of Inner Mongolia (2001~2020) [J]. China Scientific Data, 2023,8(1):44-52.
[43] 王凯锋,包刚,元志辉,等.内蒙古植被春季返青期和秋季枯黄期的气候敏感性研究 [J]. 草业学报, 2023,32(4):30-41. Wang K F, Bao G, Yuan Z H, et al. Climate sensivity of the start of the growing season in spring and the end of the growing season in autumn for vegetation in Inner Mongolia [J]. Acta Prataculturae Sinica, 2023,32(4):30-41.
[44] 李净,刘红兵,李彩云,等.基于GIMMS 3g NDVI的近30年中国北部植被生长季始期变化研究 [J]. 地理科学, 2017,37(4):620-629. Liu H B, Li C Y, et al. Changes of green-up day of vegetation growing season based on GlMlS 3g NDVl in northern chinain recentg NDVl in northern China in recent 30 years [J]. Scientia Geographica Sinica, 2017,37(4):620-629.
[45] 李慧敏,魏江生,张勇,等.土壤水分和水汽压亏缺对大兴安岭南段白桦林分蒸腾主导作用研究 [J]. 干旱区资源与环境, 2025,39(6): 166-174. Li H M, Wel J S, Zhang Y, et al. Predominant influence of soil moisture and vapor pressure deficit on the transpiration dynamics of Betula platyphylla stands in the southern region of the Greater Khingan Mountains [J]. Journal of Arid Land Resources and Environment, 2025,39(6):166-174.
[46] 李君,徐巾喻,石松林,等.气候变化对濒危植物长叶云杉径向生长的影响 [J]. 生态学报, 2025,45(14):6808-6821. Li J, Xu J Y, Shi S L, et al. Effects of climate change on the radial growth of the endangered longleaf spruce [J]. Journal of Ecology, 2025,45(14):6808-6821.
[47] 王澄海,冯祥.土壤温、湿度调控土壤呼吸过程的参数化进展及趋势 [J]. 中国科学:地球科学, 2025,55(6):1817-1836. Wang C H, Feng X. Progress and perspective in parameterizing soil respiration responses to temperature and moisture [J]. Science China Earth Sciences, 2025,55(6):1817-1836.
[48] 陈硕,赵文武,韩逸.中国干旱半干旱区植被降水利用效率时空变化特征及影响因素分析 [J]. 生态学报, 2023,43(24):10295-10307. Chen S, Zhao W W, Han Y. Spatio-temporal variation of vegetation precipitation use efficiency and influencing factors in arid and semi-arid areas of China [J]. Acta Ecologica Sinica, 2023,43(24): 10295-10307.
[49] 顾文杰,周广胜,吕晓敏,等.克氏针茅物候对气候变暖和水分变化的响应及其光合生理生态机制 [J]. 生态学报, 2022,42(20):8322-8330. Gu W J, Zhou G S, Lv X M, et al. Photosynthetically ecophysiological mechanism of stipa krylovil phenology in response to climatic warming and precipitation alterationy [J]. Acta Ecologica sinica, 2022,42(20):8322-8330.
[50] Sun W Y, Song X Y, Mu X M, et al. Spatiotemporal vegetation cover variations associated with climate change and ecological restoration in the Loess Plateau [J]. Agricultural and Forest Meteorology, 2015,209-210:87-99.
[51] Cochard H, Coll L, Le Roux X, et al. Unraveling the effects of plant hydraulics on stomatal closure during water stress in walnut.[J]. Plant Physiology, 2002,128(1):282-290.