SU Fanjie,WANG Jiasheng,WANG Zhiming,et al.Temporal and Spatial Changes of Vegetation Phenology and Its Response to Climate Change in Nanpan River Basin from 2001 to 2020[J].Research of Soil and Water Conservation,2022,29(05):220-227.
2001-2020年南盘江流域植被物候时空变化及其对气候的响应
- Title:
- Temporal and Spatial Changes of Vegetation Phenology and Its Response to Climate Change in Nanpan River Basin from 2001 to 2020
- 文章编号:
- 1005-3409(2022)05-0220-08
- Keywords:
- phenological parameters; Nanpanjiang River Basin; climate change; temporal and spatial change characteristics
- 分类号:
- Q142.2
- 文献标志码:
- A
- 摘要:
- 植被物候对气候敏感易观测,是观测生态变化与全球气候变化的重要指标,研究植被物候变化及其对气候的响应对于了解全球气候变化与植被之间的复杂关系具有重要意义。为揭示近20年来南盘江流域植被物候时空变化及其对气候的响应特征,基于2001—2020年增强型植被指数(MOD13Q1-EVI),运用S-G滤波、动态阈值法、Sen斜率分析法、相关性分析法等方法,获取了南盘江流域植被物候参数,分析其时空分布特征,利用偏相关系数分析了气候变化对SOS,EOS的影响。结果表明:(1)2001—2020年,南盘江流域物候特征变化较大,SOS(Start of the growing season)呈提前趋势,EOS(End of the growing season)和LOS(Length of the growing season)呈推迟延长趋势,物候变化具有空间异质性,不同子流域植被物候存在较大差异。(2)植被物候变化受到地形的影响,EOS随海拔升高,结束时间提前; SOS随海拔变化的规律与LOS的规律相反,都存在1 000 m,2 000 m和2 600 m分界线。(3)南盘江流域SOS变化与气温、降水呈正相关关系,EOS与气温呈正相关关系、与降水呈负相关关系。该研究可为南盘江流域的生态环境保护与植被资源可持续发展提供科学依据。
- Abstract:
- Vegetation phenology is sensitive to climate and easy to be observed, which is an important index for observing ecological change and global climate change. It is of great significance for understanding the complex relationship between global climate change and vegetation to study the changes of vegetation phenological and its response to climate. To reveal the spatial and temporal changes of vegetation phenology and its response to climate in the Nanpan River Basin in the past 20 years, based on EVI(MOD13Q1-EVI)of 2001—2020, we took Nanpan River Basin as the study area, obtained the parameters of vegetation phenology and analyzed spatio-temporal distribution characteristics using S-G filter, dynamic threshold method, Sen slope analysis method and correlation analysis method, and analyzed the impact of climate changes on SOS(start of the growing season), EOS(end of the growing season)and LOS(length of the growing season)using partial correlation coefficient. The results showed:(1)from 2001 to 2020, the phenological characteristics of Nanpan River Basin changed greatly, with SOS advancing, EOS and LOS delaying and extending; the phenological changes had spatial heterogeneity, and the phenology of vegetation in different sub-basins was quite different;(2)vegetation phenology changes were affected by terrain, and EOS ended earlier with elevation; the pattern of SOS changing with altitude was opposite to that of LOS, and there were boundaries of 1 000 m, 2 000 m and 2 600 m;(3)the change of SOS in Nanpan River Basin was positively correlated with temperature and precipitation, while EOS was positively correlated with temperature and negatively correlated with precipitation. This study can provide a scientific basis for the ecological environment protection and sustainable development of vegetation resources in the Nanpan River Basin.
参考文献/References:
[1] 夏传福,李静,柳钦火.植被物候遥感监测研究进展[J].遥感学报,2013,17(1):1-16.
[2] Wang X, Xiao J, Li X, et al. No consistent evidence for advancing or delaying trends in spring phenology on the Tibetan Plateau[J]. Journal of Geophysical Research: Biogeosciences, 2017,122(12):3288-3305.
[3] He Z, Du J, Zhao W, et al. Assessing temperature sensitivity of subalpine shrub phenology in semi-arid mountain regions of China[J]. Agricultural and Forest Meteorology, 2015,213:42-52.
[4] Masson-Delmotte V, Zhai P, Pirani A, et al. Contribution of Working Group I to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change[R]. New York:Cambridge University Press, 2021.
[5] Wang X, Gao Q, Wang C, et al. Spatiotemporal patterns of vegetation phenology change and relationships with climate in the two transects of east China[J]. Global Ecology and Conservation, 2017,10:206-219.
[6] 李晓婷,陈骥,郭伟.不同气候类型下植物物候的影响因素综述[J].地球环境学报,2018,9(1):16-27.
[7] 管琪卉,丁明军,张华敏.青藏地区高寒草地春季物候时空变化及其对气候变化的响应[J].山地学报,2019,37(5):639-648.
[8] Mei L, Bao G, Tong S, et al. Elevation-dependent response of spring phenology to climate and its legacy effect on vegetation growth in the mountains of Northwest Mongolia[J]. Ecological Indicators, 2021,126:107640.DOI.10.1016/j.ecolind.2021.107640.
[9] Fu Y, Campioli M, Vitasse Y, et al. Variation in leaf flushing date influences autumnal senescence and next year's flushing date in two temperate tree species[J]. Proceedings of the National Academy of Ences.,2014,111(20):7355-7360.
[10] 李明,吴正方,杜海波,等.基于遥感方法的长白山地区植被物候期变化趋势研究[J].地理科学,2011,31(10):1242-1248.
[11] 王莹莹.基于MODIS数据的中国温带地区植被物候期时空变化及对GPP的影响[D].石家庄:河北师范大学,2019.
[12] 陆佩玲,于强,贺庆棠.植物物候对气候变化的响应[J].生态学报,2006,36(3):923-929.
[13] 董晓宇,姚华荣,戴君虎,等.2000—2017年内蒙古荒漠草原植被物候变化及对净初级生产力的影响[J].地理科学进展,2020,39(1):24-35.
[14] Piao S, Fang J, Zhou L, et al. Variations in Satellite-derived Phenology in China's Temperate Vegetation[J]. Global Change Biology, 2006,12(4):672-685.
[15] Ge Q, Wang H, Rutishauser T, et al. Phenological response to climate change in China:A Meta-analysis[J]. Global Change Biology, 2015,21(1):265-274.
[16] Yu H, Luedeling E, Xu J. Winter and spring warming result in delayed spring phenology on the Tibetan Plateau[J]. Proceedings of the National Academy of Sciences, 2010,107(51):22151-22156.
[17] Gong Z, Kawamura K, Ishikawa N, et al. Modis normalized difference vegetation index(NDVI)and vegetation phenology dynamics in the Inner Mongolia Grassland[J]. Solid Earth, 2015,6(4):1185-1194.
[18] 邵周玲,周文佐,李凤,等.2003—2018年米仓山地区植被物候时空变化及对气候的响应[J].生态学报,2021,41(9):3701-3712.
[19] 肖芳,桑婧,王海梅.气候变化对内蒙古鄂温克旗典型草原植物物候的影响[J].生态学报,2020,40(8):2784-2792.
[20] 陈晓鸿,李强,喇优抓.南盘江流域曲靖段土壤及农作物中重金属污染特征与生态风险评价[J].安徽农学通报,2020,26(15):126-132.
[21] 柴素盈,曹言,窦小东,等.1964—2017年南盘江流域主要极端气候事件时空演变特征[J].水土保持研究,2020,27(1):151-160.
[22] 窦小东,彭启洋,张万诚,等.基于情景分析的LUCC和气候变化对南盘江流域径流的影响[J].灾害学,2020,35(1):84-89.
[23] 朱德意.南盘江流域松栎混交林群落特征及主要种群空间格局研究[D].南宁:广西大学,2019.
[24] 贵州省地方志编纂委员会.贵州省志[Z].贵阳:贵州人民出版社,2006:910-911.
[25] 杨茂灵,王龙,高瑞,等.南盘江流域季节性干旱时空分布特征研究[J].人民长江,2013,44(11):5-8.
[26] Long D, Shen Y, Sun A, et al. Drought and flood monitoring for a large karst plateau in southwest china using extended grace data[J]. Remote Sensing of Environment, 2014,155:145-160.
[27] 弥智娟,郑涛,姜宏雷,等.牛栏江流域上游保护区“四型”小流域水土流失治理模式[J].水土保持通报,2021,41(1):219-226.
[28] O'callaghan J F, Mark D M. The extraction of drainage networks from digital elevation data[J]. Computer Vision, Graphics, and Image Processing, 1984,28(3):323-344.
[29] 黄聪.基于GIMMS NDVI3g数据东北地表物候变化研究[D].长春:东北师范大学,2015.
[30] 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[J].生态学杂志,2021,40(6):1839-1848.
[31] Liu Y, Wang Y, Peng J, et al. Correlations between urbanization and vegetation degradation across the world's metropolises using dmsp/ols nighttime light data[J]. Remote Sensing, 2015,7(2):2067-2088.
[32] 秦格霞,吴静,李纯斌,等.中国北方草地植被物候变化及其对气候变化的响应[J].应用生态学报,2019,30(12):4099-4107.
[33] 黄文琳,张强,孔冬冬,等.1982—2013年内蒙古地区植被物候对干旱变化的响应[J].生态学报,2019,39(13):4953-4965.
[34] Vrieling A, Meroni M, Darvishzadeh R, et al. Vegetation phenology from Sentinel-2 and field cameras for a Dutch barrier island[J]. Remote sensing of environment, 2018,215:517-529.
[35] 张艳可,王金亮,农兰萍,等.基于MODIS时序数据北回归线(云南段)地区植被物候时空变化及其对气候响应分析[J].生态环境学报,2021,30(2):274-287.
[36] Ge W, Han J, Zhang D, et al. Divergent impacts of droughts on vegetation phenology and productivity in the Yungui Plateau, Southwest China[J]. Ecological Indicators, 2021,127:107743.DOI: 10.1016/j.ecolind.2021.107743.
[37] 安淳淳.基于MODIS数据的青藏高原植被物候监测及其对气候变化的响应研究[D].北京:中国科学院大学(中国科学院水利部成都山地灾害与环境研究所),2019.
[38] 谢宝妮,秦占飞,王洋,等.基于遥感的黄土高原植被物候监测及其对气候变化的响应[J].农业工程学报,2015,31(15):153-160.
[39] 李建豪,陶建斌,程波,吴琪凡,彭宏杰.秦岭山区植被春季物候的海拔敏感性[J].应用生态学报,2021,32(6):2089-2097.
[40] Xu L, Myneni R B, Chapin Iii F S, et al. Temperature and vegetation seasonality diminishment over northern lands[J]. Nature climate change, 2013, 3(6):581-586.
[41] Wang X, Piao S, Ciais P, et al. Spring temperature change and its implication in the change of vegetation growth in north america from 1982 to 2006[J]. Proceedings of the National Academy of Sciences, 2011,108(4):1240-1245.
[42] Vitasse Y, François C, Delpierre N, et al. Assessing the effects of climate change on the phenology of European temperate trees[J]. Agricultural and Forest Meteorology, 2011,151(7):969-980.
[43] Wu C, Hou X, Peng D, et al. Land surface phenology of China's temperate ecosystems over 1999—2013: Spatial-temporal patterns, interaction effects, covariation with climate and implications for productivity[J]. Agricultural and Forest Meteorology, 2016,216:177-187.
[44] Fu G, Zhang X, Zhang Y, et al. Experimental warming does not enhance gross primary production and above-ground biomass in the alpine meadow of Tibet[J]. Journal of Applied Remote Sensing, 2013,7(1):73505. DOI: 10.1117/1.JRS.7.073505.
[45] Piao S, Ciais P, Huang Y, et al. The impacts of climate change on water resources and agriculture in China[J]. Nature, 2010,467(7311):43-51.
相似文献/References:
[1]柴素盈,曹 言,窦小东,等.1964-2017年南盘江流域主要极端气候事件时空演变特征[J].水土保持研究,2020,27(01):151.
CHAI Suying,CAO Yan,DOU Xiaodong,et al.Analysis Temporal and Spatial Changes of Extreme Climatic Events in Nanpan River Basin from 1964 to 2017[J].Research of Soil and Water Conservation,2020,27(05):151.
备注/Memo
收稿日期:2021-09-10 修回日期:2021-09-28
资助项目:国家自然科学基金(42071381,41961056)
第一作者:粟凡婕(1997—),女,广西桂林人,硕士研究生,主要从事遥感数字图像处理方面研究。E-mail:1075330080@qq.com
通信作者:杨昆(1963—),男,云南曲靖人,教授,博士导师,主要从事遥感数字图像处理方面研究。E-mail:kmdcynu@163.com