Vegetation phenology dynamic and its responses to meteorological factor changes in the Mu Us Desert of northern China

Zhu Yakun; Qin Shugao; Zhang Yuqing; Zhang Jutao; Shao Yanying; Gao Yan

doi:10.13332/j.1000-1522.20180020

Journal of Beijing Forestry University > 2018 > 40(9): 98-106. > DOI: 10.13332/j.1000-1522.20180020

Zhu Yakun, Qin Shugao, Zhang Yuqing, Zhang Jutao, Shao Yanying, Gao Yan. Vegetation phenology dynamic and its responses to meteorological factor changes in the Mu Us Desert of northern China[J]. Journal of Beijing Forestry University, 2018, 40(9): 98-106. DOI: 10.13332/j.1000-1522.20180020

Citation:

PDF (4490 KB)

Vegetation phenology dynamic and its responses to meteorological factor changes in the Mu Us Desert of northern China

1.
Yanchi Research Station, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China
2.
Key Laboratory of State Forestry Administration on Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China

More Information

Received Date: January 15, 2018
Revised Date: March 11, 2018
Published Date: August 31, 2018

Graphical Abstract

Abstract

Abstract

ObjectiveMonitoring regional vegetation phenology in sand area and determining the relations between vegetation phenology and meteorological factors are crucial to understand the dynamic response of sand area ecosystem to climate change.
MethodIn this study, through normalized difference vegetation index (NDVI) time series data, we extracted vegetation phenology by Polyfit-Maximum method, and analyzed the trends and relationships between vegetation phenology and climatic factors (air temperature and precipitation) in the Mu Us Desert of northern China over the past three decades (1982-2015).
ResultIn the Mu Us Desert, The beginning date of growing season concentrated in the 96th-144th day, the ending date of growing season concentrated in the 280th-300th day, and the length of growing season ranged in 135-195 days. From east to west, the beginning date of growing season postponed gradually and growing season length shortened gradually, while there was no obvious change in the ending date of growing season. In the past 34 years, the beginning date and length of growing season for vegetation in the Mu Us Desert showed significantly advanced and prolonged trend, and the changing rates were 0.54 day/year and 0.94 day/year, respectively. While the ending date of growing season showed postponed trend but not delayed obviously. The beginning date of growing season for vegetation in the Mu Us Desert was mainly affected by the mean air temperature from February to April, and its ending date was mainly affected by the accumulated precipitation from August to October.
ConclusionThe vegetation phenology characteristics have changed significantly in Mu Us Desert, which was mainly reflected in the advancement and extension of growing season. This will promote the vegetation restoration and desertification reversion in the study area.
- NDVI,
- vegetation phenology,
- Mu Us Desert,
- meteorological factor,
- spatiotemporal dynamics

FullText(HTML)

References (37)

References

[1]	Wan M W, Liu X Z.Observation method of the phenology in China[M]. Beijing: Science Press, 1979:1.
[2]	Cong N, Piao S, Chen A, et al. Spring vegetation green-up date in China inferred from SPOT NDVI data: a multiple model analysis[J]. Agricultural and Forest Meteorology, 2012, 165:104-113. doi: 10.1016/j.agrformet.2012.06.009
[3]	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, 2010, 12(4):672-685. http://cn.bing.com/academic/profile?id=59cdfdb4db3cdd16879116ff2c8c0a17&encoded=0&v=paper_preview&mkt=zh-cn
[4]	Miao G S, Geng X Z, Nan C, et al. Increasing altitudinal gradient of spring vegetation phenology during the last decade on the Qinghai-Tibetan Plateau[J]. Agricultural and Forest Meteorology, 2014, 189:71-80. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=48d15a73cb0e805043a6ed42f0a61866
[5]	许青云, 杨贵军, 龙慧灵, 等.基于MODIS NDVI多年时序数据的农作物种植识别[J].农业工程学报, 2014, 30(11):134-144. doi: 10.3969/j.issn.1002-6819.2014.11.017 Xu Q Y, Yang G J, Long H L, et al. Crop information identification based on MODIS NDVI time-series data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(11): 134-144. doi: 10.3969/j.issn.1002-6819.2014.11.017
[6]	陈静茹, 杜彦君, 张玉红, 等.黑龙江木本植物盛花期对气候变暖的响应[J].北京林业大学学报, 2016, 38(11):50-56. doi: 10.13332/j.1000-1522.20160186 Chen J R, Du Y J, Zhang Y H, et al, Response of woody plant flowering season to climate warming in Heilongjiang[J]. Journal of Beijing Forestry University, 2016, 38(11):50-56. doi: 10.13332/j.1000-1522.20160186
[7]	康峻, 牛铮, 高帅, 等.基于拟合物候参数的植被遥感决策树分类[J].农业工程学报, 2014, 30(9):148-156. doi: 10.3969/j.issn.1002-6819.2014.09.019 Kang J, Niu Z, Gao S, et al. Decision tree classification based on fitted phenology parameters from remotely sensed vegetation data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2014, 30(9): 148-156. doi: 10.3969/j.issn.1002-6819.2014.09.019
[8]	宋富强, 康慕谊, 杨朋, 等.陕北地区GIMMS、SPOT-VGT和MODIS归一化植被指数的差异分析[J].北京林业大学学报, 2010, 32(4):72-80. http://j.bjfu.edu.cn/article/id/9419 Song F Q, Kang M Y, Yang P, et al. Analysis of GIMMS, SPOT-VGT and MODIS normalized difference vegetation index in Northern Shanxi[J]. Journal of Beijing Forestry University, 2010, 32(4):72-80. http://j.bjfu.edu.cn/article/id/9419
[9]	王鸽, 韩琳, 张昱.东北地区地表NDVI的时空变化规律[J].北京林业大学学报, 2012, 34(6):86-91. http://j.bjfu.edu.cn/article/id/9846 Wang G, Han L, Zhang Y. Temporal and spatial variation of surface NDVI in Northeast China[J]. Journal of Beijing Forestry University, 2012, 34(6):86-91. http://j.bjfu.edu.cn/article/id/9846
[10]	Guo L, Dai J, Wang M, et al. Responses of spring phenology in temperate zone trees to climate warming: a case study of apricot flowering in China[J]. Agricultural and Forest Meteorology, 2015, 201:1-7. http://cn.bing.com/academic/profile?id=6df719d9343ed8818e3966e81c6fc90b&encoded=0&v=paper_preview&mkt=zh-cn
[11]	刘峻明, 李曼曼, 王鹏新, 等.基于LAI时间序列重构数据的冬小麦物候监测[J].农业工程学报, 2013, 29(19):120-129. doi: 10.3969/j.issn.1002-6819.2013.19.015 Liu J M, Li M M, Wang P X, et al. Monitoring of phenology by reconstructing LAI time series data for winter wheat[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(19): 120-129. doi: 10.3969/j.issn.1002-6819.2013.19.015
[12]	Heumann B W, Seaquist J W, Eklundh L, et al. AVHRR derived phenological change in the Sahel and Soudan, Africa, 1982-2005[J]. Remote Sensing of Environment, 2007, 108(4):385-392. doi: 10.1016/j.rse.2006.11.025
[13]	Lee R, Yu F, Price K P, et al. Evaluating vegetation phenological patterns in Inner Mongolia using NDVI time-series analysis[J]. International Journal of Remote Sensing, 2002, 23(12): 2505-2512. doi: 10.1080/01431160110106087
[14]	Kim Y, Kimball J S, Didan K, et al. Response of vegetation growth and productivity to spring climate indicators in the conterminous United States derived from satellite remote sensing data fusion[J]. Agricultural and Forest Meteorology, 2014, 194:132-143. doi: 10.1016/j.agrformet.2014.04.001
[15]	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. doi: 10.1111/gcb.2006.12.issue-10
[16]	宋春桥, 游松财, 柯灵红, 等.藏北高原植被物候时空动态变化的遥感监测研究[J].植物生态学报, 2011, 35(8):853-863. doi: 10.1079-SSR2002117/ Song C Q, You S C, Ke L H, et al. Study on temporal and spatial dynamic changes of vegetation phenology in northern Tibet by remote sensing[J]. Chinese Journal of Plant Ecology, 2011, 35(8):853-863. doi: 10.1079-SSR2002117/
[17]	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. doi: 10.11975/j.issn.1002-6819.2015.15.021 Xie B N, Qin Z F, Wang Y, et al. Monitoring vegetation phenology and their response to climate change on Chinese Loess Plateau based on remote sensing[J]. Transactions of the Chinese Society of Agricultural Engineering, 2015, 31(15): 153-160. doi: 10.11975/j.issn.1002-6819.2015.15.021
[18]	王涛.中国沙漠化研究的进展[J].中国沙漠, 1999, 19(4):299-311. doi: 10.3321/j.issn:1000-694X.1999.04.001 Wang T. Advances in desertification research in China[J]. Journal of Desert Research, 1999, 19 (4): 299-311. doi: 10.3321/j.issn:1000-694X.1999.04.001
[19]	北京大学地理系.毛乌素沙区自然条件及其改良利用[M].北京:科学出版社, 1983. Department of Geography, Peking University. Mu Us sandy natural conditions and its improved utilization[M]. Beijing: Science Press, 1983.
[20]	侯学会, 牛铮, 高帅, 等.基于SPOT-VGTNDVI时间序列的农牧交错带植被物候监测[J].农业工程学报, 2013, 29(1):142-150. http://www.cnki.com.cn/Article/CJFDTotal-NYGU201301021.htm Hou X H, Niu Z, Gao S, et al. Monitoring vegetation phenology in farming-pastoral zone using SPOT-VGT NDVI data[J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(1): 142-150. http://www.cnki.com.cn/Article/CJFDTotal-NYGU201301021.htm
[21]	马勇刚, 张弛, 塔西甫拉提·特依拜.中亚及中国新疆干旱区植被物候时空变化[J].气候变化研究进展, 2014, 10(2):95-102. doi: 10.3969/j.issn.1673-1719.2014.02.003 Ma Y G, Zhang C, Tassilati·Teyibai. Spatial and temporal variation of vegetation phenology in arid zones in Xinjiang, central Asia and China[J]. Climate Change Research, 2014, 10(2): 95-102. doi: 10.3969/j.issn.1673-1719.2014.02.003
[22]	王静璞, 刘连友, 贾凯, 等.毛乌素沙地植被物候时空变化特征及其影响因素[J].中国沙漠, 2015, 35(3):624-631. http://d.old.wanfangdata.com.cn/Periodical/zgsm201503014 Wang J P, Liu L Y, Jia K, et al. Spatiotemporal variation of vegetation phenology and its affecting factors in the Mu Us Sandy Land[J]. Journal of Desert Research, 2015, 35(3):624-631. http://d.old.wanfangdata.com.cn/Periodical/zgsm201503014
[23]	王涛.中国北方沙漠与沙漠化图集[M].北京:科学出版社, 2014. Wang T. Atlas of desertification and desertification in northern China[M]. Beijing: Science Press, 2014.
[24]	Pedelty J, Devadiga S, Masuoka E, et al. Generating a long-term land data record from the AVHRR and MODIS instruments[C]//Geoscience and Remote Sensing Symposium, 2007. IEEE International. Barcelona: IEEE, 2008: 1021-1025.
[25]	Holben B N. Characteristics of maximum-value composite images from temporal AVHRR data[J]. International Journal of Remote Sensing, 1986, 7(11):1417-1434. doi: 10.1080/01431168608948945
[26]	Jakubauskas M E. Harmonic analysis of time-series AVHRR NDVI data[J]. Photogrammetric Engineering and Remote Sensing, 2001, 67(4):461-470. http://cn.bing.com/academic/profile?id=cc5ccd585c177db84a28fbcf2d7a3be1&encoded=0&v=paper_preview&mkt=zh-cn
[27]	Sha Z Y, Zhong J L, Bai Y F, et al. Spatio-temporal patterns of satellite-derived grassland vegetation phenology from 1998 to 2012 in Inner Mongolia, China[J]. Journal of Arid Land, 2016, 8(3):462-477. doi: 10.1007/s40333-016-0121-9
[28]	安佑志.基于遥感的中国北部植被NDVI和物候变化研究[D].上海: 华东师范大学, 2014. An Y Z. Remote sensing based NDVI and phenological changes in northern China[D]. Shanghai: East China Normal University, 2014.
[29]	韦振锋, 任志远, 张翀, 等. 1999—2010年陕甘宁黄土高原区气候对植被物候的影响[J].水土保持通报, 2014, 34(5):232-236. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=stbctb201405045 Wei Z F, Ren Z Y, Zhang J, et al. Impact of climate on vegetation phenology in the Loess Plateau region of Shaanxi, Gansu, and Ningxia in 1999-2010[J]. Bulletin of Soil and Water Conservation, 2014, 34(5):232-236. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=stbctb201405045
[30]	Ma T, Zhou C H. Climate-associated changes in spring plant phenology in China[J]. International Journal of Biometeorology, 2012, 56(2): 269-275. doi: 10.1007/s00484-011-0428-3
[31]	Wei H Y, Heilman P, Qi J G, et al. Assessing phenological change in China from 1982 to 2006 using AVHRR imagery[J]. Frontiers of Earth Science, 2012, 6(3): 227-236. doi: 10.1007/s11707-012-0321-3
[32]	Wang H, Liu D, Lin H, et al. NDVI and vegetation phenology dynamics under the influence of sunshine duration on the Tibetan Plateau[J]. International Journal of Climatology, 2015, 35(5):687-698. doi: 10.1002/joc.2015.35.issue-5
[33]	Zhang X, Friedl M A, Schaaf C B, et al. Monitoring vegetation phenology using MODIS[J]. Remote Sensing of Environment, 2003, 84(3):471-475. doi: 10.1016/S0034-4257(02)00135-9
[34]	Piao S L, Cui M, Chen A, et al. Altitude and temperature dependence of change in the spring vegetation green-up date from 1982 to 2006 in the Qinghai-Xizang Plateau[J]. Agricultural and Forest Meteorology, 2011, 151(12):1599-1608. doi: 10.1016/j.agrformet.2011.06.016
[35]	闫峰, 吴波.近40a毛乌素沙地荒漠化过程研究[J].干旱区地理, 2013, 36(6):987-996. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ghqdl201306003 Yan F, Wu B. Study on the desertification process in Mu Us Desert in recent 40 years[J]. Arid Land Geography, 2013, 36(6):987-996. http://www.wanfangdata.com.cn/details/detail.do?_type=perio&id=ghqdl201306003
[36]	Schwalm C R, Anderegg W R L, Michalak A M, et al. Global patterns of drought recovery[J]. Nature, 2015, 548:202-205. http://d.old.wanfangdata.com.cn/OAPaper/oai_pubmedcentral.nih.gov_3419014
[37]	谢宝妮.黄土高原近30年植被覆盖变化及其对气候变化的响应[D].杨凌: 西北农林科技大学, 2016. Xie B N. Changes of vegetation coverage and its response to climate change in the Loess Plateau in recent 30 years[D]. Yangling: Northwest A&F University, 2016.

[1]	Zhang Fengyuan, Su Yuanhang, Liu Binhui. Response characteristics of NDVI to asymmetric diurnal temperature increase and precipitation changes during the forest growing season in Northeast China[J]. Journal of Beijing Forestry University, 2023, 45(2): 34-48. DOI: 10.12171/j.1000-1522.20210396
[2]	Liu Xiaoshuang, Li Caiwen, Zhao Yibing. Rapid detection of object-level invaded forest map patch based on high spatial resolution time series image[J]. Journal of Beijing Forestry University, 2022, 44(11): 60-69. DOI: 10.12171/j.1000-1522.20210261
[3]	Yang Can, Wei Tianxing, Li Yiran, Zheng Liang, Chen Yuxuan. Spatiotemporal variations of NDVI before and after implementation of Grain for Green Project in wind-water erosion crisscross region of the Loess Plateau[J]. Journal of Beijing Forestry University, 2021, 43(6): 83-91. DOI: 10.12171/j.1000-1522.20210128
[4]	Jia Jingwei, Niu Jianzhi, Lin Xingna, Zhu Zhijun, Wu Shanshan. Temporal and spatial variations of NDVI and its driving factors in the Yanghe Watershed of northern China[J]. Journal of Beijing Forestry University, 2019, 41(2): 106-115. DOI: 10.13332/j.1000-1522.20180046
[5]	Liu Zhengcai, Qu Yaoyao. Vegetation change and its response to climate change based on SPOT-VGT in Hunan Province of southern China[J]. Journal of Beijing Forestry University, 2019, 41(2): 80-87. DOI: 10.13332/j.1000-1522.20180278
[6]	Zhang Xu, Song Wenqi, Zhao Huiying, Zhu Liangjun, Wang Xiaochun. Variation of July NDVI recorded by tree-ring index of Pinus koraiensis and Abies nephrolepis forests in the southern Xiaoxing'an Mountains of northeastern China[J]. Journal of Beijing Forestry University, 2018, 40(12): 9-17. DOI: 10.13332/j.1000-1522.20180295
[7]	Zhu Yakun, Qin Shugao, Zhang Yuqing, Zhang Jutao, Shao Yanying, Gao Yan. Vegetation phenology dynamic and its responses to meteorological factor changes in the Mu Us Desert of northern China[J]. Journal of Beijing Forestry University, 2018, 40(9): 98-106. DOI: 10.13332/j.1000-1522.20180020
[8]	Zhang Cai, Zha Tianshan, Jia Xin, Liu Peng, Li Cheng. Dynamics and simulation of leaf area index for Artemisia ordosica community in the Mu Us Desert of northwestern China[J]. Journal of Beijing Forestry University, 2018, 40(3): 75-83. DOI: 10.13332/j.1000-1522.20170298
[9]	WANG Ge, HAN Lin, ZHANG Yu, . Temporal variation and spatial distribution of NDVI in northeastern China.[J]. Journal of Beijing Forestry University, 2012, 34(6): 86-91.
[10]	SONG Fu-qiang, KANG Mu-yi, YANG Peng, CHEN Ya-ru, LIU Yang, XING Kai-xiong.. Comparison and validation of GIMMS, SPOT-VGT and MODIS global NDVI products in the Loess Plateau of northern Shaanxi Province, northwestern China[J]. Journal of Beijing Forestry University, 2010, 32(4): 72-80.

Cited By

Cited by

Periodical cited type(5)

1.	胡慧玲，高凡，唐小雨，摆丽萍，肖宇峰，张富森. 北疆地区季节性积雪物理特性分析. 陕西水利. 2020(01): 1-3+6 .
2.	郭建平. 植物对降水截留的研究进展. 应用气象学报. 2020(06): 641-652 .
3.	唐小雨，高凡，闫正龙，彭亮. 有无遮蔽条件下季节性积雪分层物理特性对比分析. 灌溉排水学报. 2019(11): 74-84 .
4.	林尤伟，蔡体久，段亮亮. 大兴安岭北部兴安落叶松林雪水文特征. 北京林业大学学报. 2018(06): 72-80 . 本站查看
5.	孙弘哲，马大龙，臧淑英，吴祥文. 大兴安岭多年冻土区不同林型土壤微生物群落特征. 冰川冻土. 2018(05): 1028-1036 .

Other cited types(11)

Get Citation

PDF

XML

Article views (3222) PDF downloads (93) Cited by(16)

Turn off MathJax

Article Contents

Abstract

References

Vegetation phenology dynamic and its responses to meteorological factor changes in the Mu Us Desert of northern China