2000~2014年黑龙江流域（中国）植被覆盖时空变化及其对气候变化的响应

doi:10.13249/j.cnki.sgs.2017.11.017

地理科学 ›› 2017, Vol. 37 ›› Issue (11): 1745-1754.doi: 10.13249/j.cnki.sgs.2017.11.017

2000~2014年黑龙江流域（中国）植被覆盖时空变化及其对气候变化的响应

方利¹(), 王文杰¹, 蒋卫国², 陈民¹, 王永¹, 贾凯², 李延森¹

1. 中国环境科学研究院, 北京 100012
2. 北京师范大学资源学院, 北京 100875

收稿日期:2017-03-29 修回日期:2017-06-06 出版日期:2017-11-20 发布日期:2017-11-20
作者简介:
作者简介：方利（1979-）,女,湖北武汉人,副研究员,博士,主要从事环境信息挖掘、集成技术研究。E-mail:fangdanli@163.com
基金资助:
水体污染控制与治理科技重大专项（2014ZX07503-004,2014ZX07510-005,2014ZX07504-003）、中国工程科技知识中心建设项目（CKCEST-2016-2-6）资助

Spatio-temporal Variations of Vegetation Cover and Its Responses to Climate Change in the Heilongjiang Basin of China from 2000 to 2014

Li Fang¹(), Wenjie Wang¹, Weiguo Jiang², Min Chen¹, Yong Wang¹, Kai Jia², Yansen Li¹

1. Chinese Research Academy of Environmental Sciences, Beijing 100012, China
2. College of Resources Science and Technology, Beijing Normal University, Beijing 100875, China

Received:2017-03-29 Revised:2017-06-06 Online:2017-11-20 Published:2017-11-20
Supported by:
Major Science and Technology Program for Water Pollution Control and Treatment (2014ZX07503-004,2014ZX07510-005,2014ZX07504-003), China Knowledge Centre for Engineering Sciences and Technology (CKCEST-2016-2-6)

摘要/Abstract

摘要：

采用MODIS/NDVI数据,利用Theil-Sen Median 趋势分析、Mann-Kendall 以及Hurst指数方法分析2000~2014年黑龙江流域（中国）植被的时空变化特征、植被变化发展趋势及可持续性特征;应用相关分析法研究了气候变化对植被生长的影响。结果表明,2000~2014年黑龙江流域（中国）植被NDVI指数呈缓慢增加趋势,山区植被覆盖增加显著,东北部平原区植被覆盖持续退化,总体上植被覆盖持续改善能力较弱。植被NDVI对气候响应的季节差异显著,且不同类型植被对气候因子的响应不一致：春季植被NDVI主要受温度影响,夏季植被NDVI主要受降水量影响,秋季林地NDVI与温度正相关、草地NDVI与降雨量正相关。

关键词: 黑龙江流域（中国）, 植被覆盖变化, NDVI, 气象因子, 气候变化, 时空变化, 趋势分析, 相关性分析, Hurst指数

Abstract:

Vegetation plays a critical role in global carbon, water and energy fluxes and the earth’s climate. Satellite remote sensing is the only practical approach to obtain observational evidence of trends and changes across large regions of vegetation cover. The Heilongjiang Basin within China is a critical hotspot for bio-diversity. In this paper, the spatial distribution and temporal variations of vegetation covered area in the Heilongjiang Basin within China was analyzed based on MODIS NDVI datasets with a spatial resolution of 250 m×250 m from 2000 to 2014. NDVI was used as a proxy for vegetation cover and the Theil-sen Median trend analysis with the Mann-Kendall test were both used to analyze NDVI trends. The combination of the result of Theil-Sen Median trend analysis and Mann-Kendall test,as well as the result of Hurst index were conducted to analyze the sustainability in NDVI trend．Patterns of change in NDVI and their linkage with climate change were also analyzed. The results indicate that: 1) The values of annual NDVI in the vegetation covered area fluctuated between 0.41and 0.46 in the Heilongjiang Basin within China from 2000 to 2014. The NDVI values had increased 0.06% annually over this fifteen-year period. 2) As to the spatial distribution of NDVI, high values of NDVI were located in Da Hinggan, Xiao Hinggan and the Changbai Mountains. Median values of NDVI were located in the northern Songnen Plain, the Sanjiang Plain and the north-central Hulun Buir Grassland. And low values of NDVI were in the western Hulun Buir. 3) From the spatial trends of NDVI, the ratio of increased NDVI values occupied 48.51% of the vegetation covered area, while decreased NDVI values occupied 37.15% and 14.39% remained unchanged. 4) Analysis of sustainability of NDVI trend indicated that 27.17% of the vegetation-covered area presented a sustainable-increased state, 26.62% of the vegetation-covered area presented a sustainable-decreased state, 7.2% of the vegetation-covered area showed a sustainable-unchanged state, and 39.01% of vegetation-covered area could not be identified in the future．5) The vegetation growth in the study area was regulated by climate change. Temperature was the most important driving factor in spring and autumn, whereas precipitation in summer. 6) Also human activity played dual influence on vegetation cover change. Farmland and grassland turned into forestry which led to vegetation cover growth somewhere, and forestry and grassland turned into farmland led to vegetation cover decreased elsewhere. This research is useful for identifying the driving forces behind vegetation cover changes and to support environmental policy development in the Heilongjiang Basin within China.

Key words: the Heilongjiang Basin within China, vegetation cover change, NDVI, meteorological factors, climate change, spatio-temporal variation, trend analysis, correlation analysis, Hurst index

中图分类号:

TP79

方利, 王文杰, 蒋卫国, 陈民, 王永, 贾凯, 李延森. 2000~2014年黑龙江流域（中国）植被覆盖时空变化及其对气候变化的响应[J]. 地理科学, 2017, 37(11): 1745-1754.

Li Fang, Wenjie Wang, Weiguo Jiang, Min Chen, Yong Wang, Kai Jia, Yansen Li. Spatio-temporal Variations of Vegetation Cover and Its Responses to Climate Change in the Heilongjiang Basin of China from 2000 to 2014[J]. SCIENTIA GEOGRAPHICA SINICA, 2017, 37(11): 1745-1754.

图/表 8

图1

图2

图3

表1

图4

Fig.5

图6

图7

参考文献 30

[1]	孙红雨, 王长耀, 牛铮,等. 中国地表植被覆盖变化及其与气候因子关系——基于NOAA时间序列数据分析[J]. 遥感学报, 1998,2(3):204-210. doi: 10.1088/0256-307X/15/12/025
	[Sun Hongyu, Wang Changyao, Niu Zheng et al. Analysis of the vegetation cover change and the relationship between NDVI and environmental factors by using NOAA time series data. Journal of Remote Sensing, 1998,2(3): 204-210.] doi: 10.1088/0256-307X/15/12/025
[2]	Jia Kun, Liang Shunlin, Zhang Lei et al. Forest cover classification using Landsat ETM+ data and time series MODIS NDVI data[J]. International Journal of Applied Earth Observation and Geoinformation, 2014,(33): 32-38. doi: 10.1016/j.jag.2014.04.015
[3]	Goetz S J,Bunn A G,Fiske G J et al. Satellite-observed photosynthetic trends across boreal North America associated with climate and fire disturbance[J].Proceedings of the National Academy of Sciences of the United States of America, 2005, 102: 13521-1352. doi: 10.1073/pnas.0506179102
[4]	武正丽, 贾文雄, 赵珍,等. 2000~2012 年祁连山植被覆盖变化及其与气候因子的相关性[J]. 干旱区地理, 2015, 38(6): 1241-1252.
	[Wu Zhengli, Jia Wenxiong, Zhao Zhen et al. Spatial-temporal variations of vegetation and its correlation with climatic factors in Qilian Mountains from 2000 to 2012. Arid land geography, 2015, 38(6): 1241-1252.]
[5]	Fu-Jiang Liu, Chengquan Huang, Yong Pang et al. Assessment of the three factors affecting Myanmar’s forest cover change using Landsat and MODIS vegetation continuous fields data. International Journal of Digital Earth, 2016, 9(6):562-585. doi: 10.1080/17538947.2015.1111451
[6]	Hall Forrest G,Sellers Piers J,Myneni Ranga et al. On the measurability of change in Amazon vegetation from MODIS[J]. Remote Sensing of Environment: An Interdisciplinary Journal, 2015,166: 233-242. doi: 10.1016/j.rse.2015.05.020
[7]	Anne Jacquin, David Sheeren, Jean-Paul Lacombe.Vegetation cover degradation assessment in Madagascar savanna based on trend analysis of MODIS NDVI time series[J]. International Journal of Applied Earth Observation and Geoinformation, 2010,12(1):3-10. doi: 10.1016/j.jag.2009.11.004
[8]	John A Gamon, K Fred Huemmrich, Robert S Stone et al. Spatial and temporal variation in primary productivity (NDVI) of coastal Alaskan tundra: Decreased vegetation growth following earlier snowmelt[J]. Remote Sensing of Environment, 2013,129(15):144-153. doi: 10.1016/j.rse.2012.10.030
[9]	Florian Detsch, Insa Otte, Tim Appelhans et al. Seasonal and long-term vegetation dynamics from 1-km GIMMS-based NDVI time series at Mt. Kilimanjaro, Tanzania[J]. Remote Sensing of Environment, 2016, 178(1):70-83. doi: 10.1016/j.rse.2016.03.007
[10]	白建军,白江涛,王磊. 2000~2010年陕北地区植被NDVI时空变化及其与区域气候的关系[J]. 地理科学, 2014, 34(7): 882-888. doi: 10.1039/c3mb70616h
	[Bai Jianjun, Bai Jiangtao, Wang Lei.Spatio-temporal change of vegetation NDVI and its relations with regional climate in Northern Shanxi province in 2000-2010. Scientia geographica sinica, 2014, 34(7): 882-888.] doi: 10.1039/c3mb70616h
[11]	袁丽华, 蒋卫国, 申文明,等. 2000~2010 年黄河流域植被覆盖的时空变化[J]. 生态学报, 2013, 33(24): 7798-7806. doi: 10.5846/stxb201305281212
	[Yuan Lihua, Jiang Weiguo, Shen Wenming et al. The spatio-temporal variations of vegetation cover in the Yellow River Basin from 2000 to 2010. Acta Ecologica Sinaca, 2013, 33(24): 7798-7806. ] doi: 10.5846/stxb201305281212
[12]	戴声佩, 张勃, 王海军,等. 中国西北地区植被覆盖变化驱动因子分析[J]. 干旱区地理, 2010, 33(4): 636-643.
	[Dai Shengpei, Zhang Bo, Wang Haijun et al. Vegetation cover change and its driving factors over northwest China. Arid Land Geography, 2010, 33(4): 636-643.]
[13]	Baihua Fu, Isabela Burgher.Riparian vegetation NDVI dynamics and its relationship with climate, surface water and groundwater[J]. Journal of Arid Environments, 2015,113:59-68. doi: 10.1016/j.jaridenv.2014.09.010
[14]	Amy N Birtwistle, Melinda Laituri, Brian Bledsoe et al. Using NDVI to measure precipitation in semi-arid landscapes[J]. Journal of Arid Environments, 2016,(131):15-24. doi: 10.1016/j.jaridenv.2016.04.004
[15]	神祥金, 周道玮, 李飞, 等. 中国草原区植被变化及其对气候变化的响应[J]. 地理科学, 2015, 35(5):622-629. doi: 10.11820/dlkxjz.2000.02.005
	[Shen Xiangjin, Zhou Daowei, Li Fei et al.Vegetation change and its response to climate change in Grassland region of China. Scientia Geographica Sinica, 2015, 35(5):622-629.] doi: 10.11820/dlkxjz.2000.02.005
[16]	杜加强, 贾尔恒·阿哈提, 赵晨曦, 等. 1982~2012年新疆植被NDVI的动态变化及其对气候变化和人类活动的响应[J]. 应用生态学报, 2015, 26(12): 3567-3578.
	[Du Jiaqiang, Jiaerheng Ahati, Zhao Chenxi et al. Dynamic changes in vegetation NDVI from 1982 to 2012 and its responses to climate change and human activities in Xinjiang, China. Chinese Journal of Applied Ecology, 2015, 26(12):3567-3578.]
[17]	Zhang Yili, Gao Jungang, Liu Linshan.NDVI-based vegetation changes and their responses to climate change from 1982 to 2011: A case study in the Koshi River Basin in the middle Himalayas[J]. Global and Planetary Change, 2013, 108:139-148. doi: 10.1016/j.gloplacha.2013.06.012
[18]	Tian Haijing, Cao Chunxiang, Chen Wei.Response of vegetation activity dynamic to climatic change and ecological restoration programs in Inner Mongolia from 2000 to 2012[J]. Ecological ngineering, 2015,(82): 276-289. doi: 10.1016/j.ecoleng.2015.04.098
[19]	Su Wei, Yu Deyong, Sun Zhongping.Vegetation changes in the agricultural-pastoral areas of northern China from 2001 to 2013[J]. Journal of Integrative Agriculture, 2016, 15(5):1145-1156. doi: 10.1016/S2095-3119(15)61159-5
[20]	周晓峰,王传宽. 黑龙江流域的生态脆弱性及林业对策[J]. 林业科学, 1997, 33(2): 97-106.
	[Zhou Xiaofeng, Wang Chuankuan.Ecological fragility of and forestry strategies for Heilongjiang basin. Scientia Silvae Sinicae, 1997, 33(2): 97-106.]
[21]	包刚, 包玉海, 覃志豪,等. 近10年蒙古高原植被覆盖变化及其对气候的季节响应[J]. 地理科学, 2013,33(5): 616-621.
	[Bao Gang, Bao Yuhai, Qin Zhihao et al. Vegetation cover changes in Mongolian plateau and its response to seasonal climate changes in recent 10 years. Scientia Geographica Sinica, 2013,33(5): 616-621.]
[22]	陈效逑, 王恒. 1982~2003年内蒙古植被带和植被覆盖度的时空变化[J]. 地理学报, 2009,64(1):84-94. doi: 10.3321/j.issn:0375-5444.2009.01.009
	[Chen Xiaoqiu, Wang Heng.Spatial and Temporal Variations of Vegetation Belts and Vegetation Cover Degrees in Inner Mongolia from 1982 to 2003. Acta Geographica Sinica, 2009,64(1):84-94.] doi: 10.3321/j.issn:0375-5444.2009.01.009
[23]	戚颖. 三江平原典型流域土地覆被变化对水资源的影响研究[D]. 哈尔滨:东北林业大学, 2015.
	[Qi Ying.Researches on the effects of land cover change of Typical basin in Sanjiang Plain on water resources. Harbin: Northeast Forestry University,2015.]
[24]	孙小龙, 刘朋涛, 李平. 近三十年来锡林郭勒草原植被NDVI指数动态分析[J]. 中国草地学报, 2014, 36(6): 22-28. doi: 10.3969/j.issn.1673-5021.2014.06.005
	[Sun Xiaolong, Liu Pengtao, Li Ping.The dynamic state of NDVI index in Xilingol grassland during 1981-2010. Chinese Journal of Grassland, 2014, 36(6): 22-28.] doi: 10.3969/j.issn.1673-5021.2014.06.005
[25]	于灵雪, 张树文, 贯丛,等. 黑龙江流域积雪覆盖时空变化遥感监测[J]. 应用生态学报, 2014, 25(9): 2521-2528.
	[Yu Lingxue, Zhang Shuwen, Guan Chong et al. Monitoring on spatial and temporal changes of snow cover in the Heilongjiang Basin based on remote sensing. Chinese Journal of Applied Ecology, 2014, 25(9) :2521-2528.]
[26]	田鹏, 田坤, 李靖,等. 黑龙江流域生态功能区划研究[J].西北林学院学报, 2007, 22(2): 189-193. doi: 10.3969/j.issn.1001-7461.2007.02.048
	[Tian Peng, Tian Kun, Li Jing et al. Studies on ecological functional districts along Aumer Basin. Journal of Northwest Forestry University, 2007, 22(2): 189-193. ] doi: 10.3969/j.issn.1001-7461.2007.02.048
[27]	朴世龙,方精云.最近18 年来中国植被覆盖的动态变化[J]. 第四纪研究,2001,21(4): 294-302. doi: 10.3321/j.issn:1001-7410.2001.04.002
	[Piao Shilong, Fang Jingyun.Dynamic vegetation cover change over the last 18 years in China. Quaternary Sciences, 2001, 21(4) : 294-302.] doi: 10.3321/j.issn:1001-7410.2001.04.002
[28]	刘宪锋,任志远, 林志辉,等. 2000~2011年三江源区植被覆盖时空变化特征[J].地理学报, 2013, 68(7): 897-908.
	[Liu Xianfeng, Ren Zhiyuan, Lin Zhihui et al. The spatial-temporal changes of vegetation coverage in the three-river headwater region in recent 12 years. Acta Geographica Sinica, 2013, 68(7): 897-908.]
[29]	国志兴,王宗明,宋开山,等.1982~2003年东北林区森林植被NDVI与水热条件的相关分析[J].生态学杂志, 2007, 26(12): 1930-1936.
	[Guo Zhixing, Wang Zongming, Song Kaishan et al. Correlations between forest vegetation NDVI and water/thermal condition in Northeast China forest regions in 1982-2003. Chinese Journal of Ecology, 2007, 26(12): 1930-1936.]
[30]	李朝洪, 王雪霞. 黑龙江省国有林区生态环境脆弱性的变化趋势[J]. 东北林业大学学报, 2016, 44(4): 93-97.
	[Li Chaohong, Wang Xuexia.Ecology Environment Vulnerability Change Trend of State-owned Forest Area in Heilongjiang Province. Journal of Northeast Forestry University, 2016, 44(4) : 93-97.]

S_NDVI	Z值	NDVI趋势	面积百分比（%）
≥0.0005	>1.96	明显改善	13.58
≥0.0005	-1.96~1.96	轻微改善	34.93
-0.0005~0.0005	-1.96~1.96	稳定不变	14.39
≤-0.0005	-1.96~1.96	轻微退化	29.23
≤-0.0005	<1.96	严重退化	7.87

2000~2014年黑龙江流域（中国）植被覆盖时空变化及其对气候变化的响应

Spatio-temporal Variations of Vegetation Cover and Its Responses to Climate Change in the Heilongjiang Basin of China from 2000 to 2014

RichHTML

PDF (PC)

赞

可视化

摘要/Abstract

引用本文

使用本文

图/表 8

参考文献 30

相关文章 15

Metrics

本文评价

推荐阅读 0

[1]	张华, 徐存刚, 王浩. 2001−2018年西北地区植被变化对气象干旱的响应[J]. 地理科学, 2020, 40(6): 1029-1038.
[2]	姬霖, 段克勤. 1960-2017年渭河流域极端气温变化及其对区域增暖的响应[J]. 地理科学, 2020, 40(3): 466-477.
[3]	李建国, 袁冯伟, 赵宴青, 刘丽丽. 中国东部沿海地区暴雨对植被活动的影响[J]. 地理科学, 2020, 40(2): 324-334.
[4]	齐庆华,蔡榕硕,郭海峡. 中国东部气温极端特性及其气候特征[J]. 地理科学, 2019, 39(8): 1340-1350.
[5]	董满宇, 李洁敏, 王磊鑫, 刘佩佩, 江源, 吴正方. 1960~2017年华北地区气候生长季变化特征及成因分析[J]. 地理科学, 2019, 39(12): 1990-2000.
[6]	狄乾斌, 於哲, 徐礼祥. 高质量增长背景下海洋经济发展的时空协调模式研究——基于环渤海地区地级市的实证[J]. 地理科学, 2019, 39(10): 1621-1630.
[7]	谭雪兰, 安悦, 苏洋, 周国华, 贺艳华. 长株潭地区农业功能的时空变化特征及发展策略研究[J]. 地理科学, 2018, 38(5): 708-716.
[8]	刘星才, 汤秋鸿, 尹圆圆, 徐新创. 气候变化下中国未来综合环境风险区划研究[J]. 地理科学, 2018, 38(4): 636-644.
[9]	高文兰, 李双双, 段克勤, 孔锋, 王娟. 基于均一化资料的西安极端气温变化特征研究[J]. 地理科学, 2018, 38(3): 464-473.
[10]	邓海军, 陈亚宁, 陈忠升. 增温增湿环境下天山山区降雪量变化[J]. 地理科学, 2018, 38(11): 1933-1942.
[11]	裴亮, 刘阳, 陈晨. 大凌河流域土地利用/覆被变化及其对气候变化的响应研究[J]. 地理科学, 2017, 37(9): 1403-1410.
[12]	金君良, 何健, 贺瑞敏, 刘翠善, 张建云, 王国庆, 鲍振鑫. 气候变化对淮河流域水资源及极端洪水事件的影响[J]. 地理科学, 2017, 37(8): 1226-1233.
[13]	高文华, 李开封, 崔豫. 1960~2014年河南极端气温事件时空演变分析[J]. 地理科学, 2017, 37(8): 1259-1269.
[14]	王成超, 杨玉盛, 庞雯, 洪静, 谢剑斌. 国内外农户对气候变化/变异感知与适应研究[J]. 地理科学, 2017, 37(6): 938-943.
[15]	王景才, 郭佳香, 徐蛟, 李帆. 近55年淮河上中游流域气候要素多时间尺度演变特征及关联性分析[J]. 地理科学, 2017, 37(4): 611-619.