地理科学进展 ›› 2019, Vol. 38 ›› Issue (11): 1783-1792.doi: 10.18306/dlkxjz.2019.11.013
收稿日期:
2019-01-07
修回日期:
2019-04-25
出版日期:
2019-11-28
发布日期:
2019-11-28
通讯作者:
占车生
作者简介:
刘梁美子(1995— ),女,湖北黄冈人,硕士生,主要研究水文与水资源学。E-mail:liuliangmeizi17@mails.ucas.ac.cn
基金资助:
LIU Liangmeizi1,2, ZHAN Chesheng1,*(), HU Shi1, ZHANG Qi1,2
Received:
2019-01-07
Revised:
2019-04-25
Online:
2019-11-28
Published:
2019-11-28
Contact:
ZHAN Chesheng
Supported by:
摘要:
喀斯特山区是中国典型的生态脆弱区,区内的植被极易发生退化,且退化后难以恢复。论文采用逐步多元回归、相关性分析和残差分析等方法,探讨了黔桂喀斯特山区气候变化特征及其NDVI变化的影响因素。结果表明:2002—2015年研究区气候变化呈现暖湿化趋势,但变化并不显著,年降水量和年均温变化分别介于-15.6~25.6 mm/a和-0.08~0.06 ℃/a之间,年均增速分别为7.9 mm/a和0.000 35 ℃/a。过去14 a内,气候变化是影响NDVI变化的关键因素(贡献率约95%),其中降水对植被NDVI的影响大于气温。残差分析表明,近14 a来黔桂喀斯特山区NDVI残差和NDVI残差趋势的均值分别为0.03和0.0007/a,说明人类活动的正效应呈上升趋势。城市化的进程使得大量耕地、林地被建设用地占用,在毕节、安顺、贵阳以及河池、柳州、百色一带,人类活动对植被NDVI变化呈较明显的负效应,但是在六盘水、黔西南自治州、遵义和来宾,由于一系列生态还林工程的实施,人类活动则表现为正向影响。
刘梁美子, 占车生, 胡实, 张琦. 黔桂喀斯特山区年NDVI变化的影响因素研究[J]. 地理科学进展, 2019, 38(11): 1783-1792.
LIU Liangmeizi, ZHAN Chesheng, HU Shi, ZHANG Qi. Impact factors of annual NDVI change in karst mountain areas of Guizhou and Guangxi Provinces[J]. PROGRESS IN GEOGRAPHY, 2019, 38(11): 1783-1792.
11 | 孙艳玲, 延晓冬, 谢德体 . 2007. 基于因子分析方法的中国植被NDVI与气候关系研究[J]. 山地学报, 25(1):54-63. |
Sun Y L, Yan X D, Xie D T . 2007. Study on the relationship between vegetation and climate in China using factor analysis. Journal of Mountain Science, 25(1):54-63. ] | |
12 |
谭剑波, 李爱农, 雷光斌 . 2016. 青藏高原东南缘气象要素Anusplin和Cokriging空间插值对比分析[J]. 高原气象, 35(4):875-886.
doi: 10.7522/j.issn.1000-0534.2015.00037 |
Tan J B, Li A N, Lei G B . 2016. Contrast on Anusplin and Cokriging meteorological spatial interpolation in southeastern margin of Qinghai-Xizang Plateau. Plateau Meteorology, 35(4):875-886. ]
doi: 10.7522/j.issn.1000-0534.2015.00037 |
|
13 |
童晓伟, 王克林, 岳跃民 , 等. 2014. 桂西北喀斯特区域植被变化趋势及其对气候和地形的响应[J]. 生态学报, 34(12):3425-3434.
doi: <a href='http://dx.doi.org/10.5846/stxb201310162503'>10.5846/stxb201310162503</a> |
Tong X W, Wang K L, Yue Y M , et al. 2014. Trends in vegetation and their responses to climate and topography in northwest Guangxi. Acta Ecologica Sinica, 34(12):3425-3434. ]
doi: <a href='http://dx.doi.org/10.5846/stxb201310162503'>10.5846/stxb201310162503</a> |
|
14 | 王彦颖 . 2016. 中国东北植被时空动态变化及其对气候响应研究[D]. 长春: 东北师范大学. |
Wang Y Y . 2016. Study on temporal and spatial dynamic change of vegetation and its response to climate in Northeast China. Changchun, China: Northeast Normal University. ] | |
15 | 杨雪梅, 杨太保, 刘海猛 , 等. 2016. 气候变暖背景下近30a北半球植被变化研究综述[J]. 干旱区研究, 33(2):379-391. |
Yang X M, Yang T B, Liu H M , et al. 2016. Vegetation variation in the North Hemisphere under climate warming in the last 30 years. Arid Zone Research, 33(2):379-391. ] | |
16 | 姚永慧 . 2005. 贵州喀斯特景观格局研究[D]. 北京: 中国科学院研究生院. |
Yao Y H . 2005. Analysis of karst landscape pattern in Guizhou Province. Beijing, China: Graduate University of the Chinese Academy of Sciences. ] | |
17 | 于飞, 郑小波, 谷晓平 , 等. 2008. 复杂山地环境下气候要素空间插值精度比较研究[J]. 贵州气象, 32(3):3-6. |
Yu F, Zheng X B, Gu X P , et al. 2008. Comparative study on spatial interpolation of climate elements precision in complex mountainous environment. Journal of Guizhou Meteorology, 32(3):3-6. ] | |
18 |
张雪梅, 王克林, 岳跃民 , 等. 2017. 生态工程背景下西南喀斯特植被变化主导因素及其空间非平稳性[J]. 生态学报, 37(12):4008-4018.
doi: 10.5846/stxb201611192354 |
Zhang X M, Wang K L, Yue Y M , et al. 2017. Factors impacting on vegetation dynamics and spatial non-stationary relationships in karst regions of Southwest China. Acta Ecologica Sinica, 37(12):4008-4018. ]
doi: 10.5846/stxb201611192354 |
|
19 |
Archer E R M . 2004. Beyond the "climate versus grazing" impasse: Using remote sensing to investigate the effects of grazing system choice on vegetation cover in the eastern Karoo[J]. Journal of Arid Environments, 57:381-408.
doi: 10.1016/S0140-1963(03)00107-1 |
20 |
Evans J, Geerken R . 2004. Discrimination between climate and human induced dryland degradation[J]. Journal of Arid Environments, 57(4):535-554.
doi: 10.1016/S0140-1963(03)00121-6 |
21 |
Herrmann S M, Anyamba A, Tucker C J . 2017. Recent trends in vegetation dynamics in the African Sahel and their relationship to climate[J]. Global Environmental Change, 15(4):394-404.
doi: 10.1016/j.gloenvcha.2005.08.004 |
22 |
Hou W J, Gao J B, Wu S H , et al. 2015. Interannual variations in growing-season NDVI and its correlation with climate variables in the southwestern karst region of China[J]. Remote Sensing, 7(9):11105-11124.
doi: 10.3390/rs70911105 |
23 | Hutchinson M F, Xu T B . 2013. Anusplin version 4.4 user guide [M/OL]. 2013- 08- 23[2018-11-13]. . |
24 |
Ichii K, Kawabata A, Yamaguchi Y . 2002. Global correlation analysis for NDVI and climatic variables and NDVI trends: 1982-1990[J]. International Journal of Remote Sensing, 23(18):3873-3878.
doi: 10.1080/01431160110119416 |
25 | IPCC. 2013. Climate change 2013: The physical science basis, contribution of working group I to the fifth assessment report of the intergovernmental panel on climate change [M]. Cambridge, United Kingdom and New York, USA: Cambridge University Press. |
26 |
Liu R, Xiao L L, Liu Z , et al. 2018. Quantifying the relative impacts of climate and human activities on vegetation changes at the regional scale[J]. Ecological Indicators, 93:91-99.
doi: 10.1016/j.ecolind.2018.04.047 |
27 |
Liu Y X, Wang Y L, Du Y Y , et al. 2016. The application of polynomial analyses to detect global vegetation dynamics during 1982-2012[J]. International Journal of Remote Sensing, 37(7):1568-1584.
doi: 10.1080/01431161.2016.1142688 |
28 | Philippon N, Mougin E, Jarlan L , et al. 2005. Analysis of the linkages between rainfall and land surface conditions in the West African monsoon through CMAP, ERS-WSC, and NOAA-AVHRR data[J]. Journal of Geophysical Research Atmospheres, 110(D24):1064-1067. |
29 |
Tian Y C, Bai X Y, Wang S J , et al. 2017. Spatial-temporal changes of vegetation cover in Guizhou Province, Southern China[J]. Chinese Geographical Science, 27(1):25-38.
doi: 10.1007/s11769-017-0844-3 |
30 |
Tong X W, Wang K L, Yue Y M , et al. 2017. Quantifying the effectiveness of ecological restoration projects on long-term vegetation dynamics in the karst regions of Southwest China[J]. International Journal of Applied Earth Observation and Geoinformation, 54:105-113.
doi: 10.1016/j.jag.2016.09.013 |
31 |
Wang J, Wang K L, Zhang M Y , et al. 2015. Impacts of climate change and human activities on vegetation cover in hilly Southern China[J]. Ecological Engineering, 81:451-461.
doi: 10.1016/j.ecoleng.2015.04.022 |
32 |
Yin G, Hu Z Y, Chen X , et al. 2016. Vegetation dynamics and its response to climate change in Central Asia[J]. Journal of Arid Land, 8(3):375-388.
doi: 10.1007/s40333-016-0043-6 |
33 |
Zhang Y, Zhang C B, Wang Z Q , et al. 2016. Vegetation dynamics and its driving forces from climate change and human activities in the Three-River Source region, China from 1982 to 2012[J]. Science of the Total Environment, 563- 564:210-220.
doi: 10.1016/j.scitotenv.2016.03.223 pmid: 27135584 |
1 |
杜加强, 贾尔恒·阿哈提, 赵晨曦 , 等. 2016. 三江源区近30年植被生长动态变化特征分析[J]. 草业学报, 25(1):1-12.
doi: 10.11686/cyxb2015111 |
Du J Q, Ahati J, Zhao C X , et al. 2016. Analysis of vegetation dynamics using GIMMS NDVI3g in the Three-Rivers Headwater region from 1982 to 2012. Acta Prataculturae Sinica, 25(1):1-12. ]
doi: 10.11686/cyxb2015111 |
|
2 | 郭敏杰 . 2014. 基于NDVI的黄土高原地区植被覆盖度对气候变化响应及定量分析[D]. 北京: 中国科学院大学. |
Guo M J . 2014. Responses of vegetation coverage to climate change on the Loess Plateau based on AVHRR/NDVI and its quantitative analysis. Beijing, China: University of Chinese Academy of Sciences. ] | |
3 | 侯美亭, 赵海燕, 王筝 , 等. 2013. 基于卫星遥感的植被NDVI对气候变化响应的研究进展[J]. 气候与环境研究, 18(3):353-364. |
Hou M T, Zhao H Y, Wang Z , et al. 2013. Vegetation responses to climate change by using the satellite-derived normalized difference vegetation index: A review. Climatic and Environmental Research, 18(3):353-364. ] | |
4 | 李昊, 蔡运龙, 陈睿山 , 等. 2011. 基于植被遥感的西南喀斯特退耕还林工程效果评价: 以贵州省毕节地区为例[J]. 生态学报, 31(12):3255-3264. |
Li H, Cai Y L, Chen R S , et al. 2011. Effect assessment of the Project of Grain for Green in the karst region in Southwestern China: A case study of Bijie prefecture. Acta Ecologica Sinica, 31(12):3255-3264. ] | |
5 | 李辉霞, 刘国华, 傅伯杰 . 2011. 基于NDVI 的三江源地区植被生长对气候变化和人类活动的响应研究[J]. 生态学报, 31(19):5495-5504. |
Li H X, Liu G H, Fu B J . 2011. Response of vegetation to climate change and human activity based on NDVI in the Three-River Headwaters region. Acta Ecologica Sinica, 31(19):5495-5504. ] | |
6 | 刘梁美子, 占车生, 胡实 , 等. 2018. 黔桂喀斯特山区植被变化及其地形效应分析[J]. 地理研究, 37(12):2433-2446. |
Liu L M Z, Zhan C S, Hu S , et al. 2018. Analysis of the vegetation changes and its topographic effects in the karst mountainous area of Guizhou and Guangxi. Geographical Research, 37(12):2433-2446. ] | |
7 | 刘志红 , Li Lingtao, McVicar R, 等. 2008. 专用气候数据空间插值软件ANUSPLIN及其应用[J]. 气象, 34(2):92-100. |
Liu Z H, Li L T, McVicar R , et al. 2008. Introduction of the professional interpolation software for meteorology data: ANUSPLINN. Meteorological Monthly, 34(2):92-100. ] | |
8 | 蒙吉军, 王钧 . 2007. 20世纪80年代以来西南喀斯特地区植被变化对气候变化的响应[J]. 地理研究, 26(5):857-865. |
Meng J J, Wang J . 2007. The response of vegetation dynamics to climate change in the southwestern karst region of China since the early 1980s. Geographical Research, 26(5):857-865. ] | |
9 |
马明国, 王建, 王雪梅 . 2006. 基于遥感的植被年际变化及其与气候关系研究进展[J]. 遥感学报, 10(3):421-431.
doi: 10.11834/jrs.20060363 |
Ma M G, Wang J, Wang X M . 2006. Advance in the inter-annual variability of vegetation and its relation to climate based on remote sensing. Journal of Remote Sensing, 10(3):421-431. ]
doi: 10.11834/jrs.20060363 |
|
10 | 孙建国, 王涛, 颜长珍 . 2012. 气候变化和人类活动在榆林市荒漠化过程中的相对作用[J]. 中国沙漠, 32(3):625-630. |
Sun J G, Wang T, Yan C Z . 2012. The relative roles of climate change and human activities in desertification process: A case study in Yulin, Shaanxi Province, China. Journal of Desert Research, 32(3):625-630. ] |
[1] | 刘采, 张海燕, 李迁. 1980—2018年海南岛人类活动强度时空变化特征及其驱动机制[J]. 地理科学进展, 2020, 39(4): 567-576. |
[2] | 孙锐,陈少辉,苏红波. 2000—2016年黄土高原不同土地覆盖类型植被NDVI时空变化[J]. 地理科学进展, 2019, 38(8): 1248-1258. |
[3] | 王辉, 宋长春. 三江平原湿地区域生态风险评价研究[J]. 地理科学进展, 2019, 38(6): 872-882. |
[4] | 杨大文, 徐宗学, 李哲, 袁星, 王磊, 缪驰远, 田富强, 田立德, 龙笛, 汤秋鸿, 刘星才, 张学君. 水文学研究进展与展望[J]. 地理科学进展, 2018, 37(1): 36-45. |
[5] | 王子玉, 许端阳, 杨华, 丁雪, 李达净. 1981-2010年气候变化和人类活动对内蒙古地区植被动态影响的定量研究[J]. 地理科学进展, 2017, 36(8): 1025-1032. |
[6] | 张军以, 王腊春, 苏维词, 曾春芬. 岩溶地区人类活动的水文效应研究现状及展望[J]. 地理科学进展, 2014, 33(8): 1125-1135. |
[7] | 王彦君, 王随继, 苏腾. 1955-2010年松花江流域不同区段径流量变化影响因素定量评估[J]. 地理科学进展, 2014, 33(1): 65-75. |
[8] | 王鹤饶, 郑新奇, 袁涛. DMSP/OLS数据应用研究综述[J]. 地理科学进展, 2012, (1): 11-18. |
[9] | 薛丽芳, 谭海樵. 沂河流域水文特征变化及其驱动因素[J]. 地理科学进展, 2011, 30(11): 1354-1360. |
[10] | 李新艳1,2|王芳1|杨丽标1|晏维金1. 河流输送泥沙和颗粒态生源要素通量研究进展[J]. 地理科学进展, 2009, 28(4): 558-566. |
[11] | 于伯华1|吕昌河1|吕婷婷2,3|杨阿强1,4|刘闯1. 青藏高原植被覆盖变化的地域分异特征[J]. 地理科学进展, 2009, 28(3): 391-397. |
[12] | 原志华, 延军平, 刘宇峰. 1950 年以来汾河水沙演变规律及影响因素分析[J]. 地理科学进展, 2008, 27(5): 57-63. |
[13] | 鲍超,方创琳. 干旱区水资源开发利用对生态环境影响的 研究进展与展望[J]. 地理科学进展, 2008, 27(3): 38-46. |
[14] | 孙宁,李秀彬,冉圣洪,李子君. 潮河上游降水- 径流关系演变及 人类活动的影响分析[J]. 地理科学进展, 2007, 26(5): 41-47. |
[15] | 魏建兵,肖笃宁,解伏菊,. 人类活动对生态环境的影响评价与调控原则[J]. 地理科学进展, 2006, 25(2): 36-45. |
|