CHEN Cheng,YANG Donghao,WANG Jianxiong,et al.Analysis on Dynamic Change Characteristics and Driving Forces of Vegetation Coverage in Southwestern Yunnan[J].Research of Soil and Water Conservation,2022,29(04):198-206.
滇西南植被覆盖度动态变化特征及其驱动力分析
- Title:
- Analysis on Dynamic Change Characteristics and Driving Forces of Vegetation Coverage in Southwestern Yunnan
- 文章编号:
- 1005-3409(2022)04-0198-09
- Keywords:
- southwestern Yunnan; vegetation coverage; trend analysis; correlation analysis; human activities; climate change
- 分类号:
- Q948.15
- 文献标志码:
- A
- 摘要:
- 为了探究滇西南植覆盖度动态变化及与气候因子的关系,以便于推动滇西南植被资源保护以及可持续发展。基于滇西南2000—2020年MODIS NDVI数据以及同期气象数据,运用像元二分法、转移矩阵、线性趋势分析、相关分析和残差分析等方法进行了分析。结果表明:(1)滇西南近21 a低植被覆盖度逐渐向高植被覆盖度转化,2000—2020年滇西南植被覆盖度整体呈现改善趋势。(2)滇西南近21 a年累计降水量以94.18 mm/10 a的趋势减少; 年均气温以0.78℃/10 a的趋势上升。(3)滇西南植被覆盖度主要与气温变化关系更密切,其中FVC与气温正、负相关面积占整个研究区比例分别为58.47%,41.53%; 与降水量正、负相关面积占整个研究区域比例分别为41.22%,58.78%。(4)气温驱动为滇西南植被覆盖度的主要驱动因素,占研究区域面积的2.94%; 降水量驱动区域所占1.76%; 受气温和降水量共同驱动区域所占2.66%。(5)近21 a滇西南残差值以0.021/10 a的速率波动上升。2000—2020年滇西南人类活动对植被的影响由负到正,其中2009年为由负到正的转折点。
- Abstract:
- In order to explore the dynamic change of vegetation coverage and its relationship with climate factors in southwest Yunnan, so as to promote the protection and sustainable development of vegetation resources in southwest Yunnan. Based on the MODIS NDVI data from 2000 to 2020 in southwest Yunnan and the meteorological data in the same period, the analysis was carried out by using the methods of pixel dichotomy, transfer matrix, linear trend analysis, correlation analysis and residual analysis. The results show that:(1)in recent 21 years, the low vegetation coverage gradually transformed to high vegetation coverage in southwest Yunnan, and the vegetation coverage in southwest Yunnan showed an overall improvement trend from 2000 to 2020;(2)the cumulative precipitation in southwest Yunnan in recent 21 years decreased by 94.18 mm/decade; the average annual temperature generally showed an upward trend of 0.78℃/decade;(3)the vegetation coverage in southwest Yunnan was mainly more closely related to the change of temperature; the areas where correlations between FVC and temperature were positive and negative accounted for 58.47% and 41.53% of the whole study area, respectively; The areas where correlations between FVC and precipitation were positive and negative accounted for 41.22% and 58.78% of the whole study area, respectively;(4)temperature driver was the main driving factor of vegetation coverage in southwest Yunnan, accounting for 2.94% of the study area; precipitation-driven area accounted for 1.76%; temperature and precipitation-driven area accounted for 2.66%;(5)in recent 21 years, the residual value of southwest Yunnan had fluctuated and increased at the growth rate of 0.021/decade. From 2000 to 2020, the impact of human activities on vegetation in southwest Yunnan changed from negative to positive effect, and 2009 was a turning point from negative to positive effect.
参考文献/References:
[1] 徐焕.黄土高原植被覆盖时空变化的遥感监测及其驱动力分析[D].北京; 中国科学院大学,2017.
[2] 李登科,王钊.退耕还林后陕西省植被覆盖度变化及其对气候的响应[J].生态学杂志,2020,39(1):1-10.
[3] 徐光来,杨先成,徐晓华,等.气候变暖背景下安徽省月NDVI动态变化研究[J].长江流域资源与环境,2021,30(2):397-406.
[4] Muminov M A, Nosirov M G, Rajabov T F, et al. Monitoring vegetation coverage and biomass using Landsat Thematic Mapper 5 images in a foothill Artemisia-ephemeral rangeland of Uzbekistan[J]. Open Journal of Ecology, 2016,6(12):736-752.
[5] 胡砚霞,黄进良,杜耘,等.2000—2015年丹江口库区植被覆盖时空变化趋势及其成因分析[J].长江流域资源与环境,2018,27(4):862-872.
[6] Zhang Y, Ye A. Spatial and temporal variations in vegetation coverage observed using AVHRR GIMMS and Terra MODIS data in the mainland of China[J]. International Journal of Remote Sensing, 2020,41(11):4238-4268.
[7] 周金霖,马明国,肖青,等.西南地区植被覆盖动态及其与气候因子的关系[J].遥感技术与应用,2017,32(5):966-972.
[8] 李彩霞,胡砚霞,邓帆,等.湖北省植被覆盖度时空变化特征与影响因素分析[J].长江流域资源与环境,2021,30(8):1829-1838.
[9] 赵维清,李经纬,褚琳,等.近10年湖北省植被指数时空变化特征及其驱动力[J].生态学报,2019,39(20):7722-7736.
[10] Tao G, Jia K, Wei X, et al. Improving the spatiotemporal fusion accuracy of fractional vegetation cover in agricultural regions by combining vegetation growth models[J]. International Journal of Applied Earth Observation and Geoinformation, 2021,101:102362.
[11] 杨杰,张莹莹,王建雄,等.利用NDVI与EVI再合成的植被指数算法[J].遥感信息,2020,35(5):127-133.
[12] 刀剑,郑宏刚,王建雄.基于NDVI的云南省临沧市植被覆盖分析[J].农业工程,2019,9(8):50-55.
[13] 李辉霞,刘国华,傅伯杰,等.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,2011,31(19):5495-5504.
[14] 穆少杰,李建龙,陈奕兆,等.2001—2010年内蒙古植被覆盖度时空变化特征[J].地理学报,2012,67(9):1255-1268.
[15] 甘春英,王兮之,李保生,等.连江流域近18年来植被覆盖度变化分析[J].地理科学,2011,31(8):1019-1024.
[16] North P R J. Estimation of fAPAR, LAI, and vegetation fractional cover from ATSR-2 imagery[J]. Remote Sensing of Environment,2002,80(1):114-121.
[17] Hansen M C, DeFries R S, Townshend J R G, et al. Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data[J]. Remote Sensing of Environment, 2002,83(1/2):303-319.
[18] Boyd D S, Foody G M, Ripple W J. Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing[J]. Applied Geography, 2002,22(4):375-392.
[19] 李苗苗,吴炳方,颜长珍,等.密云水库上游植被覆盖度的遥感估算[J].资源科学,2004,26(4):153-159.
[20] 马梓策,于红博,曹聪明,等.中国植被覆盖度时空特征及其影响因素分析[J].长江流域资源与环境,2020,29(6):1310-1321.
[21] 熊俊楠,彭超,程维明,等.基于MODIS-NDVI的云南省植被覆盖度变化分析[J].地球信息科学学报,2018,20(12):1830-1840.
[22] 何云玲,余岚,屈新星,等.云南喀斯特关键带植被时空变化特征及气候与人为影响因子解析[J].长江流域资源与环境,2021,30(2):439-447.
[23] 马海云,张林林,魏学琼,等.2000—2015年西南地区土地利用与植被覆盖的时空变化[J].应用生态学,2021,32(2):618-628.
[24] Pang G, Wang X, Yang M. Using the NDVI to identify variations in, and responses of, vegetation to climate change on the Tibetan Plateau from 1982 to 2012[J]. Quaternary International, 2017,444:87-96.
[25] 丁文荣.滇东南喀斯特地区植被覆盖变化及其影响因素[J].水土保持研究,2016,23(6):227-231.
[26] 康雄,曹俊涛,陈成,等.不同趋势法的宁夏长时序植被变化分析[J].测绘通报,2020(11):23-27.
[27] Jiang L, Bao A, Guo H, et al. Vegetation dynamics and responses to climate change and human activities in Central Asia[J]. Science of the Total Environment, 2017,599:967-980.
[28] 张翀,李强,李忠峰.三江源地区人类活动对植被覆盖的影响[J].中国人口·资源与环境,2014,24(5):139-144.
[29] 孙晓鹏,王天明,寇晓军,等.黄土高原泾河流域长时间序列的归一化植被指数动态变化及其驱动因素分析[J].植物生态学报,2012,36(6):511-521.
[30] 金凯.中国植被覆盖时空变化及其与气候和人类活动的关系[D].陕西杨凌:西北农林科技大学,2019.
[31] 何奕萱,易桂花,张廷斌,等.红河流域“通道-阻隔”作用下2000—2014年植被EVI变化趋势与驱动力[J].生态学报,2018,38(6):2056-2064.
[32] 郑勇.川西高原近20年植被覆盖遥感动态监测及驱动力分析[D].成都:成都理工大学,2020.
[33] 李同艳.西南地区植被覆盖度时空变化特征及其影响因素研究[D].昆明:云南大学,2019.
[34] 刘群,陈振华.1982—2015年云南省植被时空变化及其影响因子研究[J].昆明学院学报,2018,40(6):77-82.
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备注/Memo
收稿日期:2021-06-10 修回日期:2021-06-29
资助项目:国家自然科学基金(41867040); 云南省自然科学基金(2020Y0177,2020Y186)
第一作者:陈成(1996—),男,云南昆明人,硕士研究生,研究方向为资源与环境遥感。E-mail:443878340@qq.com
通信作者:王建雄(1975—),男,云南玉溪人,博士,教授,主要从事地理信息和遥感信息研究。E-mail:jianxiongw@126.com