Temporal and spatial evolution of vegetation cover in Chengde based ontime series NDVI data
-
摘要: 承德是京津冀地区重要的水源涵养区和防风固沙区，是京津冀生态环境支撑区的重要组成部分，其植被状况将直接影响着区域生态环境质量的改善。基于MOD13Q1时间序列NDVI资料，利用线性回归分析法、像元二分法、稳定性分析法等测度承德市全域2000—2018年植被覆盖时空演变特征，并分析气候、地形等因素对植被覆盖的影响。结果表明：（1）承德市全域植被状况年际变化总体发生了改善，植被生长季夏季的NDVI值最高，月度变化中7月份NDVI值最大，多年均值达到0.775 2。（2）植被年际变化趋势显著性存在空间差异，植被指数极显著增加区域面积最大，占比59.08%，而极显著减少和显著减少的区域面积较小，分别占全域的0.76%和0.58%，主要分布在承德市中部、南部等地区。（3）承德市各区县植被覆盖状况均以较高覆盖度为主，面积达到45 585.69 km2。在多年植被覆盖度稳定性格局中，西北部波动较大，其余大部分地区稳定性好，波动较低。（4）承德市NDVI受5—7月份降水量和月均温的影响较大，植被的长势可能受到了前期气象条件的滞后效应影响。地形特征对承德全域植被覆盖状况也有一定的影响，总体来看承德市地势低平地区的NDVI值相对较低。研究结果可为承德市加强重要区域生态保护、优化国土空间开发格局和科学制定生态修复措施提供参考。Abstract: Chengde is a very important water conservation area and sand prevention area in Beijing-Tianjin-Hebei region. It is also an important part of the ecological environment support area. Its vegetation status will directly affect the improvement of regional ecological environment quality. Based on the NDVI data of MOD13Q1, linear regression analysis, pixel dichotomy and stability analysis were used to measure the spatiotemporal evolution characteristics of vegetation cover in Chengde from 2000 to 2018, and analyzed the impact of climate, terrain and other factors on vegetation coverage. The results showed that:(1) the interannual change of vegetation in Chengde has been improved. The NDVI value in summer is the highest in vegetation growing season, and the NDVI value in July is the largest in monthly change, and the annual average value is 0.775 2. (2) The results showed that there were spatial differences in the annual variation trend of vegetation. The area with extremely significant increase in vegetation index was the largest, accounting for 59.08%, while the area with extremely significant decrease and significant decrease accounted for 0.76% and 0.58% of the whole area, respectively. They mainly distribute in the central and southern areas in Chengde. (3) The vegetation coverage of each district and county in Chengde is mainly high coverage, with an area of 45 585.69 km2. In the pattern of vegetation coverage stability, the northwest fluctuates greatly, and the rest areas have good stability and low fluctuation. (4) The NDVI of Chengde is greatly affected by the precipitation and monthly average temperature from May to July, and the growth of vegetation may be affected by the lag effect of the previous meteorological conditions. In general, the NDVI value of low-lying areas in Chengde is relatively low. The research results can provide reference for Chengde to strengthen the ecological protection of critical regions, optimize the spatial development pattern of land and scientifically formulate ecological restoration measures.
-
Key words:
- MOD13Q1 /
- Chengde /
- NDVI /
- vegetation cover /
- spatio-temporal evolution
-
-
[1] 于泉洲,梁春玲,刘煜杰,等.基于MODIS的山东省植被覆盖时空变化及其原因分析[J].生态环境学报, 2015,24(11):1799-1807.[YU Q Z, LIANG C L, LIU Y J, et al. Analysis of vegetation spatio-temporal variation and driving factors in Shandong Province based on MODIS[J]. Ecology and Environment Sciences,2015,24(11):1799-1807.(in Chinese)]
[2] 曹乐,聂振龙,刘敏,等.民勤绿洲天然植被生长与地下水埋深变化关系[J].水文地质工程地质,2020,47(3):25-33.[CAO L, NIE Z L, LIU M, et al. Changes in natural vegetation growth and groundwater depth and their relationship in the Minqin oasis in the Shiyang River Basin[J]. Hydrogeology & Engineering Geology, 2020,47(3):25-33.(in Chinese)]
[3] 李小亚,张勃,靳自宝.基于MODIS-NDVI的甘肃河东地区植被覆盖度动态监测[J].水土保持研究,2013,20(1):112-115.[LI X Y, ZHANG B, JIN Z B. Dynamic monitoring of vegetation coverage change in Hedong area of Gansu based on MODIS-NDVI[J]. Research of Soil and Water Conservation,2013,20(1):112-115.(in Chinese)]
[4] 宋敏敏,张青峰,吴发启,等.基于NDVI的延河流域时空演变分析[J].水土保持研究,2017,24(4):6-11.[SONG M M, ZHANG Q F, WU F Q, et al. Spatiotemporal variation of NDVI in Yanhe basin[J]. Research of Soil and Water Conservation,2017,24(4):6-11.(in Chinese)]
[5] 罗文玮,赖日文,陈思雨,等.基于NDVI的福建省植被变化特征分析[J].森林与环境学报,2016,36(2):141-147.[LUO W W, LAI R W, CHEN S Y, et al. Analysis of vegetation variation characteristics in Fujian based on NDVI[J]. Journal of Forest and Environment,2016,36(2):141-147.(in Chinese)]
[6] 成方妍,刘世梁,尹艺洁,等.基于MODIS NDVI的广西沿海植被动态及其主要其驱动因素[J].生态学报,2017,37(3):788-797.[CHENG F Y,LIU S L,YIN Y J, et al. The dynamics and main driving factors of coastal vegetation in Guangxi based on MODIS NDVI[J]. Acta Ecologica Sinica, 2017,37(3):788-797.(in Chinese)]
[7] 奚砚涛,徐勇,刘欣婷.2000-2013年江苏省不同植被类型NDVI时空变化特征[J].水土保持研究,2016,23(1):86-91.[XI Y T, XU Y, LIU X T. Spatiotemporal changes of different vegetation coverage in Jiangsu Province in the period from 2000 to 2013[J]. Research of Soil and Water Conservation,2016,23(1):86-91.(in Chinese)]
[8] 朱林富,谢世友,杨华,等.基于MODIS-EVI的2000~2015年重庆植被覆盖季节变化[J].长江流域资源与环境,2017,26(12):2146-2155.[ZHU L F, XIE S Y, YANG H, et al. Seasonal variation of vegetation coverage based on MODIS-EVI data in Chongqing during 2000-2015[J]. Resources and Environment in the Yangtze Basin,2017,26(12):2146-2155.(in Chinese)]
[9] 杨强,王婷婷,陈昊,等.基于MODIS EVI数据的锡林郭勒盟植被覆盖度变化特征[J].农业工程学报,2015,31(22):191-198.[YANG Q, WANG T T, CHEN H, et al. Characteristics of vegetation cover change in Xilin Gol League based on MODIS EVI data[J]. Transactions of the Chinese Society of Agricultural Engineering,2015,31(22):191-198.(in Chinese)]
[10] 赵安周,张安兵,赵延旭,等.基于MODIS NDVI数据的陕甘宁地区植被覆盖时空变化及其对极端气候的响应[J].水土保持研究,2018,25(3):224-231.[ZHAO A Z, ZHANG A B, ZHAO Y X, et al. Spatiotemporal changes of vegetation in the Shaanxi-Gansu-Ningxia region and response to climatic extremes based on MODIS NDVI data[J]. Research of Soil and Water Conservation,2018,25(3):224-231.(in Chinese)]
[11] 党学亚,卢娜,顾小凡,等.柴达木盆地生态植被的地下水阈值[J].水文地质工程地质,2019,46(3):1-8.[DANG X Y, LU N, GU X F, et al. Groundwater threshold of ecological vegetation in Qaidam Basin[J]. Hydrogeology & Engineering Geology, 2019,46(3):1-8.(in Chinese)]
[12] 王欣平,邵凤娈,毛志红,等.基于MODIS数据的济南市年最大植被覆盖度动态监测[J].地域研究与开发,2016,35(1):150-155.[WANG X P, SHAO F L, MAO Z H, et al. Dynamic monitoring of the annual maximum vegetation coverage in Jinan city based on MODIS data[J]. Areal Research and Development,2016,35(1):150-155.(in Chinese)]
[13] 李登科,范建忠,权文婷.陕西省植被退化及其驱动因素分析[J].生态学杂志,2015,34(10):2907-2913.[LI D K, FAN J Z, QUAN W T. Analysis of vegetation degradation and its driving factors in Shaanxi Province[J]. Chinese Journal of Ecology,2015,34(10):2907-2913.(in Chinese)]
[14] 贾宝全.基于TM卫星影像数据的北京市植被变化及其原因分析[J].生态学报,2013,33(5):1654-1666.[JIA B Q. Driving factor analysis on the vegetation changes derived from the Landsat TM images in Beijing[J]. Acta Ecologica Sinica, 2013,33(5):1654-1666.(in Chinese)]
[15] 巴音德乐黑,包翔,周梅,等.基于MODIS NDVI的大兴安岭北坡植被覆盖时空变化特征[J].林业资源管理,2018(6):50-56.[BA Y, BAO X, ZHOU M, et al. Temporal and spatial variation characteristics of vegetation cover on the northern slope of Daxing'anling based on MODIS NDVI[J]. Forest Resources Management,2018(6):50-56.(in Chinese)]
[16] 吴昌广,周志翔,肖文发,等.基于MODIS NDVI的三峡库区植被覆盖度动态监测[J].林业科学,2012,48(1):22-28.[WU C G, ZHOU Z X, XIAO W F, et al. Dynamic monitoring of vegetation coverage in Three Gorges reservoir area based on MODIS NDVI[J]. Scientia Silvae Sinicae,2012,48(1):22-28.(in Chinese)]
[17] 赵艳霞,徐全洪,秦彦杰,等.河北省地貌空间信息系统研建初探[J].地理空间信息,2013,11(3):85-87.[ZHAO Y X, XU Q H, QIN Y J, et al. Establishment of landscape spatial information system in Hebei province[J]. Geospatial Information,2013,11(3):85-87.(in Chinese)]
[18] 李炳元,潘保田,韩嘉福.中国陆地基本地貌类型及其划分指标探讨[J].第四纪研究,2008,28(4):535-543.[LI B Y, PAN B T, HAN J F. Basic terrestrial geomorphological types in China and their circumscriptions[J]. Quaternary Sciences,2008,28(4):535-543.(in Chinese)]
-
计量
- 文章访问数: 954
- PDF下载数: 75
- 施引文献: 0
下载: