Study on Vegetation Restoration Dynamics on Sides of Expressway—A Case Study of Fuzhao Expressway from Fuzhou to Xianyou

doi:10.13466/j.cnki.lyzygl.2018.05.020

Abstract

Abstract:

In this paper,the Landsat series satellite images from 2010,2013 and 2016 are selected as the main data sources.Taking the Fuzhao high-speed section from Fuzhou to Xianyou as an example,the vegetation restoration dynamic change before and after the construction of the road section(2010—2016) is evaluated by using the vegetation normalization index.The results show that the annual vegetation NDVI fluctuates between 0.21 and 0.42 in 2010—2016,the maximum value is 0.42 in 2010,and the minimum value is 0.21 in 2016.In 2010—2013,due to the construction of Fushun Expressway,the vegetation degradation area of the road zone reached 66.95%,and the proportion of good ecological grade decreased from 58.96% to 20.35%.The vegetation degraded only 16.23% in 2013—2016,which is obviously less than that in 2010—2013.The proportion of excellent grade has increased from 20.35% to 35.08,which is closely related to the gradual attention paid to the ecological restoration of road zone in Fuzhou in recent years.

Key words: NDVI, road zone, vegetation, ecology grade, restoration

CLC Number:

YAO Jixue, QIU Rongzu, LIN Yuying, WANG Jiankai, YE Limin, HU Xisheng. Study on Vegetation Restoration Dynamics on Sides of Expressway—A Case Study of Fuzhao Expressway from Fuzhou to Xianyou[J]. FOREST RESOURCES WANAGEMENT, 2018, 0(5): 128-133.

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References 20

[1]	杜智民. 基于RS,GIS的高速公路生态景观技术研究[D]. 西安:长安大学, 2009 .
[2]	Noss R F, Cooperrider A Y. Saving nature’s legacy:protecting and restoring biodiversity[J]. Economic Botany, 1996,50(3):317. doi: 10.1007/BF02907340
[3]	Spellerberg I F. Ecological Effects of Roads[J]. New Hampshire:Science Publishers, 2002.
[4]	徐涵秋, 陈本清. 厦门市植被变化的遥感动态分析[J]. 地球信息科学学报, 2003,5(2):105-108.
[5]	李一静, 曾辉, 魏建兵. 基于归一化植被指数变化分级的深圳市植被变化[J]. 应用生态学报, 2008,19(5):1064-1070.
[6]	陈亮, 陈世俭, 蔡晓斌, 等.基于时序NDVI的三峡库区植被覆盖时空变化特征分析[J]. 华中师范大学学报:自然科学版, 2017,51(3):407-415.
[7]	Boffat A S. Resurgent forest can be greenhouse gas sponges[J]. Science, 1997,277:315-316. doi: 10.1126/science.277.5324.315
[8]	吴立新, 马保东, 刘善军. 基于SPOT卫星NDVI数据的神东矿区植被覆盖动态变化分析[J].煤炭学报, 2009(9):1217-1222.
[9]	施金生. 福建福诏高速公路景观绿化植物种类调查[J]. 亚热带植物科学, 2002,31(3):56-62.
[10]	徐涵秋, 黄绍霖. Landsat 8 TIRS热红外光谱数据定标准确性的分析[J]. 光谱学与光谱分析, 2016,36(6):1941-1948.
[11]	Chander G, Markham B L, Helder D L. Summary of current radiometric calibration coefficients for Landsat MSS,TM,ETM+,and EO-1 ALI sensors[J]. Remote Sensing of Environment, 2009,113:893-903. doi: 10.1016/j.rse.2009.01.007
[12]	侯姗姗, 王鹏新. 利用地形图对TM遥感影像进行几何精校正的方法研究[J]. 北京测绘, 2010,30(2):27-31.
[13]	Goward S N, Xue Y K, Czajkowski K P. Evaluating land surface moisture conditions from the remotely sensed temperature/vegetation indexmeasurements An exploration with the simplified simple biosphere model[J]. Remote Sensing of Environment, 2002,79(2/3):225-242. doi: 10.1016/S0034-4257(01)00275-9
[14]	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.
[15]	Jipaer G, Liang S L, Yi Q X, et al. Vegetation dynamics and responses to recent climate change in Xinjiang usingleaf area index as an indicator[J]. Ecological Indicators, 2015,58:64-76.
[16]	丁文荣. 金沙江下段植被 DNVI变化趋势及其归因[J]. 南水北调与水利科技, 2017,15(1):107-112.
[17]	刘晓青. 辽西北地区生态安全评价与主要影响因子分析[D]. 大连:辽宁师范大学, 2012.
[18]	李辉霞, 刘国华, 傅伯杰. 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.
[19]	陈吉龙. 重庆市三峡库区植被覆盖度的遥感估算及动态变化研究[D]. 重庆:西南大学, 2010.
[20]	王静, 王克林, 张明阳, 等. 南方丘陵山地带NDVI时空变化及其驱动因子分析[J]. 资源科学, 2014,36(8):1712-1723.

植被情况	2010年	2013年	2016年
差	0.71	39.79	27.65
较差	0.69	18.98	17.57
中等	39.64	20.88	19.70
良好	21.52	6.95	20.51
优	37.44	13.40	14.57
合计	100.00	100.00	100.00

类别	2013—2010面积比例	2016—2013的面积比例
退化	66.95	16.23
不变	33.01	83.00
改善	0.04	0.77