新疆植被覆盖度趋势演变实验性分析
Experimental analysis of spatial and temporal dynamics of fractional vegetation cover in Xinjiang
查看参考文献64篇
|
文摘
|
基于MODIS-NDVI数据,提取新疆2005-2015年植被覆盖度(FVC)。通过依据海拔和植被覆盖度的指标划分出山地、绿洲、平原、荒漠等11个子系统。通过斜率、变异系数、线性回归模型等方法来对全疆和不同生态分区的现状和未来发展趋势进行分析,并用BP人工神经网络来预测新疆2016-2020年的植被覆盖度的时空变化和分析2005-2020年时空动态变化趋势。主要结论为:①新疆植被覆盖度总体为上升趋势,从西北向东南逐渐下降;山地呈逐年上升趋势,荒漠呈不显著退化趋势。植被覆盖度的变化主要是由降水量的变化引起;②在整个新疆的荒漠和绿洲边缘构成了一个“绿洲—荒漠改善过渡带”,绿洲呈明显的改善趋势;③ 2009年是研究期内多数分区植被覆盖度的历史最低点;④在山脉的冰川积雪、湖泊周围的变异性很大,范围在150%~316%之间,这主要是由于气候变化、冰川消融和湖泊水位的波动变化所致;⑤北疆生态明显好于东疆与南疆,其绿洲区域呈现明显的改善趋势。伊犁地区的植被覆盖度相比于其他3个分区的变幅很大,山地区域呈明显的逐年退化趋势。伊犁地区植被覆盖度的局部最低点是在2008年,比其他分区的2009年提前了一年,相应的存在“实时”(伊犁)和“滞后”(东疆、南疆和北疆)的效应,主要是由于降水量和气温的变化所致。 |
|
其他语种文摘
|
This paper presents spatial and temporal dynamics of fraction of vegetation in Xinjiang Uygur Autonomous Region of China. Fractional vegetation cover (FVC) was estimated by using MODIS-NDVI data from 2005 to 2015. The study area was divided into 11 ecological and climate regions according to the altitude and land cover. Slope, variability and linear regression model were used to analyze the present situation and future tendency for FVC in Xinjiang and its sub-regions. The BP-ANN neural network analysis was used to predict FVC from 2016 to 2020, and the FVC trend over the entire study area during 2005- 2020 was discussed. The results showed that: From 2005 to 2015, FVC increased in general over time, and spatially, decreased from northwest to southeast; In mountain areas, FVC increased in general; desert system showed no significant change, and multi-average FVC was about 0.10. The dynamic change of FVC was mainly caused by precipitation. We observed an improvement of vegetation cover over oasis and desert ecotone. FVC showed a significant increase over oasis. The year 2009 was the turning point with a historical low value. The variation near areas covered by ice and snow, river and lakes was remarkable, showing a change rate of 150%- 316%. This change was probably responded by glacial depletion and fluctuation changes of lakes due to global climate change. The ecosystem in northern Xinjiang is obviously better than that in southern and eastern Xinjiang. In terms of oasis, the northern part is improved remarkably (P = 0.001). There was an obvious FVC fluctuation in Yili region compared to other regions. The mountain area showed an obvious degeneration tendency. The local minima point of FVC was observed in Yili in 2008, while it was in the other three regions in 2009. The lag of local minima occurring in the northern and southern parts of the study areas may have been caused by precipitation and temperature variation across the study area. Predicted average FVC from 2016- 2020 demonstrated trends and patterns identical to 2005- 2015 with some local differences. For example, FVC increases (P = 0.002) during 2005-2020 in general. In desert areas, the trend is from non-significant decrease during 2005-2015 to nonsignificant increase for 2005- 2020. In oasis region, predicted FVC showed a slightly rising trend compared to the obviously rising trend in 2005-2015. The multi-average FVC is above 0.62 and it showed improvement during 2005-2020. For sub-regions and ecosystems, the trend differs significantly between 2005- 2015 and 2005- 2020. In northern part, the trend in 2005- 2020 was almost the same with that of 2005- 2015, while in 2016- 2020 the tendency was opposite to 2005-2015, with oasis and mountain FVC showing a decreasing trend. In Yili, the general trend in 2005-2020 was almost the same with that of 2005-2015, but the amplitude of variation became smaller in 2016-2020 when compared to early stage and the mountain area showing a remarkably decreasing trend. Our results demonstrated that BP- ANN model can predict FVC in Xinjiang with statistical significance, the coefficient of determination (R~2) of 0.95, root-mean-square error of 0.05, suggesting that this method gained a statisifactory result. |
|
来源
|
地理学报
,2016,71(11):1948-1966 【核心库】
|
|
DOI
|
10.11821/dlxb201611007
|
|
关键词
|
植被覆盖度
;
MODIS
;
BP-ANN
;
气候变化
;
新疆
|
|
地址
|
1.
新疆大学资源与环境科学学院, 绿洲生态教育部重点实验室, 乌鲁木齐, 830046
2.
圣路易斯大学可持续性研究中心, 圣路易斯, 63108
|
|
语种
|
中文 |
|
文献类型
|
研究性论文 |
|
ISSN
|
0375-5444 |
|
学科
|
植物学 |
|
基金
|
新疆维吾尔自治区重点实验室课题
;
新疆大尺度土壤盐渍化监测与预警网络系统平台研发
;
国家自然科学基金项目
;
教育部促进与美大地区科研合作项目
|
|
文献收藏号
|
CSCD:5858864
|
参考文献 共
64
共4页
|
|
1.
Kutiel P. Vegetation establishment on the southern Israeli Coastal sand dunes between the years 1965 and 1999.
Landscape and Urban Planning,2004,67(1/4):141-156
|
CSCD被引
15
次
|
|
|
|
|
2.
Steffen W. The IGBP terrestrial transects: Tools for resource management and global change research at the regional scale.
Towards Sustainable Management in the Kalahari Region: Some Essential Background and Critical Issues,2003
|
CSCD被引
1
次
|
|
|
|
|
3.
Zhang X F. Fractional vegetation cover estimation in arid and semi-arid environments usin HJ-1 satellite hyperspectral data.
International Journal of Applied Earth Observation and Geoinformation,2013,21:506-512
|
CSCD被引
24
次
|
|
|
|
|
4.
李向婷. 新疆荒漠稀疏植被覆盖度信息遥感提取方法比较.
干旱区地理,2013,36(3):502-511
|
CSCD被引
35
次
|
|
|
|
|
5.
Shoshany M. Monitoring temporal vegetation cover changes in Mediterranean and arid ecosystems using a remote sensingtech-nique.
Journal of Arid Environments,1996,33:9-21
|
CSCD被引
16
次
|
|
|
|
|
6.
Gutman G. The derivation of the green vegetation fraction from NOAA/AVHRR data for use in numerical weather prediction models.
International Journal of Remote Sensing,1998,19(8):1533-1543
|
CSCD被引
346
次
|
|
|
|
|
7.
Hirano Y. Urban climate simulation by incorporating satellite-derived vegetation cover distribution into a mesoscale meteorological model.
Theoretical and Applied Climatology,2004,79(3/4):175-184
|
CSCD被引
9
次
|
|
|
|
|
8.
Jiapaer G. A comparison of methods for estimating fractional vegetation cover in arid regions.
Agricultural and Forest Metorology,2011,151:1698-1710
|
CSCD被引
51
次
|
|
|
|
|
9.
赵舒怡. 2001-2013年华北地区植被覆盖度与干旱条件的相关分析.
地理学报,2015,70(5):717-729
|
CSCD被引
69
次
|
|
|
|
|
10.
Evans R A. The step-point method of sampling.
Journal of Range Management,1957,19:208-212
|
CSCD被引
2
次
|
|
|
|
|
11.
Mentis M T. Evaluation of the wheel-point and step-point methods of veld condition assessment.
African Journal of Range and Forage Science,1981,16:89-94
|
CSCD被引
2
次
|
|
|
|
|
12.
Okin Gregory S. Comparison of methods for estimation of absolute vegetation and soil fractional cover using MODIS normalized BRDF-adjusted reflectance data.
Remote Sensing of Environment,2013,130:266-279
|
CSCD被引
8
次
|
|
|
|
|
13.
Graetz R D. The assessment and monitoring of sparsely vegetated rangelands using calibrated Landsat data.
International Journal of Remote Sensing,1988,9:1201-1222
|
CSCD被引
36
次
|
|
|
|
|
14.
Gitelson A A. Novel algorithms for remote estimation of vegetation fraction.
Remote Sensing of Environment,2002,80(1):76-87
|
CSCD被引
368
次
|
|
|
|
|
15.
Hansen M C. Towards an operational MODIS continuous field of percent tree cover algorithm: examples using AVHRR and MODIS data.
Remote Sensing of Environment,2002,83:303-319
|
CSCD被引
28
次
|
|
|
|
|
16.
Goetz S J. IKONOS imagery for resource management: tree cover, impervious surfaces, and riparian buffer analyses in the mid-atlantic region.
Remote Sensing of Environment,2003,88:195-208
|
CSCD被引
20
次
|
|
|
|
|
17.
Boyd D S. Evaluation of approaches for forest cover estimation in the Pacific Northwest, USA, using remote sensing.
Applied Geography,2002,22:375-392
|
CSCD被引
36
次
|
|
|
|
|
18.
王瑞强. 海南省五指山市植被覆盖度估算.
林业资源管理,2010(5):81-85
|
CSCD被引
1
次
|
|
|
|
|
19.
蔡博峰. 基于遥感的植被长时序趋势特征研究进展及评价.
遥感学报,2009,13(6):1177-1186
|
CSCD被引
11
次
|
|
|
|
|
20.
冯莉莉. 基于MODIS-NDVI数据的吉林省植被覆盖度及其时空动态变化.
中国科学院大学学报,2014,31(4):492-499,536
|
CSCD被引
13
次
|
|
|
|
|
了解气象卫星更多信息，请访问