Forest and Grassland Resources Research >
Study on the Response of Vegetation Cover Change and Climate Change in Wujiang River Basin Based on MODIS Data
Received date: 2016-12-09
Revised date: 2016-12-26
Online published: 2020-10-03
The relationship among NDVI,Temperature and precipitation changes in Augusts in Wujiang River basin between 2001 and 2015 was analyzed to get the temporal and spatial variation laws of vegetation change and provide reference for ecological protection of Wujiang River Basin.Based on the data of MOD13Q1,MODIS11 C3 and TRMM3B43,the trend analysis method was used to analyze the change trend situation of NDVI in 15 years.After that,simple correlation analysis,partial correlation analysis and multiple correlation analysis were used respectively to analyze the response of NDVI change with climate change.The results are as follows:the vegetation cover change is an overall upward trend in Wujiang River basin in 15 years.The relationship between vegetation cover change and the temperature is a negative correlation.The influence of rainfall on NDVI is greater than the temperature;The temperature and precipitation effects on cultivated land is the largest and on the evergreen coniferous forest is second.Elevation of vegetation cover change at the 1 000~2000m was the largest in the evergreen coniferous forest.The decrease of vegetation cover along the Wujiang River is related to the cascade development of Wujiang River Basin,NDVI changes in the area of the hydropower station were shown as the core outward radiation reduction.The increase of vegetation coverage in the study area was mainly concentrated in the urban suburb,which is dominated by coniferous forest and cultivated land.It is the result of human being and climate interaction.The percentage of precipitation driven vegetative coverage is 27.75% in Wujiang River basin,the climate response larger than vegetation type is given priority to cultivated land;The percentage of the non-temperature and precipitation driven vegetative coverage is 72.25% in Wujiang River basin and human activities on the wujiang river basin vegetation cover change plays a leading role.The increase of vegetation coverage in the study area is mainly concentrated in the urban suburb,which is dominated by coniferous forest and cultivated land.It is the result of human being and climate interaction.
Yueyue SHI , Zhengtong YIN , Wenfeng ZHENG . Study on the Response of Vegetation Cover Change and Climate Change in Wujiang River Basin Based on MODIS Data[J]. Forest and Grassland Resources Research, 2017 , 0(1) : 127 -134 . DOI: 10.13466/j.cnki.lyzygl.2017.01.021
| [1] | 郑伟, 王中美 . 贵州喀斯特地区降雨强度对土壤侵蚀特征的影响[J]. 水土保持研究, 2016,23(6):333-339. |
| [2] | W Zheng, X Li, L Yin, Y Wang . The Retrieved Urban LST in Beijing Based on TM,HJ-1B and MODIS[J]. Arabian Journal for Science and Engineering 2016,41(6):2325-2332. |
| [3] | Wu C D, Lung S C C. Application of 3-D Urbanization Index to Assess Impact of Urbanization on Air Temperature[J]. Scientific Reports, 2016,6:1-9. |
| [4] | Compton J, Tucker K A, Yager . Ten Years of MODIS in space:lessons learned and future perspectives[J]. Italian Journal of Remote Sensing, 2011,43(3):7-18. |
| [5] | Ge J . MODIS observed impacts of intensive agriculture on surface temperature in the southern Great Plains[J]. International Journal of Climatology, 2010,30(13):1994-2003. |
| [6] | W Zheng, X Li, L Yin , et al. Spatiotemporal heterogeneity of urban air pollution in China based on spatial analysis[J]. Rendiconti Lincei, 2016,27(2):351-356. |
| [7] | W Zheng, X Li, J Xie , et al. Impact of human activities on haze in Beijing based on grey relational analysis[J]. Rendiconti Lincei, 2015,26(2):187-192. |
| [8] | Buyantuyev A, Wu J . Urbanization alters spatiotemporal patterns of ecosystem primary production:A case study of the Phoenix metropolitan region,USA[J]. Journal of Arid Environments, 2009,73(4-5):512-520. |
| [9] | Zheng W, Li X, Lam N , et al. Applications of integrated geophysical method in archaeological surveys of the ancient Shu ruins[J]. Journal of Archaeological Science, 2013,40(1):166-175. |
| [10] | 王尧, 蔡运龙, 潘懋 . 贵州省乌江流域土地利用与土壤侵蚀关系研究[J]. 水土保持研究, 2013,20(03):11-18. |
| [11] | Du J, Zhao C, Shu J , et al. Spatiotemporal changes of vegetation on the Tibetan Plateau and relationship to climatic variables during multiyear periods from 1982-2012[J]. Environmental Earth Sciences, 2016,75(1):1-18. |
| [12] | Buyantuyev A, Wu J . Urbanization alters spatiotemporal patterns of ecosystem primary production:A case study of the Phoenix metropolitan region,USA[J]. Journal of Arid Environments, 2009,73(4-5):512-520. |
| [13] | Dong T, Liu J, Shang J , et al. Assessing the impact of climate variability on cropland productivity in the canadian prairies using time series modis fapar. Remote Sensing, 2016,281(8):1-18. |
| [14] | 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(6):227-231. |
| [15] | 袁沫汐, 邹玲, 林爱文 , 等. 湖北省地区植被覆盖变化及其对气候因子的响应[J]. 生态学报, 2016,36(17):5315-5323. |
| [16] | 赵炜 . 乌江流域人居环境建设研究[D]. 重庆:重庆大学, 2005. |
| [17] | 熊正贤 . 乌江流域民族文化资源开发与文化产业发展研究[D]. 西南民族大学, 2013. |
| [18] | 姚永慧, 张百平 . 基于MODIS数据的青藏高原气温与增温效应估算[J]. 地理学报, 2013,68(1):95-107. |
| [19] | 嵇涛, 杨华, 刘睿 , 等. TRMM卫星降水数据在川渝地区的适用性分析[J]. 地理科学进展, 2014,33(10):1375-1386. |
| [20] | Zeng H, Li L, Hu J , et al. Accuracy validation of TRMM Multisatellite Precipitation Analysis daily precipitation products in the Lancang River Basin of China[J]. Theoretical & Applied Climatology, 2013,112(3-4):389-401. |
| [21] | 李威, 蒋平, 赵卫权 , 等. TRMM卫星降水数据在喀斯特山区的适用性分析——以贵州省为例[J]. 水土保持研究, 2016,23(1):97-102. |
| [22] | 陈云浩, 李晓兵, 史培军 . 1983~1992年中国陆地NDVI变化的气候因子驱动分析[J]. 植物生态学报, 2001,25(06):716-720. |
| [23] | 王永财, 孙艳玲, 王中良 . 1998-2011年海河流域植被覆盖变化及气候因子驱动分析[J]. 资源科学, 2014,36(03):594-602. |
| [24] | 龙笛 . 贵州乌江流域的水资源开发与可持续利用[J]. 水资源与水工程学报, 2005,16(3):19-24. |
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