Spatiotemporal Variation of NDVI and Its Influence Factors in Shaanxi Province During 2003-2017

Tong Yingjie; Wen Yanjun; Zhang Chong

doi:10.13961/j.cnki.stbctb.2020.03.022

您当前的位置：

首页 >

文章列表页 >

Spatiotemporal Variation of NDVI and Its Influence Factors in Shaanxi Province During 2003-2017

- Spatiotemporal Variation of NDVI and Its Influence Factors in Shaanxi Province During 2003-2017
- Bulletin of Soiland Water Conservation Vol. 40, Issue 3, Pages: 155-162(2020)
- 作者机构：
  
  1. 宝鸡文理学院陕西省灾害监测与机理模拟重点实验室,陕西,宝鸡,721013
  2. 宝鸡文理学院地理与环境学院,陕西,宝鸡,721013
- 作者简介：
- 基金信息：
- DOI：10.13961/j.cnki.stbctb.2020.03.022
  CLC： Q948;X87
- Published：2020
- 稿件说明：
移动端阅览
Tong Yingjie, Wen Yanjun, Zhang Chong. Spatiotemporal Variation of NDVI and Its Influence Factors in Shaanxi Province During 2003-2017[J]. Bulletin of Soiland Water Conservation, 2020, 40(3): 155-162.
DOI：

Tong Yingjie, Wen Yanjun, Zhang Chong. Spatiotemporal Variation of NDVI and Its Influence Factors in Shaanxi Province During 2003-2017[J]. Bulletin of Soiland Water Conservation, 2020, 40(3): 155-162. DOI： 10.13961/j.cnki.stbctb.2020.03.022.

摘要

[目的] 研究影响陕西省植被覆盖主导气候类和非气候类因子，为区域生态文明建设提供科学依据。[方法] 基于2003—2017年MODIS NDVI数据，利用趋势分析和地理探测器模型等方法，研究了气候类和非气候因素对陕西省植被覆盖的影响。[结果] ①2003—2017年陕西省NDVI空间分布总体上为改善趋势，但在不同植被类型区和生态区有所差异。②降水是影响陕西省植被覆盖空间分布的主导气候类因素，其他因素对当地植被覆盖影响程度有所差异。③降水与气温、日照、风速、相对湿度的交互作用对陕西省植被覆盖空间分布起主导作用。且气温的作用只有在和降水的交互作用下才能体现出来。④植被类型和地貌是陕西省植被覆盖空间分布的主导非气候类因素，其他因素的影响有所差异。⑤植被类型、地貌和土壤类型之间的交互作用对陕西省植被覆盖空间分布起主导作用。人口、GDP的影响也只有在与其他因素的交互作用下才能显现出来。[结论] 气候类因素的影响大于非气候类因素，气候类和非气候类因素的共同作用能够充分的解释植被覆盖空间分布。

Abstract

[Objective] The dominant climatic and non-climatic factors of vegetation cover in Shaanxi Province were studied in order to provide a scientific basis for the construction of regional ecological civilization.[Methods] Based on the MODIS normalized difference vegetation index (NDVI) data from 2003 to 2017

the effects of climatic and non-climatic factors on the vegetation coverage were studied using trend analysis and geographic detector in Shaanxi Province.[Results] ① The NDVI in Shaanxi Province generally improved from 2003 to 2017. However

there were differences between vegetation types and ecological areas. ② In terms of climatic factors

the spatial distribution of vegetation coverage was mainly affected by the precipitation in Shaanxi Province

and other climatic factors had different influences on local vegetation cover. ③ The interaction of precipitation and temperature

sunshine

wind speed

and relative humidity had a leading role in the spatial change of vegetation coverage in Shaanxi Province

whereas the sole interaction between temperature and precipitation had significant effect on vegetation coverage. ④ In terms of non-climatic factors

the spatial distribution of vegetation coverage was mainly affected by vegetation type and the topography in Shaanxi Province. ⑤ Vegetation types and landforms were the dominant non-climatic factors affecting the spatial distribution of vegetation coverage in Shaanxi Province. However

the impact of population and gross domestic product on vegetation cover could only be seen through interaction with other factors.[Conclusion] The influence of climatic factors was greater than that of non-climatic factors. The combined effect of climatic and non-climatic factors could completely explain the spatial distribution of vegetation coverage.

关键词

Keywords

references

Roerink G J, Menenti M, Soepboer W, et al. Assessment of climate impaction vegetation dynamics by using remote sensing [J]. Physics and Chemistry of the Earth,2003,28(1/2/3):103-109.

张华,张改改,吴睿.基于GF-1卫星数据的面向对象的民勤绿洲植被分类研究[J].干旱区地理,2017,40(4):831-838.

易浪,任志远,张翀,等.黄土高原植被覆盖变化与气候和人类活动的关系[J].资源科学,2014,36(1):166-174.

焦全军,付安民,张肖,等.基于MODIS数据的锡林郭勒草原植被覆盖变化及驱动因子分析[J].北京工业大学学报,2017,43(5):659-664.

宋开山,张柏,王宗明,等.大豆叶绿素含量高光谱反演模型研究[J].农业工程学报,2006,22(8):16-21.

徐新刚,王纪华,黄文江,等.基于权重最优组合和多时相遥感的作物估产[J].农业工程学报,2009,25(9):137-142.

陈晋,陈云浩,何春阳,等.基于土地覆盖分类的植被覆盖率估算亚像元模型与应用[J].遥感学报,2001,5(6):416-422.

岳辉,刘英.近15 a陕西省植被时空变化与影响因素分析[J].干旱区地理,2019,42(2):314-323.

李跃鹏,刘海艳,周维博.陕西省1982—2015 NDVI时空分布特征及其与气候因子相关性[J].生态科学,2017,36(6):153-160.

孙锐,陈少辉,苏红波.2000—2016年黄土高原不同土地覆盖类型植被NDVI时空变化[J].地理科学进展,2019,38(8):1248-1258.

张仁平,冯琦胜,郭靖,等.2000—2012年中国北方草地NDVI和气候因子时空变化[J].中国沙漠,2015,35(5):1403-1412.

何宝忠,丁建丽,张喆,等.新疆植被覆盖度趋势演变实验性分析[J].地理学报,2016,71(11):1948-1966.

师庆东,吕光辉,潘晓玲,等.遥感影像中分区分类法及在新疆北部植被分类中的应用[J].干旱区地理,2003,26(3):264-268.

张琪,袁秀亮,陈曦,等. 1982—2012年中亚植被变化及其对气候变化的响应[J].植物生态学报,2016,40(1):13-23.

韦振锋,任志远,张翀,等.西北地区植被覆盖变化及其与降水和气温的相关性[J].水土保持通报,2014,34(3):283-289.

焦珂伟,高江波,吴绍洪,等.植被活动对气候变化的响应过程研究进展[J].生态学报,2018,38(6):2229-2238.

马启民,贾晓鹏,王海兵,等.气候和人为因素对植被变化影响的评价方法综述[J].中国沙漠,2019,39(6):48-55.

Mueller T, Dressler G, Tucker C, et al. Human land-use practices lead to global long-term increases in photosynthetic capacity [J]. Remote Sensing, 2014,6(6):5717-5731.

Liu Ya, Li Yan, Li Shuangcheng, et al. Spatial and temporal patterns of global NDVI trends: Correlations with climate and human factors [J]. Remote Sensing, 2015,7(10):13233-13250.

李建平,张柏,张树清.吉林省西部草地的时空变化及其驱动因素分析[J].自然资源学报,2005,20(6):830-835.

Chen Baoxiong, Zhang Xianzhou, Tao Jian, et al. The impact of climate change and anthropogenic activities on alpine grassland over the Qinghai-Tibet Plateau [J]. Agricultural and Forest Meteorology, 2014,189/190:11-18.

Xu Haojie, Wang Xinping, Zhang Xiaoxiao. Alpine grasslands response to climatic factors and anthropogenic activities on the Tibetan Plateau from 2000 to 2012 [J]. Ecological Engineering, 2016, 92: 251-259.

Mu Shaojie, Zhou Shuangxi, Chen Yizhao, et al. Assessing the impact of restoration-induced land conversion and management alternatives on net primary productivity in Inner Mongolian grassland, China [J]. Global and Planetary Change, 2013, 108: 29-41.

Wang Jinfeng, Li Xinhu, Christakos G, et al. Geographical detectors-based health risk assessment and its application in the neural tube defects study of the Heshun region, China [J]. International Journal of Geographical Information Science, 2010, 24(1):107-127.

Wang Jinfeng, Hu Yi. Environmental health risk detection with GeogDetector [J]. Environmental Modelling & Software, 2012,33(7):114-115. [26] 裴志林,杨勤科,王春梅,等.黄河上游植被覆盖度空间分布特征及其影响因素[J].干旱区研究,2019,36(3):546-555. [27] 李媛媛,徐成东,肖革新,等.京津唐地区细菌性痢疾社会经济影响时空分析[J].地球信息科学学报,2016,18(12):1615-1623. [28] 崔晓临,赵娟,白红英,等.基于MODIS NDVI的陕西省植被覆盖变化分析[J]. 西北农林科技大学学报(自然科学版),2013,41(5):87-93. [29] 刘志红, Li Lingtao, Tim R,等.专用气候数据空间插值软件ANUSPLIN及其应用[J].气象,2008,34(2):92-100. [30] 翟雅倩,张翀,周旗,等.秦巴山区植被覆盖与土壤湿度时空变化特征及其相互关系[J].地球信息科学,2018,20(7):967-977. [31] 王劲峰,徐成东.地理探测器:原理与展望[J]. 地理学报,2017,72(1):116-134. [32] 毕硕本,计晗,陈昌春,等.地理探测器在史前聚落人地关系研究中的应用与分析[J].地理科学进展,2015,34(1):118-127. [33] 高登义,邹捍,周立波,等.中国山地环境气象研究进展[J].大气科学,2003,27(4): 567-590. [34] 刘学军,卢华兴,仁政,等.论DEM地形分析中的尺度问题[J].地理研究,2007,26(3):434-442. [35] 房亮.基于DEM地形参数计算的尺度效应研究[D].西安:西北大学,2006.

Views

1560

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Spatiotemporal changes and driving mechanisms of vegetation cover in Dongting Lake area based on kNDVI and structural equation model

Comprehensive benefits evaluation of desertification land management in Shaanxi Province

Quantitative analysis of vegetation change and driving factors in Lancang River basin

Spatiotemporal evolution of water conservation services in north-south transition zone of China and its influencing factors—A case study in Southern Henan Province

Evaluation of the Regional Ecological Economics Development Based on Ecological FootPrint Model

Related Author

Chen Chuang

Guo Jun

Chen Da

Wang Xiaoxian

Li Moxin

Li Kun

Zeng Jian

Xiang Li

Related Institution

Changsha General Survey of Natural Resources Center， China Geological Survey

Huangshan Observation and Research Station for Land-Water Resources

School of Resources， China University of Geosciences （Wuhan）

中国地质大学（武汉）资源学院

School of Architecture and Civil Engineering， Heilongjiang University of Science and Technology

⁰