A RS-based study on changes in fractional vegetation cover in North Shaanxi and their driving factors
-
摘要: 基于2000—2015年的陕北地区MODIS数据,通过地理信息系统和遥感技术,结合SPSS22.0平台,运用反距离权重、Pearson相关分析等方法,研究了陕北地区的植被覆盖度时空变化,结合降水、气温、社会经济等数据,研究植被变化的驱动因素。研究表明: 2000—2015年的16 a间,研究区植被覆盖度整体在0.35~0.55之间; 气候因素分布具有时空差异性,对植被覆盖度的影响程度不同。根据主成分分析结果,国内生产总值、农村人口、总人口、耕地面积、降水和气温的贡献率分别为41.4%,-38.3%,35.7%,32.8%,21.3%和7.1%。通过研究植被覆盖的驱动因素,为未来的生态环境保护提供了科学依据。Abstract: This study investigates the spatial-temporal changes in the fractional vegetation cover in North Shanxi using the methods of inverse distance weighting and Pearson correlation analysis based on the GIS, RS, and SPSS22.0 platforms and the MODIS data of North Shanxi from 2000 to 2015. Meanwhile, it researches the driving factors of the vegetation changes according to the data of precipitation, air temperature, and social economy. The results are as follows. During 2000-2015, the overall fractional vegetation cover in the study area varied in the range of 0.35~0.55. Meanwhile, the spatial-temporal differences in the distribution of climatic factors produced different effects on the fractional vegetation cover. According to the results of principal component analysis, the contribution rates of GDP, rural population, total population, cultivated land area, precipitation, and air temperature were 41.4%, -38.3%, 35.7%, 32.8%, 21.3%, and 7.1%, respectively for the changes in the fractional vegetation cover. The study on the driving factors of vegetation cover will provide a scientific basis for future ecological protection.
-
Key words:
- vegetation coverage /
- climate change /
- spatial-temporal change /
- trend analysis /
- socio-economic factors /
-
-
[1] 郭力宇, 李雨思, 王涛, 等. 气候变化与人类活动对植被覆盖的影响[J]. 西安科技大学学报, 2020,40(1):148-156.
[2] Guo L Y, Li Y S, Wang T, et al. The impact of climate change and human activities on vegetation coverage[J]. Journal of Xi’an University of Science and Technology, 2020,40(1):148-156.
[3] 杨元合, 朴世龙. 青藏高原草地植被覆盖变化及其与气候因子的关系[J]. 植物生态学报, 2006(1):1-8.
[4] Yang Y H, Piao S L. Grassland vegetation cover change on the Qinghai-Tibet Plateau and its relationship with climate factors[J]. Chinese Journal of Plant Ecology, 2006(1):1-8
[5] 郭永强, 王乃江, 褚晓升, 等. 基于Google Earth Engine分析黄土高原植被覆盖变化及原因[J]. 中国环境科学, 2019,39(11):4804-4811.
[6] Guo Y Q, Wang N J, Chu X S, et al. Analysis of vegetation cover changes and causes in the Loess Plateau based on Google Earth Engine[J]. China Environmental Science, 2019,39(11):4804-4811.
[7] 李登科, 王钊. 退耕还林后陕西省植被覆盖度变化及其对气候的响应[J]. 生态学杂志, 2020,39(1):1-10.
[8] Li D K, Wang Z. The change of vegetation coverage in Shaanxi Province after returning farmland to forest and its response to climate[J]. Journal of Ecology, 2020,39(1):1-10.
[9] Camberlin P, Martiny N, Philippon N, et al. Determinants of the interannual relationships between remote sensed photosynthetic activity and rainfall in tropical Africa[J]. Remote Sensing of Environment, 2008,106(2):199-216.
[10] Cuomo V, Lanfredi M, Lasaponara R, et al. Detection of interannual variation of vegetation in middle and southern Italy during 1985—1999 with 1 km NOAA AVHRR NDVI data[J]. Journal of Geophysical Research Atmospheres, 2001,106(D16):17863-17876.
[11] Evans J, Geerken R. Discrimination between climate and human-induced dryland degradation[J]. Journal of Arid Environments, 2004,57(4):535-554.
[12] Sun C F, Liu Y, Song H M, et al. Tree-ring evidence of the impacts of climate change and agricultural cultivation on vegetation coverage in the upper reaches of the Weihe River,northwest China[J]. Science of the Total Environment, 2020,707.
[13] 韩贵锋. 中国东部地区植被覆盖的时空变化及其人为因素的影响研究[D]. 上海:华东师范大学, 2007.
[14] Han G F. Study on the temporal and spatial changes of vegetation cover in eastern China and the influence of human factors[D]. Shanghai:East China Normal University, 2007.
[15] 熊育久, 赵少华, 鄢春华, 等. 城市绿地资源多尺度监测与评价方法探讨[J]. 国土资源遥感, 2021,33(1):54-62.doi: 10.6046/gtzyyg.2020069.
[16] Xiong Y J, Zhao S H, Yan C H, et al. Discussion on multi-scale monitoring and evaluation methods of urban green space resources[J]. Remote Sensing for Land and Resources, 2021,33(1):54-62.doi: 10.6046/gtzyyg.2020069.
[17] 朱林富. 基于MODIS数据的植被覆盖度时空变化及石漠化监测研究[D]. 重庆:西南大学, 2018.
[18] Zhu L F. Research on spatiotemporal changes of vegetation coverage and rocky desertification monitoring based on MODIS data[D]. Chongqing:Southwest University, 2018.
-
计量
- 文章访问数: 361
- PDF下载数: 11
- 施引文献: 0
下载: