基于MODIS NDVI的广西沿海植被动态及其主要驱动因素

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 基于MODIS NDVI的广西沿海植被动态及其主要驱动因素 DOI: 10.5846/stxb201509091866 作者: 作者单位: 北京师范大学环境学院 水环境模拟国家重点实验室,北京师范大学环境学院 水环境模拟国家重点实验室,北京师范大学环境学院 水环境模拟国家重点实验室,中国科学院生态环境研究中心城市与区域生态国家重点实验室,北京师范大学环境学院 水环境模拟国家重点实验室,广西壮族自治区海洋研究院 作者简介: 通讯作者: 中图分类号: 基金项目: 国家自然科学基金资助项目（41571173）；国家科技支撑计划资助项目（2014BAK19B06）；广西壮族自治区海洋研究院自主课题资助项目 The dynamics and main driving factors of coastal vegetation in Guangxi based on MODIS NDVI Author: Affiliation: State Key Laboratory of Water Environment Simulation,School of Environment,Beijing Normal University,Beijing,State Key Laboratory of Water Environment Simulation,School of Environment,Beijing Normal University,Beijing,State Key Laboratory of Water Environment Simulation,School of Environment,Beijing Normal University,Beijing,,, Fund Project: 摘要 | 图/表 | 访问统计 | 参考文献 | 相似文献 | 引证文献 | 资源附件 | 文章评论 摘要:归一化植被指数（NDVI）可以表征区域植被状况，目前利用NDVI表征沿海区域植被动态的研究仍相对缺乏。以MODIS NDVI为源数据，分析2000-2014年间，广西沿海区域的植被动态、NDVI动态趋势和持续性，以及NDVI动态的主要驱动因素。结果表明：在海岸线10 km区域范围内，NDVI均值较高（0.71），年际间波动较小（SD为0.02）。空间上，NDVI呈现出陆地高、滨海和河口区域低的分布特征，不同类型植被NDVI差异显著，以广泛分布于陆地的林地最高（0.76），以滨海湿地植被（0.52）和其他类型植被（未利用地等）最低（0.50）。植被动态趋势（斜率k）表明，57%的林地表现为改善趋势（k≥0.002），而52%的滨海湿地则表现为退化趋势（k≤-0.002）。利用Hurst指数对生态持续性进行分析，林地、旱地表现为持续改善，滨海湿地呈现持续退化的趋势。驱动因素分析表明，气象因素对植被NDVI的影响均不显著，NDVI的动态主要受地形特征和人为因素的影响，NDVI及其动态趋势与复合地形指数和距河流的距离多呈负相关，与坡度、高程、距交通线路和城镇的距离多为正相关。总体上，区域内NDVI动态趋势以良性发展为主，但滨海湿地等呈现持续退化的区域需持续关注。 Abstract:The normalized difference vegetation index (NDVI) can be used to characterize a region's vegetation status, however, there have been few studies on the NDVI dynamics of coastal wetland areas. Using MODIS NDVI as the data source, we analyzed the vegetation dynamics, NDVI trend, and the main driving factors of NDVI in the coastal wetland areas of Guangxi from 2000 to 2014. The results showed that in the coastal wetland area with a 10-km buffer, the mean NDVI value was relatively high (0.71). However, annual fluctuations were more stable (SD=0.02). Spatially, NDVI showed a higher trend in terrestrial land and a lower trend in coastal and estuarine areas. The NDVI values of various vegetation types were significantly different, and the highest value was recorded for woodland, which is widely distributed in the terrace (0.76), and the lowest value was found for coastal wetland (0.52) and other vegetation types (e.g., bare land) (0.50). The vegetation trend (slope k) showed that 57% of the woodland was improving (k≥0.002), and 52% of the coastal wetland was degrading (k ≤-0.002). The Hurst index of the sustainability of vegetation showed that forest land and dry land have been continuously improving, while the coastal wetland showed a trend of continuous degradation. The influence of meteorological factors on NDVI dynamics was not significant, and the NDVI was mainly affected by topographic characteristics and human activities. NDVI and its trend were negatively correlated with comprehensive topographic indexes and the distance from the river, and positively correlated with slope, altitude, and the distance from roads and valleys. Altogether, most regions showed positive development, but the coastal wetland exhibited degradation and needed to be improved. 参考文献 相似文献 引证文献