欢迎访问林业科学,今天是

林业科学 ›› 2019, Vol. 55 ›› Issue (9): 185-196.doi: 10.11707/j.1001-7488.20190920

• 研究简报 • 上一篇    下一篇

渭库绿洲土壤盐渍化时空变化特征

何宝忠, 丁建丽, 刘博华, 王敬哲   

  1. 新疆大学资源与环境科学学院 新疆大学资源与环境科学学院智慧城市与环境建模自治区普通高校重点实验室 新疆大学绿洲生态教育部重点实验室 乌鲁木齐 830046
  • 收稿日期:2017-05-18 修回日期:2019-08-13 发布日期:2019-10-28
  • 基金资助:
    自治区自然科学基金项目(2019D01C024);新疆大学博士启动金项目(62031224717);国家自然科学基金项目(41771470,U1303381,41261090);自治区重点实验室专项基金(2016D03001);教育部促进与美大地区科研合作与高层次人才培养项目。

Spatiotemporal Variation of Soil Salinization in Weigan-Kuqa River Delta Oasis

He Baozhong, Ding Jianli, Liu Bohua, Wang Jingzhe   

  1. College of Resource and Environmental Science, Xinjiang University Common University Key Laboratory of Smart City and Environmental Simulation, College of Resource and Environmental Science, Xinjiang University Key Laboratory of Oasis Ecology, Ministry of Education, Xinjiang University Urumqi 830046
  • Received:2017-05-18 Revised:2019-08-13 Published:2019-10-28

摘要: [目的]探明渭库绿洲土壤盐渍化时空变化特征,分析影响土壤盐渍化遥感监测的植被物候特征和陆面地表参数的重要性,为干旱区绿洲盐渍化及荒漠化的治理提供科学依据。[方法]基于MODIS-NDVI数据反演得到历年植被物候特征,耦合植被指数、干旱指数、影像反射率等陆面地表参数和植被物候特征作为Cubist回归树模型的输入因子,预测渭库绿洲2006-2016年土壤含盐量。[结果]渭库绿洲生长季开始时间集中于5-6月,生长季结束时间集中于11-12月;绿洲内部累积生物量值较高,集中于6.08~9.20;绿洲荒漠过渡带的累积生物量值较低,集中于3.64~6.08;仅用物候参数预测土壤含盐量的精度较低,而耦合物候参数和陆面地表参数预测土壤含盐量的精度(均方根误差RMSE=9.02,可决系数R2=0.72)显著高于只用陆面地表参数(RMSE=12.66,R2=0.22)或只用物候参数预测土壤含盐量的精度(RMSE=13.29,R2=0.12);温度干旱植被指数、绿洲内部累积生物量值、盐分指数、修改型土壤调整植被指数和蓝波段反射率等参数在预测土壤含盐量方面具有较高的相对重要性,表明土壤含水量、植被长势情况、植被累积生物量和可见光反射率是监测盐渍化的重要参数;渭库绿洲区域主要分布的是非盐渍化地和轻盐渍化地,土壤含盐量年平均值为7.08 g·kg-1a-1;绿洲农业区内部的土壤含盐量较低,基本上是非盐渍化地;在绿洲东部和南部外围绿洲的土壤含盐量较高,主要是中度盐渍化地;土壤盐渍化主要呈不显著减少趋势,减少幅度集中于0.00~0.764 g·kg-1a-1;少部分区域呈增加趋势,主要分布在绿洲中部区域和靠近塔里木河的南部区域,增加的幅度集中于0.00~0.742 g·kg-1a-1;2007年盐渍化程度最重,土壤含盐量均值为12.68 g·kg-1,2011年盐渍化程度最轻,土壤含盐量均值为4.61 g·kg-1。[结论]运用回归树模型能够建立完备的土壤-环境关系知识,能有效地提取区域土壤盐渍化信息。耦合植被物候参数使预测土壤盐渍化的精度显著提高,不同物候特征与土壤含盐量有明显的对应关系。渭库绿洲区域土壤盐渍化主要呈减少趋势,少部分区域呈增加趋势,盐渍化治理效果显著。主要受人为因素影响,渭库绿洲部分区域的土壤含盐量呈增加趋势,因此需要针对这些区域制定合理的盐渍化治理和生态环境保护措施。

关键词: 土壤盐渍化, 植被物候, 陆面地表参数, Cubist回归树, MODIS

Abstract: [Objective] This study was intended to explore the spatiotemporal variation of soil salinization in the Weigan-Kuqa River Delta Oasis, through analysis of the importance of vegetation phenological characteristics and land surface parameters in the remote sensing-based monitoring of salinization, in order to provide scientific support for the management of soil salinization and desertification in arid oasis.[Method] Phenology metrics (Start of season, SOS; End of season, EOS; Length of season, LEN) were derived from MODIS-NDVI data, and then coupled with land surface parameters (vegetation and salinity index, terrain attributes, drought indexes, etc) and vegetation phenological metrics as input factors of Cubist regression tree model to predict soil salinity in Weigan-Kuqa River Delta Oasis from 2006 to 2016.[Result] The SOS ranges from March to June, and EOS ranges from mid-November to late-December. For inner oasis area, the LSI (Large seasonal integral) has a larger value concentrated on the range of 6.08-9.20. However, a lower range of LSI (3.64-6.08) was observed in the oasis-desert transition belt. The accuracy of estimation model based on phenological parameters is relatively low (RMSE=13.29,R2=0.12). The accuracy of model based on phenological parameters and land surface parameters is best (RMSE=9.02, R2=0.72), which is better than that of model based on land surface parameters (RMSE=12.66, R2=0.22). In the prediction model, TVDI (Temperature vegetation drought index), LSI, Salinity index (SIT and SI), MSAVI (Modified soil adjusted vegetation index), and surface reflectance have high relative importance, indicating that soil water content, vegetation growing situation, vegetation biomass and visible light reflectance are important indicators for monitoring soil salinization. Weigan-Kuqa River Delta Oasis is dominated by slightly saline and non-saline soils with the mean annual soil salt content of 7.08 g·kg-1a-1. The agriculture area inside the oasis is mostly covered by non-saline soil. The moderately salinization soil are mostly located in the east and south parts of the oasis. The soil salinization showed no significant decreasing trend, with a range of 0.00-0.764 g·kg-1a-1. Little area showed an increasing trend, and mostly located in the middle part of the oasis and near the southern part of Tarim river, with a range of 0.00-0.742 g·kg-1a-1. In 2007, the degree of salinization was the heaviest, and the average soil salt content was 12.68 g·kg-1. In 2011, the degree of salinization was the lightest, and the average soil salt content was 4.61 g·kg-1.[Conclusion] Regression tree model can establish a complete knowledge of soil-environment relationship, and effectively extract regional soil salinization information. The introduction of vegetation phenological parameters can significantly improve the accuracy of soil salinization prediction. The soil salinization in Weigan-Kuqa River Delta Oasis showed a mainly decreasing trend, and a small part of the area showed an increasing trend, and the salinization treatment effect was remarkable. There is a tight correspondence between different phenological characteristics and local soil salinity. In some parts of the study area, soil salinity is increasing because of human factors. Therefore, it is necessary to take effective measures for soil salinization control and ecological environmental protection in these specific areas.

Key words: soil salinization, vegetation phenology, land surface parameters, Cubist regression model, MODIS

中图分类号: