地形对新疆昌吉州草地净初级生产力分布格局的影响

Abstract

PDF HTML阅读 XML下载 导出引用 引用提醒 地形对新疆昌吉州草地净初级生产力分布格局的影响 DOI: 10.5846/stxb201708251539 作者: 作者单位: 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,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,新疆维吾尔自治区草原总站,新疆维吾尔自治区草原总站 作者简介: 通讯作者: 中图分类号: 基金项目: 2016年自治区研究生教育改革创新计划（XJGRI2016015）；新疆维吾尔自治区青年科技创新人才培养工程（2016）；新疆维吾尔自治区草原总站横向课题（62207） Effects of topography on the distribution pattern of net primary productivity of grassland in Changji Prefecture, Xinjiang Author: Affiliation: Resource and Environment Science college of XinJiang University,Resource and Environment Science college of XinJiang University,,,, Fund Project: 2016 XinJiang uygur autonomous region postgraduate education reform innovation program“The construction and quantitative evaluation of grassland ecosystem health assessment system in Changji prefecture of Xinjiang based on spatial information technology”(XJGRI2016015);Xinjiang uygur autonomous region youth science and technology innovation talent training project(2016);The lateral project of the grassland general station of xinjiang uygur autonomous region“The XinJiang natural grassland health evaluation system and evaluation model research based on the remote sensing and GIS technology 2015-2016”(62207) 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:新疆草地资源丰富且地形多变，地形作为影响植被生产力最主要的环境因素之一却未被充分考虑。以Landsat和DEM为数据源，以新疆昌吉州草地为研究对象，应用CASA模型计算得到连年的净初级生产力，采用ArcGIS的空间分析方法对新疆昌吉州草地2000-2016年的净初级生产力分布进行了分析。研究结果表明，地形对生产力的分布有着显著影响，在海拔、坡度和坡向3个地形因子对整体趋势变化的影响分析中发现，坡度引起的NPP变化最大，坡向次之，海拔较小。在整体特征上，海拔每升高30 m，生产力增加4.11 g/m2；坡度每增加1°生产力增加-0.225 g/m2；N坡向生产力水平最高（23.23 g/m2），SW坡向最低（3.54 g/m2）。不同生产力年份生产力在地形因子作用下变化趋势相同但变化幅度不同，较高生产力年份中3个地形因子的变化幅度都是最大的。 Abstract:Xinjiang grassland resources are rich and varied, but as far as current research is concerned, topography has not been fully considered as one of the most important environmental factors affecting vegetation productivity. This study takes Landsat and DEM as data sources, and the object of study is a grassland in Changji Prefecture of the Xinjiang autonomous region. The annual net primary productivity is calculated with the CASA model. The ArcGIS spatial analysis method is used to analyze the distribution of the net primary productivity in Changji Prefecture for the years 2000-2016. The results show that topography plays an important role in the distribution of productivity. The analysis of the influence of elevation, slope, and aspect show that slope is the largest impact factor, followed by aspect, and elevation is the smallest. In the overall characteristics, when the elevation increases by 30 m, the productivity increases by 4.11 g/m2. In the same way, when the slope increases by 1 degree, the productivity increases by -0.225 g/m2. The productivity of the north aspect is the highest (23.23 g/m2), and that of the southeast aspect is the lowest (3.54 g/m2). In years with different productivities, the trend of impacts is the same, but the ranges of variation are different. The three topographic factors have the largest range of change in high-productivity years. 参考文献 相似文献 引证文献