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杜梦洁,郑江华,任璇,蔡亚荣,穆晨,闫凯.地形对新疆昌吉州草地净初级生产力分布格局的影响.生态学报,2018,(13).http://dx.doi.org/10.5846/stxb201708251539  
地形对新疆昌吉州草地净初级生产力分布格局的影响
Effects of topography on the distribution pattern of net primary productivity of grassland in Changji prefecture, Xinjiang
投稿时间:2017-08-25  修订日期:2018-02-05
DOI: 10.5846/stxb201708251539
关键词净初级生产力,CASA模型,数值化高程
Key WordsNet  primary productivity, CASA  model, DEM
基金项目2016年自治区研究生教育改革创新计划“基于空间信息技术的新疆草原生态系统健康评价体系构建及定量评估——以新疆昌吉自治州草原为例”(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“基于遥感与GIS技术的新疆天然草原健康评价体系与估产建模研究2015-2016”(62207)
作者单位E-mail
杜梦洁 新疆大学资源与环境科学学院 1345407231@qq.com 
郑江华 新疆大学资源与环境科学学院 zheng_jianghua@126.com 
任璇 新疆大学资源与环境科学学院  
蔡亚荣 新疆大学资源与环境科学学院  
穆晨 新疆维吾尔自治区草原总站  
闫凯 新疆维吾尔自治区草原总站  
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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。因此本文以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米,生产力增加4.11g/m2;坡度每增加1°生产力增加-0.225g/m2;N坡向生产力水平最高(23.23g/m2),SW坡向最低(3.54g/m2)。的不同生产力年份的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, as far as current research is concerned, topography as one of the most important environment factors affecting vegetation productivity has not been fully considered. This paper takes Landsat and DEM as the data sources,the object of study is grassland in Changji prefecture of the Xinjiang autonomous region. The annual net primary productivity is calculated by the CASA model.Using the ArcGIS spatial analysis method to analyze the distribution of the net primary productivity for 2000-2016 years in Changji prefecture. The results show that the topography plays an important role in the distribution of productivity. The analysis of the influence of elevation, slope and aspect show that the slope is the biggest impact factors, followed by aspect and the elevation is the smallest. In the overall characteristics, the elevation increase 30 meters, at the same time, the productivity increase 4.11g/m2. In the same way, the slope increase 1 degree, the productivity increase -0.225g/m2. The productivity of the north aspect is the highest(23.23g/m2), the southeast aspect is the lowest (3.54g/m2). In different productivity years, the trend of impact is the same, but the range of variation is different. In the high productivity years, the three topographic factors have the largest range of change.
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