节点文献
阿勒泰地区草地表层土壤容重的空间格局分析
Spatial pattern analysis of the soil bulk density of grasslands in the Aletai region,China
【摘要】 本研究旨在探讨新疆阿勒泰地区表层土壤容重与草地退化之间的关系。以实测数据为基础,结合气象和地面等多源数据,利用地理信息系统和遥感平台,加权叠加插值出草地表层土壤容重的空间分布格局。结果表明,1)土壤容重与NDVI海拔、年均气温、年均降水量、≥10℃年积温和湿润度6个生态因子极显著相关(P<0.01),其中与≥10℃年积温呈正相关;通过多因子空间插值模型的构建和结果检验,获得研究区草地表层土壤容重的空间分布格局,平均相对预测精度为86.06%。2)研究区草地表层土壤容重从中部和南部向两侧递减,在西南-东北方向上呈低-高-低的分布趋势,平均值为1.465 0g·cm-3。3)从草地类型看,温性荒漠土壤容重最大,为1.712 3g·cm-3,高寒草甸最小,为0.542 7g·cm-3;按土壤类型分,灰棕漠土容重最大,为1.611 9g·cm-3,黑毡土容重最小,为0.685 1g·cm-3。
【Abstract】 The study was conducted to explore the relationship between surface soil bulk density and grassland degradation in the Aletai region of Xinjiang.Along with the measured data,meteorological,terrestrial,and other multi-source data,a spatial distribution pattern of soil bulk density of grasslands was obtained from weighted superposition interpolates using geographic information systems and remote sensing platforms in this area.The results showed that:1)Soil bulk density was significantly associated with altitude,average annual temperature,annual precipitation,≥10 ℃ annual accumulated temperature humidity index,and NDVI(P<0.01).After construction of a multi-factor spatial interpolation model and test,a spatial distribution pattern was obtained through inversion,and the average relative prediction accuracy reached 86.06%.2)The average surface soil bulk density of grasslands in the Aletai region was 1.465 0 g·cm-3.The overall trend was decreasing from the center and the south to both sides,with a low-high-low distribution trend in the southwest-northeast direction.3)According to the type of grassland,the highest was in the temperate desert(1.712 3 g·cm-3),and the lowest was in the alpine meadow(0.542 7 g·cm-3).The gray-brown desert had a maximum bulk density of 1.611 9 g·cm-3,and the dark felty had a minimal bulk density of 0.685 1 g·cm-3 that was divided by soil type.
【Key words】 soil bulk density; regression analysis; spatial pattern; grassland degradation; Aletai region; interpolation; multi-source data;
- 【文献出处】 草业科学 ,Pratacultural Science , 编辑部邮箱 ,2018年12期
- 【分类号】S812.2
- 【被引频次】5
- 【下载频次】332