首页 | 本学科首页   官方微博 | 高级检索  
   检索      

三江平原农田土壤跳虫多尺度空间自相关性
引用本文:高梅香,孙新,吴东辉,张雪萍.三江平原农田土壤跳虫多尺度空间自相关性[J].生态学报,2014,34(17):4980-4990.
作者姓名:高梅香  孙新  吴东辉  张雪萍
作者单位:黑龙江省高校地理环境与遥感监测重点实验室, 哈尔滨师范大学, 哈尔滨 150025;中国科学院东北地理与农业生态研究所, 长春市 130012;中国科学院东北地理与农业生态研究所, 长春市 130012;中国科学院东北地理与农业生态研究所, 长春市 130012;黑龙江省高校地理环境与遥感监测重点实验室, 哈尔滨师范大学, 哈尔滨 150025
基金项目:国家自然科学基金(41101049,40601047,41201245);中国博士后科学基金面上项目(2012M511361);哈尔滨师范大学青年学术骨干资助计划项目(KGB201204)
摘    要:土壤动物多尺度空间自相关性特征是土壤动物空间异质性和空间共存格局研究的重要基础。以土壤跳虫为研究对象,以中国科学院三江平原沼泽湿地生态实验站为研究区,于2011年8月和10月,选取具30 a以上耕作历史的旱地为实验样地,以5 m为步长设置一个50 m×50 m的实验样地,采用地统计中的全局Moran's I指数和局部Moran's I指数相结合的方法,研究土壤跳虫多尺度空间自相关性特征。全局空间自相关结果表明,土壤跳虫群落总密度和多数跳虫种类存在显著的多尺度空间自相关特征,多数为显著的正的空间自相关性,形成明显的空间集群。局部空间自相关结果表明,土壤跳虫群落总密度和所有跳虫种类均存在显著的局部空间自相关性,在局部地区形成"高—高"和/或"低—低"的空间集群,并和"高—低"和/或"低—高"的空间孤立区相伴发生,即形成"斑块"和"孔隙"相间分布的水平镶嵌格局;这种镶嵌格局具一定的时间动态特征,从夏季到秋季斑块大小和空间分布范围略有变化。研究表明,土壤跳虫具有明显的多尺度空间自相关性;空间集群是土壤跳虫的常见空间分布格局,在样地内形成"斑块"和"孔隙"相间分布的水平镶嵌格局,这种格局具年内时间变异性。

关 键 词:空间自相关性  多尺度  土壤跳虫  三江平原  农田
收稿时间:1/6/2013 12:00:00 AM
修稿时间:2014/6/28 0:00:00

Spatial autocorrelation at multi-scale of soil collembolan community in farmland of the Sanjiang Plain, Northeast China
GAO Meixiang,SUN Xin,WU Donghui and ZHANG Xueping.Spatial autocorrelation at multi-scale of soil collembolan community in farmland of the Sanjiang Plain, Northeast China[J].Acta Ecologica Sinica,2014,34(17):4980-4990.
Authors:GAO Meixiang  SUN Xin  WU Donghui and ZHANG Xueping
Institution:Key Laboratory of Remote Sensing Monitoring of Geographic Environment, College of Heilongjiang Province, Harbin Normal University, Harbin 150025, China;Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China;Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China;Northeast Institute of Geography and Agroecology, Chinese Academy of Sciences, Changchun 130012, China;Key Laboratory of Remote Sensing Monitoring of Geographic Environment, College of Heilongjiang Province, Harbin Normal University, Harbin 150025, China
Abstract:Multi-scale autocorrelation is one of the fundamental factors in soil animal spatial heterogeneity and spatial co-occurrence patterns. In August and October 2011, collembolan communities were sampled in farmland of the Sanjiang Plain with a history of more than 30 years of cultivation. The sampling field was divided into 100 subsamples through intensive sampling at the nodes of a 10 × 10 regular grid with 5 m inter-sample distances. Global Moran's I and Local Moran's I indices were used to test the multi-scale autocorrelation for abundance of the collembolan community and for abundance of each species. Both indices were calculated with the Open Geoda software platform.We collected 10603.62 individuals/m2, belonging to 17 collembolan species, in August, and 38698 individuals/m2, belonging to 13 collembolan species, in October. In terms of one-way ANOVA analysis, species richness of the collembolan community in August was non-significantly different from that in October, and the abundance of the collembolan community in August was significantly lower than that in October (P < 0.001). According to the results of Global Moran's I indices, abundance of collembolan community showed significant positive autocorrelation at 5-50 m in August, whereas the abundance of the collembolan community only showed significant positive autocorrelation at 5 m in October. At the same time, most of the collembolan species showed significant autocorrelation at the multi-scale. Oligaphorura ursi showed significantly positive autocorrelation at 5-50 m in August and at 5, 35 and 40 m in October. Protaphorura sp.1, Allonychiurus songi, Sminthurinus sp.1, Tullbergia sp.1, Desoria sp.1, Entomobrya sp.3, Hypogastrura sp.1 and Lepidocyrtus felipei showed significant spatial autocorrelation in both August and October, and most of the significant autocorrelations were positive at the multi-scale. Folsomia sp.2 and Folsomia sp.1 only showed obvious spatial autocorrelation at a few scales in August. The other six collembolan species did not show significant spatial autocorrelation in either August or October. According to the results of Local Moran's I indices, abundance of the collembolan community and of all collembolan species showed significant local autocorrelation (P < 0.05). Locally, abundance of the collembolan community formed "high-high" and "low-low" spatial aggregations in August. These "high-high" and "low-low" spatial aggregations persisted in the experiment plot in October, but the size and distribution of the spatial aggregations were different from those in August. The abundance of the collembolan community also formed one "low-high" spatial outlier in August, whereas no significant "low-high" or "high-low" spatial outliers were detected in October. All of the collembolan species formed "high-high" and/or "low-low" spatial aggregations, accompanied with "high-low" and/or "low-high" spatial outliers, which formed a horizontal mosaic of "patches" and "gaps". From summer to autumn (August to October), the horizontal mosaic structure showed temporal variation, with the size and spatial distribution of these patches being different between the two seasons. This study revealed that the abundance of the collembolan community and most of the collembolan species showed obviously multi-scale spatial autocorrelations. Spatial aggregation is a general rule for the collembolan community in farmland of the Sanjiang Plain, forming a horizontal mosaic of "patches" and "gaps". This mosaic structure showed temporal variation from summer to autumn.
Keywords:spatial autocorrelation  multi-scale  soil collembolan community  the Sanjiang Plain  farmland
本文献已被 CNKI 等数据库收录!
点击此处可从《生态学报》浏览原始摘要信息
点击此处可从《生态学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号