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Meixiang Gao - One of the best experts on this subject based on the ideXlab platform.

  • Spatial distribution patterns of Soil Mite communities and their relationships with edaphic factors in a 30-year tillage cornfield in northeast China.
    PloS one, 2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    Spatial distribution is an important topic in community ecology and a key to understanding the structure and dynamics of populations and communities. However, the available information related to the spatial patterns of Soil Mite communities in long-term tillage agroecosystems remains insufficient. In this study, we examined the spatial patterns of Soil Mite communities to explain the spatial relationships between Soil Mite communities and Soil parameters. Soil fauna were sampled three times (August, September and October 2015) at 121 locations arranged regularly within a 400 m × 400 m monitoring plot. Additionally, we estimated the physical and chemical parameters of the same sampling locations. The distribution patterns of the Soil Mite community and the edaphic parameters were analyzed using a range of geostatistical tools. Moran's I coefficient showed that, during each sampling period, the total abundance of the Soil Mite communities and the abundance of the dominant Mite populations were spatially autocorrelated. The Soil Mite communities demonstrated clear patchy distribution patterns within the study plot. These patterns were sampling period-specific. Cross-semivariograms showed both negative and positive cross-correlations between Soil Mite communities and environmental factors. Mantel tests showed a significant and positive relationship between Soil Mite community and Soil organic matter and Soil pH only in August. This study demonstrated that in the cornfield, the Soil Mite distribution exhibited strong or moderate spatial dependence, and the Mites formed patches with sizes less than one hundred meters. In addition, in this long-term tillage agroecosystem, Soil factors had less influence on the observed pattern of Soil Mite communities. Further experiments that take into account human activity and spatial factors should be performed to study the factors that drive the spatial distribution of Soil microarthropods.

  • The spatial relationships between the dominant Soil Mite populations and Soil parameters in August, September and October.
    2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    The spatial relationships between the dominant Soil Mite populations and Soil parameters in August, September and October.

  • The Moran’s I coefficient for the total abundance of the Soil Mite community in August, September and October.
    2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    The Moran’s I coefficient for the total abundance of the Soil Mite community in August, September and October.

  • Theoretical models and corresponding parameters for the semivariograms of dominant Soil Mite populations in August, September and October.
    2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    Theoretical models and corresponding parameters for the semivariograms of dominant Soil Mite populations in August, September and October.

  • The underlying processes of a Soil Mite metacommunity on a small scale.
    PloS one, 2017
    Co-Authors: Chengxu Dong, Meixiang Gao, Lin Lin, Chuanwei Guo, Limin Zhang
    Abstract:

    Metacommunity theory provides an understanding of how ecological processes regulate local community assemblies. However, few field studies have evaluated the underlying mechanisms of a metacommunity on a small scale through revealing the relative roles of spatial and environmental filtering in structuring local community composition. Based on a spatially explicit sampling design in 2012 and 2013, this study aims to evaluate the underlying processes of a Soil Mite metacommunity on a small spatial scale (50 m) in a temperate deciduous forest located at the Maoershan Ecosystem Research Station, Northeast China. Moran's eigenvector maps (MEMs) were used to model independent spatial variables. The relative importance of spatial (including trend variables, i.e., geographical coordinates, and broad- and fine-scale spatial variables) and environmental factors in driving the Soil Mite metacommunity was determined by variation partitioning. Mantel and partial Mantel tests and a redundancy analysis (RDA) were also used to identify the relative contributions of spatial and environmental variables. The results of variation partitioning suggested that the relatively large and significant variance was a result of spatial variables (including broad- and fine-scale spatial variables and trend), indicating the importance of dispersal limitation and autocorrelation processes. The significant contribution of environmental variables was detected in 2012 based on a partial Mantel test, and Soil moisture and Soil organic matter were especially important for the Soil Mite metacommunity composition in both years. The study suggested that the Soil Mite metacommunity was primarily regulated by dispersal limitation due to broad-scale and neutral biotic processes at a fine-scale and that environmental filtering might be of subordinate importance. In conclusion, a combination of metacommunity perspectives between neutral and species sorting theories was suggested to be important in the observed structure of the Soil Mite metacommunity at the studied small scale.

Dong Liu - One of the best experts on this subject based on the ideXlab platform.

  • Spatial distribution patterns of Soil Mite communities and their relationships with edaphic factors in a 30-year tillage cornfield in northeast China.
    PloS one, 2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    Spatial distribution is an important topic in community ecology and a key to understanding the structure and dynamics of populations and communities. However, the available information related to the spatial patterns of Soil Mite communities in long-term tillage agroecosystems remains insufficient. In this study, we examined the spatial patterns of Soil Mite communities to explain the spatial relationships between Soil Mite communities and Soil parameters. Soil fauna were sampled three times (August, September and October 2015) at 121 locations arranged regularly within a 400 m × 400 m monitoring plot. Additionally, we estimated the physical and chemical parameters of the same sampling locations. The distribution patterns of the Soil Mite community and the edaphic parameters were analyzed using a range of geostatistical tools. Moran's I coefficient showed that, during each sampling period, the total abundance of the Soil Mite communities and the abundance of the dominant Mite populations were spatially autocorrelated. The Soil Mite communities demonstrated clear patchy distribution patterns within the study plot. These patterns were sampling period-specific. Cross-semivariograms showed both negative and positive cross-correlations between Soil Mite communities and environmental factors. Mantel tests showed a significant and positive relationship between Soil Mite community and Soil organic matter and Soil pH only in August. This study demonstrated that in the cornfield, the Soil Mite distribution exhibited strong or moderate spatial dependence, and the Mites formed patches with sizes less than one hundred meters. In addition, in this long-term tillage agroecosystem, Soil factors had less influence on the observed pattern of Soil Mite communities. Further experiments that take into account human activity and spatial factors should be performed to study the factors that drive the spatial distribution of Soil microarthropods.

  • The spatial relationships between the dominant Soil Mite populations and Soil parameters in August, September and October.
    2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    The spatial relationships between the dominant Soil Mite populations and Soil parameters in August, September and October.

  • The Moran’s I coefficient for the total abundance of the Soil Mite community in August, September and October.
    2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    The Moran’s I coefficient for the total abundance of the Soil Mite community in August, September and October.

  • Theoretical models and corresponding parameters for the semivariograms of dominant Soil Mite populations in August, September and October.
    2018
    Co-Authors: Jie Liu, Meixiang Gao, Dong Liu, Jinwen Liu, Yuxi Guo, Xinyu Zhu
    Abstract:

    Theoretical models and corresponding parameters for the semivariograms of dominant Soil Mite populations in August, September and October.

  • The small-scale structure of a Soil Mite metacommunity
    European Journal of Soil Biology, 2016
    Co-Authors: Meixiang Gao, Dong Liu, Lin Lin
    Abstract:

    Abstract The metacommunity theory has advanced our understanding of how local communities are structured at multiple scales. However, few studies have addressed the distribution patterns of the metacommunity at a small scale, particularly for those organisms living in belowground ecosystems. Using a combination of the elements of metacommunity structure (EMS) and the null model analyses, the small-scale (50 m) spatial pattern of a Soil Mite metacommunity was identified in a temperate forest in 2012 and 2013. This study evaluated whether species replace each other across consistent environmental gradients and whether a significant competitive structure exists in the entire community. According to the results of EMS analysis, the Soil Mite metacommunity showed a Clementsian structure (a grouped distribution of species along environmental gradients), which was significantly correlated with moisture in 2012 and associated with moisture and food resources in 2013. Moreover, the patterns of the Soil Mite metacommunity were similar in both years. Based on the results of the null model analysis, a non-random co-occurred pattern with more significantly aggregated species pairs and the Pianka's overlap index, which was significantly larger than the randomness model, were detected in each year, indicating a non-competitive community. In conclusion, the study indicated that the environmental filtering with moisture and food resources was an important driver in shaping the Soil Mite metacommunity into a small-scale Clementsian structure, while interspecific competition was likely not influential.

Frank G Zalom - One of the best experts on this subject based on the ideXlab platform.

  • effects of agricultural management on nematode Mite assemblages Soil food web indices as predictors of Mite community composition
    Applied Soil Ecology, 2009
    Co-Authors: Sara Sanchezmoreno, Nicole L Nicola, H Ferris, Frank G Zalom
    Abstract:

    Abstract Biological indicators based on abundances of Soil organisms are powerful tools for inferring functional and diversity changes in Soils affected by agricultural perturbations. Field plots, combining organic and conventional practices with no tillage, conservation tillage and standard tillage maintained different nematode assemblages and Soil food webs. Soil food web indices based on nematode assemblages were reliable predictors of the trophic composition of functional characteristics of Soil Mite assemblages. Bacterial-feeding and predatory nematodes, together with predatory Mites, were abundant in the organic-no till treatments and were associated with high values of the Enrichment and the Structure Index based on nematode assemblages. Conventional-Standard tillage treatments had high abundances of fungal- and plant-feeding nematodes and algivorous Mites, associated with high values of the Basal and Channel Index. This study validates the hypothesis that nematode-based Soil food web indices are useful indicators of other Soil organisms such as Mites, with similar functional roles and environmental sensitivities.

  • Effects of agricultural management on nematode–Mite assemblages: Soil food web indices as predictors of Mite community composition
    Applied Soil Ecology, 2008
    Co-Authors: Sara Sánchez-moreno, Nicole L Nicola, H Ferris, Frank G Zalom
    Abstract:

    Abstract Biological indicators based on abundances of Soil organisms are powerful tools for inferring functional and diversity changes in Soils affected by agricultural perturbations. Field plots, combining organic and conventional practices with no tillage, conservation tillage and standard tillage maintained different nematode assemblages and Soil food webs. Soil food web indices based on nematode assemblages were reliable predictors of the trophic composition of functional characteristics of Soil Mite assemblages. Bacterial-feeding and predatory nematodes, together with predatory Mites, were abundant in the organic-no till treatments and were associated with high values of the Enrichment and the Structure Index based on nematode assemblages. Conventional-Standard tillage treatments had high abundances of fungal- and plant-feeding nematodes and algivorous Mites, associated with high values of the Basal and Channel Index. This study validates the hypothesis that nematode-based Soil food web indices are useful indicators of other Soil organisms such as Mites, with similar functional roles and environmental sensitivities.

Limin Zhang - One of the best experts on this subject based on the ideXlab platform.

  • The underlying processes of a Soil Mite metacommunity on a small scale.
    PloS one, 2017
    Co-Authors: Chengxu Dong, Meixiang Gao, Lin Lin, Chuanwei Guo, Limin Zhang
    Abstract:

    Metacommunity theory provides an understanding of how ecological processes regulate local community assemblies. However, few field studies have evaluated the underlying mechanisms of a metacommunity on a small scale through revealing the relative roles of spatial and environmental filtering in structuring local community composition. Based on a spatially explicit sampling design in 2012 and 2013, this study aims to evaluate the underlying processes of a Soil Mite metacommunity on a small spatial scale (50 m) in a temperate deciduous forest located at the Maoershan Ecosystem Research Station, Northeast China. Moran's eigenvector maps (MEMs) were used to model independent spatial variables. The relative importance of spatial (including trend variables, i.e., geographical coordinates, and broad- and fine-scale spatial variables) and environmental factors in driving the Soil Mite metacommunity was determined by variation partitioning. Mantel and partial Mantel tests and a redundancy analysis (RDA) were also used to identify the relative contributions of spatial and environmental variables. The results of variation partitioning suggested that the relatively large and significant variance was a result of spatial variables (including broad- and fine-scale spatial variables and trend), indicating the importance of dispersal limitation and autocorrelation processes. The significant contribution of environmental variables was detected in 2012 based on a partial Mantel test, and Soil moisture and Soil organic matter were especially important for the Soil Mite metacommunity composition in both years. The study suggested that the Soil Mite metacommunity was primarily regulated by dispersal limitation due to broad-scale and neutral biotic processes at a fine-scale and that environmental filtering might be of subordinate importance. In conclusion, a combination of metacommunity perspectives between neutral and species sorting theories was suggested to be important in the observed structure of the Soil Mite metacommunity at the studied small scale.

Xinyu Zhu - One of the best experts on this subject based on the ideXlab platform.