Spatial distribution and ecological assessment of nickel in sediments of a typical small plateau lake from Yunnan Province, China

Li, Bo; Wang, Hang; Qin, Yu; Feng, Wei; Zhang, Qi

doi:10.1007/s11356-020-11526-0

Cited by 4 publications

(1 citation statement)

References 51 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The abstract mathematical curve was used to eliminate the influence of random variables on the spatial distribution of samples and improve the simulation accuracy (En 2017;Yang et al 2020). In the trend surface analysis, the trend surface was determined by the regression analysis to minimize the sum of the squared residuals, which was affected by total spatial pattern or large-scale factors (En 2017;Li et al 2020;Yang et al 2020). Each vertical bar in the trend analysis graph represented the value and position, and the points were projected onto an east-west and a north-south orthogonal plane.…”

Section: Spatial Trend Analysismentioning

confidence: 99%

Pattern of plant communities’ influence to grasshopper abundance distribution in heterogeneous landscapes at the upper reaches of Heihe River, Qilian Mountains, China

Zhao

et al. 2021

Environ Sci Pollut Res

View full text Add to dashboard Cite

Understanding the impact of the heterogeneity of the ecological environment on biodiversity is a key issue in ecology. Topographical heterogeneity was potentially important in grassland systems to create or change habitats for grasshopper settlement and foraging. Yet, there was little knowledge of how grasshopper communities respond to plant communities along the altitude gradient. We investigated the role of plant communities on grasshopper diversity with geostatistical methods to test the effects of heterogeneity in the natural grassland on the upper reaches of the Heihe River, Qilian Mountains. To aim the goal of the study, nonreturn experiments were used to collect the grasshoppers' diversity and populations, and the plant's community was sampled at the same location. The results showed that the semivariograms of grasshopper abundance and plant communities were both nonlinear models, while the grasshopper abundance typically produces heterogeneity with a larger range and nuggets than plant communities (except the plant coverage range in the model, range <1.5 m). The two communities presented the spatial distribution pattern of aggregated distribution, and the spatial trend is more intense in the northeast-southwest direction than in the northwest-southeast. The grasshopper species developed a good selection on microenvironment to habitat and the distribution consistent with plants, forming the horizontal distribution with a flaky and plaque distribution pattern. The relationship between grasshoppers and plants was highly dependent on the altitude, and grasshopper abundance has a positive correlation with plant richness (F = 0.68) and plant coverage (F = 0.32) and has a negative correlation with plant height (F = 0.13). In summary, the spatial distribution and correlation characteristics of plant communities and grasshoppers formed a plaque heterogeneity structure under the altitude gradients.

show abstract

Section: Spatial Trend Analysismentioning

confidence: 99%