Sentence examples for soil metrics from inspiring English sources

Overall there was little to no phylogeny-wide evolutionary signal in soil nutrient/element associations, however the results from individual nodes within the phylogeny show that medians for a number of soil metrics had significant signal, and these instances may be important for understanding plant distributions at the local-scale in highly diverse tropical forest.

The resulting metrics were soil temperature regime, soil moisture regime, slope, texture, soil horizon, cation exchange capacity, soil pH, and organic matter content.

We tested hypotheses about logging-induced changes on environmental condition (canopy cover, leaf litter and soil texture), community metrics (e.g. dung beetle species richness and biomass) and beetle-mediated faecal-detritus processing; and on the importance of the environment for beetle communities and functional processes.

As indicated by the data, mutual variations in the soil and vegetation metrics allow differentiation between the pattern evolution stages such as perforation, dissection, fragmentation, shrinkage and attrition of one surface type due to the spread, expansion and aggregation of a complementary surface type.

Leading vs. lagging performance, inferred from the curvature of the association obtained from the exponent of fitted power functions, suggest that only DCI was a leading metric of the loss of soil elevation variation; most metrics were indeterminate, though some were clearly lagging.

Namely, plant species' presence and location in the landscape can be explained using metrics of soil water because plant species are restricted to a species-specific range of soil water conditions, i.e. their hydrological niche.

Coupled with landscape metrics and soil quality assessment approach, this paper also explores the impacts on fragmentation of cropland landscape and soil resource in detail.

For each study area, we also measured altitude, climate, soil type, fragment patch metrics, cattle presence, and tree component structure.

Comparison of these and other metrics of soil development with SOC properties reveal several relationships that may be diagnostic of the long-term coupling of soil development and C cycling.

Soil distribution and topographic metrics were correlated with the observed soil moisture patterns to reveal their relationships with soil type, depth to bedrock, topographic wetness index, slope, precipitation, and stream discharge.

While there are many metrics of soil C and N cycling, here we tested our hypothesis using extracellular enzyme activities (EEA) that reflect microbial resource allocation toward C and N acquisition.