Our newest evaluate paper is by Christian Damgaard and Kathryn Irvine with reference to analyzing plant cowl knowledge. Learn extra about their paper beneath.
Plant cowl is a measure of the two-dimensional projection of plant species onto the floor and is probably the most generally used measure of plant abundance. There are quite a few historic and present plant ecological investigations and monitoring applications the place plant cowl has been measured by visible estimation in small plots or utilizing the pin-point technique.
The collected plant cowl knowledge has typically been analyzed with commonplace statistical strategies with out taking the sometimes noticed spatial aggregation of plant species under consideration. This apply has been continued inside the plant ecological neighborhood though a extra suited statistical technique utilizing the beta distribution has been prompt within the literature for greater than sixty years.
In our essay evaluate we advocate using the beta distribution for analyzing plant cowl knowledge and counsel related R packages for analyzing various kinds of plant cowl knowledge.
Amongst different options it’s demonstrated how:
one can greatest mannequin visually estimated ordinal plant cowl knowledge with out utilizing the midpoint values of the ordinal intervals.
it turns into doable to review spatial aggregation as an ecological phenomenon by analyzing plot primarily based plant cowl knowledge by estimating a parameter that represents the diploma of spatial aggregation.
completely different strategies of measuring plant cowl could also be analyzed in a standard beta distribution framework as a way to synthesize info throughout research or time-series.
Christian Damgaard (Aarhus College, Denmark) and Kathryn Irvine (U.S. Geological Survey, USA)
Learn the total paper on the journal web site: Utilizing the beta distribution to analyse plant cowl knowledge.
June 6, 2019 in Writer publish.