Translating bumblebee dialect…
The purpose of this study is to test several macroecological statistical theories in the sub- alpine environment. Statistical theories are based on purely statistical assumptions, and these predictions were tested against measured values for macroecological metrics including the species-abundance distribution, the species-area relationship, and the collector’s curve. In order to test the theories, it was necessary to calculate these macroecological metrics from raw plant data. The plant data consisted of mostly plant census, along with slope, aspect, canopy, soil temperature, and soil moisture. From the plant census data, the graphs of collector’s curve, species-area relationship and species- abundance distribution were analyzed using these measured values and the predicted values from the maximum entropy theory. With almost exact certainty, the maximum entropy theory predictions held true for what was observed in nature.
Knowledge graph centered on On the spatial distribution and abundance of herba with 12 nodes and 30 connections. Top connected: herbaceous plants, A. tridentata, species diversity, quadrat sampling method, Species-area relationship.
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