Greg R. Guerin

TL;DR: A mathematical model based on community mechanics that incorporates species-sorting with shifting phenotypes and species pools, and predicts that responses to a shifting community constraint can be more diverse than deterministic species re-sorted.

TL;DR: It is shown that aridity, rainfall, temperature, seasonality, soil nitrogen and pH are significant correlates to the ordination of superclusters and clusters, and CCA ordination clearly demarcated all groupings.

TL;DR: In this paper, the authors present R functions to map PD or PE weighted by area of occupancy (AOO) or frequency to estimate the spatial range of branch-length (i.e. phylogenetic range-rarity), rather than extent of occurrence (EOO), which is known to produce different range estimates.

TL;DR: The AusTraits database as mentioned in this paper is a collection of measurements of plant traits for taxa in the Australian flora, including physiological measures of performance (e.g. photosynthetic gas exchange, water-use efficiency) to morphological parameters (ee. g., leaf area, seed mass, plant height) which link to aspects of ecological variation.

TL;DR: A decision tree based on costs and benefits is presented assessing monitoring options based on data presented, a function of available resources, the need for precise cover estimates versus adequate species detection, replication and practical considerations such as access and terrain.