Extensive clonal spread and extreme longevity in saw palmetto, a foundation clonal plant

The lack of effective tools has hampered our ability to assess the size, growth and ages of clonal plants. With Serenoa repens (saw palmetto) as a model, we introduce a novel analytical frame work that integrates DNA fingerprinting and mathematical modelling to simulate growth and estimate ages of clonal plants. We also demonstrate the application of such life-history information of clonal plants to provide insight into management plans. Serenoa is an ecologically important foundation species in many Southeastern United States ecosystems; yet, many land managers consider Serenoa a troublesome invasive plant. Accordingly, management plans have been developed to reduce or eliminate Serenoa with little understanding of its life history. Using Amplified Fragment Length Polymorphisms, we genotyped 263 Serenoa and 134 Sabal etonia (a sympatric non-clonal palmetto) samples collected from a 20 x 20 m study plot in Florida scrub. Sabal samples were used to assign small field-unidentifiable palmettos to Serenoa or Sabal and also as a negative control for clone detection. We then mathematically modelled clonal networks to estimate genet ages. Our results suggest that Serenoa predominantly propagate via vegetative sprouts and 10000-year-old genets maybe common, while showing no evidence of clone formation by Sabal. The results of this and our previous studies suggest that: (i) Serenoa has been part of scrub associations for thousands of years, (ii) Serenoa invasions are unlikely and (ii) once Serenoa is eliminated from local communities, its restoration will be difficult. Reevaluation of the current management tools and plans is an urgent task.

The Psychosocial Quality of Nursing Home Work

Trained observers used components of the functional job analysis technique to categorize 3,371 tasks performed by 214 nursing assistants in four nursing homes on five occasions over 12 months. The extent to which each task was oriented toward residents versus data or things was coded along with the "level of complexity" of each of these orientations. A psychosocial index was created by multiplying orientation by complexity. Three questions structured the analyses: (a) To what extent do nursing assistants' tasks involve interacting with residents, as opposed to focusing on data or manipulating things? (b) How complex are these tasks? (c) What are the implications of the task analysis data for assessing the quality of psychosocial care? Findings reveal that even among the direct care tasks (69% of total), the orientation was not predominantly toward the resident. Functional complexity of the tasks observed was consistently low. Those task types with the greatest psychosocial quality were those performed least frequently and vice versa. Implications of these results for restructuring nursing assistants' work are discussed.