Simonsen Norris (pansyskate97)

The spatial scale at which demographic performance (e.g., net reproductive output) varies can profoundly influence landscape-level population growth and persistence, and many demographically pertinent processes such as species interactions and resource acquisition vary at fine scales. We compared the magnitude of demographic variation associated with fine-scale heterogeneity (1 ha) fluctuations associated with fire disturbance. check details We used a spatially explicit model within an IPM modeling framework to evaluate the demographic importance of fine-scale variation. We used a measure of expected lifetime fruit production, EF , that is assumed to be proportional to lifetime fitness. Demographic differences and their effects on EF were assessed in a population of the herbaceous perennial Hypericum cumulicola (~2,600 individuals), within a patch of Florida rosemary scrub (400 × 80 m). We compared demographic variation over fine spatial scales to demographic variation between years across 6 yr after a fire. Values of EF changed by orders of magnitude over less then 10 m. This variation in fitness over fine spatial scales ( less then 10 m) is commensurate to postfire changes in fitness for this fire-adapted perennial. A life table response experiment indicated that fine-scale spatial variation in vital rates, especially survival, explains as much change in EF as demographic changes caused by time-since-fire, a key driver in this system. Our findings show that environmental changes over a few tens of meters can have ecologically meaningful implications for population growth and extinction. To evaluate patient engagement processes in the development of a new health coaching intervention for parents of children with suspected developmental delays. A cross-sectional mixed-method study design was used. Researchers (n=18) and patient-partners (n=9) were surveyed using the Public and Patient Engagement Evaluation Tool (PPEET) in areas of (1) communication/supports for participation; (2) sharing views/perspectives; (3) impacts/influence of engagement initiative; and (4) final thoughts/satisfaction. Descriptive statistics and an inductive thematic-based approach were used to analyse the data. For both study groups, high agreement, with responses largely ranging between 'agree' to 'strongly agree', was noted on all four sections of the PPEET. Qualitative reports reflected that patient engagement was important, meaningful, and had a significant impact on the quality of the project and on the professional development of researchers in their understanding and use of patient-oriented methodology. Patient-partners noted challenges related to having realistic deadlines in providing feedback and a lack of a broader range of representation among members. The benefits and challenges of applying patient-oriented strategies to a multicentre trial were highlighted. These will be used to enhance our engagement processes. The benefits and challenges of applying patient-oriented strategies to a multicentre trial were highlighted. These will be used to enhance our engagement processes.Image data are universal in life sciences research. Their proper handling is not. A significant proportion of image data in research papers show signs of mishandling that undermine their interpretation. We propose that a precise description of the image processing and analysis applied is required to address this problem. A new norm for reporting reproducible image analyses will diminish mishandling, as it will alert co-authors, referees, and journals to aberrant image data processing or, if published nonetheless, it will document it to the reader. To promote this norm, we discuss the effectiveness of this approach and give some step-by-step instructions for publishing reproducible image data processing and analysis workflows.Buprenorphine is a partial opioid agonist commonly used to treat opioid dependence. The pharmacolo