This paper presents a national-scale map of habitat suitability for tamarisk (Tamarix spp, salt cedar), a high-priority invasive species. We successfully integrate satellite data and tens of ...thousands of field sampling points through logistic regression modeling to create a habitat suitability map that is 90% accurate. This interagency effort uses field data collected and coordinated through the US Geological Survey and nationwide environmental data layers derived from NASA's MODerate Resolution Imaging Spectroradiometer (MODIS). We demonstrate the use of the map by ranking the 48 continental US states (and the District of Columbia) based on their absolute, as well as proportional, areas of "highly likely" and "moderately likely" habitat for Tamarix. The interagency effort and modeling approach presented here could be used to map other harmful species, in the US and globally.
Ecological and climate models require high-quality consistent biophysical parameters as inputs and validation sources. NASA's moderate resolution imaging spectroradiometer (MODIS) biophysical ...products provide such data and have been used to improve our understanding of climate and ecosystem changes. However, the MODIS time series contains occasional lower quality data, gaps from persistent clouds, cloud contamination, and other gaps. Many modeling efforts, such as those used in the North American Carbon Program, that use MODIS data as inputs require gap-free data. This letter presents the algorithm used within the MODIS production facility to produce temporally smoothed and spatially continuous biophysical data for such modeling applications. We demonstrate the algorithm with an example from the MODIS-leaf-area-index (LAI) product. Results show that the smoothed LAI agrees with high-quality MODIS LAI very well. Higher R-squares and better linear relationships have been observed when high-quality retrieval in each individual tile reaches 40% or more. These smoothed products show similar data quality to MODIS high-quality data and, therefore, can be substituted for low-quality retrievals or data gaps.
A biofilm is a community of micro-organisms encased within a self-produced, extracellular, polymeric substance. The role of biofilms as a major pathological aetiology in chronic rhinosinusitis would ...help explain the clinical manifestation of the disease.
To examine the current evidence, and to discuss possible future research directions, in relation to biofilms and chronic rhinosinusitis.
Systematic literature review.
Two assessors independently undertook critical appraisal of the studies identified by the literature search. Significant findings were incorporated into this review. The primary outcome assessed was the presence of biofilm in human mucosal biopsy samples taken from patients with chronic rhinosinusitis, and from healthy controls.
We identified 11 studies examining biofilm formation in human mucosal biopsy samples taken from patients with chronic rhinosinusitis.
It is unlikely that biofilms occur in every case of chronic rhinosinusitis; consequently, the significance of 'biofilm detection' in some series should be considered carefully. Several authors have argued strongly for the use of confocal scanning laser microscopy with fluorescent in situ hybridisation probes as the 'gold standard' for biofilm imaging. This imaging modality should be combined with further investigation of the microbiology of chronic rhinosinusitis, and of the efficacy of traditional culture techniques used for pathogen identification.
PDF
