We studied food webs comprising fish, macroinvertebrates, and algae (identified to species or morphospecies) in small streams using a consistent methodology at the same spatial and temporal scales. Our aim was to test a priori hypotheses derived from dynamic‐demographic and energetics models concerning the effects of disturbance and resource availability on food‐web attributes. The regime of bed disturbance affecting the organisms in the webs was measured in 10 streams. We also derived measures of the supply of resources for animals in the webs in terms of algal primary productivity and detritus standing crop. Both web size and number of links per species were significantly negatively related to mean intensity of bed disturbance. Mean chain length had a significant positive relationship with algal primary productivity but not disturbance. No food‐web attribute was related to detritus standing crop.
Perth’s new 72 km long Southern Rail System opened in 2007. With a maximum speed of 137 km/hr and an average speed of almost 90 km/hr this system acts more like a new high speed rail than a suburban rail system, which in Australia typically averages around 40 km/hr for an all-stops services. The Southern Rail Line was very controversial when being planned as the urban areas served are not at all typical of those normally provided with rail but instead were highly car dependent and scattered low density land uses. Nevertheless it has been remarkably successful, carrying over 70,000 people per day (five times the patronage on the express buses it replaced) and has reached the patronage levels predicted for 2021 a decade ahead of time. The reasons for this success are analyzed and include well-designed interchanges, careful integration of bus services, the use of integrated ticketing and fares without transfer penalties and, crucially the high speed of the system when compared to competing car based trips. The Southern Rail Line in effect explodes the current paradigm of transfer penalties, exposing this as a myth. The lessons for transport planning in low density cities are significant, and are explored further in the paper.
Many car-dependent cities have major transit projects stuck in financial and economic assessment due to inadequate links between land use, transport, and funding. This has left most urban transport networks underfunded and requiring significant government support. During this widening transit funding gap, there has been an international increase in demand on transit systems, which is in part a response to the global peak in car use per capita. This paper demonstrates to transit proponents and practitioners how to facilitate infrastructure projects by optimizing induced and activated land-use change. A five-step framework for assessment is proposed that includes assessing the regional and local legislation and regulations to determine what alternative funding opportunities are available, undertaking accessibility beneficiary analysis, analyzing the project-induced land value uplift, developing an alternative funding strategy to implement integrated land-use and transport planning mechanisms, and preparing a procurement and delivery strategy. The proposed assessment framework enables transit business cases to extend project funding for integrated transit and land-use projects, especially in car-dependent cities. This is demonstrated through a case study of Perth, Western Australia.
A resistant phenotype similar to that conferred in wheat by the complementary genes Lr27 + Lr31 was produced in the progeny of intercrosses of cultivars carrying Lr27 and a line possessing Lr12. This confirms that Lr12 is either completely linked with Lr31 or is the same gene. On the basis of these findings and that Lr31 is located on chromosome 4BS, it is concluded that Lr12 must also be located on 4BS. Adult‐plant genetic tests confirm that the Australian wheat cultivar Timgalen carries Lr12, and stocks with Lr12 alone were established from this cultivar.
Objective.We identify two linked problems related to estimating the phase of the alpha rhythm when the signal after a specific event is unknown (real-time case), or corrupted (offline analysis). We propose methods to estimate the phase prior to such events. Approach. Machine learning methods are used to mimic a non-causal signal-processing chain with a purely causal one.Main results.We demonstrate the ability of these methods to estimate instantaneous phase from an electroencephalography signal subjected to very minor pre-processing with higher accuracy than more standard signal-processing methods. Significance. Phase estimation of EEG-rhythms is a challenge due to non-stationarity and low signal to noise ratio. The methods presented enable scientists and engineers to achieve relatively low error by optimizing causal phase estimation on a non-causally processed signal for a real-time experiments and offline analysis.
Diffuse axonal injury (DAI) in the central nervous system is a common cause of post-traumatic coma and may result in varying degrees of disability up to and including the vegetative state. Experimental studies in man and animals have previously relied upon semi-quantitative grading systems for determining the relationship between the extent of DAI and the clinical features of patients. Using beta-amyloid precursor protein immunocytochemistry for the detection of DAI in sections of corpus callosum from 15 cases of fatal head injury, we have developed a quantitative image analysis technique for the assessment of axonal injury. This new method is objective and reproducible and should allow better correlation with biomechanical, radiological, and clinical parameters to increase our understanding of DAI.
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