Statistical Models

Chambers, John M.; Hastie, Trevor

doi:10.1201/9780203738535-2

Cited by 204 publications

(238 citation statements)

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“…First, marginal tests examined the relationships between individual predictor variables and the macrophyte similarity matrices. Second, a permutational approach (9,999 permutations) was employed to perform sequential tests of models and using the AICc (Aikake's information criterion corrected for small sample sizes) model selection criterion (Chambers & Hastie, ) to identify the best models. A distance‐based redundancy analysis (dbRDA) was used to visualize the DistLM results (Anderson et al., ; Clarke & Gorley, ; Clarke & Warwick, ).…”

Section: Methodsmentioning

confidence: 99%

Drivers of species richness and abundance of marine macrophytes on shallow tropical reefs of north‐western Australia

Olsen

Mattio

Perez

et al. 2018

Journal of Biogeography

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Aim Marine macrophytes are important components of tropical reefs that are influenced by environmental conditions and biotic interactions. Here, we aimed to identify the factors that shape macrophyte communities on shallow reefs in a region with limited anthropogenic impacts, but that is influenced by periodic disturbances from cyclones and marine heatwaves. Location Pilbara coast, Western Australia. Methods Macrophyte species richness and biomass were assessed at 75 shallow reefs along 300 km of shoreline in November 2013 and May 2014. The influence of 28 predictor variables including seascape descriptors, physico‐chemical variables, and herbivore abundances were evaluated using distance based linear models (DistLM), redundancy analyses (dbRDA), and full‐subsets multiple regressions. Results We identified 188 macrophyte species; 60% were Rhodophyta, whereas Phaeophyceae made up 67% of the biomass. Macrophyte assemblages did not show any broad‐scale patterns but a number of key drivers were identified, including sea surface temperature, salinity, and sediment uniformity. Two of the main predictors of macrophyte abundance and species richness were rugosity and coral cover rather than herbivory, unlike what has been demonstrated for many reefs globally. Availability of space therefore appears to be a major factor on these reefs and it is possible that macrophytes benefit from periodic disturbances as they can free up space through physical removal of organisms. Main conclusions Macrophyte assemblages along the Pilbara coast show no distinct large‐scale patterns; instead, local biotic and environmental drivers such as rugosity appear to be structuring assemblages. We propose that natural disturbance plays a key role on these shallow reefs by increasing substrate availability. Data on the long‐term community structure of macroalgae, in particular how communities respond to heatwaves and cyclones, would improve our ability to manage these reefs and predict potential “phase shifts” which can have severe ecological and economic consequences.

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Section: Methodsmentioning

confidence: 99%

Drivers of species richness and abundance of marine macrophytes on shallow tropical reefs of north‐western Australia

Olsen

Mattio

Perez

et al. 2018

Journal of Biogeography

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“…A generalised linear model (GLM) was fitted to determine the relationship between the air temperature, hydrometric water levels and transparency changes with the BPUE of fish species (Chambers & Hastie, ; McCullagh & Nelder, ).…”

Section: Methodsmentioning

confidence: 99%

Potential effects of global climate change on fisheries in the Trasimeno Lake (Italy), with special reference to the goldfish Carassius auratus invasion and the endemic southern pike Esox cisalpinus decline

Carosi

Ghetti²,

Padula³

et al. 2018

Fisheries Management Eco

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Global climate changes have led to a gradual warming of the planet, resulting in decreased precipitation and rising temperatures in Mediterranean inland waters. In Trasimeno Lake, the largest shallow lake in Italy, some non‐native fish species have probably benefited from these changes as they are thermophilic and characterised by wider habitat preferences. Fish data collected by gillnets and fyke nets between 1956 and 2016, and by electrofishing in 1993 and 2014, were used to analyse changes over time in the fish community in relation to environmental conditions. An explosion in goldfish Carassius auratus (L.), following its introduction in 1988, coupled with water level fluctuations and reduced transparency, contributed to the reduction in commercial fish catch in the lake, and to the decline of the endemic southern pike Esox cisalpinus Bianco & Delmastro, already threatened by reduced spawning habitat and interspecific competition with other non‐native predatory fishes.

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“…To demonstrate the underlying trend, we used generalised additive models with locally weighted regression (LOESS) to smooth monthly presentation rates in the time domain 5 35. In a LOESS smoother, a low-degree polynomial regression is fitted for each observation using observations that are close to the one of interest.…”

Section: Methodsmentioning

confidence: 99%

“…This is repeated until the mean response of every observation has been estimated. A weighted least squares algorithm is used in the process, with the weight values determined by a tricube function: greater weights are assigned to observations nearer to the month at which the presentation rate was estimated 35 36. The distribution of weights reflects the view that events close to the index presentation are more likely to be related, and are thus assigned greater weights, and events distant from the index presentation are less likely to be related, so carry less weight.…”

Section: Methodsmentioning

confidence: 99%

Pattern of symptoms and signs of primary intracranial tumours in children and young adults: a record linkage study

et al. 2015

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ObjectiveTo describe the age pattern and temporal evolution of symptoms and signs of intracranial tumours in children and young adults before diagnosis. Design and settingA record linkage study using population-based data from the National Cancer Registry, linked to Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics (HES). Patient cohortPatients aged 0-24 years when diagnosed with a primary intracranial tumour between 1989 and 2006 in England. MethodsLinked records of relevant symptoms and signs in primary care and hospitals were extracted from CPRD (1989CPRD ( -2006 and HES (1997HES ( -2006. Temporal and agespecific changes in presentation rates before diagnosis of an intracranial tumour, for each of eight symptom groups, were estimated in generalised additive models. Results All ConclusionsNon-localising symptoms and signs were more than twice as common as focal neurological signs.An intracranial tumour should be considered in patients with relevant symptoms that do not resolve or that progress rapidly.4

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Statistical Models

Cited by 204 publications

References 0 publications

Drivers of species richness and abundance of marine macrophytes on shallow tropical reefs of north‐western Australia

Drivers of species richness and abundance of marine macrophytes on shallow tropical reefs of north‐western Australia

Potential effects of global climate change on fisheries in the Trasimeno Lake (Italy), with special reference to the goldfish Carassius auratus invasion and the endemic southern pike Esox cisalpinus decline

Pattern of symptoms and signs of primary intracranial tumours in children and young adults: a record linkage study

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