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Abstract Background Malaria remains a challenge in Solomon Islands, despite government efforts to implement a coordinated control programme. This programme resulted in a dramatic decrease in the number of cases and mortality however, malaria incidence remains high in the three most populated provinces. Anopheles farauti is the primary malaria vector and a better understanding of the spatial patterns parasite transmission is required in order to implement effective control measures. Previous entomological studies provide information on the ecological preferences of An. farauti but this information has never before been gathered and “translated” in useful tools as maps that provide information at both the national level and at the scale of villages, thus enabling local targeted control measures. Methods A literature review and consultation with entomology experts were used to determine and select environmental preferences of An. farauti. Remote sensing images were processed to translate these preferences into geolocated information to allow them to be used as the basis for a Transmission Suitability Index (TSI). Validation was developed from independent previous entomological studies with georeferenced locations of An. farauti. Then, TSI was autoscaled to ten classes for mapping. Results Key environmental preferences for the An. farauti were: distance to coastline, elevation, and availability of water sources. Based on these variables, a model was developed to provide a TSI. This TSI was developed using GIS and remote sensing image processing, resulting in maps and GIS raster layer for all the eight provinces and Honiara City at a 250 m spatial resolution. For a TSI ranging from 0 as not suitable to 13 as most suitable, all the previous collections of An. farauti had mean TSI value between 9 and 11 and were significantly higher than where the vector was searched for and absent. Resulting maps were provided after autoscaling the TSI into ten classes from 0 to 9 for visual clarity. Conclusions The TSI model developed here provides useful predictions of likely malaria transmission larval sources based on the environmental preferences of the mosquito, An. farauti. These predictions can provide sufficient lead-time for agencies to target malaria prevention and control measures and can assist with effective deployment of limited resources. As the model is built on the known environmental preferences of An. farauti, the model should be completed and updated as soon as new information is available. Because the model did not include any other malaria transmission factors such as care availability, diagnostic time, treatment, prevention, and entomological parameters other than the ecological preferences neither, our suitability mapping represents the upper bound of transmission areas. The results of this study can now being used as the basis of a malaria monitoring system which has been jointly implemented by the Solomon Islands National Vector Borne Disease Control Programme, the Solomon Islands Meteorological Services and the Australian Bureau of Meteorology. The TSI model development method can be applied to other regions of the world where this mosquito occurs and could be adapted for other species.

Following publication of the original article [1], one of the authors flagged that the images for Figs. 2 and 3 were swapped in the published article—Fig. 2 had the image meant for Fig. 3 and vice versa.

Spatial and temporal variation in the breeding of Masked Lapwings (Vanellus miles) in Australia were examined using data from Birds Australia's Nest Record Scheme (NRS; 1957?2002), the Atlas of Australian Birds (1998?2006), and climatic data (1952?2006). Breeding in north-western Australia was concentrated in summer, while in other regions the peak of breeding occurred during spring. Breeding success varied between regions and years but was generally highest in Tasmania. Clutch-size (mean 3.57 eggs 0.033 s.e., n = 549 clutches) did not vary regionally or temporally. In the north-east, breeding became earlier over time (~1.9 days per year, NRS), while in the south-east, breeding became later (~0.9 days per year); in other regions temporal trends were not evident. Only Tasmania showed a significant temporal change in breeding success (decrease of ~1.5% per year). All regions experienced warming climates, and annual rainfall increased in north-western regions and decreased in eastern regions. There were weak or no relationships between the amount or success of breeding, clutch-size and the climatic variables considered (with the possible exception of Tasmania), suggesting either that data limitations precluded us from detecting subtle effects or that Masked Lapwings have been little influenced or are resilient to changes in climate over most of their range. [ABSTRACT FROM AUTHOR]

The influence of climate on the timing of migration of Australian birds is poorly understood, particularly in Western Australia and for waterfowl. This paper examines a new dataset, comprising presence?absence records of 20 species of waterbirds and landbirds at Middlesex, south-western Australia, for the period 1973?2000. Considering only species with sufficient records to determine trends, over this period nine of 19 species (47%) had significantly altered arrival times (five arriving earlier and four later); seven of 17 species (41%) had significant changes in departure dates (four departing later, three earlier); and eight of 17 (47%) species had significantly different season lengths (the period spent at Middlesex, with five spending more time at Middlesex). Generally, changes in the timing of regular seasonal movements were consistent among species that arrived or departed in similar seasons, with species that arrive in spring tending to arrive earlier, while species arriving in autumn and winter arrived later. Trends were generally more pronounced in spring-arriving species, though strong trends were also seen in other seasons. This region experienced significant reductions in the number of rain-days and increased minimum temperature over the study period. For many Middlesex species, particularly waterbirds, precipitation changes appeared to have a greater influence on changes in migration timing than temperature, though some species also appeared to respond to changes in extreme temperatures. This differs from many northern hemisphere studies, where changes in mean, maximum, or minimum temperature were associated with changes in migration timing. [ABSTRACT FROM AUTHOR]

Climate is known to influence the timing and success of breeding in many bird species. In the northern hemisphere, significant breeding changes have been associated with climate change, with warming temperatures, often, but not always, corresponding to earlier laying. For the critically endangered Helmeted Honeyeater (Lichenostomus melanops cassidix) of central southern Victoria, Australia, climate also plays a role in the timing and success of breeding. During the period 1989 to 2006, the timing of laying became earlier and there was a possible reduction in the mean number of eggs laid per breeding season. These changes correspond to a reduction in rainfall and mild warming. If these trends continue under projected climate-change regimes, there will be increased risk of further population decline. [ABSTRACT FROM AUTHOR]

Current evidence of phenological responses to recent climate change is substantially biased towards northern hemisphere temperate regions. Given regional differences in climate change, shifts in phenology will not be uniform across the globe, and conclusions drawn from temperate systems in the northern hemisphere might not be applicable to other regions on the planet. We conduct the largest meta-analysis to date of phenological drivers and trends among southern hemisphere species, assessing 1208 long-term datasets from 89 studies on 347 species. Data were mostly from Australasia (Australia and New Zealand), South America and the Antarctic/subantarctic, and focused primarily on plants and birds. This meta-analysis shows an advance in the timing of spring events (with a strong Australian data bias), although substantial differences in trends were apparent among taxonomic groups and regions. When only statistically significant trends were considered, 82% of terrestrial datasets and 42% of marine datasets demonstrated an advance in phenology. Temperature was most frequently identified as the primary driver of phenological changes; however, in many studies it was the only climate variable considered. When precipitation was examined, it often played a key role but, in contrast with temperature, the direction of phenological shifts in response to precipitation variation was difficult to predict a priori. We discuss how phenological information can inform the adaptive capacity of species, their resilience, and constraints on autonomous adaptation. We also highlight serious weaknesses in past and current data collection and analyses at large regional scales (with very few studies in the tropics or from Africa) and dramatic taxonomic biases. If accurate predictions regarding the general effects of climate change on the biology of organisms are to be made, data collection policies focussing on targeting data-deficient regions and taxa need to be financially and logistically supported.