The temporal incidence of the various life history stages of a new leptopiine weevil (Coleoptera: Curculionidae) is given. Distribution records were all from far north coastal Queensland. Most adults emerged from earthen cells (at a mean depth of 100 mm) with the first storm rains yielding approximately 50 mm in October-November.Adult pairs of the leptopiine were fed on germinated Vigna sinensis seed and provided with 25 mm squares of tissue paper as oviposition substrate. Eggs were incubated at temperatures ranging from 10.1 to 31.7 0.5"C. Larvae were reared in the laboratory on V. sinensis seedlings. The number of larval instars was estimated as six on a basis of head capsule measurements.Host plant records all from the family Leguminoseae include a number of pasture legumes. Chemical and cultural methods of control are outlined.

Salt marsh ecology classification is difficult using traditional coarse resolution remote sensing techniques. Salt marshes exhibit a spatial pattern of vegetation zonation that are visually identifiable using imagery that has an improved 0.04 meter per pixel resolution. This project applies high resolution unmanned aerial system (UAS) imagery to aid in multi-temporal classification of our study area (Horseneck Beach) in Westport, Massachusetts, USA. We flew a DJI Phantom Pro 3 at low-and high-tide to capture effects the changing tide has on vegetation in an effort to predict effects of the rising sea level on saline plant species. We implement an open source software workflow using OpenDroneMap and the Semi-Automatic Classification Plugin for QGIS to create the necessary orthomosaics and to conduct vegetation classification required of this project. We compare land cover classifications using one-time-point RGB imagery to a multi-time-point (low tide, high tide) RGB image stack to investigate whether the multi-time point stack improves land cover classification accuracy. We find it does. More generally, this paper provides a model for others wishing to use low-cost UAS equipment carrying a simple low-cost RGB camera, and free and open source for geospatial (FOSS4G) tools, to develop multi-band image stacks to improve land cover classification accuracy. Further, we provide some reflections and technical notes on our experience. The approach we present here could be extended to include other image layers that UAS can provide when equipped with other sensors, such as multi-spectral (e.g., NIR, thermal), or by adding another band with photogrammetry-produced digital elevation data.

Soil-dwelling insects cause poor establishment of summer crops, especially sunflower, in the Central Highlands of Queensland. Laboratory studies established that adults and nymphs of cockroaches, Calolampra spp., and Pterohelaeus alternatus beetles were most damaging to sunflower seedlings. Field trials were used to define an econonic injury level (EIL) for these insects in sunflower, but a comparison of yields from untreated and treated plots (where baits were used to control soil-dwelling insects) was inconclusive. However, based on seed costs alone, 1.34 insects/mound.night was established as an EIL. Injury equivalents were used to refine the EIL to account for multiple species attacking seedling crops. At the recommended baiting rate of 2.5 kg/ha, the EIL was 1.97 insect equivalents/mound.night.

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