Using harvest statistics to monitor temporal variation in kangaroo density and harvest rate

Management of the commercial harvest of kangaroos relies on quotas set annually as a proportion of regular estimates of population size. Surveys to generate these estimates are expensive and, in the larger states, logistically difficult; a cheaper alternative is desirable. Rainfall is a disappointingly poor predictor of kangaroo rate of increase in many areas, but harvest statistics (sex ratio, carcass weight, skin size and animals shot per unit time) potentially offer cost-effective indirect monitoring of population abundance (and therefore trend) and status (i.e. under-or overharvest). Furthermore, because harvest data are collected continuously and throughout the harvested areas, they offer the promise of more intensive and more representative coverage of harvest areas than aerial surveys do. To be useful, harvest statistics would need to have a close and known relationship with either population size or harvest rate. We assessed this using longterm (11-22 years) data for three kangaroo species (Macropus rufus, M. giganteus and M. fuliginosus) and common wallaroos (M. robustus) across South Australia, New South Wales and Queensland. Regional variation in kangaroo body size, population composition, shooter efficiency and selectivity required separate analyses in different regions. Two approaches were taken. First, monthly harvest statistics were modelled as a function of a number of explanatory variables, including kangaroo density, harvest rate and rainfall. Second, density and harvest rate were modelled as a function of harvest statistics. Both approaches incorporated a correlated error structure. Many but not all regions had relationships with sufficient precision to be useful for indirect monitoring. However, there was no single relationship that could be applied across an entire state or across species. Combined with rainfall-driven population models and applied at a regional level, these relationships could be used to reduce the frequency of aerial surveys without compromising decisions about harvest management.

Reassessing spatial and temporal dynamics of kangaroo populations

Long-running datasets from aerial surveys of kangaroos (Macropus giganteus, Macropus [uliginosus, Macropus robustus and Macropus rufus) across Queensland, New South Wales and South Australia have been analysed, seeking better predictors of rates of increase which would allow aerial surveys to be undertaken less frequently than annually. Early models of changes in kangaroo numbers in response to rainfall had shown great promise, but much variability. We used normalised difference vegetation index (NDVI) instead, reasoning that changes in pasture condition would provide a better predictor than rainfall. However, except at a fine scale, NDVI proved no better; although two linked periods of rainfall proved useful predictors of rates of increase, this was only in some areas for some species. The good correlations reported in earlier studies were a consequence of data dominated by large droughtinduced adult mortality, whereas over a longer time frame and where changes between years are less dramatic, juvenile survival has the strongest influence on dynamics. Further, harvesting, density dependence and competition with domestic stock are additional and important influences and it is now clear that kangaroo movement has a greater influence on population dynamics than had been assumed. Accordingly, previous conclusions about kangaroo populations as simple systems driven by rainfall need to be reassessed. Examination of this large dataset has permitted descriptions of shifts in distribution of three species across eastern Australia, changes in dispersion in response to rainfall, and an evaluation of using harvest statistics as an index of density and harvest rate. These results have been combined into a risk assessment and decision theory framework to identify optimal monitoring strategies.

The rα structure, chemical shift anisotropy, and the abnormal orientation of methyldichlorophosphine from the NMR spectrum

NMR studies of methyldichlorophosphine have been undertaken in the nematic phase of mixed liquid crystals of opposite diamagnetic anisotropies. The rα structure is derived. The proton chemical-shift anisotropy has been determined from the studies without the use of a reference compound and without a change of experimental conditions. It is shown that the molecule orients in the liquid crystal with positive diamagnetic anisotropy in such a way that the C3 symmetry axis of the CH3P moiety is preferentially aligned perpendicular to the direction of the magnetic field, unlike other similar systems. This is interpreted in terms of the formation of a weak solvent-solute molecular complex. The heteronuclear indirect spin-spin coupling constants are determined. The sign of the two-bond JPH is found to be positive.

Tombstone of David Benjamin; Strangriede Cemetery (R 84.7); Hannover Cemeteries Tombs

Digital Image

Tombstone of H. Solomon; Strangriede Cemetery (R 83); Hannover Cemeteries Tombs

Digital Image

Tombstone of Frederike Benjamin nee Salamon; Strangriede Cemetery (R 83); Hannover Cemeteries Tombs

Digital Image

Tombstone of Herz Benjamin (Naftali); Strangriede Cemetery (R 83.12); Hannover Cemeteries Tombs

Digital Image

Tombstone of Max Molling; Strangriede Cemetery (R 29.10); Hannover Cemeteries Tombs

Digital Image

Tombstone of Marianne Benjamin nee Sussmann; Strangriede Cemetery (R 83.9); Hannover Cemeteries Tombs

Digital Image

Tombstone of Arthur Molling; Strangriede Cemetery (R 26.05); Hannover Cemeteries Tombs

Digital Image

Tombstones of Frederike Benjamin nee Salamon and her husband David Benjamin; Strangriede Cemetery (R 84.6 and R 84.7); Hannover Cemeteries; Tombs

Digital Image

Detail of tombstone of Arthur Molling; Strangriede Cemetery (R 26.05); Hannover Cemeteries Tombs

Digital Image

Tombstones of Sophie Molling and Max Molling (center in shadow); Strangriede Cemetery (R 29.09 and R 29.10); Hannover Cemeteries Tombs

Digital Image

Tombstones of Joseph Benjamin and Marianne Benjamin nee Sussmann; Strangriede Cemetery (R 83.8 and R 83.9); Hannover Cemeteries Tombs

Digital Image

Tombstones of Lea Benjamin nee Levy and Herz Benjamin; Strangriede Cemetery (R 83.11 and R 83.12); Hannover Cemeteries Tombs

Digital Image