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The lack of detailed life history (LH) information (e.g. age, growth, size at maturity, sex composition etc.) for many species of conservation importance limits the implementation of appropriate conservation measures. Typically, LH information is acquired using lethal sampling techniques, which undermines the goal of conservation. This is particularly problematic for many shark species that have low fecundity and slow growth rates. Here we tested the use of non-invasive laser photogrammetry to measure body morphometry in vivo. We used random forest classification models to identify allometric relationships (ratios between body measurements) that discriminated between the sex and stage of sexual maturity of Scyliorhinus canicula . We coupled the use of allometric ratios (determined from cadavers) with parallel laser photogrammetry, in order to collect total length (TL) and finer scale morphometrics from 37 free-swimming individuals. TL measurements proved to be accurate (SE = 5.2%) and precise (CV = 1.8%), and did not differ significantly from the known TL of the respective animal ( t 36 = 0.7, P  = 0.5). Conditional Inference tree model predictions of free-swimming sharks correctly predicted 100% of mature males and 79% of immature males. Our results suggest that when used together, allometric ratios and parallel laser photogrammetry have the potential to be a promising alternative to collect essential life history information from free swimming animals and avoids the need for destructive sampling.

Sessile biota can compete with or facilitate each other, and the interaction of facilitation and competition at different spatial scales is key to developing spatial patchiness and patterning. We examined density and scale dependence in a patterned, soft sediment mussel bed. We followed mussel growth and density at two spatial scales separated by four orders of magnitude. In summer, competition was important at both scales. In winter, there was net facilitation at the small scale with no evidence of density dependence at the large scale. The mechanism for facilitation is probably density dependent protection from wave dislodgement. Intraspecific interactions in soft sediment mussel beds thus vary both temporally and spatially. Our data support the idea that pattern formation in ecological systems arises from competition at large scales and facilitation at smaller scales, so far only shown in vegetation systems. The data, and a simple, heuristic model, also suggest that facilitative interactions in sessile biota are mediated by physical stress, and that interactions change in strength and sign along a spatial or temporal gradient of physical stress.

The liver is innervated by sympathetic efferent, spinal afferent, vagal afferent and probably also vagal efferent fibres. To assess potential functional roles of the various neuronal subsets, data on transmitter systems are of crucial importance. This study was aimed at elucidating a possible opioidergic system in the mouse and rat liver. In particular relationships of opioidergic neurons to immune cells were emphasised. Material from perfusion-fixed mice ( n=29) of different strains (BALB/c, NMRI, C57Bl6, SV 129 inbred) and Wistar rats ( n=7) was cryosectioned at 12-14 microm and incubated for single or double immunofluorescence. Antibodies directed against dynorphin A, met-enkephalin, endomorphin 1 and 2, mu, kappa- and delta-opioid receptors (MOR, KOR, DOR), tyrosine hydroxylase (TH), dopamine beta-hydroxylase (DBH), CD4, CD8 and macrophages were used. Binding sites were detected using Cy3-, FITC-, DTAF-, Cy2-, Alexa 555- and Texas red-tagged secondary antibodies. Specimens were analysed using confocal laser scanning microscopy (CLSM). Numerous nerve fibres staining for dynorphin were found in periportal areas of both mouse and rat livers. Neither met-enkephalin nor endomorphin could be detected in axons. No immunopositive neuronal cell bodies or other cellular elements were seen. All dynorphin positive fibres costained for TH while not every TH-positive fibre costained for dynorphin. Thus, most if not all dynorphin-positive nerve fibres may be of sympathetic origin. KOR immunostaining could be localised to round mononuclear cells which often costained for CD4, less frequently for CD8 and rarely for the pan-macrophage marker BM8. Altogether, about 45% of KOR-positive cells were identified as T-lymphocytes. In some instances, close appositions of dynorphin-positive axons to KOR-positive cells were revealed by CLSM. No KOR immunoreactivity was detected in nerve fibres. Hence, sympathetic neurons innervating the liver may interfere with inflammatory processes, in addition to their well-established beta(2)-adrenergic effect, via an opioidergic action on immune cells.

In the field, Spinachia fed on four types of prey; copepods, isopods, mysids and amphipods. As fish size increased, mysids gradually succeeded amphipods as the most important food type in the diet. Prey dimensions and morphometry of the fish's mouth most accurately predicted capture efficiency for amphipods, whereas for mysids capture efficiency was determined by the prey's escape response and the fish's fast-start capability. Responses to model prey revealed the ability of fish to differentiate among contrasting prey characteristics, resulting in the adoption of appropriate predatory tactics. Amphipods were associated with a shorter gut evacuation time than mysids, although approximately equal proportions of energy were absorbed from each. Similar rations of mysids and amphipods were required to satiate fish. The lower energy content per unit dry mass of amphipods was off set by their lower water content. From pre-digestive behaviour, we predicted that mysids were more profitable than amphipods, and this was reflected in the fish's choice. Conversely, incorporating the net rate of energy uptake by the gut led us to predict that amphipods were more profitable. Although physiological constraints clearly influence the net rate of energy uptake, it appears that dietary preferences are based on pre-digestive predatory behaviour and hence on time minimisation.