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Spatial variation in size at onset of maturity of female southern rock lobster Jasus edwardsii around Tasmania, Australia

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Abstract

The size at onset of maturity (SOM) of female Jasus edwardsii (Hutton, 1875) was estimated at 50 sites around Tasmania, Australia, based on the presence of ovigerous setae. There was a distinct spatial cline with the largest SOM being found at northwestern sites and the smallest at southwestern sites. Variation in SOM between sites was substantial and ranged from 59 min to 112 mm carapace length. The observed decline in SOM from north to south was the reverse of that described for the same species at similar latitudes in New Zealand, which suggests that SOM in J. edwardsii is regulated by factors in addition to temperature. The effect of density on female SOM was investigated by comparing SOM estimates from two marine reserves with adjacent fished sites; however, there was no evidence of a decline in SOM with increasing density as predicted. A model of SOM predicted by latitude and longitude is described to facilitate spatial modelling of lobster stocks. The substantial and predictable spatial variation in SOM implies that management of this fishery would be improved by incorporating spatial elements, such as regional legal minimum size limits.
... Although monitoring methods for some crustaceans are similar to methods used for fish species, many crustaceans have different life histories and population dynamics and hence a range of more tailored approaches are used. Most lobster fisheries utilise lobster pots (or traps) as the primary capture or monitoring method (Ziegler et al., 2002, Gardner et al., 2006, Courchene and Stokesbury, 2011, Tuffley et al., 2018. Several lobster fisheries utilise puerulus (final larval stage) monitoring to inform on stock abundance, based on pioneering trials conducted for the West Australian lobster Panulirus cygnus (WRL) fishery (Phillips, 1972, Caputi et al., 1995. ...
... Sponge (Pauly et al., 2022b); jellyfishes (Palomares & Pauly, 2009); planarian (Whitney, 1942); chaetognaths ; cephalochordates ; horseshoe crabs (Suzuki et al., 2008); fishes (Pauly, 2019(Pauly, , 2021a Sponge (Pauly et al., 2022b); planarians (Whitney, 1942); polychaetes (Forbes & Lopez, 1990); trilobites (Gutiérrez-Marco et al., 2009); chaetognaths (John, 1933;; fishes (Pauly, 2019) See Figure 6 for rock lobster in West Australia; Gardner et al. (2006) 5 Large individuals of a given taxon are more sensitive than small ones to hypoxia and/or high temperatures ...
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Gill surface area (S) and respiration (R) in juvenile and adult crustaceans scale with their body weight (W) such that S ∝ R ∝ Wd, with d ranging mostly between 0.6 and 0.9, but always <1, as in other water-breathing ectotherms (WBE). The growth of adult crustaceans therefore approaches an asymptote, whether or not seasonal growth oscillations are explicitly considered in the model used to describe that growth (e.g., von Bertalanffy growth function). On the other hand, the variation in asymptotic size (L∞ or W∞) among crustaceans is primarily determined by water temperature, which impacts on the oxygen requirements of WBE. Through multiple examples, this and related aspects of the Gill-Oxygen Limitation Theory (GOLT), first developed for fishes and later extended to other WBE, are shown to also apply to the growth of a wide range of crustacean taxa. The GOLT also explains certain aspects of crustacean reproduction, such as the relationship between size at first maturity and maximum size, and, possibly, the feature that female crustaceans hold their eggs outside of their bodies instead of internally.
... The longer larval duration of Southern Rock Lobster (Villacorta-Rath et al., 2016) likely results in non-local recruitment conditions driving their distributions. Changes in upwelling patterns and resulting reductions in temperatures can have an impact on the growth rate and size of maturity of Southern Rock Lobster (Gardner et al., 2006;Linnane et al., 2008). It is expected that settlement of larvae will become even more variable with time as climate change alters the oceanographic environment at higher rates in the future (Linnane and Crosthwaite, 2009). ...
... Although there was no apparent impact in this study, egg-bearing females may behave and compete differently, requiring further study (Campbell 1990, Figler et al. 1997, Mello et al. 1999). Second, due to different growth rates and size at maturity between J. edwardsii and S. verreauxi (Montgomery 1992, Gardner et al. 2006, matched size pairs of lobsters were of different ages and not at the same stage of sexual maturity in this study. However, since size is an important predictor of competitive dominance in crustaceans (Thomas et al. 2003), future studies will need to assess this factor by simulating natural size variations. ...
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Species redistributions are one of the most prevalent changes observed in oceans worldwide due to climate change. One of the major challenges is being able to predict temperature-driven changes to species interactions and the outcome of these changes for marine communities due to the complex nature of indirect effects. In the ocean-warming hotspot of south-east Australia, the ranges of many species have shifted poleward. The range of the eastern rock lobster Sagmariasus verreauxi has extended into warming Tasmanian waters inhabited by the resident southern rock lobster Jasus edwardsii , which may lead to increased competitive interactions between the species. Using video monitoring, we investigated how the 2 species compete for food at current (18°C), future (21°C) and future heatwave (24°C) summer temperatures. Behavioural competition occurred in 80% of experiments, during which J. edwardsii won 84% of competitive interactions and showed more aggressive behaviour at all temperatures. This indicates that resident J. edwardsii is not only more dominant in direct food competition than the range-shifting S. verreauxi but, surprisingly, also sustains competitive dominance beyond its physiological thermal optimum under predicted future ocean warming and heatwave scenarios.
... Reproductive characteristics of crustaceans, however, are influenced by a suite of factors, including environmental variables (Fisher, 1999;Dawe et al., 2012;Gallardo et al., 2017), nutrition (Pollock, 1995;Berkenbusch & Rowden, 2000), predation and disease (Shields, 1991;Haig et al., 2016;Olson et al., 2018), population density (Queirós et al., 2013;Murphy, 2021) and fishing pressure (Lester et al., 2014;Tu et al., 2018). Water temperature, in particular, is well-recognised to influence the onset of sexual maturity (Annala et al., 1980;Gardner et al., 2006;Kuhn & Darnell, 2019;Santana et al., 2021), timing and duration of mating and spawning (Aragón-Noriega & Alcántara-Razo 2005; Castilho et al., 2008;van de Kerk et al., 2016) and the number and viability of eggs produced (Pinchuk & Hopcroft, 2006;Fischer & Thatje, 2008;Perez-Miguel et al., 2020). Robust management therefore requires knowledge of how these reproductive parameters vary over time as well as throughout the geographic distribution of a species. ...
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... However, it is likely that the influence of sex would be negligible as lobsters were not mature. The size at maturity for this species and region is 75-80 mm CL (see Gardner et al., 2006). Spiny lobsters undergo changes in social behaviours (e.g. ...
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Technical Report
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This report summarises information from simulations of the effects of large Marine Protected Areas (MPAs) on Tasmanian rock lobster Jasus edwardsii stocks. Simulations are based on the declaration of large MPAs in conjunction with a total allowable catch (TAC, or quota) management system using the Tasmanian rock lobster assessment model. This model incorporates extensive fisheries and biological data1 and fits are good by resource assessment standards. Spatial information is limited to the division of Tasmanian waters into eight regions and no migration between regions was considered. Migration was not included in the model as it was considered important to initially establish if MPAs affect biomass and egg production: migration of adults across reserve boundaries simply tends to dampen any effect. Modelling provides a technique for assessing the complex set of interacting factors that will influence any harm or benefit from MPAs. On its own, experimental evidence of a change in abundance or diversity inside MPAs is of almost no value for assessing the impacts of MPAs on fisheries under TAC management. Rather, we need to know the effect of MPAs on animals both inside and outside the reserve. While several published studies have examined the effect of marine reserves on commercial species, none have directly considered the effect of increased fishing effort on open areas due to effort displacement from the reserves. No study has assessed objectively if there is a yield or propagation reduction/benefit from MPAs when management is by TAC. This project aimed to examine two assumptions that are usually made with MPAs - these were: 1) does an increase in egg production/biomass inside an MPA actually lead to an overall increase in egg production/biomass across a TAC managed fishery ? 2) does the displacement of fishing effort from a MPA lead to increased fishing pressure that outweighs any benefit from the MPA ? On the scale of the total fishery, both of these factors may cause MPAs to harm, rather than benefit, fish stocks and habitats. The possibility that marine reserves may harm commercial fish stocks and associated ecosystems complicates their implementation. Marine reserves are sometimes perceived as a foolproof management system for ensuring sustainability of fisheries. But sustainability is easy to achieve in fisheries management when catch is simply reduced to very low levels. The difficulty in fisheries management arises through attempting to maximise harvest without jeopardising sustainability, and the use of MPAs must be considered in this perspective. Two factors relating to the modelling process are important in understanding the results: 1) the statewide annual catch of rock lobsters was constrained by total allowable catch (TAC). Under this system, MPAs do not reduce total catch (by weight) - effort is just shifted elsewhere. 2) the shift of effort is incorporated into the model based on the historical patterns in behaviour of fishers in relation to season, region, and catch rates. The analysis of MPAs was intended to assess the potential for reducing or increasing egg production and yield through the use of MPAs, rather than prescribing location and size of MPAs to minimise their negative impact, or to maximise any fisheries benefit. It was considered that if a fisheries benefit could be demonstrated, spatially explicit work would be warranted. In general, results from projections were consistent with observations from inside existing Tasmanian MPAs - the abundance, mean size and egg production of rock lobsters increased inside MPAs at the expense of egg production and yield in areas outside the MPA. Important new conclusions from this work were that: 1) Outcomes of MPAs were not always positive. Under a TAC of 1500 tonnes, sized biomass in open areas with MPA scenarios was generally reduced by around 50% after 10 years, relative to sized biomass without MPAs. 2) the location of large MPAs influenced their effect because aspects of the biology of lobsters vary dramatically around Tasmania. 3) Large MPAs in areas important to the fishery caused severest depletion of biomass and egg production (and ecological impacts ?) in areas open to fishing. 4) Total statewide biomass became reduced when MPAs were placed in southern areas. This drop in biomass reduces the viability of the fishery and may have secondary ecological impacts. MPAs in southern areas cannot increase yield, regardless of the extent of migration across reserve boundaries. 5) MPAs in areas south of 42°S on the east coast and 41°S on the west coast either had no impact or a negative impact on total egg production. A large MPA in the southwest severely depleted total statewide egg production due to the large proportion of males in commercial harvests from this region. 6) MPAs in northern areas raised statewide egg production and biomass, albeit at the expense of other areas. Egg production in the north is low so it may be appropriate to sacrifice a portion of egg production in southern areas to improve egg production in depleted northern regions. 7) MPAs provided benefits to egg production and biomass in areas where size limits are currently sub-optimal. Similar results could also be achieved by other spatial management techniques such as split size limits around the State, or regional quotas.
Technical Report
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The fecundity and size at onset of sexual maturity of Nephrops norvegicus was estimated at different locations within the Firth of Clyde, S.W. Scotland. The “potential” fecundity was estimated from oocyte counts in mature ovaries, while estimates of “actual” fecundity were made from counts of the eggs attached to the pleopods of ovigerous females. Size at onset of maturity of Nephrops norvegicus was estimated from the study of primary (ovary maturity and eggs on pleopods) and secondary (allometric) sexual characteristics. Relationships between potential fecundity and female carapace length were found to conform to a power function (F=aLb). Comparison of the logarithmic formulations of the relationships for seven locations revealed no differences in power terms, but there were significant differences in the constants. Results suggested that differences in fecundity mainly reflected a geographical variation in oocyte volume (expressed in terms of mean dry weight) which appeared to be related to growth. Where growth rate was characterized by a low value for the asymptotic length of the carapace (L∞), females appeared to have smaller oocytes and larger size-specific fecundity. Estimates of size at onset of sexual maturity varied over small geographic scales (tens of km) and ranged between 21–34 mm carapace length for females and 29–46 mm for males, the estimate obtained from the different approaches being similar. Size at onset of maturity was positively related to L∞(p<0.05) and negatively related to adult density (p<0.05). Age at onset of maturity appeared relatively constant geographically but varied between the sexes (males, 4–4.5 years; females, 3–3.5 years).