The increased occurrence of extreme climate events, such as marine heatwaves (MHWs), has resulted in substantial ecological impacts worldwide. To date, metrics of thermal stress within marine systems have focussed on coral communities, and less is known about measuring stress relevant to other primary producers, such as seagrasses. An extreme MHW occurred across the Western Australian coastline in the austral summer of 2010–2011, exposing marine communities to summer seawater temperatures 2–5°C warmer than average. Using a combination of satellite imagery and in situ assessments, we provide detailed maps of seagrass coverage across the entire Shark Bay World Heritage Area (ca. 13,000 km2) before (2002 and 2010) and after the MHW (2014 and 2016). Our temporal analysis of these maps documents the single largest loss in dense seagrass extent globally (1,310 km2) following an acute disturbance. Total change in seagrass extent was spatially heterogeneous, with the most extensive declines occurring in the Western Gulf, Wooramel Bank and Faure Sill. Spatial variation in seagrass loss was best explained by a model that included an interaction between two heat stress metrics, the most substantial loss occurring when degree heating weeks (DHWm) was ≥10 and the number of days exposed to extreme sea surface temperature during the MHW (DaysOver) was ≥94. Ground truthing at 622 points indicated that change in seagrass cover was predominantly due to loss of Amphibolis antarctica rather than Posidonia australis, the other prominent seagrass at Shark Bay. As seawater temperatures continue to rise and the incidence of MHWs increase globally, this work will provide a basis for identifying areas of meadow degradation, or stability and recovery, and potential areas of resilience.

Fish biodiversity management relies on an accurate understanding of species identity. Biomonitoring of marine fishes conventionally involves observational identification and counts of species using an assortment of techniques including fishing, trapping, baited or unbaited remote underwater video, diver-operated stereo-video, or underwater visual census. Each biomonitoring technique has strengths and weaknesses, but all rely on expertise in fish taxonomy or, at a minimum, observers skilled in fish identification (Harvey

Environmental DNA (eDNA) metabarcoding is a sensitive and widely used approach for species detection and biodiversity assessment. The most common eDNA collection method in aquatic systems is actively filtering water through a membrane, which is time consuming and requires specialized equipment. Ecological studies investigating species abundance or distribution often require more samples than can be practically collected with current filtration methods. Here we demonstrate how eDNA can be passively collected in both tropical and temperate marine systems by directly submerging filter membranes (positively charged nylon and non-charged cellulose ester) in the water column. Using a universal fish metabarcoding assay, we show that passive eDNA collection can detect fish as effectively as active eDNA filtration methods in temperate systems and can also provide similar estimates of total fish biodiversity. Furthermore, passive eDNA collection enables greater levels of biological sampling, which increases the range of ecological questions that eDNA metabarcoding can address.

The reproductive performances of growth-enhanced transgenic, hatchery, and cultured nontransgenic coho salmon Oncorhynchus kisutch were examined to investigate the consequences of reproductive interaction between growth hormone (GH)-transgenic fish and wild fish that may occur if transgenic salmon escaped into the natural environment. We examined adult morphological phenotypes, gamete quantity and quality, in vitro offspring production, courtship and spawning behavior, male competitive behavior, and transgene transmission to offspring. Transgenic, hatchery, and cultured nontransgenic fish required 2, 3, and 3 or 4 years, respectively, to reach sexual maturation. No differences in male gamete quantity or in vitro offspring production were observed. Transgenic females were more fecund than hatchery females but had smaller eggs. Fewer transgenic females spawned than hatchery females under experimental conditions, and transgenic females displayed consistently low levels of courtship behavior. In noncompetitive trials, there were no differences in the courtship behavior of transgenic and hatchery males; during competition with hatchery males, however, transgenic males failed to spawn and displayed less courtship and competitive behavior. Cultured nontransgenic salmon also displayed reduced spawning capacity relative to hatchery salmon, indicating that the effects observed in transgenic salmon may arise in part from being reared in the culture environment and highlighting the difficulty in using laboratoryreared transgenic fish to assess reproductive fitness because of the strong genotype-environment interactions. As long as wild-reared transgenic fish are unavailable, exact determinations of reproductive fitness will be difficult. However, these studies have shown that in a simulated natural environment, growth-enhanced transgenic coho salmon do display courtship behavior and can spawn, producing viable transgenic offspring. The findings suggest some capacity exists for the natural transmission of transgenes to populations arising from reproductive interaction, which could occur during first contact between escaped cultured transgenic fish and wild conspecifics.

No abstract

Large predators often play important roles in structuring marine communities. To understand the role that these predators play in ecosystems, it is crucial to have knowledge of their interactions and the degree to which their trophic roles are complementary or redundant among species. We used stable isotope analysis to examine the isotopic niche overlap of dolphins Tursiops cf. aduncus, large sharks (>1.5 m total length), and smaller elasmobranchs (sharks and batoids) in the relatively pristine seagrass community of Shark Bay, Australia. Dolphins and large sharks differed in their mean isotopic values for δ 13 C and δ 15 N, and each group occupied a relatively unique area in isotopic niche space. The standard ellipse areas (SEAc; based on bivariate standard deviations) of dolphins, large sharks, small sharks, and rays did not overlap. Tiger sharks Galeocerdo cuvier had the highest δ 15 N values, although the mean δ 13 C and δ 15 N values of pigeye sharks Carcharhinus amboinensis were similar. Other large sharks (e.g. sicklefin lemon sharks Negaprion acutidens and sandbar sharks Carcharhinus plumbeus) and dolphins appeared to feed at slightly lower trophic levels than tiger sharks. In this seagrass-dominated ecosystem, seagrassderived carbon appears to be more important for elasmobranchs than it is for dolphins. Habitat use patterns did not correlate well with the sources of productivity supporting diets, suggesting that habitat use patterns may not necessarily be reflective of the resource pools supporting a population and highlights the importance of detailed datasets on trophic interactions for elucidating the ecological roles of predators.

Effective management of environmental issues, including biodiversity, wild harvests, and biosecurity, relies on timely access to accurate information on environmental state and change. Unlike physical and chemical observations, which are well served by sensor arrays and remote sensing, biological observations are usually difficult to make at scale and at speed. Notwithstanding great strides being made in image and acoustic recognition through machine learning and other technologies, biological observations, especially of non-microbial organisms, in the 21st century are often made with techniques that have much in common with those prevalent in Linnaeus' time, such as capture and sighting records. While these records remain a gold standard in terms of quality assurance for identification, they rarely scale well. Furthermore, fundamental activities such as taxon identification often require specialized knowledge to assess each specimen. This bottleneck limits sample processing speed and is made even more difficult by the increasing scarcity of trained taxonomists (Paknia et al., 2015). Dealing with today's pressing environmental challenges requires a significant improvement in how we monitor ecosystems.

Diet studies provide base understanding of trophic structure and are a valuable initial step for many fields of marine ecology, including conservation and fisheries biology. Considerable complexity in marine trophic structure can exist due to the presence of highly mobile species with long life spans. Mobula rays are highly mobile, large, planktivorous elasmobranchs that are frequently caught either directly or as bycatch in fisheries, which, combined with their conservative life history strategy, makes their populations susceptible to decline in intensely fished regions. Effective management of these iconic and vulnerable species requires an understanding of the diets that sustain them, which can be difficult to determine using conventional sampling methods. We use three DNA metabarcode assays to identify 44 distinct taxa from the stomachs ( n = 101) of four sympatric Mobula ray species ( Mobula birostris , Mobula tarapacana , Mobula japanica , and Mobula thurstoni ) caught over 3 years (2013–2015) in a direct fishery off Bohol in the Philippines. The diversity and incidence of bony fishes observed in ray diets were unprecedented. Nevertheless, rays showed dietary overlap, with krill ( Euphausia ) dominating their diet. Our results provide a more detailed assessment of sympatric ray diets than was previously described and reveal the complexity that can exist in food webs at critical foraging habitats.