Taking movement data to new depths: Inferring prey availability and patch profitability from seabird foraging behavior

Detailed information acquired using tracking technology has the potential to provide accurate pictures of the types of movements and behaviors performed by animals. To date, such data have not been widely exploited to provide inferred information about the foraging habitat. We collected data using multiple sensors (GPS, time depth recorders, and accelerometers) from two species of diving seabirds, razorbills (Alca torda, N = 5, from Fair Isle, UK) and common guillemots (Uria aalge, N = 2 from Fair Isle and N = 2 from Colonsay, UK). We used a clustering algorithm to identify pursuit and catching events and the time spent pursuing and catching underwater, which we then used as indicators for inferring prey encounters throughout the water column and responses to changes in prey availability of the areas visited at two levels: individual dives and groups of dives. For each individual dive (N = 661 for guillemots, 6214 for razorbills), we modeled the number of pursuit and catching events, in relation to dive depth, duration, and type of dive performed (benthic vs. pelagic). For groups of dives (N = 58 for guillemots, 156 for razorbills), we modeled the total time spent pursuing and catching in relation to time spent underwater. Razorbills performed only pelagic dives, most likely exploiting prey available at shallow depths as indicated by the vertical distribution of pursuit and catching events. In contrast, guillemots were more flexible in their behavior, switching between benthic and pelagic dives. Capture attempt rates indicated that they were exploiting deep prey aggregations. The study highlights how novel analysis of movement data can give new insights into how animals exploit food patches, offering a unique opportunity to comprehend the behavioral ecology behind different movement patterns and understand how animals might respond to changes in prey distributions.     

Multiple Paternity Benefits Female Marbled Salamanders by Increasing Survival of Progeny to Metamorphosis

Multiple paternity occurs in most species and animal groups that have been studied. Because mating involves fitness costs to individual females, theory predicts that polyandrous females gain greater fitness benefits than costs, allowing the behavior to be maintained. Genetic, rather than material, benefits often occur in species where males provide females with little more than sperm and seminal fluid. We compared fitness correlates of single‐ and double‐sire clutches from female marbled salamanders (Ambystoma opacum) at the egg, hatchling, and metamorph stages of offspring development. Because clutches were collected from experimental breeding groups, strict paternity exclusion of offspring using microsatellite data allowed us to categorize each clutch as having either one or two fathers. Early offspring viability and size of hatchlings were not different between single‐ and multiple‐paternity clutches. Larvae from the two clutch types were allowed to develop together in field enclosures until metamorphosis. Although there was no difference in size at metamorphosis, survival to metamorphosis was significantly higher in multiple‐paternity clutches (44% vs. 40%) suggesting a benefit for females. The results were consistent with genetic benefits, although maternal effects could not be ruled out. The data did not support predictions of the genetic bet‐hedging and good sperm hypotheses for genetic benefits of polyandry.     

Climate controls over ecosystem metabolism: insights from a fifteen-year inductive artificial neural network synthesis for a subalpine forest

Eddy covariance (EC) datasets have provided insight into climate determinants of net ecosystem productivity (NEP) and evapotranspiration (ET) in natural ecosystems for decades, but most EC studies were published in serial fashion such that one study’s result became the following study’s hypothesis. This approach reflects the hypothetico-deductive process by focusing on previously derived hypotheses. A synthesis of this type of sequential inference reiterates subjective biases and may amplify past assumptions about the role, and relative importance, of controls over ecosystem metabolism. Long-term EC datasets facilitate an alternative approach to synthesis: the use of inductive data-based analyses to re-examine past deductive studies of the same ecosystem. Here we examined the seasonal climate determinants of NEP and ET by analyzing a 15-year EC time-series from a subalpine forest using an ensemble of Artificial Neural Networks (ANNs) at the half-day (daytime/nighttime) time-step. We extracted relative rankings of climate drivers and driver–response relationships directly from the dataset with minimal a priori assumptions. The ANN analysis revealed temperature variables as primary climate drivers of NEP and daytime ET, when all seasons are considered, consistent with the assembly of past studies. New relations uncovered by the ANN approach include the role of soil moisture in driving daytime NEP during the snowmelt period, the nonlinear response of NEP to temperature across seasons, and the low relevance of summer rainfall for NEP or ET at the same daytime/nighttime time step. These new results offer a more complete perspective of climate–ecosystem interactions at this site than traditional deductive analyses alone.     

Hairpin-RNA mediated silencing of endogenous FAD2 gene combined with heterologous expression of Crambe abyssinica FAE gene causes an increase in the level of erucic acid in transgenic Brassica carinata seeds

The 3′-UTR of the FAD2 gene from Brassica carinata was cloned by PCR and used to prepare an intron-spliced hairpin RNA (ihpRNA) construct. Compared to that of the wild type (WT) background, this construct, when expressed in B. carinata, resulted in a high degree of FAD2 gene silencing accompanied by strong increases of up to 16 and 10% in oleic acid and erucic acid proportions, respectively. The increase in 18:1 was accompanied by a concomitant proportional reduction in 18:2. A second construct containing ihpRNA targeted to the endogenous FAD2 gene in addition to the heterologous Crambe abyssinica FAE gene under the control of seed specific napin promoter, was used to transform B. carinata. This approach resulted in an even greater increase in erucic acid proportions, by up to 16% in T₁ segregating seeds as compared to that of the WT control. To our knowledge, this is currently the highest accumulation of erucic acid achieved in B. carinata seeds using transgenic approaches, making it an increasingly-attractive alternative to high erucic B. napus cultivars as an industrial oil crop. Database: The nucleotide sequence reported in this paper has been submitted to the EMBL/GenBank under accession number DQ250814.     

PERMANENT GENETIC RESOURCES: Fifteen polymorphic microsatellite DNA loci from Hawaii's Metrosideros polymorpha (Myrtaceae: Myrtales), a model species for ecology and evolution

We developed 15 polymorphic microsatellite loci from the Hawaiian tree Metrosideros polymorpha. These loci were screened against two varieties from several populations and from 23 individuals from one mid-elevation population on Hawaii Island. Loci were variable with the number of alleles per locus ranging from three to 24. Polymorphic information content ranged from 0.222 to 0.941, and observed heterozygosity ranged from 0.261 to 0.955.     

Evaluating the influence of epidemiological parameters and host ecology on the spread of phocine distemper virus through populations of harbour seals

Background

Outbreaks of phocine distemper virus (PDV) in Europe during 1988 and 2002 were responsible for the death of around 23,000 and 30,000 harbour seals, respectively. These epidemics, particularly the one in 2002, provided an unusual opportunity to estimate epidemic parameters for a wildlife disease. There were marked regional differences in the values of some parameters both within and between epidemics.

Methodology and Principal Findings

We used an individual-based model of seal movement that allowed us to incorporate realistic representations of space, time and animal behaviour into a traditional epidemiological modelling framework. We explored the potential influence of a range of ecological (foraging trip duration, time of epidemic onset, population size) and epidemiological (length of infectious period, contact rate between infectious and susceptible individuals, case mortality) parameters on four readily-measurable epidemic characteristics (number of dead individuals, duration of epidemic, peak mortality date and prevalence) and on the probability that an epidemic would occur in a particular region. We analysed the outputs as if they were the results of a series of virtual experiments, using Generalised Linear Modelling. All six variables had a significant effect on the probability that an epidemic would be recognised as an unusual mortality event by human observers.

Conclusions

Regional and temporal variation in contact rate was the most likely cause of the observed differences between the two epidemics. This variation could be a consequence of differences in the way individuals divide their time between land and sea at different times of the year.     

Three-dimensional sub-100 nm resolution fluorescence microscopy of thick samples

Imaging volumes as thick as whole cells at three-dimensional (3D) super-resolution is required to reveal unknown features of cellular organization. We report a light microscope that generates images with translationally invariant 30 x 30 x 75 nm resolution over a depth of several micrometers. This method, named biplane (BP) FPALM, combines a double-plane detection scheme with fluorescence photoactivation localization microscopy (FPALM) enabling 3D sub-diffraction resolution without compromising speed or sensitivity.