Marker gene sequencing or “metabarcoding” is the primary sequencing approach currently used for molecular biodiversity surveys, but this approach is taxonomically limited and hampered by amplification biases. Shotgun metagenomes offer a PCR–free approach to environmental DNA (eDNA) sequencing, theoretically capturing the full taxonomic breadth of the eDNA pool. However, eukaryotic DNA is often a small component of metagenomes and it has seen limited use for metazoan biodiversity surveys. Here, we compare metabarcoding and shotgun metagenomes on a large (>200 sample size) set of marine water column eDNA samples and show that metagenomes can provide biodiversity information comparable to that of metabarcoding surveys. Moreover, as a result of biases in reference database composition, shotgun sequencing can outperform marker genes for certain taxa. Taxonomic database gaps remain an obstacle to accurate and comprehensive biodiversity surveys for both metabarcoding and shotgun metagenomes. We provide examples of taxa that may benefit from one approach over another and highlight cases of metagenomic utility.

As the Arctic climate rapidly warms, there is a critical need for understanding variability and change in the Arctic carbon cycle, but a lack of long-term observations has hindered progress. This work analyzes and interprets measurements of atmospheric carbon dioxide (CO2) mixing ratios from long-term on-ice measurements (the O-Buoy Network), as well as coastal observatories from 2009-2016. The on-ice measurements show smaller seasonal amplitudes when compared to the coastal observatories, in contrast to the general observation of poleward increases of seasonal cycle amplitude. Average on-ice mixing ratios were lower than their coastal counterparts during the winter and spring months, contradicting the expectation that wintertime presents a poleward increasing gradient of CO2. We compare the observations to CO2; simulated in an updated version of the GEOS-Chem 3-D chemical transport model, which includes new tracers of airmass history and CO2; sources and sinks. The model reproduces the observed features of the seasonal cycle and shows that terrestrial biosphere fluxes and synoptic transport explain most CO2; variability over the surface of the Arctic Ocean. Interannually, the coastal observations were more comparable in overall CO2; growth than concurrent measurements over sea ice. We find evidence indicating the presence of ocean gas exchange in and around sea ice during periods where this growth discrepancy occurs. Periods with large spatial gradients are examined, showing that release of CO2; from Arctic waters in years with low sea ice concentration could possibly contribute to the greater interannual increase of CO2; over sea ice compared to land.

Global change is impacting the oceans in an unprecedented way with resulting changes in species distributions or species loss. There is increasing evidence that multiple environmental stressors act together to constrain species habitat more than expected from single stressor. Here, we conducted a comprehensive study of the combined impact of ocean warming and acidification (OWA) on a global distribution of pteropods, ecologically important pelagic calcifiers and an indicator species for ocean change. We co-validated three different approaches to evaluate the impact of OWA on pteropod survival and distribution. First, we used co-located physical, chemical, and biological data from oceanographic cruises and regional time-series; second, we conducted multifactorial experimental incubations using OWA to evaluate survival; and third, we validated pteropod distributions using global carbonate chemistry and observation datasets. Habitat suitability indices and global distributions suggest that a multi-stressor framework is essential for understanding distributions of this pelagic calcifier.